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ORCID22nd MICCAI 2019: Shenzhen, China
- Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11765, Springer 2019, ISBN 978-3-030-32244-1
Image Segmentation
- Dong Yang, Holger Roth
, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu:
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation. 3-11 - Houssam El-Hariri, Kishore Mulpuri, Antony J. Hodgson, Rafeef Garbi:
Comparative Evaluation of Hand-Engineered and Deep-Learned Features for Neonatal Hip Bone Segmentation in Ultrasound. 12-20 - Benoît Audelan, Hervé Delingette:
Unsupervised Quality Control of Image Segmentation Based on Bayesian Learning. 21-29 - Mathias Perslev, Erik Bjørnager Dam, Akshay Pai, Christian Igel:
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation. 30-38 - Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Nassir Navab, Christian Wachinger:
'Project & Excite' Modules for Segmentation of Volumetric Medical Scans. 39-47 - Alain Jungo, Mauricio Reyes:
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation. 48-56 - Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang:
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation. 57-65 - Shadab Khan, Ahmed H. Shahin, Javier Villafruela, Jianbing Shen, Ling Shao:
Extreme Points Derived Confidence Map as a Cue for Class-Agnostic Interactive Segmentation Using Deep Neural Network. 66-73 - Reuben Dorent, Samuel Joutard, Marc Modat, Sébastien Ourselin, Tom Vercauteren:
Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation. 74-82 - Meng Dong, Dong Liu, Zhiwei Xiong, Xuejin Chen, Yueyi Zhang, Zheng-Jun Zha, Guoqiang Bi, Feng Wu:
Instance Segmentation from Volumetric Biomedical Images Without Voxel-Wise Labeling. 83-91 - Jeroen Bertels, Tom Eelbode, Maxim Berman, Dirk Vandermeulen, Frederik Maes, Raf Bisschops, Matthew B. Blaschko:
Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory and Practice. 92-100 - Xianxu Hou, Jingxin Liu, Bolei Xu, Bozhi Liu, Xin Chen, Mohammad Ilyas, Ian O. Ellis, Jon Garibaldi, Guoping Qiu:
Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation. 101-109 - Haozhe Jia, Yang Song, Heng Huang, Weidong Cai, Yong Xia:
HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images. 110-118 - Christian F. Baumgartner, Kerem Can Tezcan, Krishna Chaitanya, Andreas M. Hötker, Urs J. Muehlematter, Khoschy Schawkat, Anton S. Becker, Olivio Donati, Ender Konukoglu:
PHiSeg: Capturing Uncertainty in Medical Image Segmentation. 119-127 - Chunwei Ma, Zhanghexuan Ji, Mingchen Gao:
Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data. 128-136 - Shi Hu, Daniel E. Worrall, Stefan Knegt, Bas Veeling, Henkjan J. Huisman, Max Welling:
Supervised Uncertainty Quantification for Segmentation with Multiple Annotations. 137-145 - Guodong Zeng, Guoyan Zheng:
3D Tiled Convolution for Effective Segmentation of Volumetric Medical Images. 146-154 - Yuyin Zhou, Yingwei Li, Zhishuai Zhang, Yan Wang, Angtian Wang, Elliot K. Fishman, Alan L. Yuille, Seyoun Park:
Hyper-Pairing Network for Multi-phase Pancreatic Ductal Adenocarcinoma Segmentation. 155-163 - Shoujun Zhou, Na Li, Baochang Zhang, Cheng Wang, Zonghan Wu, Jun Yang, Aichi Chien:
Statistical Intensity- and Shape-Modeling to Automate Cerebrovascular Segmentation from TOF-MRA Data. 164-172 - Tejas Sudharshan Mathai, Vijay Gorantla, John M. Galeotti:
Segmentation of Vessels in Ultra High Frequency Ultrasound Sequences Using Contextual Memory. 173-181 - Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam P. Harrison, Jing Xiao, Chen-Kan Tseng, Le Lu:
Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT Using Two-Stream Chained 3D Deep Network Fusion. 182-191 - Duo Wang, Ming Li, Nir Ben-Shlomo, C. Eduardo Corrales, Yu Cheng, Tao Zhang, Jagadeesan Jayender:
Mixed-Supervised Dual-Network for Medical Image Segmentation. 192-200 - Ningning Zhao, Nuo Tong, Dan Ruan, Ke Sheng:
Fully Automated Pancreas Segmentation with Two-Stage 3D Convolutional Neural Networks. 201-209 - Chaowei Fang, Guanbin Li, Chengwei Pan, Yiming Li, Yizhou Yu:
Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation. 210-218 - Rula Amer, Jannette Nassar, David Bendahan, Hayit Greenspan, Noam Ben-Eliezer:
Automatic Segmentation of Muscle Tissue and Inter-muscular Fat in Thigh and Calf MRI Images. 219-227 - Woong Bae, Seungho Lee, Yeha Lee, Beomhee Park, Minki Chung, Kyu-Hwan Jung:
Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation. 228-236 - Xiaojiao Xiao, Juanjuan Zhao, Yan Qiang, Jaron Chong, Xiaotang Yang, Ntikurako Guy-Fernand Kazihise, Bo Chen, Shuo Li:
Radiomics-guided GAN for Segmentation of Liver Tumor Without Contrast Agents. 237-245 - Qi Zeng, Davood Karimi, Emily H. T. Pang, Shahed K. Mohammed, Caitlin Schneider, Mohammad Honarvar, Septimiu E. Salcudean:
Liver Segmentation in Magnetic Resonance Imaging via Mean Shape Fitting with Fully Convolutional Neural Networks. 246-254 - Junlin Yang, Nicha C. Dvornek, Fan Zhang, Julius Chapiro, Ming De Lin, James S. Duncan:
Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation. 255-263 - Guotai Wang, Jonathan Shapey, Wenqi Li, Reuben Dorent, Alex Demitriadis, Sotirios Bisdas, Ian Paddick, Robert Bradford, Shaoting Zhang, Sébastien Ourselin, Tom Vercauteren:
Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss. 264-272 - Fabian Balsiger, Yannick Soom, Olivier Scheidegger, Mauricio Reyes:
Learning Shape Representation on Sparse Point Clouds for Volumetric Image Segmentation. 273-281 - Chaowei Tan, Zhennan Yan, Shaoting Zhang, Kang Li, Dimitris N. Metaxas:
Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation. 282-290 - Chao Huang, Hu Han, Qingsong Yao, Shankuan Zhu, Shaohua Kevin Zhou:
3D U2-Net: A 3D Universal U-Net for Multi-domain Medical Image Segmentation. 291-299 - Utku Ozbulak, Arnout Van Messem, Wesley De Neve:
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation. 300-308 - Yunhe Gao, Chang Liu, Liang Zhao:
Multi-resolution Path CNN with Deep Supervision for Intervertebral Disc Localization and Segmentation. 309-317 - Wenyao Xia, Maryse Fortin, Joshua Ahn, Hassan Rivaz, Michele C. Battié, Terry M. Peters, Yiming Xiao:
Automatic Paraspinal Muscle Segmentation in Patients with Lumbar Pathology Using Deep Convolutional Neural Network. 318-325 - Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed:
Constrained Domain Adaptation for Segmentation. 326-334
Image Registration
- Matthew C. H. Lee, Ozan Oktay, Andreas Schuh, Michiel Schaap, Ben Glocker:
Image-and-Spatial Transformer Networks for Structure-Guided Image Registration. 337-345 - Lihao Liu, Xiaowei Hu, Lei Zhu, Pheng-Ann Heng:
Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration. 346-354 - Jennifer Alvén, Kerstin Heurling, Ruben Smith, Olof Strandberg, Michael Schöll, Oskar Hansson, Fredrik Kahl:
A Deep Learning Approach to MR-less Spatial Normalization for Tau PET Images. 355-363 - Rune Kok Nielsen, Sune Darkner, Aasa Feragen:
TopAwaRe: Topology-Aware Registration. 364-372 - David S. Lee, Ashish Sahib, Benjamin S. C. Wade, Katherine L. Narr, Gerhard Hellemann, Roger P. Woods, Shantanu H. Joshi:
Multimodal Data Registration for Brain Structural Association Networks. 373-381 - Xiaojun Hu, Miao Kang, Weilin Huang, Matthew R. Scott, Roland Wiest, Mauricio Reyes:
Dual-Stream Pyramid Registration Network. 382-390 - Riddhish Bhalodia, Shireen Y. Elhabian, Ladislav Kavan, Ross T. Whitaker:
A Cooperative Autoencoder for Population-Based Regularization of CNN Image Registration. 391-400 - Yipeng Hu, Eli Gibson, Dean C. Barratt, Mark Emberton, J. Alison Noble, Tom Vercauteren:
Conditional Segmentation in Lieu of Image Registration. 401-409 - Jie Luo, Alireza Sedghi, Karteek Popuri, Dana Cobzas, Miaomiao Zhang, Frank Preiswerk, Matthew Toews, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III, Sarah F. Frisken:
On the Applicability of Registration Uncertainty. 410-419 - Zhenlin Xu, Marc Niethammer:
DeepAtlas: Joint Semi-supervised Learning of Image Registration and Segmentation. 420-429 - Jaume Coll-Font, Onur Afacan, Jeanne Chow, Sila Kurugol:
Linear Time Invariant Model Based Motion Correction (LiMo-MoCo) of Dynamic Radial Contrast Enhanced MRI. 430-437 - Lucas Fidon, Michael Ebner, Luis C. García-Peraza-Herrera, Marc Modat, Sébastien Ourselin, Tom Vercauteren:
Incompressible Image Registration Using Divergence-Conforming B-Splines. 438-446
Cardiovascular Imaging
- Dong Zhang, Guang Yang, Shu Zhao, Yanping Zhang, Heye Zhang, Shuo Li:
Direct Quantification for Coronary Artery Stenosis Using Multiview Learning. 449-457 - Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horácek, Linwei Wang:
Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization. 458-467 - Han Yang, Junxuan Chen, Ying Chi, Xuansong Xie, Xiansheng Hua:
Discriminative Coronary Artery Tracking via 3D CNN in Cardiac CT Angiography. 468-476 - Xiaowei Xu, Tianchen Wang, Yiyu Shi, Haiyun Yuan, Qianjun Jia, Meiping Huang, Jian Zhuang:
Whole Heart and Great Vessel Segmentation in Congenital Heart Disease Using Deep Neural Networks and Graph Matching. 477-485 - Taha Sabri Koltukluoglu, Gregor Cvijetic, Ralf Hiptmair:
Harmonic Balance Techniques in Cardiovascular Fluid Mechanics. 486-494 - Yuhua Chen, Jaime L. Shaw, Yibin Xie, Debiao Li, Anthony G. Christodoulou:
Deep Learning Within a Priori Temporal Feature Spaces for Large-Scale Dynamic MR Image Reconstruction: Application to 5-D Cardiac MR Multitasking. 495-504 - Chen Qin, Jo Schlemper, Jinming Duan, Gavin Seegoolam, Anthony Price, Joseph V. Hajnal, Daniel Rueckert:
k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-Temporal Correlations. 505-513 - Teresa Correia, Torben Schneider, Amedeo Chiribiri:
Model-Based Reconstruction for Highly Accelerated First-Pass Perfusion Cardiac MRI. 514-522 - Chen Chen, Carlo Biffi, Giacomo Tarroni, Steffen E. Petersen, Wenjia Bai, Daniel Rueckert:
Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images. 523-531 - Hao Yang, Zexiong Liu, Xuan Yang:
Right Ventricle Segmentation in Short-Axis MRI Using a Shape Constrained Dense Connected U-Net. 532-540 - Wenjia Bai, Chen Chen, Giacomo Tarroni, Jinming Duan, Florian Guitton, Steffen E. Petersen, Yike Guo, Paul M. Matthews, Daniel Rueckert:
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction. 541-549 - Rongzhao Zhang, Albert C. S. Chung:
A Fine-Grain Error Map Prediction and Segmentation Quality Assessment Framework for Whole-Heart Segmentation. 550-558 - Qian Yue, Xinzhe Luo, Qing Ye, Lingchao Xu, Xiahai Zhuang:
Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors. 559-567 - Hoel Kervadec, Jose Dolz, Éric Granger, Ismail Ben Ayed:
Curriculum Semi-supervised Segmentation. 568-576 - Chaoyang Xia, Xiaojie Li, Xin Wang, Bin Kong, Yucheng Chen, Youbing Yin, Kunlin Cao, Qi Song, Siwei Lyu, Xi Wu:
A Multi-modality Network for Cardiomyopathy Death Risk Prediction with CMR Images and Clinical Information. 577-585 - Rahman Attar, Marco Pereañez, Christopher Bowles, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata. 586-594 - Jun Chen, Heye Zhang, Yanping Zhang, Shu Zhao, Raad Mohiaddin, Tom Wong, David N. Firmin, Guang Yang, Jennifer Keegan:
Discriminative Consistent Domain Generation for Semi-supervised Learning. 595-604 - Lequan Yu, Shujun Wang, Xiaomeng Li, Chi-Wing Fu, Pheng-Ann Heng:
Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation. 605-613 - Tianchen Wang, Jinjun Xiong, Xiaowei Xu, Meng Jiang, Haiyun Yuan, Meiping Huang, Jian Zhuang, Yiyu Shi:
MSU-Net: Multiscale Statistical U-Net for Real-Time 3D Cardiac MRI Video Segmentation. 614-622 - Wenjun Yan, Yuanyuan Wang, Shengjia Gu, Lu Huang, Fuhua Yan, Liming Xia, Qian Tao:
The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN. 623-631 - Nathan Painchaud, Youssef Skandarani, Thierry Judge, Olivier Bernard, Alain Lalande, Pierre-Marc Jodoin:
Cardiac MRI Segmentation with Strong Anatomical Guarantees. 632-640 - Yizhe Zhang, Michael T. C. Ying, Danny Z. Chen:
Decompose-and-Integrate Learning for Multi-class Segmentation in Medical Images. 641-650 - Le Zhang, Marco Pereañez, Christopher Bowles, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets. 651-659 - Le Zhang, Marco Pereañez, Christopher Bowles, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
Unsupervised Standard Plane Synthesis in Population Cine MRI via Cycle-Consistent Adversarial Networks. 660-668 - Cheng Ouyang, Konstantinos Kamnitsas, Carlo Biffi, Jinming Duan, Daniel Rueckert:
Data Efficient Unsupervised Domain Adaptation For Cross-modality Image Segmentation. 669-677 - Ming Li, Weiwei Zhang, Guang Yang, Chengjia Wang, Heye Zhang, Huafeng Liu, Wei Zheng, Shuo Li:
Recurrent Aggregation Learning for Multi-view Echocardiographic Sequences Segmentation. 678-686 - Zhibin Liao, Mohammad H. Jafari, Hany Girgis, Kenneth Gin, Robert Rohling, Purang Abolmaesumi, Teresa Tsang:
Echocardiography View Classification Using Quality Transfer Star Generative Adversarial Networks. 687-695 - Delaram Behnami, Zhibin Liao, Hany Girgis, Christina Luong, Robert Rohling, Ken Gin, Teresa Tsang, Purang Abolmaesumi:
Dual-View Joint Estimation of Left Ventricular Ejection Fraction with Uncertainty Modelling in Echocardiograms. 696-704 - Fatemeh Taheri Dezaki, Hany Girgis, Robert Rohling, Ken Gin, Purang Abolmaesumi, Teresa Tsang:
Frame Rate Up-Conversion in Echocardiography Using a Conditioned Variational Autoencoder and Generative Adversarial Model. 705-713 - Fei Yu, Jie Zhao, Yanjun Gong, Zhi Wang, Yuxi Li, Fan Yang, Bin Dong, Quanzheng Li, Li Zhang:
Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images. 714-722 - Jen-Tang Lu, Rupert Brooks, Stefan Hahn, Jin Chen, Varun Buch, Gopal Kotecha, Katherine P. Andriole, Brian B. Ghoshhajra, Joel Pinto, Paul Vozila, Mark Michalski, Neil A. Tenenholtz:
DeepAAA: Clinically Applicable and Generalizable Detection of Abdominal Aortic Aneurysm Using Deep Learning. 723-731 - Antonio Tejero-de-Pablos, Kaikai Huang, Hiroaki Yamane, Yusuke Kurose, Yusuke Mukuta, Junichi Iho, Youji Tokunaga, Makoto Horie, Keisuke Nishizawa, Yusaku Hayashi, Yasushi Koyama, Tatsuya Harada:
Texture-Based Classification of Significant Stenosis in CCTA Multi-view Images of Coronary Arteries. 732-740 - Taha Sabri Koltukluoglu:
Fourier Spectral Dynamic Data Assimilation: Interlacing CFD with 4D Flow MRI. 741-749 - Evan Hann, Luca Biasiolli, Qiang Zhang, Iulia A. Popescu, Konrad Werys, Elena Lukaschuk, Valentina Carapella, José Miguel Paiva, Nay Aung, Jennifer J. Rayner, Kenneth Fung, Henrike Puchta, Mihir M. Sanghvi, Niall O. Moon, Katharine E. Thomas, Vanessa M. Ferreira, Steffen E. Petersen, Stefan Neubauer, Stefan K. Piechnik:
Quality Control-Driven Image Segmentation Towards Reliable Automatic Image Analysis in Large-Scale Cardiovascular Magnetic Resonance Aortic Cine Imaging. 750-758 - Hao Zheng, Lin Yang, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen:
HFA-Net: 3D Cardiovascular Image Segmentation with Asymmetrical Pooling and Content-Aware Fusion. 759-767 - Pierre-Jean Lartaud, Aymeric Rouchaud, Jean-Michel Rouet, Olivier Nempont, Loïc Boussel:
Spectral CT Based Training Dataset Generation and Augmentation for Conventional CT Vascular Segmentation. 768-775 - Zhifan Gao, Shuo Li:
Context-Aware Inductive Bias Learning for Vessel Border Detection in Multi-modal Intracoronary Imaging. 776-784
Growth, Development, Atrophy, and Progression
- Ivan Ezhov, Jana Lipková, Suprosanna Shit, Florian Kofler, Nora Collomb, Benjamin Lemasson, Emmanuel Luc Barbier, Bjoern H. Menze:
Neural Parameters Estimation for Brain Tumor Growth Modeling. 787-795 - Baha Eddine Ezzine, Islem Rekik:
Learning-Guided Infinite Network Atlas Selection for Predicting Longitudinal Brain Network Evolution from a Single Observation. 796-805 - Jens Petersen, Paul F. Jäger, Fabian Isensee, Simon A. A. Kohl, Ulf Neuberger, Wolfgang Wick, Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Kickingereder, Klaus H. Maier-Hein:
Deep Probabilistic Modeling of Glioma Growth. 806-814 - Sahar Ahmad, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brain. 815-822 - Qingyu Zhao, Ehsan Adeli, Nicolas Honnorat, Tuo Leng, Kilian M. Pohl:
Variational AutoEncoder for Regression: Application to Brain Aging Analysis. 823-831 - Weixiong Jiang, Han Zhang, Li-Ming Hsu, Dan Hu, Guoshi Li, Ye Wu, Dinggang Shen:
Early Development of Infant Brain Complex Network. 832-840 - Fan Wang, Chunfeng Lian, Zhengwang Wu, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties. 841-849 - Jie Zhang, Yalin Wang:
Continually Modeling Alzheimer's Disease Progression via Deep Multi-order Preserving Weight Consolidation. 850-859 - Razvan V. Marinescu, Marco Lorenzi, Stefano B. Blumberg, Alexandra L. Young, Pere Planell-Morell, Neil P. Oxtoby, Arman Eshaghi, Keir X. Yong, Sebastian J. Crutch, Polina Golland, Daniel C. Alexander:
Disease Knowledge Transfer Across Neurodegenerative Diseases. 860-868
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