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ORCID42nd EMBC 2020: Montreal, QC, Canada
- 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2020, Montreal, QC, Canada, July 20-24, 2020. IEEE 2020, ISBN 978-1-7281-1990-8
- Marcel Böttrich, Daniel Laqua
, Peter Husar:
Estimating the Shape of the Fetal Pulse Curve for Transabdominal Pulse Oximetry using Synchronous Averaging*. 1-4 - Frédéric Stucky, Giacomo Cazzaniga, Andrea Aliverti, Bengt Kayser, Barbara Uva:
Automating the correction of flow integration drift during whole-body plethysmography. 5-8 - Krishna Chaitanya Patchava, Mohammed Benaissa, Shuzhi Sam Ge:
Hilbert Huang Transformation with filtering as a pre-treatment method for the quantitative study of glucose in near infrared spectra. 9-12 - Noushin Jafarpisheh, Iván Rosado-Méndez, Timothy J. Hall, Hassan Rivaz:
Regularized Estimation of Effective Scatterer Size and Acoustic Concentration Quantitative Ultrasound Parameters Using Dynamic Programming*. 13-16 - Yannick D'Mello, James Skoric, Siddiqui Hakim, Ezz Aboulezz, Nathan Clairmonte, Michel A. Lortie, David V. Plant:
Identification of the Vibrations Corresponding with Heart Sounds using Vibrational Cardiography. 17-20 - Yuhang Xu, Dongmei Hao, Dingchang Zheng:
Analysis of Electrohysterographic Signal Propagation Direction during Uterine Contraction: the Application of Directed Information. 21-25 - Yuri Antonacci, Luca Faes, Laura Astolfi:
Information Dynamics Analysis: A new approach based on Sparse Identification of Linear Parametric Models*. 26-29 - Saúl J. Ruiz-Gómez, Carlos Gómez, Jesús Poza, Marcos Revilla-Vallejo, Víctor Gutiérrez-de Pablo, Víctor Rodríguez-González, Aaron Maturana-Candelas, Roberto Hornero:
Volume Conduction Effects on Connectivity Metrics: Application of Network Parameters to Characterize Alzheimer's Disease Continuum. 30-33 - Alejandro Gomez, Olga Lucía Quintero, Natalia M. Lopez Celani, Luisa F. Villa:
Emotional Networked maps from EEG signals*. 34-37 - Shuguan Cheng, Mengmeng Li, Haifei Yu, Kun Zhao, Shuo Liu, Hong Wan:
Decoding Pigeon Behavior Outcomes during Goal-directed Decision Task by WSR Functional Network Analysis*. 38-41 - Zian Pei, Tao Xu, Anastasios Bezerianos, Junhua Li, Yu Sun, Hongtao Wang:
The Effect of Longitudinal Training on Working Memory Capacities: An Exploratory EEG Study. 42-45 - Filip Plesinger, Josef Halámek, Jan Chládek, Pavel Jurák, Irena Dolezalova, Jan Chrastina, Milan Brazdil:
Response to Vagal Stimulation by Heart-rate Features in Drug-resistant Epileptic Patients*. 46-49 - Catherine Stamoulis:
A Spectral Clustering Approach for the Classification of Waveform Anomalies in High-Dimensional Brain Signals. 50-53 - Shadi Ghiasi, Andrea Patanè, Alberto Greco, Luca Laurenti, Enzo Pasquale Scilingo, Marta Z. Kwiatkowska:
Gaussian Processes with Physiologically-Inspired Priors for Physical Arousal Recognition. 54-57 - Lan Wei, Soraia Ventura, Madeleine M. Lowery, Mary Anne Ryan, Sean Mathieson, Geraldine B. Boylan, Catherine Mooney:
Random Forest-based Algorithm for Sleep Spindle Detection in Infant EEG. 58-61 - Roneel V. Sharan, Shlomo Berkovsky, Ronnie Taib, Irena Koprinska, Jingjie Li:
Detecting Personality Traits Using Inter-Hemispheric Asynchrony of the Brainwaves. 62-65 - Haruko Yagura, Hiroki Tanaka, Taiki Kinoshita, Hiroki Watanabe, Shunnosuke Motomura, Katsuhito Sudoh, Satoshi Nakamura:
Analysis of selective attention processing on experienced simultaneous interpreters using EEG phase synchronization. 66-69 - Sajila D. Wickramaratne, Md Shaad Mahmud:
Bi-Directional Gated Recurrent Unit Based Ensemble Model for the Early Detection of Sepsis. 70-73 - Tomoya Koike, Kun Qian, Qiuqiang Kong, Mark D. Plumbley, Björn W. Schuller, Yoshiharu Yamamoto:
Audio for Audio is Better? An Investigation on Transfer Learning Models for Heart Sound Classification. 74-77 - Justin Gerolami, Amoon Jamzad, Sijia Li, Sharareh Bayat, Purang Abolmaesumi, Parvin Mousavi:
Soft Tissue Characterization with Temporal Enhanced Ultrasound through Periodic Manipulation of Point Spread Function: A Feasibility Study. 78-81 - Albert S. W. Kang, Anton J. Enright:
Locating patterns in Nanopore currents using time-warped signal representation of consensus nucleotides for demultiplexing and motif detection. 82-86 - Mark Robinson, Lei Lu, Ying Tan, Kusal Goonewardena, Denny Oetomo, Chris Manzie:
Enabling context aware data analysis for long-duration repetitive stooped work through human activity recognition in sheep shearing. 87-90 - Giulia Rocco, Pierluigi Reali, Riccardo Lolatto, Giulia Tacchino, Marco Mandolfo, Alessandra Mazzola, Anna M. Bianchi:
Exploration of the physiological response to an online gambling task by frequency domain analysis of the electrodermal activity. 91-94 - Rachneet Kaur, Maxim Korolkov, Manuel E. Hernandez, Richard B. Sowers:
Automatic Identification of Brain Independent Components in Electroencephalography Data Collected while Standing in a Virtually Immersive Environment - A Deep Learning-Based Approach. 95-98 - Alexander Neergaard Olesen, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen:
Deep transfer learning for improving single-EEG arousal detection. 99-103 - Laura Gschwandtner, Manfred Martin Hartmann, Lisa Oberdorfer, Franz Fürbass, Katrin Klebermaß-Schrehof, Tobias Werther, Nathan J. Stevenson, Gerhard Gritsch, Hannes Perko, Angelika Berger, Tilmann Kluge, Vito Giordano:
Deep learning for estimation of functional brain maturation from EEG of premature neonates. 104-107 - Su Zhang, Cuntai Guan:
Emotion Recognition with Refined Labels for Deep Learning. 108-111 - Nizar Islah, Jamie Koerner, Roman Genov, Taufik A. Valiante, Gerard O'Leary:
Machine Learning with Imbalanced EEG Datasets using Outlier-based Sampling. 112-115 - Wai-Cheong Lincoln Lew, Di Wang, Katsiaryna Shylouskaya, Zhuo Zhang, Joo-Hwee Lim, Kai Keng Ang, Ah-Hwee Tan:
EEG-based Emotion Recognition Using Spatial-Temporal Representation via Bi-GRU. 116-119 - Guan-Yen Chen, Chih-Mao Huang, Ho-Ling Liu, Shwu-Hua Lee, Tatia Mei-Chun Lee, Chemin Lin, Shun-Chi Wu:
Depression Scale Prediction with Cross-Sample Entropy and Deep Learning. 120-123 - Hamidreza Ghonchi, Mansoor Fateh, Vahid Abolghasemi, Saideh Ferdowsi, Mohsen Rezvani:
Spatio-temporal deep learning for EEG-fNIRS brain computer interface. 124-127 - Xiaowei Zhang, Junlei Li, Kechen Hou, Bin Hu, Jian Shen, Jing Pan:
EEG-based Depression Detection Using Convolutional Neural Network with Demographic Attention Mechanism. 128-133 - Konstantinos Patlatzoglou, Srivas Chennu, Olivia Gosseries, Vincent Bonhomme, Audrey Wolff, Steven Laureys:
Generalized Prediction of Unconsciousness during Propofol Anesthesia using 3D Convolutional Neural Networks. 134-137 - Nooshin Bahador, Kristo Erikson, Jouko Laurila, Juha Koskenkari, Tero Ala-Kokko, Jukka Kortelainen:
Automatic detection of artifacts in EEG by combining deep learning and histogram contour processing. 138-141 - Oleksii Avilov, Sébastien Rimbert, Anton Popov, Laurent Bougrain:
Deep Learning Techniques to Improve Intraoperative Awareness Detection from Electroencephalographic Signals. 142-145 - Andreas Brink-Kjaer, Emmanuel Mignot, Helge B. D. Sørensen, Poul Jennum:
Predicting Age with Deep Neural Networks from Polysomnograms. 146-149 - Tom H. G. F. Bakkes, Roel J. H. Montree, Massimo Mischi, Francesco Mojoli, Simona Turco:
A machine learning method for automatic detection and classification of patient-ventilator asynchrony. 150-153 - Sajila D. Wickramaratne, Md Shaad Mahmud:
Automatic Detection of Respiratory Effort Related Arousals With Deep Neural Networks From Polysomnographic Recordings. 154-157 - Lingfeng Li, Richard A. Paris, Conner Pinson, Yan Wang, Joseph R. Coco, Jamison Heard, Julie A. Adams, Daniel Fabbri, Bobby Bodenheimer:
Emergency Clinical Procedure Detection With Deep Learning. 158-163 - Lam Dang Pham, Ian McLoughlin, Huy Phan, Minh Tran, Truc Nguyen, Ramaswamy Palaniappan:
Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases. 164-167 - Melkamu Hunegnaw Asmare, Frehiwot Woldehanna, Luc Janssens, Bart Vanrumste:
Rheumatic Heart Disease Detection Using Deep Learning from Spectro-Temporal Representation of Un-segmented Heart Sounds. 168-171 - Minmin Zhang, Changchun Pan, Haichun Liu, Qinting Zhang, Haozhe Li:
An Attention-Based Deep Learning Method for Schizophrenia Patients Classification Using DNA Methylation Data. 172-175 - Xiao Tang, Maoqi Chen, Xun Chen, Xiang Chen, Xu Zhang:
Hybrid Encoder-Decoder Deep Networks for Decoding Neural Drive Information towards Precise Muscle Force Estimation. 176-179 - Tariq Aiman Saifuzzaman, Khuan Y. Lee, Afaf Rozan Mohd Radzol, Peng Shyan Wong, Irene Looi:
Optimal Scree-CNN for Detecting NS1 Molecular Fingerprint from Salivary SERS Spectra. 180-183 - David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson:
Attention Networks for Multi-Task Signal Analysis. 184-187 - Sanghyun Baek, Jiyong Jang, Sung-Hwan Cho, Jong Min Choi, Sungroh Yoon:
Blood Pressure Prediction by a Smartphone Sensor using Fully Convolutional Networks. 188-191 - Weijian Huang, Li Wang, Zhenxiong Yan, Yanjun Liu:
Classify Motor Imagery by a Novel CNN with Data Augmentation. 192-195 - Milan Rybár, Ian Daly, Riccardo Poli:
Potential pitfalls of widely used implementations of common spatial patterns. 196-199 - Arslan Gait, Vladimir Duisenbinov, Min-Ho Lee, Felix Bießmann, Siamac Fazli:
Inter-subject correlations during natural viewing: A filter-bank approach. 200-203 - Daniel Uher, Petr Klimes, Jan Cimbalnik, Robert Roman, Martin Pail, Milan Brazdil, Pavel Jurák:
Stereo-electroencephalography (SEEG) reference based on low-variance signals. 204-207 - Ebrahim Nemati, Md. Mahbubur Rahman, Viswam Nathan, Korosh Vatanparvar, Jilong Kuang:
A Comprehensive Approach for Classification of the Cough Type. 208-212 - Hok Y. S. Chiu, Christopher J. James:
Introducing a Deflationary Approach to Space-Time ICA that uses temporal methods in Brain Signals Processing. 213-216 - Gan Huang, Zhenxing Hu, Li Zhang, Linling Li, Zhen Liang, Zhiguo Zhang:
Removal of eye-blinking artifacts by ICA in cross-modal long-term EEG recording. 217-220 - Nathan Clairmonte, James Skoric, Yannick D'Mello, Siddiqui Hakim, Ezz Aboulezz, Michel A. Lortie, David V. Plant:
Neural Network-based Classification of Static Lung Volume States using Vibrational Cardiography. 221-224 - Anjulie S. Agrusa, Alexis B. Allegra, David C. Kunkel, Todd P. Coleman:
Robust Methods to Detect Abnormal Initiation in the Gastric Slow Wave from Cutaneous Recordings. 225-231 - Yu-Chiao Tsai, Shih-Hsuan Lai, Ching-Ju Ho, Fang-Ming Wu, Lindor Henrickson, Chia-Chien Wei, Irwin Chen, Vincent Wu, Jyehong Chen:
High Accuracy Respiration and Heart Rate Detection Based on Artificial Neural Network Regression. 232-235 - Sai Bharadwaj Appakaya, Ravi Sankar:
Parkinson's Disease Classification using Pitch Synchronous Speech Segments and Fine Gaussian Kernels based SVM. 236-239 - Shokhrukh Baydadaev, Saidrasul Usmankhujaev, Jangwoo Kwon, Kyusung Kim:
Impulse Classification Network for Video Head Impulse Test. 240-243 - Gaurav Shalin, Scott Pardoel, Julie Nantel, Edward D. Lemaire, Jonathan Kofman:
Prediction of Freezing of Gait in Parkinson's Disease from Foot Plantar-Pressure Arrays using a Convolutional Neural Network. 244-247 - Bing Zou, Mu Shen, Xinhang Li, Yubo Zheng, Lin Zhang:
EEG-based Driving Fatigue Detection during Operating the Steering Wheel Data Section. 248-251 - Mu Shen, Bing Zou, Xinhang Li, Yubo Zheng, Lin Zhang:
Tensor-Based EEG Network Formation and Feature Extraction for Cross-Session Driving Drowsiness Detection. 252-255 - Yuling Li, Shasha Xiao, Yingjie Li, Yunxia Li, Banghua Yang:
Classification of Mild Cognitive Impairment from multi-domain features of resting-state EEG. 256-259 - Seong-Eun Moon, Jong-Seok Lee:
MaDeNet: Disentangling Individuality of EEG Signals through Feature Space Mapping and Detachment. 260-263 - Deniz Kocanaogullari, Jennifer Mak, Jessica Kersey, Aya Khalaf, Sarah Ostadabbas, George F. Wittenberg, Elizabeth Skidmore, Murat Akçakaya:
EEG-based Neglect Detection for Stroke Patients. 264-267 - Shunnosuke Motomura, Hiroki Tanaka, Satoshi Nakamura:
Sequential Attention-based Detection of Semantic Incongruities from EEG While Listening to Speech. 268-271 - Adrian L. Ashley, Mahnaz Arvaneh:
Improving EEG-based error detection using relative peak features. 272-275 - Tuuli Uudeberg, Laura Päeske, Hiie Hinrikus, Jaanus Lass, Maie Bachmann:
Reliability of Electroencephalogram-Based Individual Markers - Case Study. 276-279 - Susmit Bhowmik, Mohammod Abdul Motin, Marc Sarossy, Peter J. Radcliffe, Dinesh Kant Kumar:
Sample entropy analysis of pupillary signals in glaucoma patients and control via light-induced pupillometry. 280-283 - George Hadjiantonis, Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M. Booth, Shrikanth Narayanan, Theodora Chaspari:
Dynamical systems modeling of day-to-day signal-based patterns of emotional self-regulation and stress spillover in highly-demanding health professions. 284-287 - Connor Lennox, Md Shaad Mahmud:
Robust Classification of Cardiac Arrhythmia Using a Deep Neural Network. 288-291 - Po-Ya Hsu, Chung-Kuan Cheng:
Arrhythmia Classification using Deep Learning and Machine Learning with Features Extracted from Waveform-based Signal Processing. 292-295 - Fan Cao, Aamani Budhota, Chen Hao, Kuldeep Singh Rajput:
Feature matching based ECG generative network for arrhythmia event augmentation. 296-299 - Sricharan Vijayarangan, Balamurali Murugesan, Vignesh Ravichandran, S. P. Preejith, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia Classification. 300-303 - Ming Chen, Guijin Wang, Zijian Ding, Jiawei Li, Huazhong Yang:
Unsupervised Domain Adaptation for ECG Arrhythmia Classification. 304-307 - Tianjie Lan, Qihan Hu, Xin Liu, Kaiyue He, Cuiwei Yang:
Arrhythmias Classification Using Short-Time Fourier Transform and GAN Based Data Augmentation. 308-311 - Marco Di Gennaro, Luigi Fusco, Ian Di Dio Lavore, Eleonora D'Arnese, Marco D. Santambrogio:
A faster approach to ECG analysis in emergency situations. 312-315 - Yibo Gao, Huan Wang, Zuhao Liu:
A Novel Approach for Atrial Fibrillation Signal Identification Based on Temporal Attention Mechanism. 316-319 - Laura Cabrera Quiros, Gabriele Varisco, Zhuozhao Zhan, Xi Long, Peter Andriessen, Eduardus J. E. Cottaar, Carola van Pul:
Estimation of Heart Rate Directly from ECG Spectrogram in Neonate Intensive Care Units. 320-323 - Delaram Jarchi, Ales Procházka, Saeid Sanei:
A New Spectrum Driven Index for the Assessment of ECG Signal Quality. 324-327 - Mahdi Shamsi, Tohid Yousefi Rezaii, Soosan Beheshti:
MNDL Sparsity Order Selection for Compressed Sensing with Application in ECG Compression. 328-331 - Atiyeh Fotoohinasab, Toby Hocking, Fatemeh Afghah:
A Graph-constrained Changepoint Detection Approach for ECG Segmentation. 332-336 - Vignesh Kalidas, Lakshman S. Tamil:
Detection of Premature Ventricular Complexes using Semisupervised Autoencoders and Random Forests. 337-340 - Mostafa Ali Shahin, Ethan Oo, Beena Ahmed:
Adversarial Multi-Task Learning for Robust End-to-End ECG-based Heartbeat Classification. 341-344 - Sricharan Vijayarangan, Vignesh Ravichandran, Balamurali Murugesan, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG. 345-348 - Kaiyue He, Gaoyan Zhong, Xiaoman Ding, Cuiwei Yang:
Recognition of Premature Ventricular Contraction Beat from 12Lead ECG Based on A Novel Detection Function of QRS Onset. 349-352 - Jing Hu, Wei Zhao, Dongya Jia, Cong Yan, Hongmei Wang, Zhenqi Li, Jiansheng Fang, Ming Yang:
Deep Multi-instance Networks for Bundle Branch Block Detection from Multi-lead ECG. 353-356 - Chen Hao, Sandi Wibowo, Kuldeep Singh Rajput:
Compressive Sampling Based Multi-Spectrum Deep Learning for Sub-Nyquist Pacemaker ECG Analysis. 357-360 - Ylva Wahlquist, Klaske van Heusden, Guy Albert Dumont, Kristian Soltesz:
Individualized closed-loop anesthesia through patient model partitioning. 361-364 - Keiichiro Inagaki, Seiya Imanaka:
Realistic Mathematical Model of Retinal Outer Plexiform Layer for Edge Detection. 365-368 - Berj L. Bardakjian, Ziling Zhu, Jianan Li, Xinming Huang, Chenyun Dai, Carlos H. Martinez Luna, Benjamin E. McDonald, Todd R. Farrell, Edward A. Clancy:
Efficiently Training Two-DoF Hand-Wrist EMG-Force Models. 369-373 - Sricharan Vijayarangan, Prithvi Suresh, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Robust Modelling of Reflectance Pulse Oximetry for SpO2 Estimation. 374-377 - Muhammad Ali, Neda Sharifi, Nicholas McGrath, Michael J. Cree, Yifan Chen:
Self-Regulated and Co-ordinated Smart Tumor Homing for Complex Vascular Networks. 378-381 - Marta Carrara, Arianna Niccolò, Antoine Herpain, Manuela Ferrario:
Reducing tachycardia in septic shock patients: do esmolol and ivabradine have a chronotropic effect only? 382-385 - Takagi Ryunosuke, Taiga Matsuda, Keiichiro Inagaki:
Roles of the Cerebellar Interneurons on Vestibulo-Ocular Reflex Motor Learning: A Computational Study. 386-389 - Malik Nasir Afzal Khan, M. Raheel Bhutta, Keum-Shik Hong:
Effect of stimulation duration to the existence of initial dip. 390-393 - Murtadha D. Hssayeni, Teresa Wilcox, Behnaz Ghoraani:
Tensor Decomposition of Functional Near-Infrared Spectroscopy (fNIRS) Signals for Pattern Discovery of Cognitive Response in Infants. 394-397 - Dylan Mann Krzisnik, Georgios D. Mitsis:
Modeling BOLD-fMRI Hemodynamics via Multidimensional Decomposition of Electrophysiology Data: A Simulation Study. 398-401 - Farah Nassif, Tohid Yousefi Rezaii, Soosan Beheshti:
Pole-Zero REM Modeling with Application in EEG Artifact Removal. 402-405 - Amina Ghrissi, Douglas Almonfrey, Rafael Costa de Almeida, Fabien Squara, Johan Montagnat, Vicente Zarzoso:
Data Augmentation for Automatic Identification of Spatiotemporal Dispersion Electrograms in Persistent Atrial Fibrillation Ablation Using Machine Learning. 406-409 - Giorgio Luongo, Luca Azzolin, Massimo Walter Rivolta, Roberto Sassi, Juan Pablo Martínez, Pablo Laguna, Olaf Dössel, Andrew Lowe:
Non-Invasive Identification of Atrial Fibrillation Driver Location Using the 12-lead ECG: Pulmonary Vein Rotors vs. other Locations. 410-413 - Vasanth Ravikumar, Elena G. Tolkacheva:
Optimizing Multiscale Entropy Approach for Rotor Core Identification using Simulated Intracardiac Electrograms. 414-417 - Hongmei Wang, Wei Zhao, Zhenqi Li, Dongya Jia, Cong Yan, Jing Hu, Jiansheng Fang, Ming Yang:
A Weighted Graph Attention Network Based Method for Multi-label Classification of Electrocardiogram Abnormalities. 418-421 - Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Disentangled Adversarial Transfer Learning for Physiological Biosignals. 422-425 - Javier Saiz-Vivo, Valentina D. A. Corino, Mirko De Melis, Luca T. Mainardi:
Unsupervised Classification of Atrial Fibrillation Triggers Using Heart Rate Variability Features Extracted from Implantable Cardiac Monitor Data. 426-429 - Pegah Aarabi, Parham Aarabi:
The Impact of Electrode Density and Precision on Brain-Computer Interfaces. 430-433 - Ayman M. Anwar, Ayman M. Eldeib:
EEG Signal Classification Using Convolutional Neural Networks on Combined Spatial and Temporal Dimensions for BCI Systems. 434-437 - Maria Sayu Yamamoto, Khadijeh Sadatnejad, Toshihisa Tanaka, Md. Rabiul Islam, Yuichi Tanaka, Fabien Lotte:
Detecting EEG outliers for BCI on the Riemannian manifold using spectral clustering. 438-441 - Soroosh Shahtalebi, Amir Asif, Arash Mohammadi:
Siamese Neural Networks for EEG-based Brain-computer Interfaces. 442-446 - Khairul Anam, Saiful Bukhori, Faruq Sandi Hanggara, Mahardhika Pratama:
Subject-independent Classification on Brain-Computer Interface using Autonomous Deep Learning for finger movement recognition. 447-450 - Dong Hai, Chao Chen, Ruhan Yi, Shuiping Gou, Bo Yu Su, Changzhe Jiao, Marjorie Skubic:
Heartbeat Detection and Rate Estimation from Ballistocardiograms using the Gated Recurrent Unit Network. 451-454 - Yongfeng Huang, Chenxi Sun, Tianchen Jin, Shuchen Yang, Zhiming Zhang:
Unobtrusive Inter-beat Interval Estimation from Multichannel Ballistocardiogram Signal Using Kalman Filter. 455-460 - Sean Perry, Natasha A. Khovanova, Igor A. Khovanov:
Enhancement of Synchronization between Physiological Signals during Exercise: A Preliminary Investigation. 461-464 - Guillaume Cathelain, Bertrand Rivet, Sophie Achard, Jean Bergounioux, François Jouen:
U-Net Neural Network for Heartbeat Detection in Ballistocardiography. 465-468 - Laura I. Bogatu, Simona Turco, Massimo Mischi, Pierre Woerlee, R. Arthur Bouwman, Erik Korsten, Jens Muehlsteff:
Method for measurement of arterial compliance by fusion of oscillometry and pulse wave velocity. 469-472 - Jonathan Zia, Jacob Kimball, Omer T. Inan:
Localizing Placement of Cardiomechanical Sensors during Dynamic Periods via Template Matching. 473-476 - Yuki Iwata, Koichiro Ishibashi, Guanghao Sun, Ha Manh Luu, Trong Thanh Han, Nguyen Linh Trung, Do Trong Tuan:
Contactless Heartbeat Detection from CW-Doppler Radar using Windowed-Singular Spectrum Analysis*. 477-480 - Fan Yang, Zixiong Han, Miodrag Bolic:
Detection of Respiratory Signal Based on Depth Camera Body Tracking. 481-484 - Xiuzhu Yang, Yibo Yu, Hongyu Qian, Xinyue Zhang, Lin Zhang:
Body Orientation and Vital Sign Measurement With IR-UWB Radar Network. 485-488 - Shan He, Varun Mehta, Miodrag Bolic:
A Joint Localization Assisted Respiratory Rate Estimation using IR-UWB Radars. 489-493 - Konstantinos Kyritsis, Petter Fagerberg, Ioannis Ioakimidis, Lisa Klingelhöfer, Heinz Reichmann, Anastasios Delopoulos:
Using IMU Sensors to Assess Motor Degradation of PD Patients by Modeling In-meal Plate-to-Mouth Movement Elongation. 494-497 - Ian Daly, Milan Rybár:
Neural component analysis: source localisation for motor imagery classification. 498-501 - Xueyi Lin, Lu Wang, Tomoaki Ohtsuki:
Online Recursive ICA Algorithm Used for Motor Imagery EEG Signal. 502-505 - Lingyun Gu, Zhenhua Yu, Tian Ma, Haixian Wang, Zhanli Li, Hui Fan:
Random matrix theory for analysing the brain functional network in lower limb motor imagery. 506-509 - Qihang Yang, Xuan Zhang, Badong Chen:
MI3DNet: A Compact CNN for Motor Imagery EEG Classification with Visualizable Dense Layer Parameters. 510-513 - Ce Zhang, Azim Eskandarian:
A Computationally Efficient Multiclass Time-Frequency Common Spatial Pattern Analysis on EEG Motor Imagery. 514-518 - Oluwagbenga Paul Idowu, Peng Fang, Guanglin Li:
Bio-Inspired Algorithms for Optimal Feature Selection in Motor Imagery-Based Brain-Computer Interface*. 519-522 - Xiaomu Song, Luis Aguilar, Suk-Chung Yoon:
AA Comparison of Dynamic Modeling Approaches for Epileptic EEG Detection and Classification. 523-527 - Adelson Chua, Michael I. Jordan, Rikky Muller:
Unsupervised Online Learning for Long-Term High Sensitivity Seizure Detection. 528-531 - Kostas M. Tsiouris, Spyridon Konitsiotis, Dimitrios A. Gatsios, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis:
Automatic Absence Seizures Detection in EEG signals: An Unsupervised Module. 532-535 - Fatemeh Asgarinejad, Anthony Thomas, Tajana Rosing:
Detection of Epileptic Seizures from Surface EEG Using Hyperdimensional Computing. 536-540 - Renjie Zhang, Xinyu Jiang, Chenyun Dai, Wei Chen:
Tensor-based Uncorrelated Multilinear Discriminant Analysis for Epileptic Seizure Prediction. 541-544 - Roneel V. Sharan, Shlomo Berkovsky:
Epileptic Seizure Detection Using Multi-Channel EEG Wavelet Power Spectra and 1-D Convolutional Neural Networks. 545-548 - Karin Schiecke, Andy Schumann, Karl-Jürgen Bär:
Influence of Individual Heart Rate on Nonlinear Brain-Heart Interactions Estimated by Convergent Cross Mapping in Schizophrenic Patients and Healthy Controls. 549-552 - Diego Candia-Rivera, Vincenzo Catrambone, Gaetano Valenza:
Methodological Considerations on EEG Electrical Reference: A Functional Brain-Heart Interplay Study. 553-556 - Alireza Talebi, Vincenzo Catrambone, Riccardo Barbieri, Gaetano Valenza:
An Inhomogeneous Point-process Model for the Assessment of the Brain-to-Heart Functional Interplay: a Pilot Study. 557-560 - Vincenzo Catrambone, Herwig Wendt, Riccardo Barbieri, Patrice Abry, Gaetano Valenza:
Quantifying Functional Links between Brain and Heartbeat Dynamics in the Multifractal Domain: a Preliminary Analysis. 561-564 - Gary Garcia Molina, Boomika Kalyan, Antonio Aquino:
Closed-loop Electroencephalogram-based modulated audio to fall and deepen sleep faster. 565-568 - David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Lars Petersson, Matthew J. Aburn, Clinton Fookes:
Neural Memory Networks for Seizure Type Classification. 569-575 - Rita Laureanti, Marco Bilucaglia, Margherita Zito, Riccardo Circi, Alessandro Fici, Fiamma Rivetti, Riccardo Valesi, Carlo Oldrini, Luca T. Mainardi, Vincenzo Russo:
Emotion assessment using Machine Learning and low-cost wearable devices. 576-579 - Yunfei Cheng, Yalan Ye, Mengshu Hou, Wenwen He, Tongjie Pan:
Multi-label Arrhythmia Classification from Fixed-length Compressed ECG Segments in Real-time Wearable ECG Monitoring. 580-583 - Gianluca Borghini, Pietro Aricò, Gianluca Di Flumeri, Nicolina Sciaraffa, Vincenzo Ronca, Alessia Vozzi, Fabio Babiloni:
Assessment of Athletes' Attitude: Physiological Evaluation via Wearable Sensors during Grappling Competitions. 584-587 - Shreyasi Datta, Chandan K. Karmakar, Bernard Yan, Marimuthu Palaniswami:
Poincaré Descriptors for Identifying Hemiparesis in Acute Stroke using Wearable Accelerometry. 588-591 - Md Billal Hossain, Jesús Lázaro, Yeon-Sik Noh, Ki H. Chon:
Denoising Wearable Armband ECG Data Using the Variable Frequency Complex Demodulation Technique. 592-595 - Jesús Lázaro, Natasa Reljin, Raquel Bailón, Eduardo Gil, Yeon-Sik Noh, Pablo Laguna, Ki H. Chon:
Electrocardiogram Derived Respiration for Tracking Changes in Tidal Volume from a Wearable Armband. 596-599 - Ian Zuzarte, Alan H. Gee, Dagmar Sternad, David Paydarfar:
Automated movement detection reveals features of maturation in preterm infants. 600-603 - Ahsan H. Khandoker, Maisam Wahbah, Raghad Al Sakaji, Kiyoe Funamoto, Anita Krishnan, Yoshitaka Kimura:
Estimating Fetal Age by Fetal Maternal Heart Rate Coupling Parameters. 604-607 - Eleni Fotiadou, Mengzhu Xu, Bart van Erp, Ruud J. G. van Sloun, Rik Vullings:
Deep Convolutional Long Short-Term Memory Network for Fetal Heart Rate Extraction. 608-611 - Nicolò Pini, Maristella Lucchini, William P. Fifer, Riccardo Barbieri:
A Point Process Framework for the Characterization of Fetal Sleep States. 612-615 - Lu Wang, Tomoaki Ohtsuki, Kazunari Owada, Naoki Honma, Hayato Hayashi:
Joint Multiple Subspace-based BSS Method for Fetal Heart Rate Extraction from Non-invasive Recordings. 616-620 - Emerson Keenan, Radhagayathri K. Udhayakumar, Chandan K. Karmakar, Fiona C. Brownfoot, Marimuthu Palaniswami:
Entropy Profiling for Detection of Fetal Arrhythmias in Short Length Fetal Heart Rate Recordings. 621-624 - Wenshuai Wang, Pan Liao, Yi Sun, Guiping Su, Shiwei Ye, Yan Liu:
Automatic Sleep Stage Classification using Marginal Hilbert Spectrum Features and a Convolutional Neural Network. 625-628 - Samantha Sun, Linxing Preston Jiang, Steven M. Peterson, Jeffrey Herron, Kurt E. Weaver, Andrew L. Ko, Jeffrey G. Ojemann, Rajesh P. N. Rao:
Unsupervised Sleep and Wake State Identification in Long-Term Electrocorticography Recordings. 629-632 - Fernando Vaquerizo-Villar, Daniel Álvarez, Leila Kheirandish-Gozal, Gonzalo C. Gutiérrez-Tobal, Javier Gomez-Pilar, Andrea Crespo, Félix del Campo, David Gozal, Roberto Hornero:
Automatic Assessment of Pediatric Sleep Apnea Severity Using Overnight Oximetry and Convolutional Neural Networks. 633-636 - Roneel V. Sharan, Shlomo Berkovsky, Hao Xiong, Enrico W. Coiera:
ECG-Derived Heart Rate Variability Interpolation and 1-D Convolutional Neural Networks for Detecting Sleep Apnea. 637-640 - Akara Supratak, Yike Guo:
TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG. 641-644 - Kaare B. Mikkelsen, Yousef Rezaei Tabar, Preben Kidmose:
Predicting Sleep Classification Performance without Labels. 645-648 - Yuzhou Lin, Ramaswamy Palaniappan, Philippe De Wilde, Ling Li:
A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNet. 649-652 - Robin Ayling, Colin G. Johnson, Ling Li, Ramaswamy Palaniappan:
Pose Estimation from Electromyographical Data using Convolutional Neural Networks. 653-656 - Ahmed A. Al Taee, Rami N. Khushaba, Ali H. Al-Timemy, Adel Al-Jumaily:
Recurrent Fusion of Time-Domain Descriptors Improves EMG-based Hand Movement Recognition. 657-661 - Lutz Leistritz, Jakob Hochreiter, Fabian E. Bachl, Gerd Fabian Volk:
Classification of facial movements in chronic facial palsy based on intramuscular EMG signals recorded from the paretic side. 662-665 - Maurício Cagliari Tosin, Leia B. Bagesteiro, Alexandre Balbinot:
Genetic Algorithm Application to Feature Selection in sEMG Movement Recognition with Regularized Extreme Learning Machine. 666-669 - Mashal Fatima, Kashaf Gulzar, Kainat Raza Khan, Fatima Amjad, Muhammad Shafique:
Trapezius or facial muscles: Which one is more suitable for the measurement of stress using sEMG signals? 670-673 - Takayuki Hoshino, Suguru Kanoga, Masashi Tsubaki, Atsushi Aoyama:
Analysis and Usage: Subject-to-subject Linear Domain Adaptation in sEMG Classification. 674-677 - Luiz J. L. Barbosa, Otávio Nogueira, Vinícius O. Silva, Paulo V. P. Cotta, Fernando V. G. de Souza, Michael D. C. de Araujo, Pedro H. G. Inazawa, Alberto López Delis, Adson F. da Rocha:
Entropy and Clustering Information Applied to sEMG Classification. 678-681 - Hajar Sharif, Seung Byum Seo, Thenkurussi Kesavadas:
Hand gesture recognition using surface electromyography. 682-685 - Artemiy Oleinikov, Berdakh Abibullaev, Michele Folgheraiter:
On the Classification of Electromyography Signals to Control a Four Degree-Of-Freedom Prosthetic Device. 686-689 - S. Edward Jero, Krishnamani Divya Bharathi, S. Ramakrishnan:
A Method to Differentiate Fatiguing Conditions in Surface Electromyography Signals using Instantaneous Spectral Centroid. 690-693 - Kaniska Samanta, Sayanjit Singha Roy, Sudip Modak, Soumya Chatterjee, Rohit Bose:
Neuromuscular Disease Detection Employing Deep Feature Extraction from Cross Spectrum Images of Electromyography Signals. 694-697 - Laura Gagliano, Elie Bou Assi, Dènahin Hinnoutondji Toffa, Dang Khoa Nguyen, Mohamad Sawan:
Unsupervised Clustering of HRV Features Reveals Preictal Changes in Human Epilepsy. 698-701 - Norma Angelica Alvarado-Alvarez, Sonia Charleston-Villalobos, Sina Reulecke, Guadalupe Dorantes-Méndez, Andreas Voss, Ramón González-Camarena, Tomás Aljama-Corrales:
Time-Frequency Analysis of Cardiovascular Variability during an Orthostatic Stress by Complete EMD. 702-705 - Mattia Zanon, Lito Kriara, Florian Lipsmeier, David Nobbs, Christopher Chatham, Joerg F. Hipp, Michael Lindemann:
A quality metric for heart rate variability from photoplethysmogram sensor data. 706-709 - Paolo Castiglioni, Davide Lazzeroni, Paolo Coruzzi, Andrea Faini:
Sex Differences in Heart Rate Nonlinearity by Multifractal Multiscale Detrended Fluctuation Analysis. 710-713 - Mohanad Alkhodari, Herbert F. Jelinek, Naoufel Werghi, Leontios J. Hadjileontiadis, Ahsan H. Khandoker:
Investigating Circadian Heart Rate Variability in Coronary Artery Disease Patients with Various Degrees of Left Ventricle Ejection Fraction. 714-717 - Muhammad Shaufil Adha, Tomohiko Igasaki:
Concurrent Model for Three Negative Emotions Using Heart Rate Variability in a Driving Simulator Environment. 718-721 - Simon Tam, Mounir Boukadoum, Alexandre Campeau-Lecours, Benoit Gosselin:
Forearm High-Density Electromyography Data Visualization and Classification with Machine Learning for Hand Prosthesis Control. 722-727 - Xinyu Jiang, Ke Xu, Xiangyu Liu, Da Liu, Chenyun Dai, Wei Chen:
High-Density Surface Electromyogram-based Biometrics for Personal Identification. 728-731 - Lakshmi Madathil Hari, Venugopal Gopinathakaimal, Ramakrishnan Swaminathan:
Analysis of Isometric Muscle Contractions using Analytic Bump Continuous Wavelet Transform. 732-735 - Filip Urh, Damjan Strnad, Alex Clarke, Dario Farina, Ales Holobar:
On the Selection of Neural Network Architecture for Supervised Motor Unit Identification from High-Density Surface EMG. 736-739 - Shihan Ma, Chen Chen, Dong Han, Xinjun Sheng, Dario Farina, Xiangyang Zhu:
Subject-Specific EMG Modeling with Multiple Muscles: A Preliminary Study. 740-743 - Md. Rabiul Islam, Daniel Massicotte, François Nougarou, Philippe Y. Massicotte, Wei-Ping Zhu:
S-Convnet: A Shallow Convolutional Neural Network Architecture for Neuromuscular Activity Recognition Using Instantaneous High-Density Surface EMG Images. 744-749 - Marcel Mlynczak:
Temporal orders and causal vector for physiological data analysis. 750-753 - Chiu-Han Hsiao, Ting-Wei Lin, Chii-Wann Lin, Fu-Shun Hsu, Frank Yeong-Sung Lin, Chung-Wei Chen, Chi-Ming Chung:
Breathing Sound Segmentation and Detection Using Transfer Learning Techniques on an Attention-Based Encoder-Decoder Architecture. 754-759 - Truc Nguyen, Franz Pernkopf:
Lung Sound Classification Using Snapshot Ensemble of Convolutional Neural Networks. 760-763 - N. Montazeri Ghahjaverestan, Shumit Saha, Bojan Gavrilovic, Azadeh Yadollahi:
Removing of Snoring Segments from Tracheal Breathing Sounds using a Wavelet-based Algorithm. 764-767 - Liqun Wu, Ling Li:
Investigating into segmentation methods for diagnosis of respiratory diseases using adventitious respiratory sounds. 768-771 - Annapurna Kala, Amyna Husain, Eric D. McCollum, Mounya Elhilali:
An objective measure of signal quality for pediatric lung auscultations. 772-775 - Parvathy Nair, Roth Trisno, Maryam Shojaei Baghini, Gita Pendharkar, Hoam Chung:
Predicting Early Stage Drug Induced Parkinsonism using Unsupervised and Supervised Machine Learning. 776-779 - Zhibin Zhao, Hui Fang, Stefan Williams, Samuel D. Relton, Jane E. Alty, Alexander J. Casson, David C. Wong:
Time series clustering to examine presence of decrement in Parkinson's finger-tapping bradykinesia. 780-783 - Anirudh Som, Narayanan Krishnamurthi, Matthew P. Buman, Pavan K. Turaga:
Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson's Disease Classification of Gait Patterns. 784-788 - Stefan Fischer, Martin Ullrich, Arne Küderle, Heiko Gaßner, Jochen Klucken, Björn M. Eskofier, Felix Kluge:
Automatic clinical gait test detection from inertial sensor data. 789-792 - Afra Nawar, Farhan Rahman, Narayanan Krishnamurthi, Anirudh Som, Pavan K. Turaga:
Topological Descriptors for Parkinson's Disease Classification and Regression Analysis. 793-797 - Yor Jaggy Castaño-Pino, Maria Camila Gonzalez, Valentina Quintana-Peña, Jaime Valderrama, Beatriz Muñoz, Jorge Luis Orozco, Andrés Navarro:
Automatic Gait Phases Detection in Parkinson Disease: A Comparative Study. 798-802 - Kai-Yu Chen, Wei-Zhong Zheng, Yu-Yi Lin, Shih-Tsang Tang, Li-Wei Chou, Ying-Hui Lai:
Deep-learning-based human motion tracking for rehabilitation applications using 3D image features. 803-807 - Andreas Ziegl, Dieter Hayn, Peter Kastner, Kerstin Löffler, Lisa Weidinger, Bianca Brix, Nandu Goswami, Günter Schreier:
Machine Learning Based Walking Aid Detection in Timed Up-and-Go Test Recordings of Elderly Patients. 808-811 - Yang Hu, Alka Bishnoi, Rachneet Kaur, Richard B. Sowers, Manuel E. Hernandez:
Exploration of Machine Learning to Identify Community Dwelling Older Adults with Balance Dysfunction Using Short Duration Accelerometer Data. 812-815 - Bipasha Kashyap, Dung Phan, Pubudu N. Pathirana, Malcolm Horne, Laura Power, David Szmulewicz:
A Sensor-Based Comprehensive Objective Assessment of Motor Symptoms in Cerebellar Ataxia. 816-819 - Ragil Krishna, Pubudu N. Pathirana, Louise A. Corben, Malcolm Horne, Martin B. Delatycki, David J. Szmulewicz:
Quantitative Assessment of Friedreich Ataxia through the self-drinking activity. 820-823 - Sandya Subramanian, Riccardo Barbieri, Patrick L. Purdon, Emery N. Brown:
Detecting Loss and Regain of Consciousness during Propofol Anesthesia using Multimodal Indices of Autonomic State. 824-827 - Kasun G. Samarawickrama, Nipun D. Perera, Saroj Jayasinghe, Anjula C. De Silva:
Impedance Plethysmography as an Alternative Measure of Reactive Hyperemia. 828-831 - James R. Williamson, Kristin J. Heaton, Adam C. Lammert, Katherine Finkelstein, Douglas E. Sturim, Christopher J. Smalt, Gregory A. Ciccarelli, Thomas F. Quatieri:
Audio, Visual, and Electrodermal Arousal Signals as Predictors of Mental Fatigue Following Sustained Cognitive Work. 832-836 - Henry Han, Leo K. Cheng, Recep Avci, Niranchan Paskaranandavadivel:
Detection of Slow Wave Propagation Direction Using Bipolar High-Resolution Recordings. 837-840 - Xinke Shen, Xin Hu, Shizhao Liu, Sen Song, Dan Zhang:
Exploring EEG microstates for affective computing: decoding valence and arousal experiences during video watching*. 841-846 - Ying Wang, Floris Beuving, Jorik Nonnekes, Mike X. Cohen, Xi Long, Ronald M. Aarts, Richard van Wezel:
Freezing of gait detection in Parkinson's disease via multimodal analysis of EEG and accelerometer signals. 847-850 - Gianluca Borghini, Andrea Bandini, Silvia Orlandi, Gianluca Di Flumeri, Pietro Aricò, Nicolina Sciaraffa, Vincenzo Ronca, Stefano Bonelli, Martina Ragosta, Paola Tomasello, Ugur Turhan, Birsen Açikel, Ali Ozan, Jean-Paul Imbert, Géraud Granger, Raïlane Benhacène, Fabrice Drogoul, Fabio Babiloni:
Stress Assessment by Combining Neurophysiological Signals and Radio Communications of Air Traffic Controllers. 851-854 - Muskan Singla, Syed Azeemuddin, Prasad Sistla:
Learning-Based Model for Central Blood Pressure Estimation using Feature Extracted from ECG and PPG signals. 855-858 - Ha Tran, Khoa D. Nguyen, Pubudu N. Pathirana, Malcolm Horne, Laura Power, David J. Szmulewicz:
Multimodal Data Acquisition for the Assessment of Cerebellar Ataxia via Ballistic Tracking. 859-862 - Mizpah Selvam S. Johnson, J. Mikael Eklund:
A Review of Photoplethysmography-based Physiological Measurement and Estimation, Part 2: Multi-input Methods. 863-866 - Syem Ishaque, Alice Rueda, Binh P. Nguyen, Naimul Mefraz Khan, Sridhar Krishnan:
Physiological Signal Analysis and Classification of Stress from Virtual Reality Video Game. 867-870 - Ming Jiang, Sunday M. Francis, Angela Tseng, Diksha Srishyla, Megan DuBois, Katie Beard, Christine Conelea, Qi Zhao, Suma Jacob:
Predicting Core Characteristics of ASD Through Facial Emotion Recognition and Eye Tracking in Youth. 871-875 - Zeinab Schäfer, Lars Haab, Karsten Schwerdtfeger, Kazutaka Takahashi, Daniel J. Strauss:
Detection of information flow between cortical laminae activities and auditory evoked potentials in rats by means of Granger causality. 876-879 - Shengwei Xu, Yu Zhang, Guihua Xiao, Yiming Duan, Mixia Wang, Yilin Song, Yuchuan Dai, Juntao Liu, Jinping Luo, Song Zhang, Ping Zhuang, Piu Chan, Feng Yue, Xinxia Cai:
Research on the Characteristics of Action Potentials and Local Field Potentials in Cortex of Parkinson's Disease Mode Monkey *. 880-883 - Oscar Savolainen, Timothy G. Constandinou:
Predicting Single-Unit Activity from Local Field Potentials with LSTMs. 884-887 - Maxime Peralta, Quoc Anh Bui, Antoine Ackaouy, Thibault Martin, Greydon Gilmore, Claire Haegelen, Paul Sauleau, John S. H. Baxter, Pierre Jannin:
SepaConvNet for Localizing the Subthalamic Nucleus Using One Second Micro-electrode Recordings. 888-893 - Sepideh Mirzaei, Hossein Hosseini-Nejad, Amir M. Sodagar:
Spike Detection Technique Based on Spike Augmentation with Low Computational and Hardware Complexity. 894-897 - Yousef Khazaei, Ali Abbasi Shahkooh, Amir M. Sodagar:
Spatial Redundancy Reduction in Multi-Channel Implantable Neural Recording Microsystems. 898-901 - Shun Hinatsu, Daisuke Suzuki, Hiroki Ishizuka, Sei Ikeda, Osamu Oshiro:
Photoplethysmographic Subject Identification by Considering Feature Values Derived from Heartbeat and Respiration. 902-905 - Valentina D. A. Corino, Federico Salibra, Luca T. Mainardi:
Atrial fibrillation detection using photoplethysmographic signal: the effect of the observation window. 906-909 - João Jorge, Martin Proença, Clémentine Aguet, Jérôme Van Zaen, Guillaume Bonnier, Phillipe Renevey, Alia Lemkaddem, Patrick Schoettker, Mathieu Lemay:
Machine Learning Approaches For Improved Continuous, Non-occlusive Arterial Pressure Monitoring Using Photoplethysmography. 910-913 - Raymundo Cassani, Abhishek Tiwari, Tiago H. Falk:
Optimal filter characterization for photoplethysmography-based pulse rate and pulse power spectrum estimation. 914-917 - Dibyendu Roy, Oishee Mazumder, Kingshuk Chakravarty, Aniruddha Sinha, Avik Ghose, Arpan Pal:
Parameter Estimation of Hemodynamic Cardiovascular Model for Synthesis of Photoplethysmogram Signal. 918-922 - Mizpah Selvam S. Johnson, J. Mikael Eklund:
A Review of Photoplethysmography-based Physiological Measurement and Estimation, Part 1: Single Input Methods. 923-927 - Clément Lalanne, Maxence Rateaux, Laurent Oudre, Matthieu P. Robert, Thomas Moreau:
Extraction of Nystagmus Patterns from Eye-Tracker Data with Convolutional Sparse Coding. 928-931 - Sangmin S. Lee, Kiwon Lee, Guiyeom Kang:
EEG Artifact Removal by Bayesian Deep Learning & ICA. 932-935 - Rui Gong, Kazunori Hase, Hiroaki Goto, Keisuke Yoshioka:
Post-processing algorithm for removing soft-tissue movement artifacts from vibroarthrographic knee-joint signal. 936-939 - Emma Farago, Adrian D. C. Chan:
Simulating Motion Artifact Using an Autoregressive Model for Research in Biomedical Signal Quality Analysis. 940-943 - Xuanteng Yan, Marie-Hélène Boudrias, Georgios D. Mitsis:
Artifact Removal in tACS-EEG Recordings: A Combined Methodology Based on the Empirical Wavelet Transform. 944-947 - Daniel Cheong, Fan Zhang, Kaitlyn Kim, Adaira Reid, Cameron Hanan, Lei Ding, Han Yuan:
Task-Related Systemic Artifacts in Functional Near-Infrared Spectroscopy*. 948-951 - Nikhil Shankar, Gautam Shreedhar Bhat, Issa M. S. Panahi:
Real-time dual-channel speech enhancement by VAD assisted MVDR beamformer for hearing aid applications using smartphone. 952-955 - Gautam Shreedhar Bhat, Nikhil Shankar, Issa M. S. Panahi:
Automated machine learning based speech classification for hearing aid applications and its real-time implementation on smartphone. 956-959 - Yin Liu, Fei Ji, Qin Gong:
Analyzing Stimulus-frequency Otoacoustic Emission Fine Structure Using an Additive Model*. 960-963 - Garima Sharma, Deepak Prasad, Karthikeyan Umapathy, Sridhar Krishnan:
Screening and analysis of specific language impairment in young children by analyzing the textures of speech signal. 964-967 - Kashyap Patel, Issa M. S. Panahi:
Compression Fitting of Hearing Aids and Implementation. 968-971 - Kashyap Patel, Issa M. S. Panahi:
Efficient Real-Time Acoustic Feedback Cancellation using Adaptive Noise Injection Algorithm. 972-975 - Shumit Saha, Keerthana Viswanathan, N. Montazeri Ghahjaverestan, Azadeh Yadollahi:
Relationship between Vowel Sound Features and Pharyngeal Airway Cross-Sectional Area during Normal Breathing*. 976-979 - Hong-Ming Ji, Tzu-Chien Hsiao:
Instantaneous Respiratory Response of Gamer with High-Risk Internet Gaming Disorder during Game-Film Stimuli by Using Complementary Ensemble Empirical Mode Decomposition. 980-983 - Yinan Deng, Tangwen Yang, Shaotao Dai, Guoli Song:
Signal Feature Analysis of Contact Force at the Tip of a Flexible Ureteroscope*. 984-987 - Mengyue Su, Xizi Song, Yijie Zhou, Jiajia Yang, Yufeng Ke, Dong Ming:
Acoustoelectric Signal Decoding Based on Fourier Approximation. 988-991 - Stephanie Graceffo, Amyna Husain, Salahuddin Ahmed, Eric D. McCollum, Mounya Elhilali:
Validation of Auscultation Technologies using Objective and Clinical Comparisons. 992-997 - Roneel V. Sharan, Shlomo Berkovsky, Sidong Liu:
Voice Command Recognition Using Biologically Inspired Time-Frequency Representation and Convolutional Neural Networks. 998-1001 - Pengna Wei, Jinhua Zhang, Pingping Wei, Baozeng Wang, Jun Hong:
Different sEMG and EEG Features Analysis for Gait phase Recognition. 1002-1006 - Yousef Rezaei Tabar, Kaare B. Mikkelsen, Mike Lind Rank, Martin Christian Hemmsen, Preben Kidmose:
Muscle Activity Detection during Sleep by Ear-EEG. 1007-1010 - Hamid Abbasi, Alistair J. Gunn, Laura Bennet, Charles P. Unsworth:
Wavelet Spectral Deep-training of Convolutional Neural Networks for Accurate Identification of High-Frequency Micro-Scale Spike Transients in the Post-Hypoxic-Ischemic EEG of Preterm Sheep. 1011-1014 - Hamid Abbasi, Alistair J. Gunn, Laura Bennet, Charles P. Unsworth:
Deep Convolutional Neural Network and Reverse Biorthogonal Wavelet Scalograms for Automatic Identification of High Frequency Micro-Scale Spike Transients in the Post-Hypoxic-Ischemic EEG. 1015-1018 - Francesca Marturano, Sabrina Brigadoi, Mattia Doro, Roberto Dell'Acqua, Giovanni Sparacino:
A Time-Frequency Analysis for the Online Detection of the N2pc Event-Related Potential (ERP) Component in Individual EEG Datasets. 1019-1022 - Brian Michael Murphy, Robert M. Goulding, John M. O'Toole:
Detection of Transient Bursts in the EEG of Preterm Infants using Time-Frequency Distributions and Machine Learning. 1023-1026 - Dan Tao, Yue Leng, Sheng Ge, Hui-Hua Deng:
Trait empathy modulates brain response to empathy for social rejection: Evidence from electrophysiology. 1027-1030 - Paria Amiri, Hamid Abbasi, Amin Derakhshan, Behdad Gharib, Behrang Nooralishahi, Mohamadreza Mirzaaghayan:
Potential Prognostic Markers in the Heart Rate Variability Features for Early Diagnosis of Sepsis in the Pediatric Intensive Care Unit using Convolutional Neural Network Classifiers. 1031-1034 - Sejal Gunaratnam, Dinakar Talluri, Patrick Greene, Pierre Sacré, Jorge Gonzalez-Martinez, Sridevi V. Sarma:
High Frequency Activity in the Orbital Frontal Cortex Modulates with Mismatched Expectations During Gambling in Humans. 1035-1038 - Hamid Abbasi, Alistair J. Gunn, Charles P. Unsworth, Laura Bennet:
Wavelet Spectral Time-Frequency Training of Deep Convolutional Neural Networks for Accurate Identification of Micro-Scale Sharp Wave Biomarkers in the Post-Hypoxic-Ischemic EEG of Preterm Sheep. 1039-1042 - Tomohiko Igasaki, Sho Hiramatsu, Daiki Yanagihara, Yuta Baba:
Emotion Evaluation During Working on a Puzzle by Spatiotemporal Pattern of Band Power of Electroencephalogram. 1043-1046 - Stefano Scafa, Luigi Fiorillo, Marta Lucchini, Corinne Roth, Valentina Agostini, Alberto Vancheri, Francesca D. Faraci:
Personalized Sleep Spindle Detection in Whole Night Polysomnography. 1047-1050 - Saheli Bhattacharya, Laura Bennet, Joanne O. Davidson, Charles P. Unsworth:
A novel approach to segment cortical neurons in histological images of the near-term fetal sheep brain model. 1051-1054 - Mohammed A. Al-masni, Woo-Ram Kim, Eung-Yeop Kim, Young Noh, Dong-Hyun Kim:
A Two Cascaded Network Integrating Regional-based YOLO and 3D-CNN for Cerebral Microbleeds Detection. 1055-1058 - Yuhao Lu, Juan Helen Zhou, Cuntai Guan:
Minimizing Hybrid Dice Loss for Highly Imbalanced 3D Neuroimage Segmentation. 1059-1062 - Ali Jalalifar, Hany Soliman, Arjun Sahgal, Ali Sadeghi-Naini:
A Cascaded Deep-Learning Framework for Segmentation of Metastatic Brain Tumors Before and After Stereotactic Radiation Therapy*. 1063-1066 - Ali Jalalifar, Hany Soliman, Mark Ruschin, Arjun Sahgal, Ali Sadeghi-Naini:
A Brain Tumor Segmentation Framework Based on Outlier Detection Using One-Class Support Vector Machine. 1067-1070 - Alexandru-Catalin Filip, Tiago Azevedo, Luca Passamonti, Nicola Toschi, Pietro Liò:
A novel Graph Attention Network Architecture for modeling multimodal brain connectivity. 1071-1074 - Parnian Afshar, Konstantinos N. Plataniotis, Arash Mohammadi:
BoostCaps: A Boosted Capsule Network for Brain Tumor Classification. 1075-1079 - Ryota Matsubara, Andrew Bivard, Mark Parsons, Naotaka Sakashita:
Automatic whole brain vascular territory mapping. 1080-1083 - Qiuyue Dong, Ying Han, Jiehui Jiang:
Different glucose metabolic brain networks between Subjective Cognitive Decline and Health Control based on graph theory. 1084-1087 - Wei Chang, Ching-Chun Hsiao, Yen-Yin Lin, Li-An Chu, A. Lee Swindlehurst, Shi-Wei Chu, Ann-Shyn Chiang, Shun-Chi Wu:
Drosophila Brain Functional Data Analysis: A Unified Framework. 1088-1091 - Eneko Uruñuela, Stephen Jones, Anna J. Crawford, Wanyong Shin, Sehong Oh, Mark J. Lowe, César Caballero-Gaudes:
Stability-Based Sparse Paradigm Free Mapping Algorithm for Deconvolution of Functional MRI Data. 1092-1095 - Changchang Ding, Ying Han, Jiehui Jiang:
Exploring the relevance between brain glucose metabolism and functional connectivity in Chinese cognitive dysfunctions' subjects using integrated resting-state PET/MRI images. 1096-1099 - Celia M. Dong, Audrey S. Guo, Anthea To, Kannie W. Y. Chan, Aviva S. F. Chow, Liming Bian, Alex T. L. Leong, Ed X. Wu:
Early Detection of Amyloid β Pathology in Alzheimer's Disease by Molecular MRI*. 1100-1103 - Fan Yang, Yuxia Li, Ying Han, Jiehui Jiang:
Use of multilayer network modularity and spatiotemporal network switching rate to explore changes of functional brain networks in Alzheimer's disease. 1104-1107 - Hui Zhang, Zixiang Wei, Jiaqi Zhou, Jie Tian:
Reconstructing the Perceived Faces from Brain Signals without Large Number of Training Samples. 1108-1111 - Thomas J. Richner, Bryan T. Klassen, Kai J. Miller:
An in-plane, mirror-symmetric visualization tool for deep brain stimulation electrodes. 1112-1115 - Behnaz Jarrahi, Spyros S. Kollias:
Effects of Visceral Interoception on Topological Properties of the Brain - A Graph Theory Analysis of Resting state fMRI. 1116-1119 - Tiago Azevedo, Luca Passamonti, Pietro Liò, Nicola Toschi:
A deep spatiotemporal graph learning architecture for brain connectivity analysis. 1120-1123 - Gongbo Liang, Xiaoqin Wang, Yu Zhang, Nathan Jacobs:
Weakly-Supervised Self-Training for Breast Cancer Localization*. 1124-1127 - Sarath Chandra K, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet:
A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms. 1128-1131 - Gerson Africano, Otso Arponen, Antti Sassi, Irina Rinta-Kiikka, Anna-Leena Lääperi, Said Pertuz:
A New Benchmark and Method for the Evaluation of Chest Wall Detection in Digital Mammography*. 1132-1135 - Gerson Africano, Otso Arponen, Antti Sassi, Mirva Karivaara-Mäkelä, Kirsi Holli-Helenius, Irina Rinta-Kiikka, Anna-Leena Lääperi, Said Pertuz:
A Comparison of Regions of Interest in Parenchymal Analysis for Breast Cancer Risk Assessment. 1136-1139 - Timothy Cogan, Lakshman Tamil:
Deep Understanding of Breast Density Classification. 1140-1143 - Pascal Yamlome, Akwasi Darkwa Akwaboah, Aylin Marz, Makarand Deo:
Convolutional Neural Network Based Breast Cancer Histopathology Image Classification. 1144-1147 - Mercy Nyamewaa Asiedu, Erica Skerrett, Guillermo Sapiro, Nirmala Ramanujam:
Combining multiple contrasts for improving machine learning-based classification of cervical cancers with a low-cost point-of-care Pocket colposcope. 1148-1151 - Marco Bologna, Valentina D. A. Corino, Chiara Tenconi, Nadia Facchinetti, Giuseppina Calareso, Nicola Iacovelli, Anna Cavallo, Salvatore Alfieri, Stefano Cavalieri, Carlo Fallai, Riccardo Valdagni, Tiziana Rancati, Annalisa Trama, Lisa Licitra, Ester Orlandi, Luca T. Mainardi:
Methodology and technology for the development of a prognostic MRI-based radiomic model for the outcome of head and neck cancer patients. 1152-1155 - Kihwan Choi, Seong Ji Choi, Eun Sun Kim:
Computer-Aided Diagonosis for Colorectal Cancer using Deep Learning with Visual Explanations. 1156-1159 - Zhengdong Zhang, Shuai Li, Ziyang Wang, Yun Lu:
A Novel and Efficient Tumor Detection Framework for Pancreatic Cancer via CT Images. 1160-1164 - Olivia Alge, Lu Lu, Zhi Li, Yingqi Hua, Jonathan Gryak, Kayvan Najarian:
Automated Classification of Osteosarcoma and Benign Tumors using RNA-seq and Plain X-ray. 1165-1168 - Francesca Manni, Roger Fonollá, Fons van der Sommen, Svitlana Zinger, Caifeng Shan, Esther Kho, Susan G. Brouwer de Koning, Theo Ruers, Peter H. N. de With:
Hyperspectral imaging for colon cancer classification in surgical specimens: towards optical biopsy during image-guided surgery. 1169-1173 - Ahmed Ahmed, Deepa Krishnaswamy, Kumaradevan Punithakumar, Michelle Noga:
Validation of Diffeomorphic Registration on Cine Cardiac MR via Direct Frame-to-Frame Comparison with HARP Tracking on Tagged MR. 1174-1177 - Marta Varela, Sandro F. Queirós, Mustafa Anjari, Teresa Correia, Andrew P. King, Anil A. Bharath, Jack Lee:
Strain maps of the left atrium imaged with a novel high-resolution CINE MRI protocol. 1178-1181 - Hansuk Kim, Hana Sheitt, Fatemehsadat Jamalidinan, Stephen B. Wilton, James White, Julio Garcia:
Left Ventricular Flow Analysis in Atrial Fibrillation. 1182-1185 - Shuang Chen, Yang Tang, Xiaotong Shi, Honggang Zhang, Lihua Xie, Bo Xu:
Convolution Pyramid Network: A Classification Network on Coronary Artery Angiogram Images. 1186-1189 - Raphaël Royer-Rivard, Fantin Girard, Nagib Dahdah, Farida Cheriet:
End-to-End Deep Learning Model for Cardiac Cycle Synchronization from Multi-View Angiographic Sequences. 1190-1193 - Genki Nagamatsu, Ewa Magdalena Nowara, Amruta Pai, Ashok Veeraraghavan, Hiroshi Kawasaki:
PPG3D: Does 3D head tracking improve camera-based PPG estimation? 1194-1197 - Fatmatülzehra Uslu, Marta Varela, Anil A. Bharath:
A Semi-Automatic Method To Segment The Left Atrium in MR Volumes With Varying Slice Numbers. 1198-1202 - Catharine V. Graves, Ramon Alfredo Moreno, Marina S. Rebelo, Cesar H. Nomura, Marco A. Gutierrez:
Improving the generalization of deep learning methods to segment the left ventricle in short axis MR images. 1203-1206 - Jiang Li, Huai Chen, Fang Zhu, Chen Wen, Huiwen Chen, Lisheng Wang:
Automatic Pulmonary Vein and Left Atrium Segmentation for TAPVC Preoperative Evaluation Using V-Net with Grouped Attention. 1207-1210 - Yu Lu, Xianghua Fu, Xiaoqing Li, Yingjian Qi:
Cardiac Chamber Segmentation Using Deep Learning on Magnetic Resonance Images from Patients Before and After Atrial Septal Occlusion Surgery. 1211-1216 - S. M. Kamrul Hasan, Cristian A. Linte:
L-CO-Net: Learned Condensation-Optimization Network for Segmentation and Clinical Parameter Estimation from Cardiac Cine MRI. 1217-1220 - Renato F. Pereira, Marina S. Rebelo, Ramon Alfredo Moreno, Anderson G. Marco, Daniel Mario de Lima, Marcelo A. F. Arruda, José Eduardo Krieger, Marco A. Gutierrez:
Fully Automated Quantification of Cardiac Indices from Cine MRI Using a Combination of Convolution Neural Networks. 1221-1224 - Arka Mitra, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet:
A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs. 1225-1228 - Purinat Thammarach, Suntara Khaengthanyakan, Sethavudh Vongsurakrai, Phongphan Phienphanich, Pakinee Pooprasert, Akarachai Yaemsuk, Podsirin Vanichvarodom, Namtip Munpolsri, Sirihattaya Khwayotha, Meyhininat Lertkowit, Sutarat Tungsagunwattana, Chomphunut Vijitsanguan, Saijai Lertrojanapunya, Weeraya Noisiri, Isara Chiawiriyabunya, Narong Aphikulvanich, Charturong Tantibundhit:
AI Chest 4 All. 1229-1233 - Arunava Chakravarty, Tandra Sarkar, Nirmalya Ghosh, Ramanathan Sethuraman, Debdoot Sheet:
Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening. 1234-1237 - José Raniery Ferreira, Diego Armando Cardona Cárdenas, Ramon Alfredo Moreno, Marina de Sá Rebelo, José Eduardo Krieger, Marco Antonio Gutierrez:
Multi-View Ensemble Convolutional Neural Network to Improve Classification of Pneumonia in Low Contrast Chest X-Ray Images. 1238-1241 - Mohammad E. Yahyatabar, Philippe Jouvet, Farida Cheriet:
Dense-Unet: a light model for lung fields segmentation in Chest X-Ray images. 1242-1245 - Ronaldo D. S. Portela, José Raimundo Gomes Pereira, Marly Guimarães Fernandes Costa, Cicero Ferreira Fernandes Costa Filho:
Lung Region Segmentation in Chest X-Ray Images using Deep Convolutional Neural Networks. 1246-1249 - Hadi Moghadas-Dastjerdi, Hira R. Sha-E.-Tallat, Lakshmanan Sannachi, Laurentius O. Osapoeta, Ali Sadeghi-Naini, Gregory J. Czarnota:
Machine Learning-Based A Priori Chemotherapy Response Prediction in Breast Cancer Patients using Textural CT Biomarkers*. 1250-1253 - Bowen Qiu, Jacob Furst, Alexander Rasin, Roselyne Tchoua, Daniela Raicu:
Learning Latent Spiculated Features for Lung Nodule Characterization. 1254-1257 - Khadijeh Saednia, Ali Jalalifar, Shahin Ebrahimi, Ali Sadeghi-Naini:
An Attention-Guided Deep Neural Network for Annotating Abnormalities in Chest X-ray Images: Visualization of Network Decision Basis*. 1258-1261 - Noriyasu Homma, Xiaoyong Zhang, Amber Qureshi, Takuya Konno, Yusuke Kawasumi, Akihito Usui, Masato Funayama, Ivo Bukovsky, Kei Ichiji, Norihiro Sugita, Makoto Yoshizawa:
A Deep Learning Aided Drowning Diagnosis for Forensic Investigations using Post-Mortem Lung CT Images. 1262-1265 - John McManigle, Raquel Bartz, Lawrence Carin:
Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of Annotations. 1266-1269 - Serge Brosset, Maxime Dumont, Jonas Bianchi, Antonio C. Ruellas, Lucia H. S. Cevidanes, Marilia Yatabe, João Roberto Gonçalves, Erika Benavides, Fabiana Soki, Beatriz Paniagua, Juan Prieto, Kayvan Najarian, Jonathan Gryak, Reza Soroushmehr:
3D Auto-Segmentation of Mandibular Condyles. 1270-1273 - Adam Huang, Wen-Hsiang Cheng, Chung-Wei Lee, Chung-Yi Yang, Hon-Man Liu:
Multiphase Computed Tomographic Angiography with Bone Subtraction Using 3D Multichannel Convolution Neural Networks*. 1274-1277 - Jumpei Nitta, Megumi Nakao, Keiho Imanishi, Tetsuya Matsuda:
Deep Learning Based Lung Region Segmentation with Data Preprocessing by Generative Adversarial Nets. 1278-1281 - Rukhmini Roy, Suparna Mazumdar, Ananda S. Chowdhury:
MDL-IWS: Multi-view Deep Learning with Iterative Watershed for Pulmonary Fissure Segmentation. 1282-1285 - Dheo A. Y. Cahyo, Damon Wing Kee Wong, Ai Ping Yow, Seang Mei Saw, Leopold Schmetterer:
Volumetric Choroidal Segmentation Using Sequential Deep Learning Approach in High Myopia Subjects. 1286-1289 - Hoon Ko, Heewon Chung, Hooseok Lee, Jinseok Lee:
Feasible Study on Intracranial Hemorrhage Detection and Classification using a CNN-LSTM Network. 1290-1293 - Incheol Kim, Dharitri Misra, Laritza Rodriguez, Michael Gill, Denise K. Liberton, Konstantinia Almpani, Janice S. Lee, Sameer K. Antani:
Malocclusion Classification on 3D Cone-Beam CT Craniofacial Images Using Multi-Channel Deep Learning Models*. 1294-1298 - Sepideh Hatamikia, Ander Biguri, Gernot Kronreif, Tom Russ, Joachim Kettenbach, Wolfgang Birkfellner:
Short Scan Source-detector Trajectories for Target-based CBCT. 1299-1302 - Kihwan Choi, Sungwon Kim:
Statistical Image Restoration for Low-Dose CT using Convolutional Neural Networks*. 1303-1306 - Shoulie Xie, Weimin Huang, Tao Yang, Dajun Wu, Huiying Liu:
Compressed Sensing based Image Reconstruction with Projection Recovery for Limited Angle Cone-Beam CT Imaging. 1307-1310 - Huiying Liu, Tao Yang, Weimin Huang, Shoulie Xie, Dajun Wu:
NMAR3: Normalized Metal Artifact Reduction for Cone Beam Computed Tomography. 1311-1314 - Yijie Ku, Wenhai Weng, Zhong Chen, Huanqin Zheng, Chuang Xu, Hui Ding, Lei Li, Guangzhi Wang:
Locate the Superficial Femoral Artery with Occlusion by Deep Neural Network Correcting Interpolation. 1315-1318 - Qi Mai, Justin W. L. Wan:
Metal Artifacts Reduction in CT Scans using Convolutional Neural Network with Ground Truth Elimination. 1319-1322 - Majid Jaberipour, Arjun Sahgal, Hany Soliman, Ali Sadeghi-Naini:
Predicting Local Failure after Stereotactic Radiation Therapy in Brain Metastasis using Quantitative CT and Machine Learning*. 1323-1326 - Malinda Vania, Deukhee Lee:
Lumbar Vertebrae Synthetic Segmentation in Computed Tomography Images Using Hybrid Deep Generative Adversarial Networks. 1327-1330 - Rakshith Sathish, Rachana Sathish, Ramanathan Sethuraman, Debdoot Sheet:
Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss. 1331-1334 - Abdarahmane Traoré, Abdoulaye O. Ly, Moulay A. Akhloufi:
Evaluating Deep Learning Algorithms in Pulmonary Nodule Detection*. 1335-1338 - Valentina Giannini, Arianna Defeudis, Samanta Rosati, Giovanni Cappello, Simone Mazzetti, Jovana Panic, Daniele Regge, Gabriella Balestra:
An innovative radiomics approach to predict response to chemotherapy of liver metastases based on CT images. 1339-1342 - Azael de Melo e Sousa, César Castelo-Fernández, Daniel Osaku, Ericson Bagatin, Fabiano Reis, Alexandre X. Falcão:
An Approach for Asbestos-related Pleural Plaque Detection. 1343-1346 - Hong Zhang, Jingyang Zhang, Wei Wu, Hongzhi Xie, Lixu Gu:
Deformable Registration of Coronary Arteries with Topological Constraints for Image-Guided Vascular Interventions. 1347-1350 - Deepa Krishnaswamy, Michelle Noga, Kumaradevan Punithakumar:
Validation of a diffeomorphic registration algorithm using true deformation computed from thin plate spline interpolation. 1351-1354 - Zhenyu Zhu, Yiqin Cao, Chenchen Qin, Yi Rao, Dong Ni, Yi Wang:
Unsupervised 3D End-to-end Deformable Network for Brain MRI Registration. 1355-1359 - Yuntong Tian, Yan Hu, Yuhui Ma, Huaying Hao, Lei Mou, Jianlong Yang, Yitian Zhao, Jiang Liu:
Multi-scale U-net with Edge Guidance for Multimodal Retinal Image Deformable Registration. 1360-1363 - Aziliz Guezou-Philippe, Guillaume Dardenne, Asma Salhi, Valérie Burdin, Christian Lefevre, Eric Stindel:
Statistical Shape Modeling to Determine the Anterior Pelvic Plane for Total Hip Arthroplasty. 1364-1367 - Ruxue Hu, Hongkai Wang, Tapani Ristaniemi, Wentao Zhu, Xiaobang Sun:
Lung CT Image Registration through Landmark-constrained Learning with Convolutional Neural Network. 1368-1371 - Xiaowei Xu, Runping Hou, Wangyuan Zhao, Haohua Teng, Jianqi Sun, Jun Zhao:
A Weak Supervision-based Framework for Automatic Lung Cancer Classification on Whole Slide Image. 1372-1375 - Krati Gupta, Daksh Thapar, Arnav Bhavsar, Anil Kumar Sao:
Effectiveness of GAN-based Synthetic Samples Generation of Minority Patterns in HEp-2 Cell Images*. 1376-1379 - Avinash Lokhande, Saikiran Bonthu, Nitin Singhal:
Carcino-Net: A Deep Learning Framework for Automated Gleason Grading of Prostate Biopsies. 1380-1383 - Shuai Li, Haolei Shi, Dong Sui, Aimin Hao, Hong Qin:
A Novel Pathological Images and Genomic Data Fusion Framework for Breast Cancer Survival Prediction. 1384-1387 - Naoki Kobayashi, Hiroyuki Suzuki, Masahiro Ishikawa, Takashi Obi, Takaya Ichimura, Hiroto Yanagisawa, Tetsuya Tsuchida, Atsushi Sasaki:
Telepathology Support System with Gross Specimen Image Using High Resolution 4K Multispectral Camera. 1388-1381 - Satoshi Yamami, Keita Sugimoto, Masanobu Takahashi, Masayuki Nakano:
Recursive Additive Complement Networks for Cell Membrane Segmentation in Histological Images. 1392-1395 - Sanket Deshmukh, Avinash Lokhande, Ratul Wasnik, Nitin Singhal:
Vacuole Segmentation and Quantification in Liver Images of Wistar Rat. 1396-1399 - Milad Sikaroudi, Amir Safarpoor, Benyamin Ghojogh, Sobhan Shafiei, Mark Crowley, Hamid R. Tizhoosh:
Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study. 1400-1403 - Ali J. Abidalkareem, Moaed A. Abd, Ali K. Ibrahim, Hanqi Zhuang, Ali Salem Altaher, Ali Muhamed Ali:
Diabetic Retinopathy (DR) Severity Level Classification Using Multimodel Convolutional Neural Networks. 1404-1407 - Sue Ann Mah, Recep Avci, Peng Du, Jean-Marie Vanderwinden, Leo K. Cheng:
Supervised Machine Learning Segmentation and Quantification of Gastric Pacemaker Cells. 1408-1411 - S. Lakshmi, Kotra Venkata Sai Ritwik, Deepu Vijayasenan, David S. Sumam, Saraswathy Sreeram, Pooja K. Suresh:
Deep Learning Model based Ki-67 Index estimation with Automatically Labelled Data. 1412-1415 - Manit Zaveri, Shivam Kalra, Morteza Babaie, Sultaan Shah, Savvas Damaskinos, Hany Kashani, Hamid R. Tizhoosh:
Recognizing Magnification Levels in Microscopic Snapshots. 1416-1419 - Alexander Wurts, Derek H. Oakley, Bradley T. Hyman, Siddharth Samsi:
Segmentation of Tau Stained Alzheimers Brain Tissue Using Convolutional Neural Networks. 1420-1423 - Ji Ye Chun, Mohammad S. Eslampanah Sendi, Jing Sui, Dongmei Zhi, Vince D. Calhoun:
Visualizing Functional Network Connectivity Difference between Healthy Control and Major Depressive Disorder Using an Explainable Machine-learning Method. 1424-1427 - Hemaxi Narotamo, J. Miguel Sanches, Margarida Silveira:
Combining Deep Learning with Handcrafted Features for Cell Nuclei Segmentation *. 1428-1431 - Hemaxi Narotamo, Maria Sofia Fernandes, J. Miguel Sanches, Margarida Silveira:
Interphase Cell Cycle Staging using Deep Learning *. 1432-1435 - Zahra Aghababaie, Kevin Jamart, Chih-Hsiang Alexander Chan, Satya Amirapu, Leo K. Cheng, Niranchan Paskaranandavadivel, Recep Avci, Timothy R. Angeli:
A V-Net Based Deep Learning Model for Segmentation and Classification of Histological Images of Gastric Ablation. 1436-1439 - Mariano Fernández-Corazza, Sergei Turovets, Carlos H. Muravchik:
A novel bounded EIT protocol to generate inhomogeneous skull conductivity maps non-invasively. 1440-1443 - Tzu-Jen Kao, Bruce C. Amm, Jeffrey Ashe, David M. Davenport:
Pulmonary Ventilation and Pulsatile Perfusion Imaging on Premature Neonates using Simultaneous Multi-Source EIT. 1444-1447 - Ahmed AbdelWahab, Omid Rajabi Shishvan, Gary J. Saulnier:
Performance of an Adaptive Current Source for EIT Driving Loads through a Shielded Coaxial Cable. 1448-1451 - Omid Rajabi Shishvan, Ahmed AbdelWahab, Gary J. Saulnier:
Measuring Current Source Output Impedance in EIT Systems while Attached to a Load. 1452-1456 - Symon Stowe, Andy Adler:
The Effect of Internal Electrodes on Electrical Impedance Tomography Sensitivity. 1457-1460 - Mark Campbell, Malitela Mapani, Symon Stowe, Jeffrey W. Dawson, Andy Adler:
Using Electrical Impedance Tomography in an Experimental Model of Weighted Restraint. 1461-1464 - Ruo-Jing Ho, Fan Lam:
High-Resolution 3D Spin-Echo MRSI Using Interleaved Water Navigators, Sparse Sampling and Subspace-Based Processing. 1465-1468 - Madhav Venkateswaran, Krishna N. Kurpad, James E. Brown, Sean B. Fain, Daniel van der Weide:
Wireless Power Harvesting During MRI. 1469-1472 - Chenhao Sun, Courtney Bauer, Joseph Busher, Mary P. McDougall, Steven M. Wright:
Investigation of Low-Cost Op-Amps as Decoupling Preamplifiers for MRI Array Coils. 1473-1476 - Zhuo Zhang, Dajiang He, Ying Song, Zhihan Yan, Xue Wang, Jinbo Shao, Zujun Hou:
Exploring the Inter-voxel Information in Pharmacokinetic Maps for Cervical Carcinoma Prediction. 1477-1480 - Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mehmet Akçakaya:
High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks. 1481-1484 - Haifeng Wang, Fang Cai, Caiyun Shi, Jing Cheng, Shi Su, Zhilang Qiu, Guoxi Xie, Hanwei Chen, Xin Liu, Dong Liang:
Positive Contrast Susceptibility MR Imaging Using GPU-based Primal-Dual Algorithm. 1485-1488 - Stefano Moia, Rachael C. Stickland, Apoorva Ayyagari, Maite Termenon, César Caballero-Gaudes, Molly G. Bright:
Voxelwise optimization of hemodynamic lags to improve regional CVR estimates in breath-hold fMRI. 1489-1492 - Elaheh Zendehrouh, Mohammad S. Eslampanah Sendi, Jing Sui, Zening Fu, Dongmei Zhi, Luxian Lv, Xiaohong Ma, Qing Ke, Xianbin Li, Chuanyue Wang, Christopher C. Abbott, Jessica A. Turner, Robyn L. Miller, Vince D. Calhoun:
Aberrant Functional Network Connectivity Transition Probability in Major Depressive Disorder. 1493-1496 - Paris A. Karakasis, Athanasios P. Liavas, Nicholas D. Sidiropoulos, Panagiotis G. Simos, Efrosyni Papadaki:
Multi-subject Task-related fMRI Data Analysis via Generalized Canonical Correlation Analysis *. 1497-1502 - Yunlong Xie, Banghua Yang, Xi Lu, Minmin Zheng, Cunxiu Fan, Xiaoying Bi, Shu Zhou, Yingjie Li:
Anxiety and Depression Diagnosis Method Based on Brain Networks and Convolutional Neural Networks. 1503-1506 - Jiahao Wang, Mengying Wei, Li Zhang, Gan Huang, Zhen Liang, Linling Li, Zhiguo Zhang:
An Autoencoder-based Approach to Predict Subjective Pain Perception from High-density Evoked EEG Potentials. 1507-1511 - Alessandra Anzolin, Kylie Isenburg, Arvina Grahl, Jlenia Toppi, Meryem Yücel, Dan Mikael Ellingsen, Jessica Gerber, Angela Ciaramidaro, Laura Astolfi, Ted J. Kaptchuk, Vitaly Napadow:
Patient-Clinician Brain Response During Clinical Encounter and Pain Treatment. 1512-1515 - Wenshan Wu, Yuhao Lu, Ravikiran Mane, Cuntai Guan:
Deep Learning for Neuroimaging Segmentation with a Novel Data Augmentation Strategy. 1516-1519 - Archana Machireddy, Nicholas Meermeier, Fergus Coakley, Xubo Song:
Malignancy Detection in Prostate Multi-Parametric MR Images Using U-net with Attention. 1520-1523 - Rachneet Kaur, Hamid Gholamhosseini, Roopak Sinha:
Deep Convolutional Neural Network for Melanoma Detection using Dermoscopy Images. 1524-1527 - Janaína Ricci Viana, Dioclecio Campos, Leandra Ulbricht, Gilson Yukio Sato, Wagner L. Ripka:
Thermography for the detection of Secondary Raynaud's Phenomenon by means of the Distal-Dorsal Distance. 1528-1531 - Noémie Moreau, Caroline Rousseau, Constance Fourcade, Gianmarco Santini, Ludovic Ferrer, Marie Lacombe, Camille Guillerminet, Mario Campone, Mathilde Colombié, Mathieu Rubeaux, Nicolas Normand:
Deep learning approaches for bone and bone lesion segmentation on 18FDG PET/CT imaging in the context of metastatic breast cancer*. 1532-1535 - Constance Fourcade, Ludovic Ferrer, Gianmarco Santini, Noémie Moreau, Caroline Rousseau, Marie Lacombe, Camille Guillerminet, Mathilde Colombié, Mario Campone, Diana Mateus, Mathieu Rubeaux:
Combining Superpixels and Deep Learning Approaches to Segment Active Organs in Metastatic Breast Cancer PET Images*. 1536-1539 - Ee Ping Ong, Jun Cheng, Damon Wing Kee Wong, Elton L. T. Tay, Hwei Yee Teo, Rosalyn Grace Loo, Leonard W. L. Yip:
Automatic Glaucoma Detection from Stereo Fundus Images. 1540-1543 - Zhe Zhang, Shiwei Ye, Pan Liao, Yan Liu, Guiping Su, Yi Sun:
Enhanced Capsule Network for Medical image classification. 1544-1547 - Erika Hata, Chanjin Seo, Masafumi Nakayama, Kiyotaka Iwasaki, Takaaki Ohkawauchi, Jun Ohya:
Classification of Aortic Stenosis Using ECG by Deep Learning and its Analysis Using Grad-CAM. 1548-1551 - Ran Zhang, Huichuan Duan, Jiezhi Cheng, Yuanjie Zheng:
A Study on Tuberculosis Classification in Chest X-ray Using Deep Residual Attention Networks*. 1552-1555 - Qi Chang, Rebecca Bascom, Jennifer Toth, Danish Ahmad, William E. Higgins:
Autofluorescence Bronchoscopy Video Analysis for Lesion Frame Detection*. 1556-1559 - Hongyang Jiang, Jie Xu, Rongjie Shi, Kang Yang, Dongdong Zhang, Mengdi Gao, He Ma, Wei Qian:
A Multi-Label Deep Learning Model with Interpretable Grad-CAM for Diabetic Retinopathy Classification. 1560-1563 - Tianming Du, Yanci Zhang, Xiaotong Shi, Shuang Chen:
Multiple Slice k-space Deep Learning for Magnetic Resonance Imaging Reconstruction. 1564-1567 - Giovanna Maria Dimitri, Simeon E. Spasov, Andrea Duggento, Luca Passamonti, Pietro Lio', Nicola Toschi:
Unsupervised stratification in neuroimaging through deep latent embeddings. 1568-1571 - Yiying Wang, Tao Yang, Weimin Huang:
Limited-Angle Computed Tomography Reconstruction using Combined FDK-Based Neural Network and U-Net. 1572-1575 - Panagiota I. Tsompou, Ioannis O. Andrikos, Georgia S. Karanasiou, Antonis I. Sakellarios, Nikolaos Tsigkas, Vassiliki I. Kigka, Savvas K. Kyriakidis, Lampros K. Michalis, Dimitrios I. Fotiadis:
Validation study of a novel method for the 3D reconstruction of coronary bifurcations. 1576-1579 - Li Wang, Wen S. Hou, Xiao Y. Wu, Lin Chen:
3D MR image denoising using a modified adaptive high order singular value decomposition method*. 1580-1583 - Sriprabha Ramanarayanan, Balamurali Murugesan, Ananth Kalyanasundaram, Surya Prabhakaran, Keerthi Ram, Shantanu Patil, Mohanasankar Sivaprakasam:
MRI Super-Resolution using Laplacian Pyramid Convolutional Neural Networks with Isotropic Undecimated Wavelet Loss. 1584-1587 - Mustafa Haiderbhai, Sergio Ledesma, Nassir Navab, Pascal Fallavollita:
Generating X-ray Images from Point Clouds Using Conditional Generative Adversarial Networks. 1588-1591 - Zhuotong Cai, Jingmin Xin, Jiayi Wu, Sijie Liu, Weiliang Zuo, Nanning Zheng:
Triple Multi-scale Adversarial Learning with Self-attention and Quality Loss for Unpaired Fundus Fluorescein Angiography Synthesis. 1592-1595 - Ross Zhi Jian Choong, Seth Austin Harding, Bo-yen Tang, Shih-wei Liao:
3-To-1 Pipeline: Restructuring Transfer Learning Pipelines for Medical Imaging Classification via Optimized GAN Synthetic Images. 1596-1599 - Leevi Annala, Noora Neittaanmäki, John Paoli, Oscar Zaar, Ilkka Pölönen:
Generating Hyperspectral Skin Cancer Imagery using Generative Adversarial Neural Network. 1600-1603 - Ian Coghill, Richard A. Black, Iain A. T. Livingstone, Mario E. Giardini:
Low-Cost Eye Phantom for Stereophotogrammetry-Based Optic Nerve Head Topographical 3D Imaging. 1604-1607 - Fei Tong, Megumi Nakao, Shuqiong Wu, Mitsuhiro Nakamura, Tetsuya Matsuda:
X-ray2Shape: Reconstruction of 3D Liver Shape from a Single 2D Projection Image. 1608-1611 - Xiaotong Shi, Tianming Du, Shuang Chen, Honggang Zhang, Changdong Guan, Bo Xu:
UENet: A Novel Generative Adversarial Network for Angiography Image Segmentation. 1612-1615 - Jingyi Wang, Xu Zhao, Qingtian Ning, Dahong Qian:
AEC-Net: Attention and Edge Constraint Network for Medical Image Segmentation. 1616-1619 - Ziyuan Zhao, Xiaoyan Yang, Bharadwaj Veeravalli, Zeng Zeng:
Deeply Supervised Active Learning for Finger Bones Segmentation. 1620-1623 - Samira Masoudi, Syed Muhammad Anwar, Stephanie A. Harmon, Peter L. Choyke, Baris Turkbey, Ulas Bagci:
Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation. 1624-1628 - Ruikun Li, Huai Chen, Guanzhong Gong, Lisheng Wang:
Bladder Wall Segmentation in MRI Images via Deep Learning and Anatomical Constraints. 1629-1632 - Xihe Kuang, Jason Pui Yin Cheung, Honghan Wu, Socrates Dokos, Teng Zhang:
MRI-SegFlow: a novel unsupervised deep learning pipeline enabling accurate vertebral segmentation of MRI images. 1633-1636 - Pingjun Chen, Jinzheng Cai, Lin Yang:
Chromosome Segmentation via Data Simulation and Shape Learning. 1637-1640 - Xiaoqian Mao, Yitian Zhao, Bang Chen, Yuhui Ma, Zaiwang Gu, Shenshen Gu, Jianlong Yang, Jun Cheng, Jiang Liu:
Deep Learning with Skip Connection Attention for Choroid Layer Segmentation in OCT Images. 1641-1645 - Guiping Cao, Wei Zhao, Risa Higashita, Jiang Liu, Wan Chen, Jin Yuan, Yubing Zhang, Ming Yang:
An Efficient Lens Structures Segmentation Method on AS-OCT Images. 1646-1649 - Menghua Xia, Wenjun Yan, Yi Huang, Yi Guo, Guohui Zhou, Yuanyuan Wang:
Extracting Membrane Borders in IVUS Images Using a Multi-Scale Feature Aggregated U-Net. 1650-1653 - Ee Ping Ong, Christina Tang Ka Yin, Beng Hai Lee:
Efficient Deep Learning-based Wound-bed Segmentation For Mobile Applications. 1654-1657 - Aparna Kanakatte, Akshaya Ramaswamy, Jayavardhana Gubbi, Avik Ghose, Balamuralidhar Purushothaman:
Surgical tool segmentation and localization using spatio-temporal deep network. 1658-1661 - Bo Zhao, Kawin Setsompop, David H. Salat, Lawrence L. Wald:
Further Development of Subspace Imaging to Magnetic Resonance Fingerprinting: A Low-rank Tensor Approach. 1662-1666 - Pierre Fontaine, Francois-Georges Riet, Joël Castelli, Khemara Gnep, Adrien Depeursinge, Renaud de Crevoisier, Oscar Acosta:
Comparison of feature selection in radiomics for the prediction of overall survival after radiotherapy for hepatocellular carcinoma. 1667-1670 - Bruno De Santi, Massimo Salvi, Valentina Giannini, Kristen M. Meiburger, Francesco Marzola, Filippo Russo, Martino Bosco, Filippo Molinari:
Comparison of Histogram-based Textural Features between Cancerous and Normal Prostatic Tissue in Multiparametric Magnetic Resonance Images. 1671-1674 - Jovana Panic, Arianna Defeudis, Simone Mazzetti, Samanta Rosati, Giuliana Giannetto, Lorenzo Vassallo, Daniele Regge, Gabriella Balestra, Valentina Giannini:
A Convolutional Neural Network based system for Colorectal cancer segmentation on MRI images. 1675-1678 - Xiaopeng Si, Xingjian Zhang, Yu Zhou, Yulin Sun, Weipeng Jin, Shaoya Yin, Xin Zhao, Qiang Li, Dong Ming:
Automated Detection of Juvenile Myoclonic Epilepsy using CNN based Transfer Learning in Diffusion MRI. 1679-1682 - Zhongqiang Luo, Qunfang Long, Suchita Bhinge, Mohammad A. B. S. Akhonda, Tülay Adali:
Identification of Subgroup Differences Using IVA: Application to fMRI Data Fusion. 1683-1686 - Isaías I. Huerta, Andrea Vázquez, Narciso López-López, Josselin Houenou, Cyril Poupon, Jean-François Mangin, Pamela Guevara, Cecilia Hernández:
Inter-Subject Clustering of Brain Fibers from Whole-Brain Tractography. 1687-1691 - Hon Wah Yeung, Saturnino Luz, Simon R. Cox, Colin R. Buchanan, Heather C. Whalley, Keith M. Smith:
Pipeline comparisons of convolutional neural networks for structural connectomes: predicting sex across 3, 152 participants. 1692-1695 - Narciso López-López, Andrea Vázquez, Cyril Poupon, Jean-François Mangin, Susana Ladra, Pamela Guevara:
GeoSP: A parallel method for a cortical surface parcellation based on geodesic distance. 1696-1700 - Abdelrahman Zayed, Yasser Iturria-Medina, Arno Villringer, Bernhard Sehm, Christopher John Steele:
Rapid Quantification of White Matter Disconnection in the Human Brain. 1701-1704 - Francesco Di Ciò, Francesco Garaci, Silvia Minosse, Luca Passamonti, Alessio Martucci, Simona Lanzafame, Francesca Di Giuliano, Eliseo Picchi, Raffaele Mancino, Maria Guerrisi, Carlo Nucci, Roberto Floris, Nicola Toschi:
Disruption of structural brain networks in Primary Open Angle Glaucoma. 1705-1708 - Ranjeet Ranjan Jha, Aditya Nigam, Arnav Bhavsar, Sudhir K. Pathak, Walter Schneider, Rathish Kumar:
Multi-Shell D-MRI Reconstruction via Residual Learning utilizing Encoder-Decoder Network with Attention (MSR-Net). 1709-1713 - Tahereh Kamali, Katharine A. Hagerman, John W. Day, Jacinda Sampson, Kelvin O. Lim, Bryon A. Mueller, Jeffrey R. Wozniak:
Diagnosis of Myotonic Dystrophy Based on Resting State fMRI Using Convolutional Neural Networks. 1714-1717 - Emma Tassi, Eleonora Maggioni, Sergio Cerutti, Paolo Brambilla, Anna Maria Bianchi:
A novel spatiotemporal tool for the automatic classification of fMRI noise based on Independent Component Analysis. 1718-1721 - Behnaz Jarrahi, Spyros S. Kollias:
Impact of Intravesical Cold Sensation on Functional Network Connectivity Estimated Using ICA at Rest & During Interoceptive Task. 1722-1725 - Silvia Minosse, Eliseo Picchi, Francesca Di Giuliano, Simona Lanzafame, Guglielmo Manenti, Chiara Adriana Pistolese, Loredana Sarmati, Elisabetta Teti, Massimo Andreoni, Roberto Floris, Maria Guerrisi, Francesco Garaci, Nicola Toschi:
Disruption of brain network organization in patients with human immunodeficiency virus (HIV) infection. 1726-1729 - Silvia Minosse, Francesco Garaci, Federica Martino, Roberta Di Mauro, Milena Melis, Francesca Di Giuliano, Eliseo Picchi, Roberto Floris, Maria Guerrisi, Stefano Di Girolamo, Nicola Toschi:
Global and local reorganization of brain network connectivity in sudden sensorineural hearing loss. 1730-1733 - Qianqian Ye, Zongfeng Zhang, Qing Fan, Yao Li:
Altered Intramodular Functional Connectivity in Drug Naïve Obsessive-Compulsive Disorder Patients. 1734-1737 - Wenli Li, Qiong Xiang, Dengtang Liu, Yao Li:
Disrupted Coupling Between NAA and Functional Connectivity in Ventromedial Prefrontal Cortex of Drug-Naïve First-Episode Psychosis. 1738-1741 - Mengjiao Hu, Kang Sim, Juan Helen Zhou, Xudong Jiang, Cuntai Guan:
Brain MRI-based 3D Convolutional Neural Networks for Classification of Schizophrenia and Controls. 1742-1745 - Zhe Sun, Carlos Parra, Ji Won Bang, Els Fieremans, Gadi Wollstein, Joel S. Schuman, Kevin C. Chan:
Diffusion Kurtosis Imaging Reveals Optic Tract Damage That Correlates with Clinical Severity in Glaucoma. 1746-1749 - Ahmed Elazab, Changmiao Wang, Syed Jamal Safdar Gardezi, Hongmin Bai, Tianfu Wang, Baiying Lei, Chunqi Chang:
Glioma Growth Prediction via Generative Adversarial Learning from Multi-Time Points Magnetic Resonance Images. 1750-1753 - PengZheng Zhou, Li Liang, Xutao Guo, Haiyan Lv, Tong Wang, Ting Ma:
U-net combined with CRF and anatomical based spatial features to segment white matter hyperintensities. 1754-1757 - Marek Wodzinski, Tommaso Banzato, Manfredo Atzori, Vincent Andrearczyk, Yashin Dicente Cid, Henning Müller:
Training Deep Neural Networks for Small and Highly Heterogeneous MRI Datasets for Cancer Grading. 1758-1761 - Yue Wu, Taoran Li, Ying Han, Jiehui Jiang:
Use of radiomic features and support vector machine to discriminate subjective cognitive decline and healthy controls *. 1762-1765 - Yan Liu, Xuejun Gu:
Evaluation and comparison of global-feature-based and local-feature-based segmentation algorithms in intracranial visual pathway delineation. 1766-1769 - Kuaikuai Duan, Vince D. Calhoun, Jingyu Liu, Rogers F. Silva:
aNy-way Independent Component Analysis. 1770-1774 - Chunhua Liu, Guan-Quan Chen, Ying Han, Jiehui Jiang:
Do cognitive reserve levels affect brain glucose metabolism and amyloid-β depositions in subjective cognitive decline subjects? 1775-1778 - Sachira Kuruppu, Leo K. Cheng, Timothy R. Angeli, Recep Avci, Niranchan Paskaranandavadivel:
High-Resolution Mapping of Intestinal Spike Bursts and Motility. 1779-1782 - Silvia Orlandi, Fanny Hotze, Derrick Lim, Sofía González Estrada, Destinée Muir, Hilary A. Friesen, Tom Chau:
Customized Access Technology for Children using Head Movement Recognition*. 1783-1786 - Daniela M. Godinho, João M. Felício, Carlos A. C. Fernandes, Raquel C. Conceição:
Study of the Refraction Effects in Microwave Breast Imaging Using a Dry Setup*. 1787-1790 - Dayton Miranda, Parya Jafari, Sergio C. H. Dempsey, Abbas Samani:
4D-CT Hyper-Elastography Using a Biomechanical Model. 1791-1794 - Sebastian Ley, Bernd Faenger, Ingrid Hilger, Marko Helbig:
MNP Enhanced Microwave Imaging by Means of Pseudo-Noise Sensing with Different External Magnetic Field Modulations. 1795-1798 - Mayur J. Bhamborae, Philipp Flotho, Adrian Mai, Elena N. Schneider, Alexander L. Francis, Daniel J. Strauss:
Towards Contactless Estimation of Electrodermal Activity Correlates. 1799-1802 - Diana I. Escalona-Vargas, Hari Eswaran:
Adaptable Sensor Arrays for Fetal Magnetocardiographic Measurements Using Optically-Pumped Magnetometers: A Pilot Study. 1803-1806 - Simona Di Meo, Lorenzo Pasotti, Elena Lashkevich, Giovanni Magenes, Marco Pasian, Giulia Matrone:
Combining Millimeter-Wave Imaging, Ultrasound and Elastography in a New Multimodal Approach for Breast Cancer Detection: Initial Experimental Results. 1807-1810 - Kazuya Nishimura, Ryoma Bise:
Spatial-Temporal Mitosis Detection in Phase-Contrast Microscopy via Likelihood Map Estimation by 3DCNN. 1811-1815 - Chinthalanka B. Wijesinghe, Dilshan N. Wickramarachchi, Iyani N. Kalupahana, Lokesha R. De Seram, Indira D. Silva, Nuwan D. Nanayakkara:
Fully Automated Detection and Classification of White Blood Cells. 1816-1819 - Slo-Li Chu, Kuniya Abe, Hideo Yokota, Kazuhiro Sudo, Yukio Nakamura, Yuan-Hsiang Chang, Liang-Che Fang, Ming-Dar Tsai:
Prediction for Morphology and States of Stem Cell Colonies using a LSTM Network with Progressive Training Microscopy Images. 1820-1823 - Marek Wodzinski, Miroslawa Pajak, Andrzej Skalski, Alexander Witkowski, Giovanni Pellacani, Joanna Ludzik:
Automatic Quality Assessment of Reflectance Confocal Microscopy Mosaics using Attention-Based Deep Neural Network. 1824-1827 - Baturay Ozgurun, Müjdat Çetin:
Compressed Sensing Structured Illumination Microscopy. 1828-1831 - Ai Ping Yow, Bingyao Tan, Jacqueline Chua, Tin Aung, Rahat Husain, Leopold Schmetterer, Damon Wing Kee Wong:
Automated circumpapillary retinal nerve fiber layer segmentation in high-resolution swept-source OCT. 1832-1835 - Mohamad Feshki, Mohamad Sadegh Monfared, Benoit Gosselin:
Development of a Dual-Wavelength Isosbestic Wireless Fiber Photometry Platform for Live Animals Studies. 1836-1839 - Paula A. Teixeira, Paulino A. Sousa, Miguel T. Coimbra:
Computer Vision Challenges for Chronic Wounds Assessment. 1840-1843 - Mami Kawasaki, Kazuya Nakano, Takashi Ohnishi, Masashi Sekine, Eizo Watanabe, Shigeto Oda, Taka-aki Nakada, Hideaki Haneishi:
Investigation into Effect of Thrombomodulin Alfa for Septic Model Rats based on Microcirculation Image Analysis. 1844-1847 - Aji Resindra Widya, Yusuke Monno, Masatoshi Okutomi, Sho Suzuki, Takuji Gotoda, Kenji Miki:
Stomach 3D Reconstruction Based on Virtual Chromoendoscopic Image Generation. 1848-1852 - Sima Sobhiyeh, Nathan Borel, Marcelline Dechenaud, Clinten A. Graham, Michael C. Wong, Peter R. Wolenski, John Shepherd, Steven B. Heymsfield:
Fully Automated Pipeline for Body Composition Estimation from 3D Optical Scans using Principal Component Analysis: A Shape Up Study. 1853-1858 - Viktor Tóth, Naveen Jayaprakash, Adam Abbas, Ariba Khan, Stavros Zanos, Theodoros P. Zanos:
Single-axon level automatic segmentation and feature extraction from immuhistochemical images of peripheral nerves. 1859-1862 - Khaled Alsaih, Mohd Zuki Yusoff, Tong Boon Tang, Ibrahima Faye, Fabrice Mériaudeau:
Performance Evaluation Of Convolutions And Atrous Convolutions In Deep Networks For Retinal Disease Segmentation On Optical Coherence Tomography Volumes. 1863-1866 - Ruchir Srivastava, Ee Ping Ong, Beng Hai Lee:
Role of the Choroid in Automated Age-related Macular Degeneration Detection from Optical Coherence Tomography Images. 1867-1870 - Lambros S. Athanasiou, Christopher D. Brushett, Kohei Watanabe, Daisuke Yamada, Emily C. Chernich, Sarika Verma, Tokuyuki Honda:
Intracoronary near infrared autofluorescence signal calibration. 1871-1874 - Damon Wing Kee Wong, Ai Ping Yow, Bingyao Tan, Xinwen Yao, Jacqueline Chua, Leopold Schmetterer:
Localization of Anatomical Features in Vascular-enhanced Enface OCT Images. 1875-1878 - Shengting Cao, Xinwen Yao, Nischal Koirala, Brigitta C. Brott, Silvio H. Litovsky, Yuye Ling, Yu Gan:
Super-resolution technology to simultaneously improve optical & digital resolution of optical coherence tomography via deep learning. 1879-1882 - Bingyao Tan, Damon Wing Kee Wong, Ai Ping Yow, Xinwen Yao, Leopold Schmetterer:
Three-dimensional choroidal vessel network quantification using swept source optical coherence tomography. 1883-1886 - Duc Hoa Tran, Michel Meunier, Farida Cheriet:
OrgaNet: A Robust Network for Subcellular Organelles Classification in Fluorescence Microscopy Images. 1887-1890 - Qiang Wang, James R. Hopgood, Neil Finlayson, Gareth O. S. Williams, Susan Fernandes, Elvira Williams, Ahsan R. Akram, Kevin Dhaliwal, Marta Vallejo:
Deep Learning in ex-vivo Lung Cancer Discrimination using Fluorescence Lifetime Endomicroscopic Images. 1891-1894 - Yongjian Yu, Jue Wang:
Detection of Filamentous Microorganisms in Fluorescence Microscopy Images. 1895-1898 - Lars Haab, Philipp Flotho, David Eckert, Karsten Schwerdtfeger, Matthias Hulser, Daniel J. Strauss, Michael Möller:
Time-Multiplexed Illumination for simultaneous Structural and Functional Voltage Sensitive Dye Recordings with a single Photo Sensor. 1899-1902 - Mikaela Kalline M. Serrão, Marly Guimarães Fernandes Costa, Luciana Botinelly Mendonça Fujimoto, Maurício M. Ogusku, Cicero Ferreira Fernandes Costa Filho:
Automatic Bacillus Detection in Light Field Microscopy Images Using Convolutional Neural Networks and Mosaic Imaging Approach. 1903-1906 - Rafat Damseh, Patrick Delafontaine-Martel, Paul James-Marchand, Parikshat Sirpal, Farida Cheriet, Frederic Lesage:
Automated Analysis of Brain Microvasculature: From Segmentation to Anatomical Modeling. 1907-1910 - Yiyun Wang, Hongtao Zhong, Daohuai Jiang, Hengrong Lan, Juze Zhang, Ma Yaxin, Feng Gao, Fei Gao:
Frequency-domain Dual-contrast Photoacoustic Imaging with Chirp Modulation. 1911-1914 - Juze Zhang, Hengrong Lan, Yaxin Ma, Yiyun Wang, Feng Gao, Fei Gao:
Photoacoustic-guided Transcranial HIFU with Combined Time-reversal and Genetic Algorithm. 1915-1918 - Yaxin Ma, Changchun Yang, Juze Zhang, Yiyun Wang, Feng Gao, Fei Gao:
Human Breast Numerical Model Generation Based on Deep Learning for Photoacoustic Imaging. 1919-1922 - Dakun Lai, Liang Mao, Qi Xu, Jun Li:
A Novel Reconstruction Method with Time Reversal Algorithm and Evaluations for Photoacoustic Tomography. 1923-1926 - Hiroki Hattori, Takeshi Namita, Kengo Kondo, Makoto Yamakawa, Tsuyoshi Shiina:
Study for quantitative evaluation of photoaging with photoacoustic microscopy. 1927-1930 - Luis Hermoza, Javier de la Cruz, Elsa Fernández, Benjamín Castañeda:
Development of a Semaphore of Anemia: Screening Method Based on Photographic Images of the Ungueal Bed Using a Digital Camera. 1931-1935 - Adriana Martínez, Dinh Hoan Trinh, Jonathan El Beze, Jacques Hubert, Pascal Eschwege, Vincent Estrade, Lina Aguilar, Christian Daul, Gilberto Ochoa:
Towards an automated classification method for ureteroscopic kidney stone images using ensemble learning. 1936-1939 - José Reisinho, Miguel Tavares Coimbra, Francesco Renna:
Deep Convolutional Neural Network Ensembles For Multi-Classification of Skin Lesions From Dermoscopic and Clinical Images. 1940-1943 - Liming Hu, Matthew P. Horning, Dipayan Banik, Olusegun Kayode Ajenifuja, Clement Akinfolarin Adepiti, Karen Yeates, Zac Mtema, Ben Wilson, Courosh Mehanian:
Deep learning-based image evaluation for cervical precancer screening with a smartphone targeting low resource settings - Engineering approach. 1944-1949 - Umaer Hanif, Rasmus R. Paulsen, Eileen B. Leary, Emmanuel Mignot, Poul Jennum, Helge B. D. Sørensen:
Prediction of Patient Demographics using 3D Craniofacial Scans and Multi-view CNNs. 1950-1953 - Peisheng Qian, Ziyuan Zhao, Haobing Liu, Yingcai Wang, Yu Peng, Sheng Hu, Jing Zhang, Yue Deng, Zeng Zeng:
Multi-Target Deep Learning for Algal Detection and Classification. 1954-1957 - Han Li, YiKuang Wang, Cheng Wan, Jianxin Shen, ZhiQiang Chen, Hui Ye, Qiuli Yu:
MAU-Net: A Retinal Vessels Segmentation Method. 1958-1961 - Steffen Moll, Stefan Gambach, Henning Schütz, Raphael Steinhoff, Hans Kaim, Albrecht Rothermel:
System design of a physiological ambient illumination adaptation for subretinal stimulator. 1962-1965 - Mohamed Chetoui, Moulay A. Akhloufi:
Explainable Diabetic Retinopathy using EfficientNET*. 1966-1969 - Sanketh S. Moudgalya, Nathan D. Cahill, David A. Borkholder:
Deep Volumetric Segmentation of Murine Cochlear Compartments from Micro-Computed Tomography Images. 1970-1975 - Pujin Cheng, Junyan Lyu, Yijin Huang, Xiaoying Tang:
Probability distribution guided optic disc and cup segmentation from fundus images. 1976-1979 - Sangeeta Biswas, Johan Rohdin, Martin Drahanský:
Interretinal Symmetry in Color Fundus Photographs. 1980-1983 - Zhihao Fan, Tingting Dan, Honghua Yu, Baoyi Liu, Hongmin Cai:
Single Fundus Image Super-Resolution Via Cascaded Channel-Wise Attention Network. 1984-1987 - Jeremy Benson, Trilce Estrada, Mark R. Burge, Peter Soliz:
Diabetic Peripheral Neuropathy Risk Assessment using Digital Fundus Photographs and Machine Learning. 1988-1991 - Cam-Hao Hua, Thien Huynh-The, Sungyoung Lee:
DRAN: Densely Reversed Attention based Convolutional Network for Diabetic Retinopathy Detection. 1992-1995 - Piyarat Kingkosol, Pakinee Pooprasert, Pitipol Choopong, Boonsiri Hunchangsith, Varittha Laksanaphuk, Charturong Tantibundhit:
Automated Cytomegalovirus Retinitis Screening in Fundus Images. 1996-2002 - Justin Gerolami, Victoria Wu, Paolo Nasute Fauerbach, Doris Jabs, Cecil Jay Engel, John F. Rudan, Shaila Merchant, Ross Walker, Emran Mohammad Abu Anas, Purang Abolmaesumi, Gabor Fichtinger, Tamas Ungi, Parvin Mousavi:
An End-to-End Solution for Automatic Contouring of Tumor Region in Intraoperative Images of Breast Lumpectomy. 2003-2006 - Md Ashikuzzaman, Hassan Rivaz:
Incorporating Multiple Observations in global Ultrasound Elastography. 2007-2010 - Batoul Dahman, Jean-Louis Dillenseger:
Deformable US/CT Image Registration with a Convolutional Neural Network for Cardiac Arrhythmia Therapy. 2011-2014 - Ryan G. L. Koh, Michael Behr, Margaret Kirkwood, Dinesh Kumbhare:
Effect of Neighbourhood Size in Entropy Mapping of Ultrasound Images. 2015-2018 - Alyaa Amer, Xujiong Ye, Massoud Zolgharni, Faraz Janan:
ResDUnet: Residual Dilated UNet for Left Ventricle Segmentation from Echocardiographic Images. 2019-2022 - Robert M. Pohlman, Tomy Varghese:
Adaptation of Dictionary Learning for Electrode Displacement Elastography*. 2023-2026 - Abdelrahman Zayed, Guy Cloutier, Hassan Rivaz:
Automatic Frame Selection using CNN in Ultrasound Elastography. 2027-2030 - Rashid Al Mukaddim, Tomy Varghese:
Improving Ultrasound Lateral Strain Estimation Accuracy using Log Compression of Regularized Correlation Function. 2031-2034 - Sobhan Goudarzi, Amir Asif, Hassan Rivaz:
High Frequency Ultrasound Image Recovery Using Tight Frame Generative Adversarial Networks. 2035-2038 - Sunetra Banerjee, Sai-Ho Ling, Juan Lyu, Steven W. Su, Yong-Ping Zheng:
Automatic Segmentation of 3D Ultrasound Spine Curvature Using Convolutional Neural Network. 2039-2042 - Mingjie Jiang, John David Spence, Bernard Chiu:
Segmentation of 3D ultrasound carotid vessel wall using U-Net and segmentation average network. 2043-2046 - Haixia Wu, Ruturaj Gole, Subho Ghosh, Anup Basu:
Alternative Techniques for Breast Tumour Detection using Ultrasound. 2047-2050 - Niusha Kheirkhah, Sergio C. H. Dempsey, Hassan Rivaz, Abbas Samani, Ali Sadeghi-Naini:
A Tissue Mechanics Based Method to Improve Tissue Displacement Estimation in Ultrasound Elastography*. 2051-2054 - Niusha Kheirkhah, Ali Sadeghi-Naini, Abbas Samani:
Analytical Estimation of Out-of-plane Strain in Ultrasound Elastography to Improve Axial and Lateral Displacement Fields*. 2055-2058 - Ali Kafaei Zad Tehrani, Mina Amiri, Iván Rosado-Méndez, Timothy J. Hall, Hassan Rivaz:
A Pilot Study on Scatterer Density Classification of Ultrasound Images Using Deep Neural Networks. 2059-2062 - Mina Amiri, Ali Kafaei Zad Tehrani, Hassan Rivaz:
Segmentation of Ultrasound Images based on Scatterer Density using U-Net. 2063-2066 - Md Ashikuzzaman, Hassan Rivaz:
Denoising RF Data via Robust Principal Component Analysis: Results in Ultrasound Elastography. 2067-2070 - Morteza Mirzaei, Amir Asif, Hassan Rivaz:
Synthetic aperture with high lateral sampling frequency for ultrasound elastography. 2071-2074 - Ali Kafaei Zad Tehrani, Mina Amiri, Hassan Rivaz:
Real-time and High Quality Ultrasound Elastography Using Convolutional Neural Network by Incorporating Analytic Signal. 2075-2078 - Hoda S. Hashemi, Mohammad Honarvar, Tim Salcudean, Robert Rohling:
3D Global Time-Delay Estimation for Shear-Wave Absolute Vibro-Elastography of the Placenta. 2079-2083 - Norma Hermawan, Mizuki Fujiwara, Yoshihiro Hagiwara, Yoshifumi Saijo:
Visualization of Shoulder Ligaments Motion by Ultrasound Speckle Tracking Method*. 2084-2087 - Nirvedh H. Meshram, Daren Jackson, Carol C. Mitchell, Stephanie M. Wilbrand, Robert J. Dempsey, Bruce P. Hermann, Tomy Varghese:
Study of the Relationship Between Ultrasound Strain Indices and Cognitive Decline for Vulnerable Carotid Plaque. 2088-2091 - Micha Feigin, Manuel Zwecker, Daniel Freedman, Brian W. Anthony:
Detecting muscle activation using ultrasound speed of sound inversion with deep learning. 2092-2095 - Edgar García Cano, Fernando Arámbula Cosío, Fabian Torres Robles, Zian Fanti, Christian Bellefleur, Julie Joncas, Hubert Labelle, Luc Duong:
A freehand ultrasound framework for spine assessment in 3D: a preliminary study. 2096-2100 - Songhan Ge, Hongye Zeng, Rui Zheng:
Automatic Measurement of Spinous Process Angles on Ultrasound Spine Images. 2101-2104 - Hongbo Chen, Rui Zheng, Edmond Lou, Lawrence H. Le:
Compact and Wireless Freehand 3D Ultrasound Real-time Spine Imaging System: A pilot study. 2105-2108 - Praful Mathur, Karan Kakwani, Diplav, Srinivas Kudavelly, G. A. Ramaraju:
Deep Learning based Quantification of Ovary and Follicles using 3D Transvaginal Ultrasound in Assisted Reproduction. 2109-2112 - Francesco Marzola, Nens van Alfen, Massimo Salvi, Bruno De Santi, Jonne Doorduin, Kristen M. Meiburger:
Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks. 2113-2116 - Bahareh Behboodi, Maryse Fortin, Clyde J. Belasso, Rupert Brooks, Hassan Rivaz:
Receptive Field Size as a Key Design Parameter for Ultrasound Image Segmentation with U-Net. 2117-2120 - Katherine Brown, Kenneth Hoyt:
Simultaneous Evalulation of Contrast Pulse Sequences for Super-Resolution Ultrasound Imaging - Preliminary In Vitro and In Vivo Results. 2121-2124 - Abhijeet Dhupia, J. R. Harish Kumar, Jasbon Andrade, K. V. Rajagopal:
Automatic Segmentation of Lumen Intima Layer in Longitudinal Mode Ultrasound Images. 2125-2128 - Shiyu Mi, Zhanghong Wei, Jinfeng Xu, Zijun Yu, Wenming Yang, Qingmin Liao:
Detecting Carotid Intima-Media From Small-Sample Ultrasound Images. 2129-2132 - Nitin Singhal, Srinivas Kudavelly, G. A. Ramaraju:
Deep Learning Based Junctional Zone Quantification using 3D Transvaginal Ultrasound in Assisted Reproduction. 2133-2136 - Brandon Rebholz, Mohamed Almekkawy:
Efficacy Of Kriging Interpolation In Ultrasound Imaging; Subsample Displacement Estimation. 2137-2141 - Skanda Bharadwaj, Mohamed Almekkawy:
Faster Search Algorithm for Speckle Tracking in Ultrasound Images. 2142-2146 - Raphaël Weber, Antoine Simon, Fabienne Porée, Guy Carrault:
Deep transfer learning for video-based detection of newborn presence in incubator. 2147-2150 - Mehdy Dousty, José Zariffa:
Towards Clustering Hand Grasps of Individuals with Spinal Cord Injury in Egocentric Video. 2151-2154 - Hao Xiong, Shlomo Berkovsky, Roneel V. Sharan, Sidong Liu, Enrico W. Coiera:
Robust Vision-Based Workout Analysis Using Diversified Deep Latent Variable Model. 2155-2158 - Andrea Bandini, Mehdy Dousty, José Zariffa:
A wearable vision-based system for detecting hand-object interactions in individuals with cervical spinal cord injury: First results in the home environment. 2159-2162 - Soumaya Msaad, Geoffroy Cormier, Guy Carrault:
Detecting falls and estimation of daily habits with depth images using machine learning algorithms. 2163-2166 - Yang Yang Wang, Ali S. Hamad, Teresa E. Lever, Filiz Bunyak:
Orthogonal Region Selection Network for Laryngeal Closure Detection in Laryngoscopy Videos. 2167-2172 - Handenur Caliskan, Amanda S. Mahoney, James L. Coyle, Ervin Sejdic:
Automated Bolus Detection in Videofluoroscopic Images of Swallowing Using Mask-RCNN. 2173-2177 - Chiranjib Bhowmick, Pranab Kumar Dutta, Manjunatha Mahadevappa:
Wavelet Transform and Texton based Analysis for Detection of Benign and Malignant Masses. 2178-2181 - Kudaibergen Urinbayev, Yerassyl Orazbek, Yernur Nurambek, Almas Mirzakhmetov, Huseyin Atakan Varol:
End-to-End Deep Diagnosis of X-ray Images. 2182-2185 - Abdullah Irfan, Akash L. Adivishnu, Antonio Sze-To, Taher Dehkharghanian, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Classifying Pneumonia among Chest X-Rays Using Transfer Learning. 2186-2189 - Nattawut Sinsuebphon, Udomchai Techavipoo, Kitti Koonsanit, Sakunrat Prompalit, Saowapak Thongvigitmanee:
Adaptive Multi-Scale Image Enhancement for Digital Radiography. 2190-2193 - Jiaxiang Ren, Heng Fan, Jie Yang, Haibin Ling:
Detection of Trabecular Landmarks for Osteoporosis Prescreening in Dental Panoramic Radiographs. 2194-2197 - Zugui Peng, Shoichiro Kanno, Kenta Shimba, Yoshitaka Miyamoto, Tohru Yagi:
Preparation of Size-controlled Giant Vesicles Under Physiological Conditions. 2198-2201 - Khalil Moussi, Mincho Kavaldzhiev, Jose E. Perez, Nouf Alsharif, Jasmeen Merzaban, Jürgen Kosel:
3D Printed Microneedle Array for Electroporation. 2202-2205 - Daniela Ayala-Barajas, Virginia González-Vélez, Marisela Vélez-Tirado, Julia Aguilar-Pliego:
Hydroxyapatite extraction from fish scales of Tilapia. 2206-2208 - James Ferguson, Jesse Duran, Wesley Killinen, Jason Wagner, Caroline Kulesza, Christie Chatterley, Yiyan Li:
A Field-Deployable and Low-Cost PCR (FLC-PCR) Thermocycler for the Rapid Detection of Environmental E. coli. 2209-2212 - Aotuo Dong, Md. Shariful Islam, Sacharia Albin, Makarand Deo:
Accurate Estimation of Refractive Indices of Organic Microparticles in Dual-Beam Optical Trap. 2213-2216 - James M. Porter, Lea Guerassimoff, F. Rafael Castiello, Maryam Tabrizian:
Synthesis and Screening of Novel Peptides on Human Pancreatic Islets for Type 1 Diabetes Therapies*. 2217-2220 - Esra Sengul, Osman Kara, Yagmur Yildizhan, Rodrigo Martinez-Duarte, Meltem Elitas:
Single Cell Level Dielectrophoretic Responses & Dielectrophoretic Deformations of Monocytes to Quantify Population Heterogeneity. 2221-2226 - SungHyun Cho, HyungSeok Choi, JungEun Yang, SeungBeum Suh:
Variable Tumor Microenvironment-on-a-chip with Temporal Angiogenic Switching System by Diffusion Control*. 2227-2230 - Yang Yang, Meihang He, Ke Jin, Xuejiao Chen, Xuexin Duan:
Continuous Enrichment and Separation of Nanoparticles via Acoustic Streaming. 2231-2234 - Paolo Marracino, Laura Caramazza, Micaela Liberti, Francesca Apollonio:
Electroporation Mechanisms: The Role of Lipid Orientation in the Kinetics of Pore Formation*. 2235-2238 - Khalil Moussi, Dina B. Abusamra, Omar Yassine, Jasmeen Merzaban, Jürgen Kosel:
Strain-induced Differentiation of Mesenchymal Stem Cells. 2239-2244 - Si Li, E. Scott Graham, Charles P. Unsworth:
Nanosecond Laser Stimulation in an Organized Grid Network of Human Astrocytes. 2245-2248 - Stanley D. E. Kushigbor, Zili Tang, Levent Yobas:
Railing Nanoparticles Along Activated Tracks Towards Continuous-Flow Electrokinetic Enrichment from Blood Plasma*. 2249-2252 - Si Li, E. Scott Graham, Charles P. Unsworth:
The Effect of Basic Microshapes on hNT Astrocytes Cytoplasmic Process Outgrowth. 2253-2256 - Nils Stanislawski, Fabian Cholewa, Henrik Heymann, Xenia Kraus, Sebastian Heene, Martin Witt, Stefanie Thoms, Cornelia Blume, Holger Blume:
Automated Bioreactor System for the Cultivation of Autologous Tissue-Engineered Vascular Grafts. 2257-2261 - Stephen A. Creamer, Emily J. Lam Po Tang, Poul M. F. Nielsen, Andrew J. Taberner:
A miniature mechanical testing device for testing hydrogel-based biomaterials in a confocal microscope. 2262-2265 - Daniel C. Ajuzie, Seyed A. Arshad, Komal S. Rasaputra, Elebeoba E. May:
A Method for Deciphering Major Drivers of Bacterial Iron Stress Response in the Presence of Oxidative Stressors. 2266-2269 - Eleonora Ficiarà, Federico D'Agata, Sardar Ansari, Silvia Boschi, Innocenzo Rainero, Lorenzo Priano, Stefania Cattaldo, Ornella Abollino, Roberta Cavalli, Caterina Guiot:
A mathematical model for the evaluation of iron transport across the blood-cerebrospinal fluid barrier in neurodegenerative diseases. 2270-2273 - Jeffrey B. Webb, Aaron Bray, Rachel B. Clipp:
Parameterization of Respiratory Physiology and Pathophysiology for Real-Time Simulation. 2274-2278 - Baran Serajelahi, Sanjay Kharche, Daniel Goldman:
Steady-State Tissue Oxygen Distributions Calculated by a Green's Function Method and a Finite Difference Method: A Comparison*. 2279-2282 - Nichal Gentilal, Pedro Cavaleiro Miranda:
The impact of the uncertainty of biological tissue thermal parameters on the estimated maximum temperature during TTFields treatment. 2283-2286 - Jiaan Zhu, Jian Loong Lim Jethro, Bowen Li, Adam Mergenthal, Adnan A. Rayes, Hejun Tang, Theodore W. Berger, Jean-Marie C. Bouteiller:
A Computational Model of Mitochondria Motility in Axons. 2287-2290 - Sharique Ali Asghar, Poulomi Pal, Kashif Nazeer, Manjunatha Mahadevappa:
A Computational Study of Graphene as a Prospective Material for Microelectrodes in Retinal Prosthesis and Electric Crosstalk Analysis. 2291-2294 - Seda Aslan, Paige Mass, Yue-Hin Loke, Linnea Warburton, Xiaolong Liu, Narutoshi Hibino, Laura Olivieri, Axel Krieger:
Non-invasive Prediction of Peak Systolic Pressure Drop across Coarctation of Aorta using Computational Fluid Dynamics. 2295-2298 - Daniel F. Puleri, Sayan Roychowdhury, Jeff Ames, Amanda Randles:
Computational Framework to Evaluate the Hydrodynamics of Cell Scaffold Geometries. 2299-2302 - Chiara Celotto, Carlos Sánchez, Konstantinos A. Mountris, Pablo Laguna, Esther Pueyo:
SK Channel Block and Adrenergic Stimulation Counteract Acetylcholine-Induced Arrhythmogenic Effects in Human Atria. 2303-2306 - Norbert Herencsar, Aslihan Kartci, Oguzhan Cicekoglu:
Accurate Empirical Fractional-Order Electrical Models of Young and Old Dentines. 2307-2310 - Joseph L. Palladino:
Modeling Mouse Soleus Muscle Contraction. 2311-2314 - Jermiah J. Joseph, Christopher W. McIntyre, Sanjay R. Kharche:
Proarrhythmic Effects of Electrolyte Imbalance in Virtual Human Atrial and Ventricular Cardiomyocytes. 2315-2318 - Xiaolong Liu, Seda Aslan, Rachel Hess, Paige Mass, Laura Olivieri, Yue-Hin Loke, Narutoshi Hibino, Mark D. Fuge, Axel Krieger:
Automatic Shape Optimization of Patient-Specific Tissue Engineered Vascular Grafts for Aortic Coarctation. 2319-2323 - Siwei Bai, Albert Croner, Jörg Encke, Werner Hemmert:
Electrical stimulation in the cochlea: Influence of modiolar microstructures on the activation of auditory nerve fibres. 2324-2327 - Yasushi Horii, Airi Tamaki, Wenjia Hong, Toshiaki Kitamura, K. Wasano:
A Transmission-Line-Based Cochlear Standing Wave Model To Elucidate Mechanism of Human Auditory System. 2328-2331 - Hilda Azimi, Kristin M. Gunnarsdottir, Sridevi V. Sarma, Alyssa A. Gamaldo, Rachel M. E. Salas, Charlene Gamaldo:
Identifying Sleep Biomarkers to Evaluate Cognition in HIV. 2332-2336 - In Seong Yoo, Alexander Preis, Jörg Franke:
Development of a test bench for the urodynamic simulation of the lower urinary tract*. 2337-2341 - Hong-Xing Liu, Yanyan Cheng, Meng Zhang, Qun Nan:
Flow Field Analysis in RF Ablation Based on PIV Experiment. 2342-2345 - Ruixuan Huang, William C. Cho, Yanni Sun, Kei Hang Katie Chan:
The Lung Cancer Associated MicroRNAs and Single Nucleotides Polymorphisms: a Mendelian Randomization Analysis. 2346-2352 - Jieyun Bai, Yijie Zhu, Andy Lo, Yaosheng Lu, Jichao Zhao:
In Silico Assessment of Genetic Variation in PITX2 Reveals the Molecular Mechanisms of Calcium-Mediated Cellular Triggered Activity in Atrial Fibrillation*. 2353-2356 - Alberto Giaretta:
A Minimal Stochastic Model of Transcriptional and Splicing Regulation. 2357-2360 - Mark Lennox, Neil Robertson, Barry Devereux:
Expanding the Vocabulary of a Protein: Application of Subword Algorithms to Protein Sequence Modelling. 2361-2367 - Wuchao Yan, Chenfei Ye, Tong Wang, Junyan Sun, Tao Wu, Ting Ma:
Misfolded protein propagation in an integrated computational model of structural network and LRRK2 gene expression. 2368-2371 - Meghdad Hajimorad, Jeffrey A. Gralnick:
Plasmid copy number variation of a modular vector set in Shewanella oneidensis MR-1. 2372-2375 - Recep Avci, Niranchan Paskaranandavadivel, Chad E. Eichler, Byron Y. C. Lam, Timothy R. Angeli, Leonard A. Bradshaw, Leo K. Cheng:
Computational Reconstruction of 3D Stomach Geometry using Magnetic Field Source Localization. 2376 - Parveen Zainab Fatima Ali, Ebrahim Ghafar-Zadeh:
A Visual Distortion Sensing Model for Early Detection of Macular Disorders. 2380-2383