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12th MLMI@MICCAI 2021: Strasbourg, France
- Chunfeng Lian, Xiaohuan Cao, Islem Rekik, Xuanang Xu, Pingkun Yan:
Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Lecture Notes in Computer Science 12966, Springer 2021, ISBN 978-3-030-87588-6 - Tapabrata Chakraborti, Fergus Gleeson, Jens Rittscher:
Contrastive Representations for Continual Learning of Fine-Grained Histology Images. 1-9 - Hao Guan, Li Wang
, Dongren Yao, Andrea Bozoki
, Mingxia Liu:
Learning Transferable 3D-CNN for MRI-Based Brain Disorder Classification from Scratch: An Empirical Study. 10-19 - Junrui Liu, Cong Hua, Liang Zhang, Ping Li, Xiaoyuan Lu:
Knee Cartilages Segmentation Based on Multi-scale Cascaded Neural Networks. 20-29 - Ling Huang
, Thierry Denoeux
, David Tonnelet, Pierre Decazes, Su Ruan:
Deep PET/CT Fusion with Dempster-Shafer Theory for Lymphoma Segmentation. 30-39 - Zhuoyue Wu, Hansheng Li, Lei Cui, Yuxin Kang, Jianye Liu, Haider Ali, Jun Feng, Lin Yang:
Interpretable Histopathology Image Diagnosis via Whole Tissue Slide Level Supervision. 40-49 - Dongdong Gu, Xiaohuan Cao, Guocai Liu, Zhong Xue, Dinggang Shen:
Variational Encoding and Decoding for Hybrid Supervision of Registration Network. 50-60 - Dongdong Gu, Xiaohuan Cao, Guocai Liu, Dinggang Shen, Zhong Xue:
Multiresolution Registration Network (MRN) Hierarchy with Prior Knowledge Learning. 61-69 - Jie Wei, Yongsheng Pan
, Yong Xia, Dinggang Shen:
Learning to Synthesize 7 T MRI from 3 T MRI with Few Data by Deformable Augmentation. 70-79 - Jingya Liu, Oguz Akin, Yingli Tian
:
Rethinking Pulmonary Nodule Detection in Multi-view 3D CT Point Cloud Representation. 80-90 - Ivan Drokin
, Elena Ericheva
:
End-to-End Lung Nodule Detection Framework with Model-Based Feature Projection Block. 91-100 - Yingying Zhu, Shuai Wang, Qingyu Chen, Sungwon Lee, Thomas C. Shen, Daniel C. Elton, Zhiyong Lu, Ronald M. Summers:
Learning Structure from Visual Semantic Features and Radiology Ontology for Lymph Node Classification on MRI. 101-109 - Zhanghexuan Ji, Mohammad Abuzar Shaikh
, Dana Moukheiber, Sargur N. Srihari, Yifan Peng
, Mingchen Gao:
Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment. 110-119 - Zuhui Wang, Zhaozheng Yin:
Cell Counting by a Location-Aware Network. 120-129 - Mingxin Jiang, Shimin Yang, Zhongbo Zhao, Jiadong Yan, Yuzhong Chen, Tuo Zhang, Shu Zhang, Benjamin Becker, Keith M. Kendrick
, Xi Jiang
:
Exploring Gyro-Sulcal Functional Connectivity Differences Across Task Domains via Anatomy-Guided Spatio-Temporal Graph Convolutional Networks. 130-139 - Islem Mhiri
, Mohamed Ali Mahjoub
, Islem Rekik
:
StairwayGraphNet for Inter- and Intra-modality Multi-resolution Brain Graph Alignment and Synthesis. 140-150 - Xiao Qi, David J. Foran, John L. Nosher, Ilker Hacihaliloglu
:
Multi-Feature Semi-Supervised Learning for COVID-19 Diagnosis from Chest X-Ray Images. 151-160 - Nimrod Sagie, Hayit Greenspan, Jacob Goldberger:
Transfer Learning with a Layer Dependent Regularization for Medical Image Segmentation. 161-170 - Yue Sun
, Kun Gao
, Weili Lin, Gang Li, Sijie Niu, Li Wang
:
Multi-scale Self-supervised Learning for Multi-site Pediatric Brain MR Image Segmentation with Motion/Gibbs Artifacts. 171-179 - Yutong Yan
, Pierre-Henri Conze, Mathieu Lamard, Heng Zhang, Gwenolé Quellec
, Béatrice Cochener, Gouenou Coatrieux:
Deep Active Learning for Dual-View Mammogram Analysis. 180-189 - Shuangchi He, Zehui Lin, Xin Yang, Chaoyu Chen, Jian Wang, Xue Shuang, Ziwei Deng, Qin Liu, Yan Cao, Xiduo Lu, Ruobing Huang, Nishant Ravikumar
, Alejandro Frangi
, Yuanji Zhang
, Yi Xiong, Dong Ni:
Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound. 190-198 - Peng Liu, Guoyan Zheng:
Semi-supervised Learning Regularized by Adversarial Perturbation and Diversity Maximization. 199-208 - Ignacio Sarasua, Sebastian Pölsterl
, Christian Wachinger
:
TransforMesh: A Transformer Network for Longitudinal Modeling of Anatomical Meshes. 209-218 - Wenjun Shen, Liyun Chen, Dongming Wei, Yuanfang Qiao, Yiqiang Zhan, Dinggang Shen, Qian Wang:
A Recurrent Two-Stage Anatomy-Guided Network for Registration of Liver DCE-MRI. 219-227 - Yu Li, Jiale Cheng, Xin Zhang, Ruiyan Fang, Lufan Liao, Xinyao Ding, Hao Ni
, Xiangmin Xu, Zhengwang Wu, Dan Hu, Weili Lin, Li Wang
, John H. Gilmore, Gang Li:
Learning Infant Brain Developmental Connectivity for Cognitive Score Prediction. 228-237 - Federica Proietto Salanitri
, Giovanni Bellitto, Ismail Irmakci
, Simone Palazzo, Ulas Bagci, Concetto Spampinato:
Hierarchical 3D Feature Learning forPancreas Segmentation. 238-247 - Heng Wang
, Chaoyi Zhang, Jianhui Yu, Yang Song
, Siqi Liu, Wojciech Chrzanowski, Weidong Cai
:
Voxel-Wise Cross-Volume Representation Learning for 3D Neuron Reconstruction. 248-257 - Zehong Cao, Feng Shi
, Qiang Xu, Gaoping Liu, Tianyang Sun, Xiaodan Xing, Yichu He, Guangming Lu, Zhiqiang Zhang, Dinggang Shen:
Diagnosis of Hippocampal Sclerosis from Clinical Routine Head MR Images Using Structure-constrained Super-Resolution Network. 258-266 - Olivier Petit, Nicolas Thome, Clément Rambour, Loic Themyr, Toby Collins, Luc Soler:
U-Net Transformer: Self and Cross Attention for Medical Image Segmentation. 267-276 - Tal Tlusty, Michal Ozery-Flato, Vesna Resende Barros, Ella Barkan, Mika Amit, David Gruen, Michal Guindy, Tal Arazi, Mona Rozin, Michal Rosen-Zvi, Efrat Hexter:
Pre-biopsy Multi-class Classification of Breast Lesion Pathology in Mammograms. 277-286 - Yaocong Zou, Yonghong Shi:
Co-segmentation of Multi-modality Spinal Image Using Channel and Spatial Attention. 287-295 - Bolin Lai, Yuhsuan Wu, Xiao-Yun Zhou, Peng Wang, Le Lu, Lingyun Huang, Mei Han, Jing Xiao, Heping Hu, Adam P. Harrison
:
Hetero-Modal Learning and Expansive Consistency Constraints for Semi-supervised Detection from Multi-sequence Data. 296-305 - Fabian Gröger, Anne-Marie Rickmann
, Christian Wachinger
:
STRUDEL: Self-training with Uncertainty Dependent Label Refinement Across Domains. 306-316 - Othmane Laousy, Guillaume Chassagnon, Edouard Oyallon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou:
Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment. 317-326 - JayaChandra Raju, Gayatri Kompella, Keerthi Ram, Rajeswaran Rangasami, Rajoo Ramachandran, Mohanasankar Sivaprakasam:
MIST GAN: Modality Imputation Using Style Transfer for MRI. 327-336 - Suhyeon Jeong, Seungkyu Lee:
Biased Extrapolation in Latent Space forImbalanced Deep Learning. 337-346 - Sheng Wang, Zixu Zhuang, Kai Xuan, Dahong Qian, Zhong Xue, Jia Xu, Ying Liu, Yiming Chai, Lichi Zhang, Qian Wang, Dinggang Shen:
3DMeT: 3D Medical Image Transformer for Knee Cartilage Defect Assessment. 347-355 - Wenzheng Tao, Riddhish Bhalodia, Ross T. Whitaker:
A Gaussian Process Model for Unsupervised Analysis of High Dimensional Shape Data. 356-365 - Pooneh R. Tabrizi, Jonathan Zember, Bruce Michael Sprague, Steven Hoefer, Ramon Sánchez-Jacob, James Jago, Dorothy Bulas, Hans G. Pohl, Marius George Linguraru:
Standardized Analysis of Kidney Ultrasound Images for the Prediction of Pediatric Hydronephrosis Severity. 366-375 - Eren Bora Yilmaz, Christian Bürger, Tobias Fricke, Md Motiur Rahman Sagar, Jaime Peña, Cristian Lorenz, Claus-Christian Glüer, Carsten Meyer:
Automated Deep Learning-Based Detection of Osteoporotic Fractures in CT Images. 376-385 - Yunxiang Li
, Shuai Wang, Jun Wang, Guodong Zeng, Wenjun Liu, Qianni Zhang, Qun Jin, Yaqi Wang
:
GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentation. 386-395 - Ugur Demir, Ismail Irmakci
, Elif Keles
, Ahmet Topcu, Ziyue Xu, Concetto Spampinato, Sachin Jambawalikar
, Evrim Turkbey, Baris Turkbey, Ulas Bagci:
Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis. 396-405 - Reza Azad, Lucas Rouhier, Julien Cohen-Adad:
Stacked Hourglass Network with a Multi-level Attention Mechanism: Where to Look for Intervertebral Disc Labeling. 406-415 - Dayang Wang, Zhan Wu, Hengyong Yu
:
TED-Net: Convolution-Free T2T Vision Transformer-Based Encoder-Decoder Dilation Network for Low-Dose CT Denoising. 416-425 - Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
:
Self-supervised Mean Teacher for Semi-supervised Chest X-Ray Classification. 426-436 - Mengyang Zhao, Quan Liu, Aadarsh Jha, Ruining Deng
, Tianyuan Yao, Anita Mahadevan-Jansen, Matthew J. Tyska, Bryan A. Millis, Yuankai Huo:
VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning. 437-446 - Qingyong Zhu, Dong Liang:
Using Spatio-Temporal Correlation Based Hybrid Plug-and-Play Priors (SEABUS) for Accelerated Dynamic Cardiac Cine MRI. 447-456 - Ayaan Haque, Adam S. Wang, Abdullah-Al-Zubaer Imran
:
Window-Level Is a Strong Denoising Surrogate. 457-466 - Diego Machado Reyes
, Hanqing Chao
, Fatemeh Homayounieh
, Juergen Hahn
, Mannudeep K. Kalra
, Pingkun Yan
:
Cardiovascular Disease Risk Improves COVID-19 Patient Outcome Prediction. 467-476 - Shiv Gehlot, Anubha Gupta
:
Self-supervision Based Dual-Transformation Learning for Stain Normalization, Classification andSegmentation. 477-486 - Wenzhao Wei, Sacha Haidinger, John G. Lock
, Erik Meijering:
Deep Representation Learning for Image-Based Cell Profiling. 487-497 - Xiaoyang Han, Yuting Zhai, Ziqi Yu, Tingying Peng, Xiao-Yong Zhang:
Detecting Extremely Small Lesions in Mouse Brain MRI with Point Annotations via Multi-task Learning. 498-506 - Jianping Li, Zhiming Cui, Shuai Wang, Jie Wei, Jun Feng, Shu Liao, Dinggang Shen:
Morphology-Guided Prostate MRI Segmentation with Multi-slice Association. 507-516 - Runze Wang, Guoyan Zheng:
Unsupervised Cross-modality Cardiac Image Segmentation via Disentangled Representation Learning and Consistency Regularization. 517-526 - Jupeng Li, Yinghui Wang, Shuai Wang, Kai Zhang, Gang Li:
Landmark-Guided Rigid Registration for Temporomandibular Joint MRI-CBCT Images with Large Field-of-View Difference. 527-536 - Caiwen Jiang, Zhiming Cui, Dongming Wei, Yuhang Sun, Jiameng Liu, Jie Wei, Qun Chen, Dijia Wu, Dinggang Shen:
Spine-Rib Segmentation and Labeling via Hierarchical Matching and Rib-Guided Registration. 537-545 - Jiameng Liu, Zhiming Cui, Yuhang Sun, Caiwen Jiang, Zirong Chen, Hao Yang, Yuyao Zhang, Dijia Wu, Dinggang Shen:
Multi-scale Segmentation Network for Rib Fracture Classification from CT Images. 546-554 - Jun Luo, Gene Kitamura, Dooman Arefan, Emine Doganay, Ashok Panigrahy, Shandong Wu:
Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification. 555-564 - Alexis Perakis, Ali Gorji, Samriddhi Jain, Krishna Chaitanya, Simone Rizza, Ender Konukoglu:
Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification. 565-575 - Xiao Zhang
, Zhiming Cui, Jun Feng, Yanli Song, Dijia Wu, Dinggang Shen:
CorLab-Net: Anatomical Dependency-Aware Point-Cloud Learning for Automatic Labeling of Coronary Arteries. 576-585 - Ramy A. Zeineldin
, Mohamed E. Karar
, Franziska Mathis-Ullrich
, Oliver Burgert:
A Hybrid Deep Registration of MR Scans to Interventional Ultrasound for Neurosurgical Guidance. 586-595 - Alina Dima, Johannes C. Paetzold, Friederike Jungmann
, Tristan Lemke, Philipp Raffler, Georgios Kaissis, Daniel Rueckert, Rickmer Braren:
Segmentation of Peripancreatic Arteries in Multispectral Computed Tomography Imaging. 596-605 - Qin Liu, Han Deng, Chunfeng Lian, Xiaoyang Chen
, Deqiang Xiao, Lei Ma, Xu Chen, Tianshu Kuang
, Jaime Gateno
, Pew-Thian Yap, James J. Xia:
SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection. 606-614 - Qin Liu, Chunfeng Lian, Deqiang Xiao, Lei Ma, Hannah H. Deng, Xu Chen, Dinggang Shen, Pew-Thian Yap, James J. Xia:
Skull Segmentation from CBCT Images via Voxel-Based Rendering. 615-623 - Raphael Ronge, Kwangsik Nho, Christian Wachinger
, Sebastian Pölsterl
:
Alzheimer's Disease Diagnosis via Deep Factorization Machine Models. 624-633 - Kai Zhang, Jupeng Li, Ruohan Ma, Gang Li:
3D Temporomandibular Joint CBCT Image Segmentation via Multi-directional Resampling Ensemble Learning Network. 634-643 - Yoonmi Hong, Sahar Ahmad, Ye Wu, Siyuan Liu, Pew-Thian Yap:
Vox2Surf: Implicit Surface Reconstruction from Volumetric Data. 644-653 - Pablo Pino
, Denis Parra
, Cecilia Besa, Claudio Lagos
:
Clinically Correct Report Generation from Chest X-Rays Using Templates. 654-663 - Kai Lin, Biao Jie, Peng Dong, Xintao Ding, Weixin Bian, Mingxia Liu:
Extracting Sequential Features from Dynamic Connectivity Network with rs-fMRI Data for AD Classification. 664-673 - Peng Dong, Biao Jie, Lin Kai, Xintao Ding, Weixin Bian, Mingxia Liu:
Integration of Handcrafted and Embedded Features from Functional Connectivity Network with rs-fMRI forBrain Disease Classification. 674-681 - Tejas Sudharshan Mathai, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yifan Peng
, Zhiyong Lu, Ronald M. Summers:
Detection of Lymph Nodes in T2 MRI Using Neural Network Ensembles. 682-691 - Nahid Ul Islam, Shiv Gehlot, Zongwei Zhou, Michael B. Gotway, Jianming Liang
:
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection. 692-702
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