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23rd MICCAI 2020: Lima, Peru - Part II
- Anne L. Martel
, Purang Abolmaesumi
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12262, Springer 2020, ISBN 978-3-030-59712-2
Image Reconstruction
- Puyang Wang, Pengfei Guo, Jianhua Lu, Jinyuan Zhou, Shanshan Jiang, Vishal M. Patel:
Improving Amide Proton Transfer-Weighted MRI Reconstruction Using T2-Weighted Images. 3-12 - Dongdong Chen, Mike E. Davies, Mohammad Golbabaee:
Compressive MR Fingerprinting Reconstruction with Neural Proximal Gradient Iterations. 13-22 - Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra
Active MR k-space Sampling with Reinforcement Learning. 23-33 - Sahar Ahmad, Ye Wu
Fast Correction of Eddy-Current and Susceptibility-Induced Distortions Using Rotation-Invariant Contrasts. 34-43 - Mélanie Gaillochet
Joint Reconstruction and Bias Field Correction for Undersampled MR Imaging. 44-52 - Yaël Balbastre
Joint Total Variation ESTATICS for Robust Multi-parameter Mapping. 53-63 - Anuroop Sriram
End-to-End Variational Networks for Accelerated MRI Reconstruction. 64-73 - Ivo M. Baltruschat, Patryk Szwargulski, Florian Griese
3d-SMRnet: Achieving a New Quality of MPI System Matrix Recovery by Deep Learning. 74-82 - Eric Z. Chen, Terrence Chen, Shanhui Sun:
MRI Image Reconstruction via Learning Optimization Using Neural ODEs. 83-93 - Raphaël Truffet, Jonathan Rafael-Patino, Gabriel Girard, Marco Pizzolato
An Evolutionary Framework for Microstructure-Sensitive Generalized Diffusion Gradient Waveforms. 94-103 - Pengfei Guo, Puyang Wang, Jinyuan Zhou, Vishal M. Patel, Shanshan Jiang:
Lesion Mask-Based Simultaneous Synthesis of Anatomic and Molecular MR Images Using a GAN. 104-113 - Hélène Lajous
T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions. 114-124 - Kuo-Wei Lai, Manisha Aggarwal
Learned Proximal Networks for Quantitative Susceptibility Mapping. 125-135 - Yao Sui, Onur Afacan
Learning a Gradient Guidance for Spatially Isotropic MRI Super-Resolution Reconstruction. 136-146 - Yuanyuan Lyu
Encoding Metal Mask Projection for Metal Artifact Reduction in Computed Tomography. 147-157 - Feng Cheng, Yong Chen, Xiaopeng Zong, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Acceleration of High-Resolution 3D MR Fingerprinting via a Graph Convolutional Network. 158-166 - Yifeng Guo
Deep Attentive Wasserstein Generative Adversarial Networks for MRI Reconstruction with Recurrent Context-Awareness. 167-177 - Kai Xuan, Shanhui Sun, Zhong Xue, Qian Wang, Shu Liao:
Learning MRI k-Space Subsampling Pattern Using Progressive Weight Pruning. 178-187 - Yan Yang, Na Wang, Heran Yang, Jian Sun, Zongben Xu:
Model-Driven Deep Attention Network for Ultra-fast Compressive Sensing MRI Guided by Cross-contrast MR Image. 188-198 - Philipp Roser
Simultaneous Estimation of X-Ray Back-Scatter and Forward-Scatter Using Multi-task Learning. 199-208
Prediction and Diagnosis
- Jiancheng Yang
MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response. 211-220 - Tao Zhou, Huazhu Fu, Yu Zhang, Changqing Zhang, Xiankai Lu, Jianbing Shen, Ling Shao:
M2 Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients. 221-231 - Oliver Taubmann, Jingpeng Li, Felix Denzinger, Eva Eibenberger, Felix C. Müller
Automatic Detection of Free Intra-abdominal Air in Computed Tomography. 232-241 - Hongyi Duanmu
Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Using Deep Learning with Integrative Imaging, Molecular and Demographic Data. 242-252 - Johanna Uthoff, Samer Alabed
Geodesically Smoothed Tensor Features for Pulmonary Hypertension Prognosis Using the Heart and Surrounding Tissues. 253-262 - Cheng Yuan, Yujin Tang, Dahong Qian:
Ovarian Cancer Prediction in Proteomic Data Using Stacked Asymmetric Convolution. 263-271 - Jiawen Yao
DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging. 272-282 - Konstantin Dmitriev, Arie E. Kaufman:
Holistic Analysis of Abdominal CT for Predicting the Grade of Dysplasia of Pancreatic Lesions. 283-293 - Kexin Ding
Feature-Enhanced Graph Networks for Genetic Mutational Prediction Using Histopathological Images in Colon Cancer. 294-304 - Marwa Ismail, Ramon Correa, Kaustav Bera, Ruchika Verma
Spatial-And-Context Aware (SpACe) "Virtual Biopsy" Radiogenomic Maps to Target Tumor Mutational Status on Structural MRI. 305-314 - Indrani Bhattacharya
CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis. 315-325 - Son Nguyen, Dogan Polat, Paniz Karbasi, Daniel Moser, Liqiang Wang, Keith Hulsey, Murat Can Çobanoglu, Basak E. Dogan
Preoperative Prediction of Lymph Node Metastasis from Clinical DCE MRI of the Primary Breast Tumor Using a 4D CNN. 326-334 - Junyan Wu, Hao Jiang, Xiaowei Ding, Anudeep Konda, Jin Han, Yang Zhang
Learning Differential Diagnosis of Skin Conditions with Co-occurrence Supervision Using Graph Convolutional Networks. 335-344
Cross-Domain Methods and Reconstruction
- Jue Jiang, Harini Veeraraghavan:
Unified Cross-Modality Feature Disentangler for Unsupervised Multi-domain MRI Abdomen Organs Segmentation. 347-358 - Johannes Hofmanninger, Matthias Perkonigg
Dynamic Memory to Alleviate Catastrophic Forgetting in Continuous Learning Settings. 359-368 - Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete
Unlearning Scanner Bias for MRI Harmonisation. 369-378 - Yingying Zhu, Youbao Tang, Yuxing Tang, Daniel C. Elton, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers:
Cross-domain Medical Image Translation by Shared Latent Gaussian Mixture Model. 379-389 - Franco Matzkin
Self-supervised Skull Reconstruction in Brain CT Images with Decompressive Craniectomy. 390-399 - Yuan Liang, Weinan Song
X2Teeth: 3D Teeth Reconstruction from a Single Panoramic Radiograph. 400-409 - Jaime Tierney, Adam Luchies, Christopher Khan, Brett C. Byram, Matthew Berger:
Domain Adaptation for Ultrasound Beamforming. 410-420 - Osvald Nitski
CDF-Net: Cross-Domain Fusion Network for Accelerated MRI Reconstruction. 421-430
Domain Adaptation
- Jianhao Xiong
Improve Unseen Domain Generalization via Enhanced Local Color Transformation. 433-443 - Junyi Zhang, Peng Wan, Daoqiang Zhang:
Transport-Based Joint Distribution Alignment for Multi-site Autism Spectrum Disorder Diagnosis Using Resting-State fMRI. 444-453 - Haoyang Li, Juexiao Zhou
Automatic and Interpretable Model for Periodontitis Diagnosis in Panoramic Radiographs. 454-463 - Dalu Yang, Yehui Yang, Tiantian Huang, Binghong Wu, Lei Wang, Yanwu Xu:
Residual-CycleGAN Based Camera Adaptation for Robust Diabetic Retinopathy Screening. 464-474 - Quande Liu, Qi Dou, Pheng-Ann Heng:
Shape-Aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains. 475-485 - Celia Martín Vicario, Florian Kordon
Automatic Plane Adjustment of Orthopedic Intraoperative Flat Panel Detector CT-Volumes. 486-495 - Bomin Wang, Zhi Liu, Yujun Li, Xiaoyan Xiao, Ranran Zhang, Yankun Cao, Lizhen Cui, Pengfei Zhang:
Unsupervised Graph Domain Adaptation for Neurodevelopmental Disorders Diagnosis. 496-505 - Mayank Patwari
JBFnet - Low Dose CT Denoising by Trainable Joint Bilateral Filtering. 506-515 - Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng
MI2GAN: Generative Adversarial Network for Medical Image Domain Adaptation Using Mutual Information Constraint. 516-525
Machine Learning Applications
- Geeticka Chauhan, Ruizhi Liao, William M. Wells III, Jacob Andreas, Xin Wang, Seth J. Berkowitz, Steven Horng, Peter Szolovits, Polina Golland:
Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment. 529-539 - Hendrik Burwinkel, Holger Matz, Stefan Saur, Christoph Hauger, Ayse Mine Evren, Nino Hirnschall, Oliver Findl, Nassir Navab, Seyed-Ahmad Ahmadi:
Domain-Specific Loss Design for Unsupervised Physical Training: A New Approach to Modeling Medical ML Solutions. 540-550 - Shashank Subramanian
Multiatlas Calibration of Biophysical Brain Tumor Growth Models with Mass Effect. 551-560 - Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Yaniv Gur, Joy T. Wu, Ashutosh Jadhav, Satyananda Kashyap, Alexandros Karargyris, Anup Pillai, Arjun Sharma, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi:
Chest X-Ray Report Generation Through Fine-Grained Label Learning. 561-571 - Gerome Vivar, Kamilia Mullakaeva, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi:
Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time. 572-581 - Mohammad Mahdi Kazemi Esfeh, Christina Luong
A Deep Bayesian Video Analysis Framework: Towards a More Robust Estimation of Ejection Fraction. 582-590 - Lijun Gong, Kai Ma, Yefeng Zheng
Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications. 591-601 - Taro Langner
Large-Scale Inference of Liver Fat with Neural Networks on UK Biobank Body MRI. 602-611 - Song Bian, Xiaowei Xu, Weiwen Jiang, Yiyu Shi, Takashi Sato
BUNET: Blind Medical Image Segmentation Based on Secure UNET. 612-622 - Hongrong Wei, Heng Cao, Yiqin Cao, Yongjin Zhou, Wufeng Xue, Dong Ni, Shuo Li:
Temporal-Consistent Segmentation of Echocardiography with Co-learning from Appearance and Shape. 623-632 - Hendrik Burwinkel, Matthias Keicher
Decision Support for Intoxication Prediction Using Graph Convolutional Networks. 633-642 - Luca Cosmo
Latent-Graph Learning for Disease Prediction. 643-653
Generative Adversarial Networks
- Chu-ran Wang, Fandong Zhang, Yizhou Yu, Yizhou Wang:
BR-GAN: Bilateral Residual Generating Adversarial Network for Mammogram Classification. 657-666 - Yuhui Ma, Yonghuai Liu, Jun Cheng, Yalin Zheng, Morteza Ghahremani
Cycle Structure and Illumination Constrained GAN for Medical Image Enhancement. 667-677 - Yunbi Liu, Mingxia Liu
Generating Dual-Energy Subtraction Soft-Tissue Images from Chest Radiographs via Bone Edge-Guided GAN. 678-687 - Hoo-Chang Shin, Alvin Ihsani, Ziyue Xu, Swetha Mandava, Sharath Turuvekere Sreenivas, Christopher Forster, Jiook Cha:
GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-Tuning for Alzheimer's Disease Diagnosis from MRI. 688-697 - Shengye Hu, Yanyan Shen, Shuqiang Wang
Brain MR to PET Synthesis via Bidirectional Generative Adversarial Network. 698-707 - Melih Engin
AGAN: An Anatomy Corrector Conditional Generative Adversarial Network. 708-717 - Christoph Baur, Robert Graf
SteGANomaly: Inhibiting CycleGAN Steganography for Unsupervised Anomaly Detection in Brain MRI. 718-727 - Toan Duc Bui, Manh Nguyen, Ngan Le
Flow-Based Deformation Guidance for Unpaired Multi-contrast MRI Image-to-Image Translation. 728-737 - Ricardo Bigolin Lanfredi
Interpretation of Disease Evidence for Medical Images Using Adversarial Deformation Fields. 738-748 - Clinton J. Wang, Natalia S. Rost, Polina Golland:
Spatial-Intensity Transform GANs for High Fidelity Medical Image-to-Image Translation. 749-759 - Jianfei Liu, Joanne Li, Tao Liu, Johnny Tam
Graded Image Generation Using Stratified CycleGAN. 760-769 - Jinghui Guo, Ali Ersen, Yang Gao, Yu Lin, Latifur Khan
Prediction of Plantar Shear Stress Distribution by Conditional GAN with Attention Mechanism. 770-780
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