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24th MICCAI 2021: Strasbourg, France - Part II
- Marleen de Bruijne
, Philippe C. Cattin
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12902, Springer 2021, ISBN 978-3-030-87195-6
Machine Learning - Self-Supervised Learning
- Jiajun Li, Tiancheng Lin
SSLP: Spatial Guided Self-supervised Learning on Pathological Images. 3-12 - Dani Kiyasseh, Albert Swiston, Ronghua Chen, Antong Chen:
Segmentation of Left Atrial MR Images via Self-supervised Semi-supervised Meta-learning. 13-24 - Junshen Xu, Elfar Adalsteinsson:
Deformed2Self: Self-supervised Denoising for Dynamic Medical Imaging. 25-35 - Hongwei Li
Imbalance-Aware Self-supervised Learning for 3D Radiomic Representations. 36-46 - Pengshuai Yang, Zhiwei Hong, Xiaoxu Yin, Chengzhan Zhu, Rui Jiang:
Self-supervised Visual Representation Learning for Histopathological Images. 47-57 - Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Michel Wessa, Paolo Brambilla, Pauline Favre, Mircea Polosan, Colm McDonald, Camille Marie Piguet, Mary L. Phillips, Lisa Eyler, Edouard Duchesnay:
Contrastive Learning with Continuous Proxy Meta-data for 3D MRI Classification. 58-68 - Pak-Hei Yeung
Sli2Vol: Annotate a 3D Volume from a Single Slice with Self-supervised Learning. 69-79 - Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli
Self-supervised Longitudinal Neighbourhood Embedding. 80-89 - Rhydian Windsor, Amir Jamaludin, Timor Kadir, Andrew Zisserman:
Self-supervised Multi-modal Alignment for Whole Body Medical Imaging. 90-101 - Quan Liu, Peter C. Louis, Yuzhe Lu, Aadarsh Jha, Mengyang Zhao, Ruining Deng
SimTriplet: Simple Triplet Representation Learning with a Single GPU. 102-112 - Yijin Huang, Li Lin, Pujin Cheng
Lesion-Based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images. 113-123 - Xiaoman Zhang, Shixiang Feng, Yuhang Zhou, Ya Zhang
SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation. 124-133 - Ruifei Zhang, Sishuo Liu, Yizhou Yu, Guanbin Li:
Self-supervised Correction Learning for Semi-supervised Biomedical Image Segmentation. 134-144 - Xihe Kuang
SpineGEM: A Hybrid-Supervised Model Generation Strategy Enabling Accurate Spine Disease Classification with a Small Training Dataset. 145-154 - Wenhui Lei
Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images. 155-165 - Tananun Songdechakraiwut, Li Shen, Moo K. Chung:
Topological Learning and Its Application to Multimodal Brain Network Integration. 166-176 - Qingsong Yao
One-Shot Medical Landmark Detection. 177-188 - Sergio Naval Marimont
Implicit Field Learning for Unsupervised Anomaly Detection in Medical Images. 189-198 - Yanwen Li, Luyang Luo, Huangjing Lin, Hao Chen
Dual-Consistency Semi-supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images. 199-209 - Bo Liu, Li-Ming Zhan, Xiao-Ming Wu
Contrastive Pre-training and Representation Distillation for Medical Visual Question Answering Based on Radiology Images. 210-220 - Dewen Zeng, Yawen Wu, Xinrong Hu, Xiaowei Xu, Haiyun Yuan, Meiping Huang, Jian Zhuang, Jingtong Hu, Yiyu Shi:
Positional Contrastive Learning for Volumetric Medical Image Segmentation. 221-230 - Raphaël Couronné, Paul Vernhet, Stanley Durrleman:
Longitudinal Self-supervision to Disentangle Inter-patient Variability from Disease Progression. 231-241 - Rohit Jena, Sumedha Singla, Kayhan Batmanghelich:
Self-supervised Vessel Enhancement Using Flow-Based Consistencies. 242-251 - Ziteng Zhao, Guanyu Yang:
Unsupervised Contrastive Learning of Radiomics and Deep Features for Label-Efficient Tumor Classification. 252-261 - Fenqiang Zhao, Zhengwang Wu
Learning 4D Infant Cortical Surface Atlas with Unsupervised Spherical Networks. 262-272 - Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth J. Berkowitz, Steven Horng, Polina Golland, William M. Wells III:
Multimodal Representation Learning via Maximization of Local Mutual Information. 273-283 - Wonsik Jung
Inter-regional High-Level Relation Learning from Functional Connectivity via Self-supervision. 284-293
Machine Learning - Semi-Supervised Learning
- Yicheng Wu
Semi-supervised Left Atrium Segmentation with Mutual Consistency Training. 297-306 - Xiao Liu, Spyridon Thermos, Alison O'Neil, Sotirios A. Tsaftaris:
Semi-supervised Meta-learning with Disentanglement for Domain-Generalised Medical Image Segmentation. 307-317 - Xiangde Luo
Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency. 318-329 - Shaohua Li, Xiuchao Sui
Few-Shot Domain Adaptation with Polymorphic Transformers. 330-340 - Youbao Tang, Ke Yan, Jinzheng Cai, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu:
Lesion Segmentation and RECIST Diameter Prediction via Click-Driven Attention and Dual-Path Connection. 341-351 - Xiangyun Zeng, Rian Huang, Yuming Zhong, Dong Sun, Chu Han, Di Lin, Dong Ni, Yi Wang:
Reciprocal Learning for Semi-supervised Segmentation. 352-361 - Fan Yang, Rui Meng, Hyuna Cho, Guorong Wu, Won Hwa Kim:
Disentangled Sequential Graph Autoencoder for Preclinical Alzheimer's Disease Characterizations from ADNI Study. 362-372 - Reda Abdellah Kamraoui
POPCORN: Progressive Pseudo-Labeling with Consistency Regularization and Neighboring. 373-382 - Yaqub Jonmohamadi, Shahnewaz Ali, Fengbei Liu, Jonathan Roberts, Ross Crawford, Gustavo Carneiro
3D Semantic Mapping from Arthroscopy Using Out-of-Distribution Pose and Depth and In-Distribution Segmentation Training. 383-393 - Lei Zhu
Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation. 394-404 - Kristine Aavild Juhl
Implicit Neural Distance Representation for Unsupervised and Supervised Classification of Complex Anatomies. 405-415 - Huimin Huang, Nan Zhou, Lanfen Lin, Hongjie Hu, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
3D Graph-S2Net: Shape-Aware Self-ensembling Network for Semi-supervised Segmentation with Bilateral Graph Convolution. 416-427 - Himashi Peiris
Duo-SegNet: Adversarial Dual-Views for Semi-supervised Medical Image Segmentation. 428-438 - Renzhen Wang
Neighbor Matching for Semi-supervised Learning. 439-449 - Kaiping Wang, Bo Zhan, Chen Zu, Xi Wu, Jiliu Zhou, Luping Zhou
Tripled-Uncertainty Guided Mean Teacher Model for Semi-supervised Medical Image Segmentation. 450-460 - Ruoyu Guo, Maurice Pagnucco, Yang Song
Learning with Noise: Mask-Guided Attention Model for Weakly Supervised Nuclei Segmentation. 461-470 - Shota Harada, Ryoma Bise, Hideaki Hayashi
Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels. 471-480 - Xinrong Hu, Dewen Zeng, Xiaowei Xu, Yiyu Shi:
Semi-supervised Contrastive Learning for Label-Efficient Medical Image Segmentation. 481-490 - Badr Tajini
Functional Magnetic Resonance Imaging Data Augmentation Through Conditional ICA. 491-500 - Ricardo Sanchez-Matilla, Maria Robu, Imanol Luengo, Danail Stoyanov:
Scalable Joint Detection and Segmentation of Surgical Instruments with Weak Supervision. 501-511
Machine Learning - Weakly Supervised Learning
- Youbao Tang, Jinzheng Cai, Ke Yan, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu:
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss. 515-525 - Juan Wang
Bounding Box Tightness Prior for Weakly Supervised Image Segmentation. 526-536 - Luyang Luo, Hao Chen
OXnet: Deep Omni-Supervised Thoracic Disease Detection from Chest X-Rays. 537-548 - Xiaofeng Liu, Fangxu Xing, Chao Yang, Georges El Fakhri, Jonghye Woo:
Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation. 549-559 - Tianfei Zhou
Quality-Aware Memory Network for Interactive Volumetric Image Segmentation. 560-570 - Riddhish Bhalodia, Ali Hatamizadeh, Leo K. Tam, Ziyue Xu, Xiaosong Wang
Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports. 571-581 - Yunan Wu, Arne Schmidt
Combining Attention-Based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection. 582-591 - Song Wang
CPNet: Cycle Prototype Network for Weakly-Supervised 3D Renal Compartments Segmentation on CT Images. 592-602 - Khaled Saab
Observational Supervision for Medical Image Classification Using Gaze Data. 603-614 - Reuben Dorent
Inter Extreme Points Geodesics for End-to-End Weakly Supervised Image Segmentation. 615-624 - Bhavani Sambaturu, Ashutosh Gupta, C. V. Jawahar, Chetan Arora:
Efficient and Generic Interactive Segmentation Framework to Correct Mispredictions During Clinical Evaluation of Medical Images. 625-635 - Valentin Anklin, Pushpak Pati, Guillaume Jaume, Behzad Bozorgtabar
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels Using Tissue Graphs. 636-646 - Lucas Fidon, Michael Aertsen, Doaa Emam, Nada Mufti, Frédéric Guffens, Thomas Deprest, Philippe Demaerel, Anna L. David
Label-Set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation. 647-657
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