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ORCID16th ISBI 2019: Venice, Italy
- 16th IEEE International Symposium on Biomedical Imaging, ISBI 2019, Venice, Italy, April 8-11, 2019. IEEE 2019, ISBN 978-1-5386-3641-1
- Kristofer Pomiecko, Carson Sestili, Kate Fissell, Sudhir K. Pathak, David O. Okonkwo, Walter Schneider:
3D Convolutional Neural Network Segmentation of White Matter Tract Masks from MR Diffusion Anisotropy Maps. 1-5 - Ahmed Harouni, Hongzhi Wang, Tanveer F. Syeda-Mahmood, David Beymer:
Deep Network Anatomy Segmentation with Limited Annotations using Auxiliary Labels. 6-10 - Yue Zhang, Jiong Wu
, Wanli Chen, Yifan Chen, Xiaoying Tang:
Prostate Segmentation Using Z-Net. 11-14 - Thorbjørn Louring Koch, Mathias Perslev, Christian Igel, Sami Sebastian Brandt:
Accurate Segmentation of Dental Panoramic Radiographs with U-NETS. 15-19 - Li Liu, Da Chen, Laurent D. Cohen, Huazhong Shu, Michel Pâques:
Vessel Extraction Using Crossing-Adaptive Minimal Path Model With Anisotropic Enhancement And Curvature Constraint. 20-23 - Xiaoyuan Guo, Fusheng Wang, George Teodoro, Alton B. Farris, Jun Kong:
Liver Steatosis Segmentation With Deep Learning Methods. 24-27 - Jingxin Liu, Libo Liu, Bolei Xu, Xianxu Hou, Bozhi Liu, Xin Chen, Linlin Shen, Guoping Qiu:
Bladder Cancer Multi-Class Segmentation in MRI With Pyramid-In-Pyramid Network. 28-31 - Yitian Zhou, Laurent Launay, Julien Bert, Renaud de Crevoisier, Oscar Acosta:
Optimized Multi-Atlas Prostate Segmentation From 3D CT Images. 32-35 - Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Frances T. Sheehan, Sylvain Brochard:
Deep convolutional encoder-decoders for deltoid segmentation using healthy versus pathological learning transferability. 36-39 - Alexander Tack, Stefan Zachow:
Accurate Automated Volumetry of Cartilage of the Knee Using Convolutional Neural Networks: Data From the Osteoarthritis Initiative. 40-43 - Zhaoyang Xu, Faranak Sobhani, Carlos Fernández Moro, Qianni Zhang:
US-Net for Robust and Efficient Nuclei Instance Segmentation. 44-47 - Ibraheem Al-Dhamari, Sabine Bauer, Eva Keller, Dietrich Paulus:
Automatic Detection of Cervical Spine Ligaments Origin and Insertion Points. 48-51 - Matvey Ezhov, Adel Zakirov, Maxim Gusarev:
Coarse-to-fine volumetric segmentation of teeth in cone-beam ct. 52-56 - Suraj Mishra, Peixian Liang, Adam Czajka, Danny Z. Chen, Xiaobo Sharon Hu:
CC-NET: Image Complexity Guided Network Compression for Biomedical Image Segmentation. 57-60 - Jian Kang, Gihan Samarasinghe, Upul Senanayake, Sailesh Conjeti, Arcot Sowmya:
Deep Learning for Volumetric Segmentation in Spatio-Temporal Data: Application to Segmentation of Prostate in DCE-MRI. 61-65 - Deepak Roy Chittajallu, Bo Dong, Paul Tunison, Roddy Collins, Katerina O. Wells, James W. Fleshman, Ganesh Sankaranarayanan, Steven D. Schwaitzberg, Lora Cavuoto, Andinet Enquobahrie:
XAI-CBIR: Explainable AI System for Content based Retrieval of Video Frames from Minimally Invasive Surgery Videos. 66-69 - Yu Tian, Leonardo Z. C. T. Pu, Rajvinder Singh, Alastair D. Burt, Gustavo Carneiro:
One-Stage Five-Class Polyp Detection and Classification. 70-73 - Roger Fonollá, Fons van der Sommen, Ramon-Michel Schreuder, Erik J. Schoon, Peter H. N. de With:
Multi-Modal Classification of Polyp Malignancy using CNN Features with Balanced Class Augmentation. 74-78 - He Zheng, Hanbo Chen, Junzhou Huang, Xuzhi Li, Xiao Han, Jianhua Yao:
Polyp Tracking in Video Colonoscopy Using Optical Flow With an On-The-Fly Trained CNN. 79-82 - Gil Pinheiro, Paulo Jorge Simães Coelho, Mariana Mourão, Marta Salgado, Hélder P. Oliveira, António Cunha:
Small Bowel Mucosa Segmentation for Frame Characterization in Videos of Endoscopic Capsules. 83-86 - Adrian Galdran, Pedro Costa, Aurélio Campilho:
Real-Time Informative Laryngoscopic Frame Classification with Pre-Trained Convolutional Neural Networks. 87-90 - Sharib Ali, Jens Rittscher:
Efficient Video Indexing for Monitoring Disease Activity and Progression in the Upper Gastrointestinal Tract. 91-95 - Vinu Sankar Sadasivan, Chandra Sekhar Seelamantula:
High Accuracy Patch-Level Classification of Wireless Capsule Endoscopy Images Using a Convolutional Neural Network. 96-99 - Changhoo Lee, Junki Min, Jaemyung Cha, Seungkyu Lee:
Feature Space Extrapolation for Ulcer Classification in Wireless Capsule Endoscopy Images. 100-103 - Xiaohan Xing, Yixuan Yuan, Xiao Jia, Max Q.-H. Meng:
A Saliency-Aware Hybrid Dense Network for Bleeding Detection in Wireless Capsule Endoscopy Images. 104-107 - Xu Gao, Weining Shen, Chee-Ming Ting, Steven C. Cramer, Ramesh Srinivasan, Hernando C. Ombao:
Estimating Brain Connectivity Using Copula Gaussian Graphical Models. 108-112 - Moo K. Chung, Shih-Gu Huang, Andrey Gritsenko, Li Shen, Hyekyoung Lee:
Statistical Inference on the Number of Cycles in Brain Networks. 113-116 - Xuejiao Dou, Hongxiang Yao, Dan Jin, Feng Feng, Pan Wang, Bo Zhou, Bing Liu, Zhengyi Yang, Ningyu An, Xi Zhang, Yong Liu:
Characterizing White Matter Connectivity in Alzheimer's Disease and Mild Cognitive Impairment: Automated Fiber Quantification. 117-121 - Alessandro Crimi, E. Kara:
Spreading Model for Patients with Parkinson's Disease Based on Connectivity Differences. 122-125 - Emily L. Dennis, Ananya Singh, Conor K. Corbin, Neda Jahanshad, Tiffany C. Ho, Lucy S. King, Lauren R. Borchers, Kathryn L. Humphreys, Paul M. Thompson, Ian H. Gotlib:
Associations Between Maternal Depression and Infant Fronto-Limbic Connectivity. 126-130 - Tomasz Pieciak, Fabian Bogusz, Antonio Tristán-Vega, Rodrigo de Luis García, Santiago Aja-Fernández:
Single-Shell Return-to-the-Origin Probability Diffusion Mri Measure Under a Non-Stationary Rician Distributed Noise. 131-134 - Giulia Bertò, Paolo Avesani, Franco Pestilli, Daniel Bullock, Bradley Caron, Emanuele Olivetti:
Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle Segmentation. 135-138 - Yoshitaka Masutani:
Noise Level Matching Improves Robustness of Diffusion Mri Parameter Inference by Synthetic Q-Space Learning. 139-142 - Omar D. Domingues, Philippe Ciuciu, Daria La Rocca, Patrice Abry, Herwig Wendt:
Multifractal Analysis for Cumulant-Based Epileptic Seizure Detection in Eeg Time Series. 143-146 - Silvia Francesca Storti, Emanuela Formaggio, Lucio Pastena, Massimo Melucci, Lucio Ricciardi, Fabio Faralli, R. Gagliardi, Gloria Menegaz:
Expertise-Related Global Efficiency of Functional Brain Networks in Professional and new Divers Under Simulated Deep-Water. 147-150 - Julie Coloigner, Anne-Claire Binter, Elise Bannier, Jean-Christophe Ferré, Cécile Chevrier, Christian Barillot, Fabienne Pelé:
Effect of Prenatal Organic Solvent Exposure on Structural Connectivity at Childhood. 151-154 - Patryk Filipiak, Rutger Fick, Alexandra Petiet, Mathieu D. Santin, Anne-Charlotte Philippe, Stéphane Lehéricy, Rachid Deriche, Demian Wassermann:
Coarse-Grained Spatiotemporal Acquisition Design for Diffusion MRI. 155-158 - Anjali Tarun, David Abramian, Hamid Behjat, Dimitri Van De Ville:
Graph Spectral Analysis of Voxel-Wise Brain Graphs from Diffusion-Weighted Mri. 159-163 - Li Wang, Lu Zhang, Dajiang Zhu:
Accessing Latent Connectome of Mild Cognitive Impairment via Discriminant Structure Learning. 164-168 - Lei Guo, Haoteng Tang, Qi Wang, Emily L. Dennis, Dajiang Zhu, Heng Huang, Olusola Ajilore, Alex D. Leow, Liang Zhan:
Identifying Configurational Abnormalities in Alzheimer'S Disease Progression Using Multi-View Structure Connectome. 169-172 - Talia M. Nir, Sophia I. Thomopoulos, Julio E. Villalon-Reina, Artemis Zavaliangos-Petropulu, Emily L. Dennis, Robert I. Reid, Matt A. Bernstein, Bret J. Borowski, Clifford R. Jack, Michael W. Weiner, Neda Jahanshad, Paul M. Thompson:
Multi-Shell Diffusion MRI Measures of Brain Aging: A Preliminary Comparison From ADNI3. 173-177 - Andrea Vázquez, Narciso López-López, Nicole Labra, Miguel E. Figueroa, Cyril Poupon, Jean-François Mangin, Cecilia Hernández, Pamela Guevara:
Parallel Optimization of Fiber Bundle Segmentation for Massive Tractography Datasets. 178-181 - Lorenza Brusini, Federica Cruciani, Ilaria Boscolo Galazzo, Alberto Galbusera, Mirta Borin, Giovanna Paolone, Giovanni Diana, Mario Buffelli, Alessandro Gozzi, Gloria Menegaz:
Can Single Shell Diffusion MRI Detect Synaptic Plasticity in Mice? 182-185 - Vishwesh Nath, Kurt G. Schilling, Samuel Remedios, Roza G. Bayrak, Yurui Gao, Justin A. Blaber, Yuankai Huo, Bennett A. Landman, Adam W. Anderson:
Learning 3D White Matter Microstructure from 2D Histology. 186-190 - Youyi Song, Jing Qin, Baiying Lei, Shengfeng He, Kup-Sze Choi:
JOint Shape Matching for Overlapping Cytoplasm Segmentation in Cervical Smear Images. 191-194 - Kévin Giulietti, Guillaume Lavisse, Aurélie Charazac, Stephan Clavel, Frédéric Bost, Xavier Descombes:
An Adaptative Threshold Operator Taking Shape into Account: Application to Mitochondrial Network Segmentation. 195-198 - Birgit Möller, Katharina Bürstenbinder:
Semi-Automatic Cell Segmentation from Noisy Image Data for Quantification of Microtubule Organization on Single Cell Level. 199-203 - Ertunc Erdil, Ali Ozgur Argunsah, Tolga Tasdizen, Devrim Ünay, Müjdat Çetin:
Combining Nonparametric Spatial Context Priors With Nonparametric Shape Priors for Dendritic Spine Segmentation in 2-Photon Microscopy Images. 204-207 - Aarno Oskar Vuola, Saad Ullah Akram, Juho Kannala:
Mask-RCNN and U-Net Ensembled for Nuclei Segmentation. 208-212 - Greg M. Fleishman, Miaomiao Zhang, Nicholas J. Tustison, Isabel Espinosa-Medina, Yu Mu, Khaled Khairy, Misha B. Ahrens:
Deformable Registration of Whole Brain Zebrafish Microscopy Using an Implementation of the Flash Algorithm Within Ants. 213-217 - James Gornet, Kannan Umadevi Venkataraju, Arun Narasimhan, Nicholas L. Turner, Kisuk Lee, H. Sebastian Seung, Pavel Osten, Uygar Sümbül:
Reconstructing Neuronal Anatomy from Whole-Brain Images. 218-222 - Dennis Eschweiler, Thiago Vallin Spina, Rohan C. Choudhury, Elliot Meyerowitz, Alexandre Cunha, Johannes Stegmaier:
CNN-Based Preprocessing to Optimize Watershed-Based Cell Segmentation in 3D Confocal Microscopy Images. 223-227 - Heng Wang, Donghao Zhang, Yang Song, Siqi Liu, Yue Wang, Dagan Feng, Hanchuan Peng, Weidong Cai:
Segmenting Neuronal Structure in 3D Optical Microscope Images via Knowledge Distillation with Teacher-Student Network. 228-231 - Herman Bergwerf, Malik Bechakra, Ihor Smal, Joost L. M. Jongen, Erik Meijering:
Nerve Fiber Segmentation in Bright-Field Microscopy Images of Skin Biopsies Using Deep Learning. 232-235 - Filip Lux, Petr Matula:
DIC Image Segmentation of Dense Cell Populations by Combining Deep Learning and Watershed. 236-239 - Ha Tran Hong Phan, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim:
Optimizing Contextual Feature Learning for Mitosis Detection with Convolutional Recurrent Neural Networks. 240-243 - Kyle Luther, H. Sebastian Seung:
Learning Metric Graphs for Neuron Segmentation in Electron Microscopy Images. 244-248 - Santiago Silva, Boris A. Gutman, Eduardo Romero, Paul M. Thompson, André Altmann, Marco Lorenzi:
Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data. 270-274 - André Altmann, Janaina Mourão Miranda:
Evidence For Bias Of Genetic Ancestry In Resting State Functional MRI. 275-279 - Ke Yan, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Fine-Grained Lesion Annotation in CT Images With Knowledge Mined From Radiology Reports. 285-288 - Jie Yang, Thomas Vetterli, Pallavi P. Balte, R. Graham Barr, Andrew F. Laine, Elsa D. Angelini:
Unsupervised Domain Adaption With Adversarial Learning (UDAA) for Emphysema Subtyping on Cardiac CT Scans: The Mesa Study. 289-293 - P. M. Gordaliza, Juan José Vaquero, Sally Sharpe, Fergus Gleeson, Arrate Muñoz-Barrutia:
Tuberculosis Lesions in CT Images Inferred using 3D-CNN and Multi-Task Learning. 294-297 - Mario Zusag, Sujal R. Desai, Marcello Di Paolo, Thomas Semple, Anand Shah, Elsa D. Angelini:
SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A Novel Approach To Train Convolutional Neural Networks On Lung CT Scans Using Binary Labels Only. 298-302 - David Bermejo-Peláez, Yuka Okajima, George R. Washko, María-Jesus Ledesma-Carbayo, Raúl San José Estépar:
A SR-NET 3D-to-2D Architecture For Paraseptal Emphysema Segmentation. 303-306 - Laurène Donati, Emmanuel Soubies, Michael Unser:
Inner-Loop-Free Admm For Cryo-Em. 307-311 - Olivia Mariani, Kevin G. Chan, Alexander Ernst, Nadia Mercader, Michael Liebling:
Virtual High-Framerate Microscopy Of The Beating Heart Via Sorting Of Still Images. 312-315 - Emmanuel Soubies, Laure Blanc-Féraud, Sébastien Schaub, Ellen Van Obberghen-Schilling:
Improving 3D MA-TIRF Reconstruction with Deconvolution and Background Estimation. 316-320 - Thanh-An Pham, Emmanuel Soubies, Daniel Sage, Michael Unser:
Closed-Form Expression Of The Fourier Ring-Correlation For Single-Molecule Localization Microscopy. 321-324 - Hesam Mazidi, Eshan S. King, Oumeng Zhang, Arye Nehorai, Matthew D. Lew:
Dense Super-Resolution Imaging of Molecular Orientation Via Joint Sparse Basis Deconvolution and Spatial Pooling. 325-329 - Timothy L. Kline:
Segmenting New Image Acquisitions Without Labels. 330-333 - Iman Aganj, Bruce Fischl:
Expected Label Value Computation for Atlas-Based Image Segmentation. 334-338 - Peixian Liang, Jianxu Chen, Hao Zheng, Lin Yang, Yizhe Zhang, Danny Z. Chen:
Cascade Decoder: A Universal Decoding Method For Biomedical Image Segmentation. 339-342 - Anton Böhm, Maxim Tatarchenko, Thorsten Falk:
ISOOV2 DL - Semantic Instance Segmentation of Touching and Overlapping Objects. 343-347 - John A. Onofrey, Dana I. Casetti-Dinescu, Andreas D. Lauritzen, Saradwata Sarkar, Rajesh Venkataraman, Richard E. Fan, Geoffrey A. Sonn, Preston C. Sprenkle, Lawrence H. Staib, Xenophon Papademetris:
Generalizable Multi-Site Training and Testing Of Deep Neural Networks Using Image Normalization. 348-351 - Mengting Liu, Claude Lepage, Seun Jeon, Trevor Flynn, Shiyu Yuan, Justin Kim, Arthur W. Toga, A. James Barkovich, Duan Xu, Alan C. Evans, Hosung Kim:
A Skeleton and Deformation Based Model for Neonatal Pial Surface Reconstruction in Preterm Newborns. 352-355 - Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen:
Diagnosis Status Guided Brain Imaging Genetics Via Integrated Regression And Sparse Canonical Correlation Analysis. 356-359 - Zhe Sun, Ji Won Seo, Jee Yeon Lee, Min Young Kwak, Yehree Kim, Je Yeon Lee, Arthur W. Toga, Hong Ju Park, Hosung Kim:
Random Forest Regression Combined with MRI Brain Morphometry Predicts Surgical Outcome of Cochlear Implantation. 360-363 - Wouter M. Kouw, Marco Loog, Lambertus W. Bartels, Adriënne M. Mendrik:
Learning An Mr Acquisition-Invariant Representation Using Siamese Neural Networks. 364-367 - Hongming Li, Yong Fan:
Early Prediction Of Alzheimer's Disease Dementia Based On Baseline Hippocampal MRI and 1-Year Follow-Up Cognitive Measures Using Deep Recurrent Neural Networks. 368-371 - Adnan Ahmad, Srinjay Sarkar, Apurva Shah, Sonal Gore, Vani Santosh, Jitender Saini, Madhura Ingalhalikar:
Predictive and discriminative localization of IDH genotype in high grade gliomas using deep convolutional neural nets. 372-375 - Matteo Tonietto, Francesca Zanderigo, Alessandra Bertoldo, Davangere P. Devanand, J. John Mann, Benedetta Bodini, Bruno Stankoff:
Multicenter Validation Of Population-Based Input Function With Non-Linear Mixed Effect Modeling For Voxel-Wise Quantification Of [18F]Fdg Metabolic Rate. 376-379 - Masaru Ueda, Koichi Ito, Kai Wu, Kazunori Sato, Yasuyuki Taki, Hiroshi Fukuda, Takafumi Aoki:
An Age Estimation Method Using 3D-CNN From Brain MRI Images. 380-383 - Shiqi Li, Haijun Lei, Feng Zhou, Jamal Gardezi, Baiying Lei:
Longitudinal and Multi-modal Data Learning for Parkinson's Disease Diagnosis via Stacked Sparse Auto-encoder. 384-387 - Monami Banerjee, Rudrasis Chakraborty, Derek B. Archer, David E. Vaillancourt, Baba C. Vemuri:
DMR-CNN: A CNN Tailored For DMR Scans With Applications To PD Classification. 388-391 - Slim Karkar, Arnaud Gloaguen, Yann Le Guen, Morgane Pierre-Jean, Claire Dandine-Roulland, Edith Le Floch, Cathy Philippe, Arthur Tenenhaus, Vincent Frouin:
Multivariate Haplotype Analysis Of 96 Sulci Opening For 15, 612 UK-Biobank Sujects. 392-395 - Dingna Duan, Shunren Xia, Zhengwang Wu, Fan Wang, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Cortical Foldingprints for Infant Identification. 396-399 - Hassna Irzan, Helen O'Reilly, Sébastien Ourselin, Neil Marlow, Andrew Melbourne:
A Framework For Memory Performance Prediction From Brain Volume In Preterm-Born Adolescents. 400-403 - Juntang Zhuang, Nicha C. Dvornek, Qingyu Zhao, Xiaoxiao Li, Pamela Ventola, James S. Duncan:
Prediction of Treatment Outcome for Autism from Structure of the Brain Based On Sure Independence Screening. 404-408 - Tiantian Li, Zening Fu, Xia Liu, Shile Qi, Vince D. Calhoun, Jing Sui:
Multimodal Neuroimaging Patterns Associated with Social Responsiveness Impairment in Autism: A Replication Study. 409-413 - Tzu-An Song, Samadrita Roy Chowdhury, Fan Yang, Heidi I. L. Jacobs, Georges El Fakhri, Quanzheng Li, Keith A. Johnson, Joyita Dutta:
Graph Convolutional Neural Networks For Alzheimer's Disease Classification. 414-417 - Kuaikuai Duan, Rogers F. Silva, Jiayu Chen, Dongdong Lin, Vince D. Calhoun, Jingyu Liu:
Sparse Infomax Based on Hoyer Projection and its Application to Simulated Structural MRI and SNP Data. 418-421 - Jing Xia, Fan Wang, Zhengwang Wu, Li Wang, Yaping Wang, Caiming Zhang, Weili Lin, Dinggang Shen, Gang Li:
Charting Development-Based Joint Parcellation Maps Of Human and Macaque Brains During Infancy. 422-425 - Cindy Rolland, Jessica Lebenberg, François Leroy, Eric Moulton, Parvaneh Adibpour, Denis Rivière, Cyril Poupon, Lucie Hertz-Pannier, Jean-François Mangin, Ghislaine Dehaene-Lambertz, Jessica Dubois:
Exploring Microstructure Asymmetries in the Infant Brain Cortex: A Methodological Framework Combining Structural and Diffusion Mri. 426-429 - Xueying Chen, Rong Zhang, Pingkun Yan:
Feature Fusion Encoder Decoder Network for Automatic Liver Lesion Segmentation. 430-433 - Yixuan Yuan, Wenjian Qin, Xiaoqing Guo, Mark Buyyounouski, Steve Hancock, Bin Han, Lei Xing:
Prostate Segmentation with Encoder-Decoder Densely Connected Convolutional Network (Ed-Densenet). 434-437 - Yuchong Gu, Yaoming Lai, Peiliang Xie, Jun Wei, Yao Lu:
Multi-Scale Prediction Network for Lung Segmentation. 438-442 - Rahul Venkataramani, Hariharan Ravishankar, Saihareesh Anamandra:
Towards Continuous Domain Adaptation For Medical Imaging. 443-446 - Feng Jiang, Feng Zhou, Jing Qin, Tianfu Wang, Baiying Lei:
Decision-Augmented Generative Adversarial Network for Skin Lesion Segmentation. 447-450 - Ahmed H. Shahin, Karim Amer, Mustafa A. Elattar:
Deep Convolutional Encoder-Decoders with Aggregated Multi-Resolution Skip Connections for Skin Lesion Segmentation. 451-454 - Chaitanya Kaul, Suresh Manandhar, Nick E. Pears:
Focusnet: An Attention-Based Fully Convolutional Network for Medical Image Segmentation. 455-458 - Alessandro Delmonte, Corentin Mercier, Johan Pallud, Isabelle Bloch, Pietro Gori:
White Matter Multi-Resolution Segmentation Using Fuzzy Set Theory. 459-462 - Zhewei Wang, Weizhen Cai, Charles D. Smith, Noriko Kantake, Thomas J. Rosol, Jundong Liu:
Residual Pyramid Fcn for Robust Follicle Segmentation. 463-467 - Huitong Pan, Yushan Feng, Quan Chen, Craig H. Meyer, Xue Feng:
Prostate Segmentation From 3D Mri Using A Two-Stage Model and Variable-Input Based Uncertainty Measure. 468-471 - Yushan Feng, Huitong Pan, Craig H. Meyer, Xue Feng:
A Self-Adaptive Network for Multiple Sclerosis Lesion Segmentation From Multi-Contrast MRI With Various Imaging Sequences. 472-475 - Yuchen Pei, Wenjin Xia, Xiuying Wang, Jieyu Li, Hongwei Ye, Lisheng Wang:
3D Structure Surface Modelling From Volumetric CT Images. 476-479 - Nassim Guerroumi, Clément Playout, Catherine Laporte, Farida Cheriet:
Automatic Segmentation of the Scoliotic Spine from Mr Images. 480-484 - Eric Z. Chen, Xu Dong, Xiaoxiao Li, Hongda Jiang, Ruichen Rong, Junyan Wu:
Lesion Attributes Segmentation for Melanoma Detection with Multi-Task U-Net. 485-488 - Qian Zhang, Yuan Xue, Xiaolei Huang:
Online Training for Body Part Segmentation in Infant Movement Videos. 489-492