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ORCID15th ISBI 2018: Washington, DC, USA
- 15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, DC, USA, April 4-7, 2018. IEEE 2018, ISBN 978-1-5386-3636-7
- Shu Zhang, Tuo Zhang, Xiao Li, Lei Guo, Tianming Liu:
Joint representation of cortical folding, structural connectivity and functional networks. 1-5 - Jingwen Yan, Kefei Liu, Huang Lv, Enrico Amico
, Shannon L. Risacher, Yu-Chien Wu, Shiaofen Fang, Olaf Sporns, Andrew J. Saykin, Joaquín Goñi, Li Shen:
Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association model. 6-9 - Jian Fang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang:
Detection of differentially developed functional connectivity patterns in adolescents based on tensor discriminative analysis. 10-14 - Jian Li, Soyoung Choi, Anand A. Joshi, Jessica L. Wisnowski, Richard M. Leahy:
Global PDF-based temporal non-local means filtering reveals individual differences in brain connectivity. 15-19 - Hyekyoung Lee, Moo K. Chung, Hyejin Kang, Hongyoon Choi, Yu Kyeong Kim, Dong Soo Lee:
Abnormal hole detection in brain connectivity by kernel density of persistence diagram and Hodge Laplacian. 20-23 - Ran Shadmi, Victoria Mazo, Orna Bregman-Amitai, Eldad Elnekave:
Fully-convolutional deep-learning based system for coronary calcium score prediction from non-contrast chest CT. 24-28 - Tianyou Dou, Lijuan Zhang, Wu Zhou:
3D deep feature fusion in contrast-enhanced MR for malignancy characterization of hepatocellular carcinoma. 29-33 - Jianfei Liu, Haewon Jung, Johnny Tam:
Computer-aided detection of pattern changes in longitudinal adaptive optics images of the retinal pigment epithelium. 34-38 - Yair Dgani, Hayit Greenspan, Jacob Goldberger:
Training a neural network based on unreliable human annotation of medical images. 39-42 - Yanwu Xu, Lixin Duan, Huazhu Fu, Zhuo Zhang, Wei Zhao, Tianyuan You, Tien Yin Wong, Jiang Liu:
Ocular disease detection from multiple informatics domains. 43-47 - Claire Yilin Lin, Jeffrey A. Fessler:
Accelerated methods for low-rank plus sparse image reconstruction. 48-51 - Zhipeng Li, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler:
Image-domain material decomposition using data-driven sparsity models for dual-energy CT. 52-56 - Christian Hauke, Martino Leghissa, Thomas Mertelmeier, Marcus Radicke, S. Sutter, Thomas Weber, Gisela Anton, Ludwig Ritschl:
Moiré artefact reduction in Talbot-Lau X-ray imaging. 57-60 - Tae Hyung Kim, Justin P. Haldar:
The Fourier radial error spectrum plot: A more nuanced quantitative evaluation of image reconstruction quality. 61-64 - Michael T. McCann, Laura Vilaclara, Michael Unser:
Region of interest X-ray computed tomography via corrected back projection. 65-69 - Huan Liu, Shijie Zhao, Xi Jiang, Shu Zhang, Xintao Hu, Lei Quo, Tianming Liu:
Characterizing task-evoked and intrinsic functional networks from task-based fMRI data via two-stage sparse dictionary learning. 70-73 - Fangfei Ge, Jinglei Lv, Xintao Hu, Lei Guo, Junwei Han, Shijie Zhao, Tianming Liu:
Exploring intrinsic networks and their interactions using group wise temporal sparse coding. 74-77 - Heng Huang, Xintao Hu, Qinglin Dong, Shijie Zhao, Shu Zhang, Yu Zhao, Lei Quo, Tianming Liu:
Modeling task fMRI data via mixture of deep expert networks. 82-86 - Siyuan Gao, Abigail S. Greene, R. Todd Constable, Dustin Scheinost:
Task integration for connectome-based prediction via canonical correlation analysis. 87-91 - Junqi Wang, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang:
Integration of network topological features and graph Fourier transform for fMRI data analysis. 92-96 - Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Daniel Y.-J. Yang, Pamela Ventola, James S. Duncan:
Prediction of Pivotal response treatment outcome with task fMRI using random forest and variable selection. 97-100 - Hongming Li, Theodore D. Satterthwaite, Yong Fan:
Brain age prediction based on resting-state functional connectivity patterns using convolutional neural networks. 101-104 - Aiying Zhang, Jian Fang, Vince D. Calhoun, Yu-Ping Wang:
High dimensional latent Gaussian copula model for mixed data in imaging genetics. 105-109 - Colin J. Brown, Jeremy Kawahara, Ghassan Hamarneh:
Connectome priors in deep neural networks to predict autism. 110-113 - Abdullah Alchihabi, Baran B. Kivilicim, Sharlene D. Newman, Fatos T. Yarman-Vural:
A dynamic network representation of fMRI for modeling and analyzing the problem solving task. 114-117 - Matthew Cieslak, Wendy Meiring, Tegan Brennan, Clint Greene, Lukas J. Volz, Jean M. Vettel, Subhash Suri, Scott T. Grafton:
Compositional measures of diffusion anisotropy and asymmetry. 123-126 - Wei Zhang, Jinglei Lv, Shu Zhang, Yu Zhao, Tianming Liu:
Modeling resting state fMRI data via longitudinal supervised stochastic coordinate coding. 127-131 - Daniel Schmitz, Katrin Amunts, Thomas Lippert, Markus Axer:
A least squares approach for the reconstruction of nerve fiber orientations from tiltable specimen experiments in 3D-PLI. 132-135 - Guodong Zeng, Guoyan Zheng:
Multi-stream 3D FCN with multi-scale deep supervision for multi-modality isointense infant brain MR image segmentation. 136-140 - Sudhanya Chatterjee, Olivier Commowick, Onur Afacan, Simon K. Warfield, Christian Barillot:
Multi-compartment model of brain tissues from T2 relaxometry MRI using gamma distribution. 141-144 - Shubham Kumar, Sailesh Conjeti, Abhijit Guha Roy, Christian Wachinger, Nassir Navab:
InfiNet: Fully convolutional networks for infant brain MRI segmentation. 145-148 - Karl Bäckström, Mahmood Nazari, Irene Yu-Hua Gu, Asgeir Store Jakola:
An efficient 3D deep convolutional network for Alzheimer's disease diagnosis using MR images. 149-153 - Qiang Zheng, Yong Fan:
Integrating semi-supervised label propagation and random forests for multi-atlas based hippocampus segmentation. 154-157 - Snehashis Roy, John A. Butman, Leighton Chan, Dzung L. Pham:
TBI contusion segmentation from MRI using convolutional neural networks. 158-162 - Francisco Javier Alvarez Padilla, Barbara Romaniuk, Benoît Naegel, Stéphanie Servagi-Vernat, David Morland, Dimitri Papathanassiou, Nicolas Passat:
Hierarchical forest attributes for multimodal tumor segmentation on FDG-PET/contrast-enhanced CT. 163-167 - Noel C. F. Codella, David A. Gutman, M. Emre Celebi, Brian Helba, Michael A. Marchetti, Stephen W. Dusza, Aadi Kalloo, Konstantinos Liopyris, Nabin K. Mishra, Harald Kittler, Allan Halpern:
Skin lesion analysis toward melanoma detection: A challenge at the 2017 International symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC). 168-172 - Marek Wodzinski, Andrzej Skalski, Izabela Ciepiela, Tomasz Kuszewski, Piotr Kedzierawski:
Volume regularization in explicit image registration used for breast cancer bed localization. 173-176 - Anneke Meyer, Alireza Mehrtash, Marko Rak, Daniel Schindele, Martin Schostak, Clare M. Tempany, Tina Kapur, Purang Abolmaesumi, Andriy Fedorov, Christian Hansen:
Automatic high resolution segmentation of the prostate from multi-planar MRI. 177-181 - Yuexiang Li, Xuechen Li, Xinpeng Xie, Linlin Shen:
Deep learning based gastric cancer identification. 182-185 - Korsuk Sirinukunwattana, J. Lin, P. Lu, F. Beca, J. Peng, A. Tolwani, A. Stancu, Sushama Varma, Robert West:
Quantifying chromosomal copy number alterations in breast ductal carcinoma in situ: A deep learning based approach. 186-190 - Ida Arvidsson, Niels Christian Overgaard, Felicia-Elena Marginean, Agnieszka Krzyzanowska, Anders Bjartell, Kalle Åström, Anders Heyden:
Generalization of prostate cancer classification for multiple sites using deep learning. 191-194 - Yi-Jie Huang, Qi Dou, Zi-Xian Wang, Li-Zhi Liu, Li-Sheng Wang, Hao Chen, Pheng-Ann Heng, Rui-Hua Xu:
HL-FCN: Hybrid loss guided FCN for colorectal cancer segmentation. 195-198 - Wei Shao, Liang Sun, Daoqiang Zhang:
Deep active learning for nucleus classification in pathology images. 199-202 - Xuelu Li, Vishal Monga, Arvind U. K. Rao:
Analysis-synthesis model learning with shared features: A new framework for histopathological image classification. 203-206 - Islam Reda, Babajide O. Ayinde, Mohammed M. Elmogy, Ahmed Shalaby, Moumen T. El-Melegy, Mohamed Abou El-Ghar, Ahmed Abou El-Fetouh, Mohammed Ghazal, Ayman El-Baz:
A new CNN-based system for early diagnosis of prostate cancer. 207-210 - Olmo Zavala-Romero, Anke Meyer-Baese, Marc B. I. Lobbes:
Breast lesion segmentation software for DCE-MRI: An open source GPGPU based optimization. 211-215 - Faisal Mahmood, Nicholas J. Durr:
Topographical reconstructions from monocular optical colonoscopy images via deep learning. 216-219 - Chunfeng Lian, Hua Li, Pierre Vera, Su Ruan:
Unsupervised co-segmentation of tumor in PET-CT images using belief functions based fusion. 220-223 - Zisha Zhong, Yusung Kim, Leixin Zhou, Kristin A. Plichta, Bryan Allen, John M. Buatti, Xiaodong Wu:
Improving tumor co-segmentation on PET-CT images with 3D co-matting. 224-227 - Zisha Zhong, Yusung Kim, Leixin Zhou, Kristin A. Plichta, Bryan Allen, John M. Buatti, Xiaodong Wu:
3D fully convolutional networks for co-segmentation of tumors on PET-CT images. 228-231 - Deepak Roy Chittajallu, Neal Siekierski, Sanghoon Lee, Samuel Gerber, Jonathan D. Beezley, David Manthey, David A. Gutman, Lee Cooper:
Vectorized persistent homology representations for characterizing glandular architecture in histology images. 232-235 - Nan Chen, Chaan Ng, Brian Paul Hobbs:
Bayesian classifiers of solid lesions with dynamic CT: Integrating enhancement density with washout density and delay interval. 236-239 - Maria J. M. Chuquicusma, Sarfaraz Hussein, Jeremy Burt, Ulas Bagci:
How to fool radiologists with generative adversarial networks? A visual turing test for lung cancer diagnosis. 240-244 - Mariëlle J. A. Jansen, Hugo J. Kuijf, Josien P. W. Pluim:
Automatic classification of focal liver lesions based on clinical DCE-MR and T2-weighted images: A feasibility study. 245-248 - Dejan Knez, Imad S. Nahle, Tomaz Vrtovec, Stefan Parent, Samuel Kadoury:
Computer-assisted pedicle screw placement planning: Towards clinical practice. 249-252 - Maria V. Sainz de Cea, Yongyi Yang, Robert M. Nishikawa:
Reducing the effect of false positives in classification of detected clustered microcalcifications. 253-256 - Yang Song, Hang Chang, Yang Gao, Sidong Liu, Donghao Zhang, Junen Yao, Wojciech Chrzanowski, Weidong Cai:
Feature learning with component selective encoding for histopathology image classification. 257-260 - Yan Zhuang, Omar Uribe, Mark M. McDonald, Iris Lin, Daniel Arteaga, William Dalrymple, Bradford Worrall, Andrew Southerland, Gustavo K. Rohde:
Pathological facial weakness detection using computational image analysis. 261-264 - P. M. Gordaliza, Juan José Vaquero, Sally Sharpe, Manuel Desco, Arrate Muñoz-Barrutia:
Towards an informational model for tuberculosis lesion discrimination on X-ray CT images. 265-268 - Dário Augusto Borges Oliveira, Matheus Palhares Viana:
An efficient multi-scale data representation method for lung nodule false positive reduction using convolutional neural networks. 269-272 - Monica Iturrioz Campo, Javier Pascau, Raúl San José Estépar:
Emphysema quantification on simulated X-rays through deep learning techniques. 273-276 - Rong Zhang, Qiufang Liu, Hui Cui, Xiuying Wang, Shaoli Song, Gang Huang, Dagan Feng:
Thyroid classification via new multi-channel feature association and learning from multi-modality MRI images. 277-280 - Monika Grewal, Muktabh Mayank Srivastava, Pulkit Kumar, Srikrishna Varadarajan:
RADnet: Radiologist level accuracy using deep learning for hemorrhage detection in CT scans. 281-284 - Valentina Giannini, Samanta Rosati, Cristina Castagneri, Laura Martincich, Daniele Regge, Gabriella Balestra:
Radiomics for pretreatment prediction of pathological response to neoadjuvant therapy using magnetic resonance imaging: Influence of feature selection. 285-288 - Maayan Frid-Adar, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan:
Synthetic data augmentation using GAN for improved liver lesion classification. 289-293 - Mostafa Mohamad, Amal Farag, Asem M. Ali, Salwa Elshazly, Aly A. Farag, Mohamad Ghanoum:
Enhancing virtual colonoscopy with a new visualization measure. 294-297 - Jian Wu, Su Ruan, Chunfeng Lian, Sasa Mutic, Mark A. Anastasio, Hua Li:
Active learning with noise modeling for medical image annotation. 298-301 - Prachi H. Kulkarni, S. N. Merchant, Suyash P. Awate:
Bayesian reconstruction of R-fMRI from K-T undersampled data using a robust, subject-invariant, spatially-regularized dictionary prior. 302-306 - Tomasz Pieciak, Inaki Rabanillo-Viloria, Santiago Aja-Fernández:
Bias correction for non-stationary noise filtering in MRI. 307-310 - Eunhee Kang, Jong Chul Ye:
Framelet denoising for low-dose CT using deep learning. 311-314 - Serhat Ilbey, Can Baris Top, Alper Gungor, Emine Ulku Saritas, H. Emre Guven:
Coded scenes for fast system calibration in magnetic particle imaging. 315-318 - James R. Clough, Daniel R. Balfour, Paul K. Marsden, Claudia Prieto, Andrew J. Reader, Andrew P. King:
MRI slice stacking using manifold alignment and wave kernel signatures. 319-323 - Chao Song, Yongyi Yang, Albert J. Ramon, Miles N. Wernick, P. Hendrik Pretorius, Michael A. King:
Improving perfusion defect detection with respiratory motion compensation in cardiac SPECT. 324-327 - C. Goubet, Max Langer, Françoise Peyrin, Juan F. P. J. Abascal:
Low-dose synchrotron nano-CT via compressed sensing. 328-331 - Thanh Nguyen-Duc, Won-Ki Jeong:
Compressed sensing dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding with elastic net regularization. 332-335 - Tom Hohweiller, Nicolas Ducros, Françoise Peyrin, Bruno Sixou:
A constrained Gauss-Newton algorithm for material decomposition in spectral computed tomography. 336-339 - Cong Zhao, Yuncheng Zhong, Jing Wang, Mingwu Jin:
Modified simultaneous motion estimation and image reconstruction (m-SMEIR) for 4D-CBCT. 340-343 - Lianli Liu, Adam Johansson, James M. Balter, Yue Cao, Jeffrey A. Fessler:
Accelerated high b-value diffusion-weighted MR imaging via phase-constrained low-rank tensor model. 344-348 - Peng Liu, Ruogu Fang:
SDCNet: Smoothed dense-convolution network for restoring low-dose cerebral CT perfusion. 349-352 - Awais Mansoor, Teerit Vongkovit, Marius George Linguraru:
Adversarial approach to diagnostic quality volumetric image enhancement. 353-356 - Haris Jeelani, Jonathan Martin, Francis Vasquez, Michael Salerno, Daniel S. Weller:
Image quality affects deep learning reconstruction of MRI. 357-360 - Kyong Hwan Jin, Michael Unser:
3D BBPConvNet to reconstruct parallel MRI. 361-364 - Can Zhao, Aaron Carass, Blake E. Dewey, Jerry L. Prince:
Self super-resolution for magnetic resonance images using deep networks. 365-368 - Rikkert Van Durme, Annelies Coene, Guillaume Crevecoeur, Luc Dupré:
Model-based optimal design of a magnetic nanoparticle tomographic imaging setup. 369-372 - Jingru Yi, Pengxiang Wu, Daniel J. Hoeppner, Dimitris N. Metaxas:
Pixel-wise neural cell instance segmentation. 373-377 - Chi Xiao, Jing Liu, Xi Chen, Hua Han, Chang Shu, Qiwei Xie:
Deep contextual residual network for electron microscopy image segmentation in connectomics. 378-381 - Johannes Stegmaier, Thiago Vallin Spina, Alexandre X. Falcão, Andreas Bartschat, Ralf Mikut, Elliot Meyerowitz, Alexandre Cunha:
Cell segmentation in 3D confocal images using supervoxel merge-forests with CNN-based hypothesis selection. 382-386 - Damian J. Matuszewski, Ida-Maria Sintorn:
Minimal annotation training for segmentation of microscopy images. 387-390 - Thiago Vallin Spina, Johannes Stegmaier, Alexandre X. Falcão, Elliot Meyerowitz, Alexandre Cunha:
SEGMENT3D: A web-based application for collaborative segmentation of 3D images used in the shoot apical meristem. 391-395 - D. Baltissen, Thomas Wollmann, Manuel Gunkel, Inn Chung, Holger Erfle, Karsten Rippe, Karl Rohr:
Comparison of segmentation methods for tissue microscopy images of glioblastoma cells. 396-399 - Róger Bermúdez-Chacón, Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua:
A domain-adaptive two-stream U-Net for electron microscopy image segmentation. 400-404 - Matthew Quay, Zeyad Ali Sami Emam, Adam Anderson, Richard Leapman:
Designing deep neural networks to automate segmentation for serial block-face electron microscopy. 405-408 - Donghao Zhang, Yang Song, Siqi Liu, Dagan Feng, Yue Wang, Weidong Cai:
Nuclei instance segmentation with dual contour-enhanced adversarial network. 409-412 - Carlos Castilla, Martin Maska, Dmitry V. Sorokin, Erik Meijering, Carlos Ortiz-de-Solorzano:
Segmentation of actin-stained 3D fluorescent cells with filopodial protrusions using convolutional neural networks. 413-417 - David Joon Ho, Chichen Fu, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
Nuclei detection and segmentation of fluorescence microscopy images using three dimensional convolutional neural networks. 418-422 - Yousef Al-Kofahi, Fiona Ginty:
Image analytic algorithms for automated cell segmentation quality control. 423-426 - Enrico Grisan, Jean-Marie Graïc, Livio Corain, Antonella Peruffo:
Resolving single cells in heavily clustered Nissl-stained images for the analysis of brain cytoarchitecture. 427-430 - Pol del Aguila Pla, Joakim Jaldén:
Cell detection on image-based immunoassays. 431-435 - Chang Shu, Xi Chen, Qiwei Xie, Chi Xiao, Hua Han:
Non-iterative simultaneous rigid registration method for serial sections of biological tissue. 436-440 - Jing Qin, Xiyu Yi, Shimon Weiss:
A novel fluorescence microscopy image deconvolution approach. 441-444 - Joseph Boyd, Alice Pinhiero, Elaine Del Nery, Fabien Reyal, Thomas Walter:
Analysing double-strand breaks in cultured cells for drug screening applications by causal inference. 445-448 - Jorge Sola-Pikabea, Ana Doblas, Genaro Saavedra, Manuel Martínez-Corral, Chrysanthe Preza:
Optimal design of incoherent tunable-frequency structured illumination microscope scheme. 449-452 - Lopamudra Mukherjee, Adib Keikhosravi, Kevin W. Eliceiri:
Neighborhood regularized image superresolution for applications to microscopic imaging. 453-457 - Yao Yao, Ihor Smal, Erik Meijering:
Deep neural networks for data association in particle tracking. 458-461 - Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, Matthew Sinclair, Daniel Rueckert, Julia A. Schnabel, Andrew P. King:
Automatic left ventricular outflow tract classification for accurate cardiac MR planning. 462-465 - Siming Yan, Feng Shi, Yuhua Chen, Damini Dey, Sang-Eun Lee, Hyuk-Jae Chang, Debiao Li, Yibin Xie:
Calcium removal from cardiac ct images using deep convolutional neural network. 466-469 - Dongqing Zhang, Ilknur Icke, Belma Dogdas, Sarayu Parimal, Smita Sampath, Joseph Forbes, Ansuman Bagchi, Chih-Liang Chin, Antong Chen:
A multi-level convolutional LSTM model for the segmentation of left ventricle myocardium in infarcted porcine cine MR images. 470-473 - Ilya A. Verzhbinsky, Patrick Magrath, Eric Aliotta, Daniel B. Ennis, Luigi E. Perotti:
Time resolved displacement-based registration of in vivo cDTI cardiomyocyte orientations. 474-478 - Dong Yang, Qiaoying Huang, Leon Axel, Dimitris N. Metaxas:
Multi-component deformable models coupled with 2D-3D U-Net for automated probabilistic segmentation of cardiac walls and blood. 479-483 - Tim Tsz-Kit Lau, Emilie Chouzenoux, Claire Lefort, Jean-Christophe Pesquet:
Optimal multivariate Gaussian fitting for PSF modeling in two-photon microscopy. 484-488 - Anna Jezierska, Hugues Talbot, Jean-Christophe Pesquet:
Spatially variant PSF modeling in confocal macroscopy. 489-492 - Bertha Mayela Toledo Acosta, Xavier Heiligenstein, Grégoire Malandain, Patrick Bouthemy:
Intensity-based matching and registration for 3D correlative microscopy with large discrepancies. 493-496 - Sanjay Viswanath, Simon de Beco, Maxime Dahan, Muthuvel Arigovindan:
Multi-resolution based spatially adaptive multi-order total variation for image restoration. 497-500 - Jizhou Li, Feng Xue, Thierry Blu:
Accurate 3D PSF estimation from a wide-field microscopy image. 501-504 - Tianyi Zhao, Dashan Gao, Jiao Wang, Zhaozheng Yin:
Lung segmentation in CT images using a fully convolutional neural network with multi-instance and conditional adversary loss. 505-509 - Silas Nyboe Ørting, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne:
Detecting emphysema with multiple instance learning. 510-513 - Xiaodong Wu, Zisha Zhong, John M. Buatti, Junjie Bai:
Multi-scale segmentation using deep graph cuts: Robust lung tumor delineation in MVCBCT. 514-518 - David Bermejo-Peláez, Raúl San José Estépar, María J. Ledesma-Carbayo:
Emphysema classification using a multi-view convolutional network. 519-522 - Hao Tang, Daniel R. Kim, Xiaohui Xie:
Automated pulmonary nodule detection using 3D deep convolutional neural networks. 523-526 - Mahmoud Mostapha, Sun Hyung Kim, Guorong Wu, Leo Zsembik, Stephen M. Pizer, Martin Styner:
Non-Euclidean, convolutional learning on cortical brain surfaces. 527-530 - Xiaoqing Tan, Christopher A. Ross, Michael I. Miller, Xiaoying Tang:
Changepoint analysis of putamen and thalamus subregions in premanifest huntington's disease. 531-535 - Dajiang Zhu, Li Wang:
Exploring latent structures of Alzheimer's disease via structure learning. 536-540 - Qinghua Zhao, Xiaoshuang Sang, Jianfeng Lu:
Weighted group sparse functional connectivity modeling for Alzheimer's disease identification. 541-544 - Lyujian Lu, Hua Wang, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen:
Predicting progressions of cognitive outcomes via high-order multi-modal multi-task feature learning. 545-548 - Tolga Tasdizen, Mehdi Sajjadi, Mehran Javanmardi, Nisha Ramesh:
Improving the robustness of convolutional networks to appearance variability in biomedical images. 549-553 - Mehran Javanmardi, Tolga Tasdizen:
Domain adaptation for biomedical image segmentation using adversarial training. 554-558 - Xuhui Chen, Yi Lu, Junjie Bai, Youbing Yin, Kunlin Cao, Yuwei Li, Hanbo Chen, Qi Song, Jun Wu:
Train a 3D U-Net to segment cranial vasculature in CTA volume without manual annotation. 559-563 - Juan J. Cerrolaza, Matthew Sinclair, Yuanwei Li, Alberto Gómez, Enzo Ferrante, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Daniel Rueckert:
Deep learning with ultrasound physics for fetal skull segmentation. 564-567 - Meet P. Shah, S. N. Merchant, Suyash P. Awate:
Abnormality detection using deep neural networks with robust quasi-norm autoencoding and semi-supervised learning. 568-572 - Farhad Ghazvinian Zanjani, Svitlana Zinger, Babak Ehteshami Bejnordi, Jeroen A. W. M. van der Laak, Peter H. N. de With:
Stain normalization of histopathology images using generative adversarial networks. 573-577 - Kausik Das, Sailesh Conjeti, Abhijit Guha Roy, Jyotirmoy Chatterjee, Debdoot Sheet:
Multiple instance learning of deep convolutional neural networks for breast histopathology whole slide classification. 578-581 - Thomas Wollmann, C. S. Eijkman, Karl Rohr:
Adversarial domain adaptation to improve automatic breast cancer grading in lymph nodes. 582-585 - Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta:
Inferring a third spatial dimension from 2D histological images. 586-589 - Simon Graham, Nasir M. Rajpoot:
SAMS-NET: Stain-aware multi-scale network for instance-based nuclei segmentation in histology images. 590-594 - Lei Li, Xintao Hu, Heng Huang, Chunlin He, Liting Wang, Junwei Han, Lei Quo, Wei Zhang, Tianming Liu:
Latent source mining of fMRI data via deep belief network. 595-598 - Daniel R. Balfour, James R. Clough, Xin Chen, Martin A. Belzunce, Claudia Prieto, Paul K. Marsden, Andrew J. Reader, Andrew P. King:
PET-MR respiratory signal estimation using semi-supervised manifold alignment. 599-603 - Dushyant Sahoo, Nicolas Honnorat, Christos Davatzikos:
GPU accelerated extraction of sparse Granger causality patterns. 604-607 - César Caballero-Gaudes, Peter A. Bandettini, Javier Gonzalez-Castillo:
A temporal deconvolution algorithm for multiecho functional MRI. 608-611 - Bartosz Kopczynski, Pawel Strumillo, Marcin Just, Ewa Niebudek-Bogusz:
Generating 3D spatio-temporal models of vocal folds vibrations from high speed digital imaging. 612-615 - Jose Dolz, Ismail Ben Ayed, Jing Yuan, Christian Desrosiers:
Isointense infant brain segmentation with a hyper-dense connected convolutional neural network. 616-620 - Pierre-Antoine Ganaye, Michaël Sdika, Hugues Benoit-Cattin:
Towards integrating spatial localization in convolutional neural networks for brain image segmentation. 621-625 - Biting Yu, Luping Zhou, Lei Wang, Jurgen Fripp, Pierrick Bourgeat:
3D cGAN based cross-modality MR image synthesis for brain tumor segmentation. 626-630 - Iván Ramírez, Adrián Martín, Emanuele Schiavi:
Optimization of a variational model using deep learning: An application to brain tumor segmentation. 631-634 - Jen-Wei Kuo, Ziming Qiu, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang:
Automatic body localization and brain ventricle segmentation in 3D high frequency ultrasound images of mouse embryos. 635-639 - Sarun Gulyanon, Nima Sharifai, Michael D. Kim, Akira Chiba, Gavriil Tsechpenakis:
Part-wise neuron segmentation using artificial templates. 640-644 - Assaf Arbelle, Tammy Riklin Raviv:
Microscopy cell segmentation via adversarial neural networks. 645-648 - Jan Funke, Chong Zhang, Tobias Pietzsch, Miguel Ángel González Ballester, Stephan Saalfeld:
The candidate multi-cut for cell segmentation. 649-653 - Leonid Kostrykin, Christoph Schnörr, Karl Rohr:
Segmentation of cell nuclei using intensity-based model fitting and sequential convex programming. 654-657 - Benjamin Quachtran, Luis de la Torre Ubieta, Marianna Yusupova, Daniel H. Geschwind, David W. Shattuck:
Voting-based segmentation of overlapping nuclei in clarity images. 658-662 - Rodrigo A. Lobos, Ahsan Javed, Krishna S. Nayak, W. Scott Hoge, Justin P. Haldar:
Robust autocalibrated loraks for EPI ghost correction. 663-666 - S. K. HashemizadehKolowri, Rong-Rong Chen, Edward V. R. DiBella, Edward W. Hsu, Leslie Ying, Ganesh Adluru:
Improving image reconstructions for simultaneous multi-slice readout-segmented diffusion MRI data with phase errors. 667-670 - Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob:
Model based image reconstruction using deep learned priors (MODL). 671-674 - Daeun Kim, Jessica L. Wisnowski, Christopher T. Nguyen, Justin P. Haldar:
Probing in vivo microstructure with T1-T2 relaxation correlation spectroscopic imaging. 675-678 - Ipshita Bhattacharya, Mathews Jacob:
Denoising and deinterleaving of EPSI data using structured low-rank matrix recovery. 679-682 - Jing Xia, Caiming Zhang, Fan Wang, Yu Meng, Zhengwang Wu, Li Wang, Weili Lin, Dinggang Shen, Gang Li:
A computational method for longitudinal mapping of orientation-specific expansion of cortical surface area in infants. 683-686 - Snehashis Roy, Andrew K. Knutsen, Alexandru Korotcov, Asamoah Bosomtwi, Bernard Dardzinski, John A. Butman, Dzung L. Pham:
A deep learning framework for brain extraction in humans and animals with traumatic brain injury. 687-691 - Tengfei Li, Fan Zhou, Ziliang Zhu, Hai Shu, Hongtu Zhu:
A label-fusion-aided convolutional neural network for isointense infant brain tissue segmentation. 692-695 - Jing Xia, Caiming Zhang, Fan Wang, Oualid M. Benkarim, Gerard Sanroma, Gemma Piella, Miguel Ángel González Ballester, Nadine Hahner, Elisenda Eixarch, Dinggang Shen, Gang Li:
Fetal cortical parcellation based on growth patterns. 696-699 - Alexandre Pron, Lucile Brun, Christine Deruelle, Olivier Coulon:
Dense and structured representations of U-shape fiber connectivity in the central sulcus. 700-703 - Fan Wang, Chunfeng Lian, Jing Xia, Zhengwang Wu, Dingna Duan, Li Wang, Dinggang Shen, Gang Li:
Construction of spatiotemporal infant cortical surface atlas of rhesus macaque. 704-707 - Vikash Gupta, Sophia I. Thomopoulos, Conor K. Corbin, Faisal Rashid, Paul M. Thompson:
FIBERNET 2.0: An automatic neural network based tool for clustering white matter fibers in the brain. 708-711 - Ali Haddad, Laleh Najafizadeh:
Recognizing task-specific dynamic structure of the brain function from EEG. 712-715 - Puyang Wang, Nick G. Cuccolo, Rachana Tyagi, Ilker Hacihaliloglu, Vishal M. Patel:
Automatic real-time CNN-based neonatal brain ventricles segmentation. 716-719 - Seyed Sadegh Mohseni Salehi, Seyed Raein Hashemi, Clemente Velasco-Annis, Abdelhakim Ouaalam, Judy A. Estroff, Deniz Erdogmus, Simon K. Warfield, Ali Gholipour:
Real-time automatic fetal brain extraction in fetal MRI by deep learning. 720-724 - Nicha C. Dvornek, Pamela Ventola, James S. Duncan:
Combining phenotypic and resting-state fMRI data for autism classification with recurrent neural networks. 725-728 - Sharib Ali, Markus Axer, Katrin Amunts, Roland Eils, Karl Rohr:
Evaluating local features in high-resolution 3D-PLI data. 729-733 - Changhee Han, Hideaki Hayashi, Leonardo Rundo, Ryosuke Araki, Wataru Shimoda, Shinichi Muramatsu, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama:
GAN-based synthetic brain MR image generation. 734-738 - Yuhua Chen, Yibin Xie, Zhengwei Zhou, Feng Shi, Anthony G. Christodoulou, Debiao Li:
Brain MRI super resolution using 3D deep densely connected neural networks. 739-742 - Divya Varadarajan, Justin P. Haldar:
Towards optimal linear estimation of orientation distribution functions with arbitrarily sampled diffusion MRI data. 743-746 - Yi-Yu Chou, Snehashis Roy, Catie Chang, John A. Butman, Dzung L. Pham:
Deep learning of resting state networks from independent component analysis. 747-751 - Aziz Kocanaogullan, Fernando Quivira, Deniz Erdogmus:
Incorporating temporal dependency on ERP based BCI. 752-756 - James McLean, Fernando Quivira, Deniz Erdogmus:
Improved classification in tactile BCIs using a noisy label model. 757-761 - Sharib Ali, Katrin Amunts, Roland Eils, Markus Axer, Karl Rohr:
Scale-bundle spline-based non-rigid registration for handling fissures. 762-765 - Mohammed Hassan Attia, Imali Hettiarachchi, Mohammed Hossny, Saeid Nahavandi:
A time domain classification of steady-state visual evoked potentials using deep recurrent-convolutional neural networks. 766-769 - Jonathan Folmsbee, Xulei Liu, Margaret Brandwein-Weber, Scott Doyle:
Active deep learning: Improved training efficiency of convolutional neural networks for tissue classification in oral cavity cancer. 770-773 - Raunak Dey, Zhongjie Lu, Yi Hong:
Diagnostic classification of lung nodules using 3D neural networks. 774-778 - Jung won Cha, Neal Dunlap, Amir A. Amini:
Statistical correlation of CT ventilation imaging and V/Q spect in patients with lung cancer. 779-783 - Diana Mandache, E. Dalimier, J. R. Durkin, C. Boceara, Jean-Christophe Olivo-Marin, Vannary Meas-Yedid:
Basal cell carcinoma detection in full field OCT images using convolutional neural networks. 784-787 - Felicia Alfano, F. Perez Garcia, Juan Enrique Ortuño Fisac, Mercedes Herrero Conde, Oscar Bueno Zamora, Felipe A. Calvo, Serafín Lizarraga, Andrés Santos, Javier Pascau, María J. Ledesma-Carbayo:
Tumor localization using prone to supine surface based registration for breast cancer surgical planning. 788-791 - Ruben Sánchez de la Rosa, Ann-Katherine Carton, Pablo Milioni de Carvalho, Z. Li, Serge Muller, Isabelle Bloch:
Preliminary study of CEDBT and CESM performances using simulated analytical contrast uptakes. 792-795 - Elliot Gray, Elizabeth Mitchell, Sonali Jindal, Pepper Schedin, Young Hwan Chang:
A method for quantification of calponin expression in myoepithelial cells in immunohistochemical images of ductal carcinoma in situ. 796-799 - Sarfaraz Hussein, Pujan Kandel, Juan E. Corral, Candice W. Bolan, Michael B. Wallace, Ulas Bagci:
Deep multi-modal classification of intraductal papillary mucinous neoplasms (IPMN) with canonical correlation analysis. 800-804 - Vaishnavi Subramanian, Benjamin Chidester, Jian Ma, Minh N. Do:
Correlating cellular features with gene expression using CCA. 805-808 - Xiuying Wang, Hui Cui, Chaojie Zheng, Shan Zeng, Wensi Tang, Peng Gong, Dagan Feng:
Collaborative learning based feature adaption model with applications on MRI prostate boundary delineation. 809-812 - Zongqing Ma, Xi Wu, Shanhui Sun, Chaoyang Xia, Zhipeng Yang, Shuo Li, Jiliu Zhou:
A discriminative learning based approach for automated nasopharyngeal carcinoma segmentation leveraging multi-modality similarity metric learning. 813-816 - Johanna Uthoff, Jessica C. Sieren:
Information theory optimization based feature selection in breast mammography lesion classification. 817-821 - Masaharu Sakamoto, Hiroki Nakano, Kun Zhao, Taro Sekiyama:
Lung nodule classification by the combination of fusion classifier and cascaded convolutional neural networks. 822-825 - Christoph Haarburger, Johannes Ruther, Daniel Truhn, Simone Schrading, Daniel Bug, Christiane K. Kuhl, Dorit Merhof:
Abbreviated breast biopsy procedure by registration of craniocaudal and mediolateral breast MR images. 826-830 - Garrett Winkelmaier, Mina Khoshdeli, Qingsu Cheng, Alexander Borowsky, Bahram Parvin:
Quantum cascade laser infrared microscopy differentiates malignant phenotypes in breast histology sections. 831-834 - Wenbing Lv, Qingyu Yuan, Quanshi Wang, Jianhua Ma, Qianjin Feng, Wufan Chen, Arman Rahmim, Lijun Lu:
Radiomics analysis of baseline F-FDG PET/CT images for improved prognosis in nasopharyngeal carcinoma. 835-838 - Saramati Narasimhan, Michael I. Miga, Nitesh Rana, Haley B. Johnson, Albert Attia, Jared A. Weis:
Differentiating tumor recurrence from radiation-induced necrosis: An image-based mathematical modeling framework. 839-842 - Sebastian Otálora, Oscar J. Perdomo, Manfredo Atzori, Mats Andersson, Ludwig Jacobsson, Martin Hedlund, Henning Müller:
Determining the scale of image patches using a deep learning approach. 843-846 - Wentao Zhu, Xiang Xiang, Trac D. Tran, Gregory D. Hager, Xiaohui Xie:
Adversarial deep structured nets for mass segmentation from mammograms. 847-850 - Archit Raj, Srikrishnan Vishwanathan, Bhavya Ajani, Karthik Krishnan, Harsh Agarwal:
Automatic knee cartilage segmentation using fully volumetric convolutional neural networks for evaluation of osteoarthritis. 851-854 - Maria Vakalopoulou, Guillaume Chassagnon, Nikos Paragios, Marie-Pierre Revel, Evangelia I. Zacharaki:
Deep patch-based priors under a fully convolutional encoder-decoder architecture for interstitial lung disease segmentation. 855-858 - Yuan Xue, Tao Xu, Xiaolei Huang:
Adversarial learning with multi-scale loss for skin lesion segmentation. 859-863 - Karen López-Linares, Nerea Lete, Luis Kabongo, Mario Ceresa, Gregory Maclair, Ainhoa García-Familiar, Iván Macía, Miguel Ángel González Ballester:
Comparison of regularization techniques for DCNN-based abdominal aortic aneurysm segmentation. 864-867 - William Whitehead, Steven Moran, Bilwaj Gaonkar, Luke Macyszyn, Subramanian S. Iyer:
A deep learning approach to spine segmentation using a feed-forward chain of pixel-wise convolutional networks. 868-871 - Ahmed Harouni, Alexandros Karargyris, Mohammadreza Negahdar, David Beymer, Tanveer F. Syeda-Mahmood:
Universal multi-modal deep network for classification and segmentation of medical images. 872-876 - Zahra Mirikharaji, Saeed Izadi, Jeremy Kawahara, Ghassan Hamarneh:
Deep auto-context fully convolutional neural network for skin lesion segmentation. 877-880 - Saeed Izadi, Zahra Mirikharaji, Jeremy Kawahara, Ghassan Hamarneh:
Generative adversarial networks to segment skin lesions. 881-884 - Zishun Feng, Dong Nie, Li Wang, Dinggang Shen:
Semi-supervised learning for pelvic MR image segmentation based on multi-task residual fully convolutional networks. 885-888 - Botian Xu, Yaqiong Chai, Cristina M. Galarza, Chau Q. Vu, Benita Tamrazi, Bilwaj Gaonkar, Luke Macyszyn, Thomas D. Coates Jr., Natasha Leporé, John C. Wood:
Orchestral fully convolutional networks for small lesion segmentation in brain MRI. 889-892 - Rens Janssens, Guodong Zeng, Guoyan Zheng:
Fully automatic segmentation of lumbar vertebrae from CT images using cascaded 3D fully convolutional networks. 893-897 - Gopalkrishna Veni, Mehdi Moradi, Hakan Bulu, Girish Narayan, Tanveer F. Syeda-Mahmood:
Echocardiography segmentation based on a shape-guided deformable model driven by a fully convolutional network prior. 898-902 - Zhe Guo, Xiang Li, Heng Huang, Ning Quo, Quanzheng Li:
Medical image segmentation based on multi-modal convolutional neural network: Study on image fusion schemes. 903-907 - Ruoyang Yao, Marien Ochoa, Xavier Intes, Pingkun Yan:
Deep compressive macroscopic fluorescence lifetime imaging. 908-911 - Tamal Batabyal, Andrea Vaccari, Scott T. Acton:
NeuroBFD: Size-independent automated classification of neurons using conditional distributions of morphological features. 912-915 - Yiran Li, Stephen J. Lockett, Robert J. Kinders, Wojciech Czaja:
Detection of epithelial versus mesenchymal regions in 2D images of tumor biopsies using shearlets. 916-920 - Buda Bajic, Amit Suveer, Anindya Gupta, Ivana Pepic, Joakim Lindblad, Natasa Sladoje, Ida-Maria Sintorn:
Denoising of short exposure transmission electron microscopy images for ultrastructural enhancement. 921-925 - Zhongyu Li, Chaowei Fang, Shaoting Zhang:
Deep feature representation for the computational analytics of 3D neuronal morphology. 926-929 - Anca-Ioana Grapa, Raphaël Meunier, Laure Blanc-Féraud, Georgios Efthymiou, Sebastien Schaub, Agata Radwanska, Ellen Van Obberghen-Schilling, Xavier Descombes:
Classification of the fibronectin variants with curvelets. 930-933 - Peixian Liang, Jianxu Chen, Pavel A. Brodskiy, Qinfeng Wu, Yejia Zhang, Yizhe Zhang, Lin Yang, Jeremiah J. Zartman, Danny Z. Chen:
A new registration approach for dynamic analysis of calcium signals in organs. 934-937 - Qi Gao, Simon Eck, Jessica Matthias, Inn Chung, Jessica Engelhardt, Karsten Rippe, Karl Rohr:
Bayesian joint super-resolution, deconvolution, and denoising of images with Poisson-Gaussian noise. 938-942 - Yasmin M. Kassim, Noor M. Al-Shakarji, Emilia Asante, Anand Chandrasekhar, Kannappan Palaniappan:
Dissecting branchiomotor neuron circuits in zebrafish - toward high-throughput automated analysis of jaw movements. 943-947 - Nisha Ramesh, Tolga Tasdizen:
Semi-supervised learning for cell tracking in microscopy images. 948-951 - Sandeep Manandhar, Patrick Bouthemy, Erik Welf, Philippe Roudot, Charles Kervrann:
A sparse-to-dense method for 3D optical flow estimation in 3D light-microscopy image sequences. 952-956 - Christian Ritter, Andrea Imle, Ji Young Lee, Barbara Müller, Oliver T. Fackler, Ralf Bartenschlager, Karl Rohr:
Two-filter probabilistic data association for tracking of virus particles in fluorescence microscopy images. 957-960 - Yinxue Wang, Maria Ali, Yue Joseph Wang, Sarah Kucenas, Guoqiang Yu:
Detection and tracking of migrating oligodendrocyte progenitor cells from in vivo fluorescence time-lapse imaging data. 961-964 - Tim Becker, Juan C. Caicedo, Shantanu Singh, Markus Weckmann, Anne E. Carpenter:
Combining morphological and migration profiles of in vitro time-lapse data. 965-968 - Narita Pandhe, Balazs Rada, Shannon Quinn:
Generative spatiotemporal modeling of neutrophil behavior. 969-972 - Ihor Smal, Niels Galjart, Erik Meijering:
Accurate estimation of intracellular dynamics and underlying spatial structures using hierarchical trajectory smoothing. 973-976 - Astha Jaiswal, Konrad Beyer, Friedrich Frischknecht, Karl Rohr:
Multi-channel boosting and multi-scale localization-based tracking of dense malarial sporozoites. 977-980 - Mojtaba Sedigh Fazli, Stephen Andrew Vella, Silvia N. J. Moreno, Shannon Quinn:
Unsupervised discovery of toxoplasma gondii motility phenotypes. 981-984 - Islem Rekik, Gang Li, Weili Lin, Dinggang Shen:
Estimation of shape and growth brain network atlases for connectomic brain mapping in developing infants. 985-989 - Irene Kaltenmark, Lucile Brun, Guillaume Auzias, Julien Lefèvre, Christine Deruelle, Olivier Coulon:
Sparse description of the cortical surface pediatric development: A sulcal pits study. 990-993 - Min Jin Lee, Helen Hong, Kyu Won Shim, Yong Oock Kim:
Quantitative analysis and automatic classification of skull deformity based on combined two- and three-dimensional shape indices. 994-997 - Mohamad Ghanoum, Asem M. Ali, Salwa Elshazly, Islam Alkabbany, Aly A. Farag:
Automatic extraction of interdental gingiva regions for accurate statistical shape from shading-based reconstruction of human jaw. 998-1001 - Duc Duy Pham, Cosmin Adrian Morariu, Tobias Terheiden, Sebastian Warwas, Stefan Landgräber, Marcus Jäger, Josef Pauli:
Polar appearance models: A fully automatic approach for femoral model initialization in MRI. 1002-1005 - José Alonso Solís-Lemus, Brian Stramer, Greg G. Slabaugh, Constantino Carlos Reyes-Aldasoro:
Shape analysis and tracking of migrating macrophages. 1006-1009 - James Fishbaugh, Laura Pascal, Luke Fischer, Tung Nguyen, Celso Boen, Joao Goncalves, Guido Gerig, Beatriz Paniagua:
Estimating shape correspondence for populations of objects with complex topology. 1010-1013 - Sungmin Hong, James Fishbaugh, Guido Gerig:
4D continuous medial representation by geodesic shape regression. 1014-1017 - Andres Coila, Gabriela Torres, Julien Rouyer, Sara Aristizabal, Matthew W. Urban, Roberto J. Lavarello:
Recent developments in spectral-based ultrasonic tissue characterization. 1018-1021 - Ke Yan, Le Lu, Ronald M. Summers:
Unsupervised body part regression via spatially self-ordering convolutional neural networks. 1022-1025 - Zhou Fang, Howan Leung, Chiu-sing Choy:
Spatial temporal GRU convnets for vision-based real time epileptic seizure detection. 1026-1029 - Viktor Wegmayr, Giacomo Giuliari, Stefan Holdener, Joachim M. Buhmann:
Data-driven fiber tractography with neural networks. 1030-1033 - Haotian Xu, Ming Dong, Yasuo Nakai, Eishi Asano, Jeong-Won Jeong:
Automatic detection of eloquent axonal pathways in diffusion tractography using intracanial electrical stimulation mapping and convolutional neural networks. 1034-1037 - Ali Madani, Mehdi Moradi, Alexandros Karargyris, Tanveer F. Syeda-Mahmood:
Semi-supervised learning with generative adversarial networks for chest X-ray classification with ability of data domain adaptation. 1038-1042 - Fangfei Ge, Hanbo Chen, Tuo Zhang, Xianqiao Wang, Lin Yuan, Xintao Hu, Lei Guo, Tianming Liu:
A novel framework for analyzing cortical folding patterns based on sulcal baselines and gyral crestlines. 1043-1047 - Changqing Zhang, Ehsan Adeli, Zhengwang Wu, Gang Li, Weili Lin, Dinggang Shen:
Infant brain development prediction with latent partial multi-view representation learning. 1048-1051 - Yannick Suter, Christian Rummel, Roland Wiest, Mauricio Reyes:
Fast and uncertainty-aware cerebral cortex morphometry estimation using random forest regression. 1052-1055 - Zhengwang Wu, Gang Li, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen:
Construction of spatiotemporal neonatal cortical surface atlases using a large-scale dataset. 1056-1059 - Dakai Jin, Ziyue Xu, Adam P. Harrison, Daniel J. Mollura:
White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections. 1060-1064 - Michael Ebner, Marc Modat, Sebastiano Ferraris, Sébastien Ourselin, Tom Vercauteren:
Forward-backward splitting in deformable image registration: A demons approach. 1065-1069 - Yipeng Hu, Marc Modat, Eli Gibson, Nooshin Ghavami, Ester Bonmati, Caroline M. Moore, Mark Emberton, J. Alison Noble, Dean C. Barratt, Tom Vercauteren:
Label-driven weakly-supervised learning for multimodal deformarle image registration. 1070-1074 - Hongming Li, Yong Fan:
Non-rigid image registration using self-supervised fully convolutional networks without training data. 1075-1078 - Miguel Amável Pinheiro, Jan Kybic:
Incremental B-spline deformation model for geometric graph matching. 1079-1082 - Ke Zeng, Aristeidis Sotiras, Christos Davatzikos:
Statistically-constrained robust diffeomorphic registration. 1083-1087 - Zih Huei Wang, Geet Lahoti, Kan Wang, Shizhen Liu, Chuck Zhang, Ben Wang, Chien-Wei Wu, Mani Vannan, Zhen Qian:
Prediction of paravalvular leak post transcatheter aortic valve replacement using a convolutional neural network. 1088-1091 - Jiamin Liu, Jinzheng Cai, Karthik Chellamuthu, Mohammadhadi Bagheri, Le Lu, Ronald M. Summers:
Cascaded coarse-to-fine convolutional neural networks for pericardial effusion localization and segmentation on CT scans. 1092-1095 - Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Jacob Goldberger, Hayit Greenspan:
Anatomical data augmentation for CNN based pixel-wise classification. 1096-1099 - Ling Zhang, Vissagan Gopalakrishnan, Le Lu, Ronald M. Summers, Joel Moss, Jianhua Yao:
Self-learning to detect and segment cysts in lung CT images without manual annotation. 1100-1103 - Yang Gao, Jeff M. Phillips, Yan Zheng, Renqiang Min, P. Thomas Fletcher, Guido Gerig:
Fully convolutional structured LSTM networks for joint 4D medical image segmentation. 1104-1108 - Botong Wu, Zhen Zhou, Jianwei Wang, Yizhou Wang:
Joint learning for pulmonary nodule segmentation, attributes and malignancy prediction. 1109-1113 - Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto A. Lotufo:
Silver standard masks for data augmentation applied to deep-learning-based skull-stripping. 1114-1117 - Christian Lucas, André Kemmling, Amir Madany Mamlouk, Mattias P. Heinrich:
Multi-scale neural network for automatic segmentation of ischemic strokes on acute perfusion images. 1118-1121 - Mahsa Shakeri, Imad S. Nahle, Eric Finley, Samuel Kadoury:
Inter-vertebral disk modelling from pairs of segmented vertebral models using trainable pre-processing networks. 1122-1125 - Sheng Chen, Zhe Wang, Jianping Shi, Bin Liu, Nenghai Yu:
A multi-task framework with feature passing module for skin lesion classification and segmentation. 1126-1129 - Devinder Kumar, Vlado Menkovski, Graham W. Taylor, Alexander Wong:
Understanding anatomy classification through attentive response maps. 1130-1133 - Ibrahim Almakky, Vasile Palade, Yih-Ling Hedley, Jianhua Yang:
A stacked deep autoencoder model for biomedical figure classification. 1134-1138 - Esther Puyol-Antón, Bram Ruijsink, Wenjia Bai, Hélène Langet, Mathieu De Craene, Julia A. Schnabel, Paolo Piro, Andrew P. King, Matthew Sinclair:
Fully automated myocardial strain estimation from cine MRI using convolutional neural networks. 1139-1143 - Shengyao Guo, Eric Ho, Yalun Zheng, Qiming Chen, Vivian Meng, John Cao, Si Wu, Leanne Chukoskie, Pamela C. Cosman:
Using face and object detection to quantify looks during social interactions. 1144-1148 - Oscar Bauer, Thomas Bourgeron, Jean-Christophe Olivo-Marin, Elodie Ey, Fabrice de Chaumont:
Unsupervised analysis of mouse social behaviour reveals how hyperactivity impacts social aspects in a mouse model of autism. 1149-1152 - Jian Wu, Su Ruan, Thomas R. Mazur, Nalini Daniel, Hilary Lashmett, Laura Ochoa, Imran Zoberi, Chunfeng Lian, H. Michael Gach, Sasa Mutic, Maria Thomas, Mark A. Anastasio, Hua Li:
Heart motion tracking on cine MRI based on a deep Boltzmann machine-driven level set method. 1153-1156 - Xiaoying Wang, Eva Cheng, Ian S. Burnett, Richardt H. Wilkinson, Margaret Lech:
Automatic tracking of multiple zebrafish larvae with resilience against segmentation errors. 1157-1160 - Daisuke Yamada, Alperen Degirmenci, Robert D. Howe:
Ultrasound imaging for identifying dynamics of soft tissue. 1161-1165 - Mohamad Hourani, Adrian Basarab, Denis Kouame, Jean-Marc Girault, Jean-Yves Tourneret:
Restoration of ultrasonic images using non-linear system identification and deconvolution. 1166-1169 - Pooneh R. Tabrizi, Awais Mansoor, Juan J. Cerrolaza, James Jago, Marius George Linguraru:
Automatic kidney segmentation in 3D pediatric ultrasound images using deep neural networks and weighted fuzzy active shape model. 1170-1173 - Francis Tom, Debdoot Sheet:
Simulating patho-realistic ultrasound images using deep generative networks with adversarial learning. 1174-1177 - Mahdi Bayat, Azra Alizad, Mostafa Fatemi:
Multi-rate higher order singular value decomposition for enhanced non-contrast ultrasound Doppler imaging of slow flow. 1178-1181 - Hossein Khodadadi, Amir G. Aghdam, Hassan Rivaz:
Direct strain estimation in ultrasound elastography using a novel dynamic programming approach. 1182-1186 - James Cunningham, Yi Zheng, Thyagarajan Subramanian, Mohamed Almekkawy:
Regularization methods for solving third-order volterra filter with improved convergence speed: In-vivo application. 1187-1190 - Ananya S. Dhawan, Jana Kosecka, Huzefa Rangwala, Siddhartha Sikdar:
An intuitive muscle-computer interface using ultrasound sensing and Markovian state transitions. 1191-1194 - Hasmila A. Omar, João S. Domingos, Arijit Patra, Ross Upton, Paul Leeson, J. Alison Noble:
Quantification of cardiac bull's-eye map based on principal strain analysis for myocardial wall motion assessment in stress echocardiography. 1195-1198 - E. Tsizin, Mordekhay Medvedovsky, K. A. Bronstein:
vibroEEG: Improved EEG source reconstruction by combined acoustic-electric imaging. 1199-1202 - Hatem Younes, Sandrine Voros, Jocelyne Troccaz:
Automatic needle localization in 3D ultrasound images for brachytherapy. 1203-1207 - Saiprasad Ravishankar, Anish Lahiri, Cameron Blocker, Jeffrey A. Fessler:
Deep dictionary-transform learning for image reconstruction. 1208-1212 - Ukash Nakarmi, Konstantinos Slavakis, Leslie Ying:
MLS: Joint manifold-learning and sparsity-aware framework for highly accelerated dynamic magnetic resonance imaging. 1213-1216 - Yuankai Huo, Zhoubing Xu, Shunxing Bao, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Adversarial synthesis learning enables segmentation without target modality ground truth. 1217-1220 - Chaowei Tan, Liang Zhao, Zhennan Yan, Kang Li, Dimitris N. Metaxas, Yiqiang Zhan:
Deep multi-task and task-specific feature learning network for robust shape preserved organ segmentation. 1221-1224 - Anton Böhm, Annekathrin Ucker, Tim Jager, Olaf Ronneberger, Thorsten Falk:
ISOODL: Instance segmentation of overlapping biological objects using deep learning. 1225-1229 - Zhihui Quo, Ling Zhang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Milan Sonka, Jianhua Yao:
Deep LOGISMOS: Deep learning graph-based 3D segmentation of pancreatic tumors on CT scans. 1230-1233 - Mengran Fan, Jens Rittscher:
Global probabilistic models for enhancing segmentation with convolutional networks. 1234-1238 - Thomas William Arthur Bolton, Younes Farouj, Silvia Obertino, Dimitri Van De Ville:
Graph slepians to strike a balance between local and global network interactions: Application to functional brain imaging. 1239-1243 - Debadatta Dash, Vinayak Abrol, Anil Kumar Sao, Bharat B. Biswal:
The model order limit: Deep sparse factorization for resting brain. 1244-1247 - Herwig Wendt, Patrice Abry, Philippe Ciuciu:
Spatially regularized wavelet leader scale-free analysis of fMRI data. 1248-1251 - Xiaoxiao Li, Nicha C. Dvornek, Xenophon Papademetris, Juntang Zhuang, Lawrence H. Staib, Pamela Ventola, James S. Duncan:
2-Channel convolutional 3D deep neural network (2CC3D) for fMRI analysis: ASD classification and feature learning. 1252-1255 - Sukrit Gupta, Jagath C. Rajapakse:
Nodal degree distributions of resting-state functional brain modules. 1256-1259 - Yue Hu, Xiaohan Liu, Mathews Jacob:
Adaptive structured low rank algorithm for MR image recovery. 1260-1263 - Manu Ghulyani, Muthuvel Arigovindan:
Fast total variation based image restoration under mixed Poisson-Gaussian noise model. 1264-1267 - Thanh-An Pham, Emmanuel Soubies, JooWon Lim, Alexandre Goy, Ferréol Soulez, Demetri Psaltis, Michael Unser:
Phaseless diffraction tomography with regularized beam propagation. 1268-1271 - Sunrita Poddar, Mathews Jacob:
Recovery of point clouds on surfaces: Application to image reconstruction. 1272-1275 - Abib Alimi, Yves Usson, Pierre-Simon Jouk, Gabrielle Michalowicz, Rachid Deriche:
An analytical fiber ODF reconstruction in 3D polarized light imaging. 1276-1279 - Debadatta Dash, Vinayak Abrol, Anil Kumar Sao, Bharat B. Biswal:
Spatial sparsification and low rank projection for fast analysis of multi-subject resting state fMRI data. 1280-1283 - Wonsang You, Feng Xu, Catherine Limperopoulos:
Linear convolution model of fetal circulation for hemodynamic responses to maternal hyperoxia using in utero functional MRI. 1284-1287 - Dustin Scheinost, John A. Onofrey, Soo Hyun Kwon, Sarah N. Cross, Gordon Sze, Laura R. Ment, Xenophon Papademetris:
A fetal fMRI specific motion correction algorithm using 2nd order edge features. 1288-1292 - Florian Griese, Peter Ludewig, Florian Thieben, Nadine Gdaniec, Tobias Knopp:
Imaging and moving magnetic beads with magnetic particle imaging for targeted drug delivery. 1293-1296 - Karim Makki, Bhushan Borotikar, Marc Garetier, Sylvain Brochard, Douraied Ben Salem, François Rousseau:
High-resolution temporal reconstruction of ankle joint from dynamic MRI. 1297-1300 - Jianhua Yao, Robert Zhu, Pomi Yun, Nathan Hsieh, William Kovacs, Andrew E. Arai, Ami Mankodi, Ronald M. Summers, A. Reghan Foley, Carsten G. Bönnemann:
Tracking diaphragm and chest wall movement on cine-MRI. 1301-1304 - Everson Sarmiento, Jean Pico, Fabio Martínez:
Cardiac disease prediction from spatio-temporal motion patterns in cine-MRI. 1305-1308 - Yaqiong Chai, Jieshen Chen, Cristina M. Galarza, Maayke A. Sluman, Botian Xu, Chau Q. Vu, Edo Richard, Barbara Mulder, Benita Tamrazi, Natasha Leporé, Henri J. M. M. Mutsaerts, John C. Wood:
Cerebral blood flow and predictors of white matter lesions in adults with Tetralogy of Fallot. 1309-1312 - Ran Wang, Yilin Song, Yao Wang, Jonathan Viventi:
Long-term prediction of μECOG signals with a spatio-temporal pyramid of adversarial convolutional networks. 1313-1317 - Mohammed Alawad, Linwei Wang:
Leveraging simulation data for learning a patient-specific model to localize the origin of ventricular activation. 1318-1322 - Laurent Risser, Soléakhéna Ken, Sandra Lebreton, Éloïse Grossiord, Salim Kanoun, François Malgouyres:
Regularized multi-label fast marching and application to whole-body image segmentation. 1323-1326 - Tejas Sudharshan Mathai, John M. Galeotti, Kira L. Lathrop:
Visualizing the palisades of Vogt: Limbal registration by surface segmentation. 1327-1331 - Eugene Vorontsov, An Tang, Chris Pal, Samuel Kadoury:
Liver lesion segmentation informed by joint liver segmentation. 1332-1335 - Yan Wang, Biting Yu, Lei Wang, Chen Zu, Yong Luo, Xi Wu, Zhipeng Yang, Jiliu Zhou, Luping Zhou:
Tumor segmentation via multi-modality joint dictionary learning. 1336-1339 - Hongzhi Wang, Prasanth Prasanna, Tanveer F. Syeda-Mahmood:
Rapid annotation of 3D medical imaging datasets using registration-based interpolation and adaptive slice selection. 1340-1343 - Roberto Souza, Oeslle Lucena, Mariana P. Bento, Julia Garrafa, Simone Appenzeller, Letícia Rittner, Roberto A. Lotufo, Richard Frayne:
Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: A skull stripping case study. 1344-1347 - Renzo Phellan, Thomas Lindner, Michael Helle, Alexandre X. Falcão, Nils Daniel Forkert:
Robust cerebrovascular segmentation in 4D ASL MRA images. 1348-1351 - Vy Bui, Li-Yueh Hsu, Lin-Ching Chang, Marcus Y. Chen:
An automatic random walk based method for 3D segmentation of the heart in cardiac computed tomography images. 1352-1355 - Min Tang, Zichen Zhang, Dana Cobzas, Martin Jägersand, Jacob L. Jaremko:
Segmentation-by-detection: A cascade network for volumetric medical image segmentation. 1356-1359 - Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof, Michael Gadermayr:
Stain independent segmentation of whole slide images: A case study in renal histology. 1360-1364 - Heba Kandil, Ahmed Soliman, Luay Fraiwan, Ahmed Shalaby, Ali H. Mahmoud, Ahmed ElTanboly, Adel Elmaghraby, Guruprasad A. Giridharan, Ayman El-Baz:
A novel MRA framework based on integrated global and local analysis for accurate segmentation of the cerebral vascular system. 1365-1368 - Daniel Felipe Gonzalez Obando, Jean-Christophe Olivo-Marin, Vannary Meas-Yedid:
Morphological operations on polygons using straight skeletons for digital pathology. 1369-1372 - Tsachi Hershkovich, Tammy Riklin-Raviv:
Model-dependent uncertainty estimation of medical image segmentation. 1373-1376 - Xiaowei Song, Suchita Bhinge, Raimi Quiton, Tülay Adali:
A two-level ICA approach reveals important differences in the female brain response to thermal pain. 1377-1380 - Omar Dekhil, Hassan Hajjdiab, Babajide O. Ayinde, Ahmed Shalaby, Andy Switala, Dawn Sosnin, Aliaa Elshamekh, Mohammed Ghazal, Robert Keynton, Gregory Barnes, Ayman El-Baz:
Using resting state functional MRI to build a personalized autism diagnosis system. 1381-1385 - Emily L. Dennis, Elisabeth A. Wilde, Mary R. Newsome, Randall S. Scheibel, Maya Troyanskaya, Carmen Velez, Benjamin S. C. Wade, Ann Marie Drennon, Gerald E. York, Erin D. Bigler, Tracy J. Abildskov, Brian A. Taylor, Carlos A. Jaramillo, Blessen Eapen, Heather Belanger, Vikash Gupta, Rajendra A. Morey, Courtney Haswell, Harvey S. Levin, Sidney R. Hinds, William C. Walker, Paul M. Thompson, David F. Tate:
ENIGMA military brain injury: A coordinated meta-analysis of diffusion MRI from multiple cohorts. 1386-1389 - Samar S. M. Elsheikh, Emile R. Chimusa, Nicola J. Mulder, Alessandro Crimi:
Relating connectivity changes in brain networks to genetic information in Alzheimer patients. 1390-1393 - Upul Senanayake, Arcot Sowmya, Laughlin Dawes:
Deep fusion pipeline for mild cognitive impairment diagnosis. 1394-1997 - Ruoxuan Cui, Manhua Liu, Gang Li:
Longitudinal analysis for Alzheimer's disease diagnosis using RNN. 1398-1401 - Kai Liu, Hua Wang, Shannon L. Risacher, Andrew J. Saykin, Li Shen:
Multiple incomplete views clustering via non-negative matrix factorization with its application in Alzheimer's disease analysis. 1402-1405 - Jie Zhang, Yanshuai Tu, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang:
Multi-task sparse screening for predicting future clinical scores using longitudinal cortical thickness measures. 1406-1410 - Zhongwei Huang, Haijun Lei, Yujia Zhao, Feng Zhou, Jin Yan, Ahmed El-Azab, Baiying Lei:
Longitudinal and multi-modal data learning for Parkinson's disease diagnosis. 1411-1414 - Rongjie Liu, Chao Huang, Tengfei Li, Liuqing Yang, Hongtu Zhu:
Statistical disease mapping for heterogeneous neuroimaging studies. 1415-1418 - Atif Riaz, Muhammad Asad, S. M. Masudur Rahman Al-Arif, Eduardo Alonso, Danai Dima, Philip Corr, Greg G. Slabaugh:
Deep fMRI: AN end-to-end deep network for classification of fMRI data. 1419-1422 - Oscar J. Perdomo, Sebastian Otálora, Fabio A. González, Fabrice Mériaudeau, Henning Müller:
OCT-NET: A convolutional network for automatic classification of normal and diabetic macular edema using sd-oct volumes. 1423-1426 - Abhishek Vahadane, Ameya Joshi, Kiran Madan, Tathagato Rai Dastidar:
Detection of diabetic macular edema in optical coherence tomography scans using patch based deep learning. 1427-1430 - Ahmed ElTanboly, Mohammed Ghazal, Ashraf Khalil, Ahmed Shalaby, Ali Mahmoud, Andy Switala, Magdi El-Azab, Shlomit Schaal, Ayman El-Baz:
An integrated framework for automatic clinical assessment of diabetic retinopathy grade using spectral domain OCT images. 1431-1435 - Ruwan B. Tennakoon, Amirali K. Gostar, Reza Hoseinnezhad, Alireza Bab-Hadiashar:
Retinal fluid segmentation in OCT images using adversarial loss based convolutional neural networks. 1436-1440 - Yihao Liu, Aaron Carass, Sharon D. Solomon, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince:
Multi-layer fast level set segmentation for macular OCT. 1445-1448 - Dwarikanath Mahapatra, Bhavna Josephine Antony, Suman Sedai, Rahil Garnavi:
Deformable medical image registration using generative adversarial networks. 1449-1453 - Abhay Shah, Stephanie Lynch, Meindert Niemeijer, Ryan Amelon, Warren Clarida, James C. Folk, Stephen R. Russell, Xiaodong Wu, Michael D. Abràmoff:
Susceptibility to misdiagnosis of adversarial images by deep learning based retinal image analysis algorithms. 1454-1457 - Jianyang Xie, Yitian Zhao, Yalin Zheng, Pan Su, Jiang Liu, Yongtian Wang:
Retinal vascular topology estimation via dominant sets clustering. 1458-1462 - A. Guerre, Mathieu Lamard, Pierre-Henri Conze, Béatrice Cochener, Gwenolé Quellec:
Optical flow estimation in ocular endoscopy videos using flownet on simulated endoscopy data. 1463-1466 - Shahrukh Athar, Abhishek Vahadane, Ameya Joshi, Tathagato Rai Dastidar:
Weakly supervised fluid filled region localization in retinal OCT scans. 1467-1470 - Prajna Ramesh Desai, Ilker Hacihaliloglu:
Enhancement and automated segmentation of ultrasound knee cartilage for early diagnosis of knee osteoarthritis. 1471-1474 - Yifan Cai, Harshita Sharma, Pierre Chatelain, J. Alison Noble:
SonoEyeNet: Standardized fetal ultrasound plane detection informed by eye tracking. 1475-1478 - Na Wang, Yi Wang, Huifang Wang, Baiying Lei, Tianfu Wang, Dong Ni:
Auto-context fully convolutional network for levator hiatus segmentation in ultrasoudn images. 1479-1482 - B. Anila Satheesh, Arun Kumar Thittai:
A method of ultrasound simulation from patient-specific CT image data: A preliminary simulation study. 1483-1486 - Qiang Zheng, Gregory Tasian, Yong Fan:
Transfer learning for diagnosis of congenital abnormalities of the kidney and urinary tract in children based on ultrasound imaging data. 1487-1490 - Hoda S. Hashemi, Stefanie Fallone, Mathieu Boily, Anna Towers, Robert D. Kilgour, Hassan Rivaz:
Ultrasound elastography of breast cancer-related lymphedema. 1491-1495 - AliArshad Kothawala, Divya Baskaran, Kavitha Arunachalam, Arun Kumar Thittai:
A time domain method to monitor temperature in microwave hyperthermia using ultrasound attenuation. 1496-1499 - Thomas Hastings Greer, Samuel Gerber, Marc Niethammer, Roland Kwitt, Matt McCormick, Deepak Roy Chittajallu, Neal Siekierski, Matthew Oetgen, Kevin Cleary, Stephen R. Aylward:
Scoliosis screening and monitoring using self contained ultrasound and neural networks. 1500-1503 - Allen Lu, Ehsan Dehghan, Gopalkrishna Veni, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Detecting anomalies from echocardiography using multi-view regression of clinical measurements. 1504-1508 - Zichen Zhang, Min Tang, Dana Cobzas, Dornoosh Zonoobi, Martin Jägersand, Jacob L. Jaremko:
End-to-end detection-segmentation network with ROI convolution. 1509-1512 - Ravi Teja Narra, Nitin Singhal, Nikhil S. Narayan, G. A. Ramaraju:
Automated ovarian volume quantification in transvaginal ultrasound. 1513-1516 - Feng Jiang, Dong Ni, Siping Chen, Yuan Yao, Minh Hung Le, Tianfu Wang, Baiying Lei:
Placental maturity grading via hybrid descriptors based on fisher vector. 1517-1520 - Huizhuo Yuan, Jinzhu Jia, Zhanxing Zhu:
SIPID: A deep learning framework for sinogram interpolation and image denoising in low-dose CT reconstruction. 1521-1524 - Arun Govindaiah, Md. Akter Hussain, Roland Theodore Smith, Alauddin Bhuiyan:
Deep convolutional neural network based screening and assessment of age-related macular degeneration from fundus images. 1525-1528 - Nova F. Smedley, William Hsu:
Using deep neural networks for radiogenomic analysis. 1529-1533 - Marzieh Haghighi, Simon K. Warfield, Sila Kurugol:
Automatic renal segmentation in DCE-MRI using convolutional neural networks. 1534-1537 - Hansang Lee, Helen Hong, Junmo Kim:
BCD-NET: A novel method for cartilage segmentation of knee MRI via deep segmentation networks with bone-cartilage-complex modeling. 1538-1541 - Chen Zu, Yan Wang, Luping Zhou, Lei Wang, Daoqiang Zhang:
Multi-modality feature selection with adaptive similarity learning for classification of Alzheimer's disease. 1542-1545 - Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini:
Alzheimer's disease diagnosis based on anatomically stratified texture analysis of the hippocampus in structural MRI. 1546-1549 - Shen Lu, Yong Xia, Weidong Cai, David Dagan Feng, Michael J. Fulham:
Cross-cohort dementia identification using transfer learning with FDG-PET imaging. 1550-1554 - Jianfeng Wu, Jie Zhang, Jie Shi, Kewei Chen, Richard J. Caselli, Eric M. Reiman, Yalin Wang:
Hippocampus morphometry study on pathology-confirmed Alzheimer's disease patients with surface multivariate morphometry statistics. 1555-1559 - Erdem Varol, Aristeidis Sotiras, Christos Davatzikos:
Regionally discriminative multivariate statistical mapping. 1560-1563 - Sarun Gulyanon, Liping He, W. Dan Tracey, Gavriil Tsechpenakis:
Neurite tracking in time-lapse calcium images using MRF-modeled pictorial structures. 1564-1568 - Eitan Levin, Tamir Bendory, Nicolas Boumal, Joe Kileel, Amit Singer:
3D ab initio modeling in cryo-EM by autocorrelation analysis. 1569-1573 - Mohammad Rami Koujan, Ahsan R. Akram, Paul McCool, Jody Westerfeld, David Wilson, Kevin Dhaliwal, Steve McLaughlin, Antonios Perperidis:
Multi-class classification of pulmonary endomicroscopic images. 1574-1577 - Mark Hernandez, Adam Brewster, Larry Thul, Brian A. Telfer, Arjun Majumdar, Heejin Choi, Taeyun Ku, Kwanghun Chung, Laura J. Brattain:
Learning-based long-range axon tracing in dense scenes. 1578-1582 - Thyagarajan Radhakrishnan, K. Krishna Harsha Reddy, Suyash P. Awate:
A novel Bayesian graphical model and perfect Monte Carlo EM algorithm for automated colocalization estimation in multichannel fluorescence microscopy. 1583-1587
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