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ORCID44th EMBC 2022: Glasgow, Scotland, UK
- 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2022, Glasgow, Scotland, United Kingdom, July 11-15, 2022. IEEE 2022, ISBN 978-1-7281-2782-8
- Carina Veil, Omar Makni, Peter Somers, Johannes Schüle, Cristina Tarín, Oliver Sawodny:
Detection Limits of Tetrapolar Impedance Sensors for Tissue Differentiation. 1-4 - Md. Mahbubur Rahman, Xuhai Xu, Viswam Nathan, Tousif Ahmed, Mohsin Yusuf Ahmed, Dan McCaffrey, Jilong Kuang, Trevor Cowell, Julia Moore
, Wendy Berry Mendes, Jun Alex Gao:
Detecting Physiological Responses Using Multimodal Earbud Sensors. 1-5 - Peter L. M. Kerkhof, Rienzi A. Diaz-Navarro, Guy R. Heyndrickx, Aleksandra O. Konradi, Evgeny V. Shlyakhto, Neal Handly, John K.-J. Li:
The Ratio of Diastolic and Systolic Arterial Pressure is Associated with Pulse Pressure. 1-4 - Arunesh Mittal, John Paisley, Paul Sajda:
Deep Metric Representation Learning for Clinical Resting State fMRI. 1-4 - Reem M. Almasri, Amr Al Abed, Dorna Esrafilzadeh, Damia Mawad, Laura A. Poole-Warren, Nigel H. Lovell:
Electromechanical Stability and Transmission Behavior of Transparent Conductive Films for Biomedical Optoelectronic Devices. 5-8 - Carolyn Schwendeman, Ryan Kaveh, Rikky Muller:
Drowsiness Detection with Wireless, User-Generic, Dry Electrode Ear EEG. 9-12 - Ying Zhang, Huaiyu Zhu, Haipeng Liu, Dingchang Zheng, Shaomin Zhang, Yun Pan:
A Wearable Swallowing Recognition System Based on Motion and Dual Photoplethysmography Sensing of Laryngeal Movements. 13-16 - Festus Bett, Sofia Brown, Aotuo Dong, Monique Christian, Sunday Ajala, Kevin Santiago, Sacharia Albin, Aylin Marz, Makarand Deo:
Optical Deformation of Biological Cells using Dual-Beam Laser Tweezer. 17-20 - Andrew Perley, Todd P. Coleman:
A Mutual Information Measure of Phase-Amplitude Coupling using High Dimensional Sparse Models. 21-24 - Shruthi Raghavendra, Hyungi Chun, Sungmin Lee, Fei Chen, Brett A. Martin, Chin-Tuan Tan:
Cross-Frequency Coupling in Cortical Processing of Speech. 25-29 - Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals. 30-35 - Lorenzo Frassineti, Claudia Manfredi, Daniele Ermini, Rachele Fabbri, Benedetta Olmi, Antonio Lanatà:
Analysis of Brain-Heart Interactions in newborns with and without seizures using the Convergent Cross Mapping approach. 36-39 - Iris L. Soare, Javier Escudero:
Evaluation of EEG dynamic connectivity around seizure onset with principal component analysis. 40-43 - Ileana Pirovano, Alfonso Mastropietro, Eleonora Guanziroli, Franco Molteni, Luca Faes, Giovanna Rizzo:
Comparison between directed causal flow metrics for the assessment of resting-state EEG motor network connectivity in subacute stroke patients. 44-47 - Ji Hyeok Jeong, Keun-Tae Kim, Dong-Joo Kim, Song Joo Lee, Hyungmin Kim:
Subject-Transfer Decoding using the Convolutional Neural Network for Motor Imagery-based Brain-Computer Interface. 48-51 - Zaineb Ajra, Binbin Xu, Gérard Dray, Jacky Montmain, Stéphane Perrey:
Mental arithmetic task classification with convolutional neural network based on spectral-temporal features from EEG. 52-55 - Anna Sergeeva, Christian Bech Christensen, Preben Kidmose:
Investigation of the Effect of Spatial Filtering for Detecting Auditory Steady-State Responses Recorded from Ear-EEG. 56-59 - Syu-Siang Wang, Yu Tsao, Wei-Zhong Zheng, Hsiu-Wei Yeh, Pei-Chun Li, Shih-Hau Fang, Ying-Hui Lai:
Dysarthric Speech Enhancement Based on Convolution Neural Network. 60-64 - Qiang Su, Zhenyu Liu, Yongbei Zhu, Jie Tian:
Metabolic-related gene signature model forecasts biochemical relapse in primary prostate cancer. 65-68 - Eugenia Mylona, Konstantina Kourou, Georgios C. Manikis, Haridimos Kondylakis, Kostas Marias, Evangelos Karademas, Paula Poikonen-Saksela, Ketti Mazzocco, Chiara Marzorati, Ruth Pat-Horenczyk, Ilan Roziner, Berta Sousa, Albino J. Oliveira-Maia, Panagiotis G. Simos, Dimitrios I. Fotiadis:
Trajectories and Predictors of Depression After Breast Cancer Diagnosis: A 1-year longitudinal study. 69-72 - Kirill Borziak, Joseph Finkelstein:
Gene Expression Markers of Prognostic Importance for Prostate Cancer Risk in Patients with Benign Prostate Hyperplasia. 73-76 - Orestis D. Papagiannopoulos, Konstantina Kourou, Costas Papaloukas, Dimitrios I. Fotiadis:
Comparison of High-Throughput Technologies in the Classification of Adult-Onset Still's Disease Patients. 77-80 - Marie Denis, Rency S. Varghese, Megan E. Barefoot, Mahlet G. Tadesse, Habtom W. Ressom:
A Bayesian two-step integrative procedure incorporating prior knowledge for the identification of miRNA-mRNAs involved in hepatocellular carcinoma. 81-86 - Venkateshwarlu Yellaswamy Gudur, Sidharth Maheshwari, Swati Bhardwaj, Amit Acharyya, Rishad A. Shafik:
Hardware-Algorithm Codesign for Fast and Energy Efficient Approximate String Matching on FPGA for Computational Biology. 87-90 - Goktug Cihan Ozmen, Christopher J. Nichols, Samer Mabrouk, John A. Berkebile, Lan Lan, Omer T. Inan:
Wearable Mid-Activity Measurement of Lower Limb Electrical Bioimpedance Estimates Vertical Ground Reaction Force Features. 91-94 - Priya Pallavi, Shashi Ranjan, Niravkumar A. Patel, Manasi Kanetkar, Uttama Lahiri:
Smart Wearable Device for Quantification of Risk of Fall: Exploring Role of Gait Phases and Knee Bending Angle for Parkinson's Patients. 95-98 - Christian Tronstad, Oliver Pabst, Maryam Amini, Inge P. Kleggetveit, Ole Elvebakk, Ørjan Grøttem Martinsen, Trond G. Jenssen, Jonny Hisdal, Tore J. Berg, Elisabeth Qvigstad:
Development of a prototype toe sensor for detection of diabetic peripheral small fiber neuropathy. 99-104 - Kamran Naderi Beni, Robin Wolke, Marten J. Finck, Emily Elfrath, Nils G. Margraf, Robert Rieger:
Acquisition and Automated Segmentation of Inertia Sensor Data for Mobile Camptocormia Assessment. 105-108 - Parastoo Alinia, Saman Parvaneh, Seyed-Iman Mirzadeh, Asiful Arefeen, Hassan Ghasemzadeh:
Boosting Lying Posture Classification with Transfer Learning. 109-114 - R. James Cotton, Emoonah McClerklin, Anthony Cimorelli, Ankit Patel, Tasos Karakostas:
Transforming Gait: Video-Based Spatiotemporal Gait Analysis. 115-120 - Taulant Koka, Michael Muma:
Fast and Sample Accurate R-Peak Detection for Noisy ECG Using Visibility Graphs. 121-126 - Alberto Porta, Vlasta Bari, Francesca Gelpi, Beatrice Cairo, Beatrice De Maria, Davide Tonon, Gianluca Rossato, Luca Faes:
Comparing Cross-Sample Entropy and K-Nearest-Neighbor Cross-Predictability Approaches for the Evaluation of Cardiorespiratory and Cerebrovascular Dynamic Interactions. 127-130 - Andrea Scarciglia, Vincenzo Catrambone, Claudio Bonanno, Gaetano Valenza:
Multiscale partition-based Kolmogorov-Sinai Entropy: a preliminary HRV study on Heart Failure vs. Atrial Fibrillation. 131-134 - Arnhold Lohse, Philip von Platen, Carl-Friedrich Benner, Steffen Leonhardt, Marian Walter, Matthias Manfred Deininger, Dmitrij Ziles, Teresa Seemann, Thomas Breuer:
Identification of the Tidal Volume Response to Pulse Amplitudes of Phrenic Nerve Stimulation Using Gaussian Process Regression. 135-138 - Iman Alikhani, Kai Noponen, Mikko Tulppo, Juha Peltonen, Elias Lehtonen, Tapio Seppänen:
Heart Rate Variability and its Association with Second Ventilatory Threshold Estimation in Maximal Exercise Test. 139-142 - Juan Manuel Vargas Garcia, Mohamed A. Bahloul, Taous-Meriem Laleg-Kirati:
A Multiple Linear Regression Model for Carotid-to-Femoral Pulse Wave Velocity Estimation Based on Schrodinger Spectrum Characterization. 143-147 - Matteo Ferrante, Andrea Duggento, Nicola Toschi:
Physically constrained neural networks for inferring physiological system models. 148-151 - Yuta Iinuma, Sou Nobukawa, Haruhiko Nishimura, Tetsuya Takahashi:
Dynamic Characteristics of State Transitions Composed of Neural Activity in the Brain by Circadian Rhythms. 152-157 - Jhunlyn Lorenzo, Stéphane Binczak, Sabir Jacquir:
Synaptic Communication in Diverse Astrocytic Connectivity: A Computational Model. 158-161 - Connor Beck, Anja Kunze, Dominique Zosso:
Archetypal Analysis for neuronal clique detection in low-rate calcium fluorescence imaging. 162-166 - Patrice Abry, Gersende Fort, Barbara Pascal, Nelly Pustelnik:
Temporal evolution of the Covid19 pandemic reproduction number: Estimations from proximal optimization to Monte Carlo sampling. 167-170 - Karim Davari Benam, Hasti Khoshamadi, Laura Lema-Pérez, Sebastien Gros, Anders Lyngvi Fougner:
A Nonlinear State Observer for the Bi-Hormonal Intraperitoneal Artificial Pancreas. 171-176 - Konki Sravan Kumar, Ankhzaya Jamsrandorj, Jinwook Kim, Kyung-Ryoul Mun:
Prediction of lower limb kinematics from vision-based system using deep learning approaches. 177-181 - Zhuoran Wang, Songyu Chen, Mark F. Smith, Xiaofeng Jia:
Effect of Graded Targeted Temperature Management on Cerebral Glucose Spatiotemporal Characteristics after Cardiac Arrest. 182-185 - Marianna Inglese, Andrea Duggento, Tommaso Boccato, Matteo Ferrante, Nicola Toschi:
Spatiotemporal learning of dynamic positron emission tomography data improves diagnostic accuracy in breast cancer. 186-189 - Anam Bhatti, Naoya Kanno, Hayato Ikeda, Takuro Ishii, Yoshifumi Saijo:
Development of an Imaging Framework for Visualization of Cutaneous Micro-Vasculature by using High Frequency Ultrafast Ultrasound Imaging. 190-193 - Sandra Sjöstrand, Marion Bacou, Adrian Thomson, Katarzyna Kaczmarek, Maria Evertsson, Ingrid Svensson, Susan M. Farrington, Susan Moug, Tomas Jansson, Carmel M. Moran, Helen Mulvana:
Contrast enhanced magneto-motive ultrasound in lymph nodes - modelling and pre-clinical imaging using magnetic microbubbles. 194-197 - Xiaoyu Shi, Xinran Zhang, Yutaro Iwamoto, Jingliang Cheng, Jie Bai, Guohua Zhao, Yen-Wei Chen:
An Intra- and Inter-Modality Fusion Model Using MR Images for Prediction of Glioma Isocitrate Dehydrogenase (IDH) Mutation. 198-202 - Sébastien Rimbert, Fabien Lotte:
ERD modulations during motor imageries relate to users' traits and BCI performances. 203-207 - James Teversham, Steven S. Wong, Bryan Hsieh, Adrien Rapeaux, Francesca Troiani, Oscar Savolainen, Zheng Zhang, Michal Maslik, Timothy G. Constandinou:
Development of an Ultra Low-Cost SSVEP-based BCI Device for Real-Time On-Device Decoding. 208-213 - Huijing Xu, Kee Scholten, Wenxuan Jiang, Jessica-Lizbeth Ortigoza-Diaz, Zhouxiao Lu, Xin Liu, Ellis Meng, Dong Song:
Acute in vivo Recording with a Generic Parylene Microelectrode Array Implanted with Dip-coating Method into the Rat Brain. 214-217 - Navid Ayoobi, Elnaz Banan Sadeghian:
A Subject-Independent Brain-Computer Interface Framework Based on Supervised Autoencoder. 218-221 - Arturo Micheli, Davide Consoli, Adrien Merlini, Paolo Ricci, Francesco Paolo Andriulli:
Brain-Computer Interfaces: Investigating the Transition from Visually Evoked to Purely Imagined Steady-State Potentials. 222-225 - Elena Mongiardini, Emma Colamarino, Jlenia Toppi, Valeria de Seta, Floriana Pichiorri, Donatella Mattia, Febo Cincotti:
Low Frequency Brain Oscillations during the execution and imagination of simple hand movements for Brain-Computer Interface applications. 226-229 - Pinyuan Zhong, Ran Cheng, Xiaoying Tang:
Utilizing average symmetrical surface distance in active shape modeling for subcortical surface generation with slow-fast learning. 230-233 - Alejandro Carrasco-Poves, Silvia Ruiz-España, Cláudia Régio Brambilla, Irene Neuner, Ravichandran Rajkumar, Shukti Ramkiran, Christoph W. Lerche, David Moratal:
Analysis of New Biomarkers for the Study of Schizophrenia Following a Radiomics Approach on MR and PET Imaging. 234-237 - Dylan Pollack, Lars A. Gjesteby, Michael Snyder, David Chavez, Lee Kamentsky, Kwanghun Chung, Laura J. Brattain:
Axon Tracing and Centerline Detection using Topologically-Aware 3D U-Nets. 238-242 - Erica Silvestri, Tommaso Volpi, Andrea Bettinelli, Mattia De Francisci, Judson Jones, Maurizio Corbetta, Diego Cecchin, Alessandra Bertoldo:
Image-derived Input Function in brain [18F]FDG PET data: which alternatives to the carotid siphons? 243-246 - Mohammad S. Eslampanah Sendi, Hossein Dini, Luis Emilio Bruni, Vince D. Calhoun:
Default mode network dynamic functional network connectivity predicts psychotic symptom severity. 247-250 - Zening Fu, Mustafa S. Salman, Jingyu Liu, Vince D. Calhoun:
Functional Connectivity Stability: A Signature of Neurocognitive Development and Psychiatric Problems in Children. 251-254 - Davide Manzoni, Vincenzo Catrambone, Gaetano Valenza:
Causal Symbolic Information Transfer for the Assessment of functional Brain-Heart Interplay through EEG Microstates Occurrences: a proof-of-concept study. 255-258 - Shima Abdullateef, Brian Jordan, Valerie Rae, Ailsa McLellan, Javier Escudero, Vera Nenadovic, Tsz-Yan Milly Lo:
Quantitative detection of seizures with minimal-density EEG montage using phase synchrony and cross-channel coherence amplitude in critical care. 259-262 - Luyao Jin, Chuting Zhang, Wenbin Shi, Chien-Hung Yeh:
A Novel Framework in Quantifying Oscillatory Coupling to Gait Disturbance in Parkinson's Disease. 263-266 - Zhian Liu, Lichengxi Si, Tianyu Wang, Gang Wang:
Brain connectivity changes of propofol-induced altered states of consciousness using High-Density EEG Source Estimation. 267-271 - Yanqiao Zhu, Hejie Cui, Lifang He, Lichao Sun, Carl Yang:
Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis. 272-276 - Himanshu Kumar, Nagarajan Ganapathy, Subha D. Puthankattil, Ramakrishnan Swaminathan:
Assessment of emotional states in EEG signals using multi-frequency power spectrum and functional connectivity patterns. 277-283 - Monira Islam, Tan Lee:
MEMD-HHT based Emotion Detection from EEG using 3D CNN. 284-287 - Ali Kavoosi, Robert Toth, Moaad Benjaber, Mayela Zamora, Antonio Valentín, Andrew Sharott, Timothy Denison:
Computationally efficient neural network classifiers for next generation closed loop neuromodulation therapy - a case study in epilepsy. 288-291 - Chao Li, Yong Sheng, Haishuai Wang, Mingyue Niu, Peiguang Jing, Ziping Zhao, Björn W. Schuller:
EEG Emotion Recognition Based on Self-attention Dynamic Graph Neural Networks. 292-296 - Jacopo Lazzari, Riccardo Asnaghi, Letizia Clementi, Marco D. Santambrogio:
Math Skills: a New Look from Functional Data Analysis. 297-300 - Chloe Hinchliffe, Mahinda Yogarajah, Lilian Tang, Daniel Abásolo:
Electroencephalogram Connectivity for the Diagnosis of Psychogenic Non-epileptic Seizures. 301-304 - Dominik Klepl, Fei He, Min Wu, Daniel Blackburn, Ptolemaios G. Sarrigiannis:
Bispectrum-based Cross-frequency Functional Connectivity: Classification of Alzheimer's disease. 305-308 - Yasaman Vaghei, Edward J. Park, Siamak Arzanpour:
Decoding Brain Signals to Classify Gait Direction Anticipation. 309-312 - Lorena Qendro, Cecilia Mascolo:
Towards Adversarial Robustness with Early Exit Ensembles. 313-316 - Maria de los Angeles Gomez, Hacene Serrai, Sourav Bhaduri, Taous-Meriem Laleg-Kirati:
A novel method for Magnetic Resonance Spectroscopy lipid signal suppression using Semi-classical signal analysis and Bidirectional Long short-term memory. 317-320 - Maximiliano Mollura, Cristian Drudi, Li-Wei H. Lehman, Riccardo Barbieri:
A Reinforcement Learning Application for Optimal Fluid and Vasopressor Interventions in Septic ICU Patients. 321-324 - Md Billal Hossain, Hugo F. Posada-Quintero, Ki H. Chon:
A Deep Convolutional Autoencoder for Automatic Motion Artifact Removal in Electrodermal Activity Signals: A Preliminary Study. 325-328 - Daphne N. Katsarou, Eleni I. Georga, Maria Christou, Stelios Tigas, Costas Papaloukas, Dimitrios I. Fotiadis:
Short Term Glucose Prediction in Patients with Type 1 Diabetes Mellitus. 329-332 - Chenguang Li, Hongjun Yang, Long Cheng, Fubiao Huang:
A Time-Series Augmentation Method Based on Empirical Mode Decomposition and Integrated LSTM Neural Network. 333-336 - Ranjeet Ranjan Jha, Abhishek Bhardwaj, Devin Garg, Arnav Bhavsar, Aditya Nigam:
MHATC: Autism Spectrum Disorder Identification Utilizing Multi-Head Attention Encoder Along with Temporal Consolidation Modules. 337-341 - Bret A. See, Joseph T. Francis:
High Classification Accuracy of Touch Locations from S1 LFPs Using CNNs and Fastai. 342-345 - Ratri Mukherjee, Premananda Indic, Colm P. Travers, Namasivayam Ambalavanan, Pravitha Ramanand:
Stochastic Modeling of Inter-Hypoxemia Intervals in Preterm Infants. 346-349 - Kei Shibuya, Masanori Tsujikawa:
Interactive Effects of Productivity and Work Engagement on Mediation Analysis using Chronic Stress as Explanatory variable. 350-354 - Maciej Rosól, Jakub S. Gasior, Iwona Walecka, Bozena Werner, Gerard Cybulski, Marcel Mlynczak:
Causality in cardiorespiratory signals in pediatric cardiac patients. 355-358 - Beatriz F. Giraldo, Nil Ramón i García, Jordi Solà-Soler:
Cardiorespiratory Phase Synchronization in Elderly Patients with Periodic and non-Periodic Breathing Patterns. 359-362 - Charilaos A. Zisou, Georgios K. Apostolidis, Leontios J. Hadjileontiadis:
Investigation of the Evolution of Wavelet Higher-Order Dynamics in Atrial Fibrillation. 363-366 - Maria Ribeiro, Luísa Castro, Guy Carrault, Patrick Pladys, Cristina Costa-Santos, Teresa Henriques:
Evolution of Heart Rate Complexity Indices in the Early Detection of Neonatal Sepsis. 367-372 - Ameer Ghouse, Diego Candia-Rivera, Gaetano Valenza:
Multivariate Pattern Analysis of Entropy estimates in Fast- and Slow-Wave Functional Near Infrared Spectroscopy: A Preliminary Cognitive Stress study. 373-376 - Sam Simmonds, Leo K. Cheng, Wharengaro Ruha, Andrew J. Taberner, Peng Du, Timothy R. Angeli-Gordon:
Anatomically-Specific, 3D-Printed Cradles Enable In Vivo Mapping of the Bioelectrical Activation across the Gastroduodenal Junction. 377-380 - Gekai Liao, Siwen Wang, Zijing Wei, Bohan Liu, Ryu Okubo, Manuel E. Hernandez:
Online classifier of AMICA model to evaluate state anxiety while standing in virtual reality. 381-384 - Søren M. Rasmussen, Jesper Mølgaard, Camilla Haahr-Raunkjær, Christian S. Meyhoff, Eske Kvanner Aasvang, Helge B. D. Sørensen:
Forecasting of Continuous Vital Sign Using Multivariate Auto-Regressive Models. 385-388 - Ismail M. El-Badawy, Zaid Bin Omar, Om Prakash Singh:
Cooperative classification of clean and deformed capnogram segments using a voting approach: A trade-off between specificity and sensitivity. 389-393 - Alexandra-Maria Tautan, Elias P. Casula, Ilaria Borghi, Michele Maiella, Sonia Bonnì, Marilena Minei, Martina Assogna, Bogdan Ionescu, Giacomo Koch, Emiliano Santarnecchi:
Preliminary study on the impact of EEG density on TMS-EEG classification in Alzheimer's disease. 394-397 - Alexandra-Maria Tautan, Elias P. Casula, Ilaria Borghi, Michele Maiella, Sonia Bonnì, Marilena Minei, Martina Assogna, Bogdan Ionescu, Giacomo Koch, Emiliano Santarnecchi:
Characterizing TMS-EEG perturbation indexes using signal energy: initial study on Alzheimer's Disease classification. 398-401 - Vicente Quiles, Laura Ferrero, Eduardo Iáñez, Mario Ortíz, José Maria Azorín:
Riemannian classification analysis for model EEG intention speed patterns. 402-405 - Taylor Sweet, David E. Thompson:
Applying Big Transfer-based classifiers to the DEAP dataset. 406-409 - Cecilia Schmitz, Taylor Sweet, David E. Thompson:
The Effects of Word Priming on Emotion Classification from Neurological Signals. 410-413 - Mineaki Oinuma, Ryu Kato, Takuma Okumura, Koji Hara:
Bio-signal Feature Analysis to Detect Aspiration Caused by Dysphagia. 414-417 - Bryan Tseng, Sandya Subramanian, Riccardo Barbieri, Emery N. Brown:
Tonic Electrodermal Activity is a Robust Marker of Psychological and Physiological Changes during Induction of Anesthesia. 418-421 - Hernando González, Carlos Arizmendi, Beatriz F. Giraldo:
Design of a Classifier to Determine the Optimal Moment of Weaning of Patients undergoing to the T-tube Test. 422-425 - Sindhura Thirumal, Amoon Jamzad, Tiziana Cotechini, D. Robert Siemens, Parvin Mousavi:
Automated Cell Phenotyping for Imaging Mass Cytometry. 426-429 - Jamie A. O'Reilly, Fawad Asadi:
Identifying Obviously Artificial Medical Images Produced by a Generative Adversarial Network. 430-433 - Ajay Anand, Nageswara R. Gurram:
Automated Deep Learning-based Single-Step Diameter Estimation of Carotid Arteries in B-mode Ultrasound. 434-437 - Haofeng Liu, Haojin Li, Xiaoxuan Wang, Heng Li, Mingyang Ou, Luoying Hao, Yan Hu, Jiang Liu:
Understanding How Fundus Image Quality Degradation Affects CNN-based Diagnosis. 438-442 - Matthias Schaufelberger, Reinald Peter Ktihle, Christian Kaiser, Andreas Wachter, Frederic Weichel, Niclas Hagen, Friedemann Ringwald, Urs Eisenmann, Christian Freudlsperger, Werner Nahm:
CNN-Based Classification of Craniosynostosis Using 2D Distance Maps. 446-449 - Yang Ai, Panyanat Aonpong, Weibin Wang, Yinhao Li, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen:
Residual Multilayer Perceptrons for Genotype-Guided Recurrence Prediction of Non-Small Cell Lung Cancer. 447-450 - Xiaoyan Zheng, Zeng Zeng, Can Ma, Qing Chang, Ziyuan Zhao, Xulei Yang:
Malignancy Suspicious Region Guided Deep Neural Networks for Gastric Ulcer Classification. 451-454 - Benedetta Olmi, Claudia Manfredi, Lorenzo Frassineti, Carlo Dani, Silvia Lori, Giovanna Bertini, Simonetta Gabbanini, Antonio Lanatà:
Aggregate Channel Features for newborn face detection in Neonatal Intensive Care Units. 455-458