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22nd 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
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation. 3-11 - Houssam El-Hariri
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
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation. 30-38 - Anne-Marie Rickmann
'Project & Excite' Modules for Segmentation of Volumetric Medical Scans. 39-47 - Alain Jungo
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
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
Instance Segmentation from Volumetric Biomedical Images Without Voxel-Wise Labeling. 83-91 - Jeroen Bertels
Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory and Practice. 92-100 - Xianxu Hou, Jingxin Liu
Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation. 101-109 - Haozhe Jia
HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images. 110-118 - Christian F. Baumgartner
PHiSeg: Capturing Uncertainty in Medical Image Segmentation. 119-127 - Chunwei Ma
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
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
Hyper-Pairing Network for Multi-phase Pancreatic Ductal Adenocarcinoma Segmentation. 155-163 - Shoujun Zhou, Na Li, Baochang Zhang
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
Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT Using Two-Stream Chained 3D Deep Network Fusion. 182-191 - Duo Wang, Ming Li
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
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
Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation. 255-263 - Guotai Wang
Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss. 264-272 - Fabian Balsiger
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
3D U2-Net: A 3D Universal U-Net for Multi-domain Medical Image Segmentation. 291-299 - Utku Ozbulak
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
Automatic Paraspinal Muscle Segmentation in Patients with Lumbar Pathology Using Deep Convolutional Neural Network. 318-325 - Mathilde Bateson
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
Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration. 346-354 - Jennifer Alvén
A Deep Learning Approach to MR-less Spatial Normalization for Tau PET Images. 355-363 - Rune Kok Nielsen
TopAwaRe: Topology-Aware Registration. 364-372 - David S. Lee, Ashish Sahib
Multimodal Data Registration for Brain Structural Association Networks. 373-381 - Xiaojun Hu, Miao Kang, Weilin Huang, Matthew R. Scott
Dual-Stream Pyramid Registration Network. 382-390 - Riddhish Bhalodia, Shireen Y. Elhabian
A Cooperative Autoencoder for Population-Based Regularization of CNN Image Registration. 391-400 - Yipeng Hu, Eli Gibson
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
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
Linear Time Invariant Model Based Motion Correction (LiMo-MoCo) of Dynamic Radial Contrast Enhanced MRI. 430-437 - Lucas Fidon, Michael Ebner
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
Whole Heart and Great Vessel Segmentation in Congenital Heart Disease Using Deep Neural Networks and Graph Matching. 477-485 - Taha Sabri Koltukluoglu
Harmonic Balance Techniques in Cardiovascular Fluid Mechanics. 486-494 - Yuhua Chen
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
k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-Temporal Correlations. 505-513 - Teresa Correia
Model-Based Reconstruction for Highly Accelerated First-Pass Perfusion Cardiac MRI. 514-522 - Chen Chen
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
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
Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors. 559-567 - Hoel Kervadec, Jose Dolz, Éric Granger
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
3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata. 586-594 - Jun Chen
Discriminative Consistent Domain Generation for Semi-supervised Learning. 595-604 - Lequan Yu
Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation. 605-613 - Tianchen Wang, Jinjun Xiong
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
Cardiac MRI Segmentation with Strong Anatomical Guarantees. 632-640 - Yizhe Zhang, Michael T. C. Ying
Decompose-and-Integrate Learning for Multi-class Segmentation in Medical Images. 641-650 - Le Zhang, Marco Pereañez, Christopher Bowles
Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets. 651-659 - Le Zhang, Marco Pereañez, Christopher Bowles
Unsupervised Standard Plane Synthesis in Population Cine MRI via Cycle-Consistent Adversarial Networks. 660-668 - Cheng Ouyang, Konstantinos Kamnitsas
Data Efficient Unsupervised Domain Adaptation For Cross-modality Image Segmentation. 669-677 - Ming 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
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
Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images. 714-722 - Jen-Tang Lu, Rupert Brooks
DeepAAA: Clinically Applicable and Generalizable Detection of Abdominal Aortic Aneurysm Using Deep Learning. 723-731 - Antonio Tejero-de-Pablos
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
Quality Control-Driven Image Segmentation Towards Reliable Automatic Image Analysis in Large-Scale Cardiovascular Magnetic Resonance Aortic Cine Imaging. 750-758 - Hao Zheng
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
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
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
Deep Probabilistic Modeling of Glioma Growth. 806-814 - Sahar Ahmad, Zhengwang Wu
Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brain. 815-822 - Qingyu Zhao, Ehsan Adeli
Variational AutoEncoder for Regression: Application to Brain Aging Analysis. 823-831 - Weixiong Jiang, Han Zhang, Li-Ming Hsu, Dan Hu, Guoshi Li
Early Development of Infant Brain Complex Network. 832-840 - Fan Wang, Chunfeng Lian, Zhengwang Wu
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
Disease Knowledge Transfer Across Neurodegenerative Diseases. 860-868
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