default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID24th MICCAI 2021: Strasbourg, France - Part II
- Marleen de Bruijne
, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
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, Yi Xu:
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, Fei-Fei Xue, Krishna Chaitanya, Shengda Luo, Ivan Ezhov, Benedikt Wiestler, Jianguo Zhang, Bjoern H. Menze:
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, Ana I. L. Namburete, Weidi Xie:
Sli2Vol: Annotate a 3D Volume from a Single Slice with Self-supervised Learning. 69-79 - Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Edith V. Sullivan, Adolf Pfefferbaum, Greg Zaharchuk, Kilian M. Pohl:
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, Tianyuan Yao, Joseph T. Roland, Haichun Yang, Shilin Zhao, Lee E. Wheless, Yuankai Huo:
SimTriplet: Simple Triplet Representation Learning with a Single GPU. 102-112 - Yijin Huang, Li Lin, Pujin Cheng, Junyan Lyu, Xiaoying Tang:
Lesion-Based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images. 113-123 - Xiaoman Zhang, Shixiang Feng, Yuhang Zhou, Ya Zhang, Yanfeng Wang:
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, Jason Pui Yin Cheung, Xiaowei Ding, Teng Zhang:
SpineGEM: A Hybrid-Supervised Model Generation Strategy Enabling Accurate Spine Disease Classification with a Small Training Dataset. 145-154 - Wenhui Lei, Wei Xu, Ran Gu, Hao Fu, Shaoting Zhang, Shichuan Zhang, Guotai Wang:
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, Quan Quan, Li Xiao, S. Kevin Zhou:
One-Shot Medical Landmark Detection. 177-188 - Sergio Naval Marimont, Giacomo Tarroni:
Implicit Field Learning for Unsupervised Anomaly Detection in Medical Images. 189-198 - Yanwen Li, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng:
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, Li Wang, Weili Lin, Shunren Xia, Gang Li:
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, Da-Woon Heo, Eunjin Jeon, Jaein Lee, Heung-Il Suk:
Inter-regional High-Level Relation Learning from Functional Connectivity via Self-supervision. 284-293
Machine Learning - Semi-Supervised Learning
- Yicheng Wu, Minfeng Xu, Zongyuan Ge, Jianfei Cai, Lei Zhang:
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, Wenjun Liao, Jieneng Chen, Tao Song, Yinan Chen, Shichuan Zhang, Nianyong Chen, Guotai Wang, Shaoting Zhang:
Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency. 318-329 - Shaohua Li, Xiuchao Sui, Jie Fu, Huazhu Fu, Xiangde Luo, Yangqin Feng, Xinxing Xu, Yong Liu, Daniel Shu Wei Ting, Rick Siow Mong Goh:
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, Vinh-Thong Ta, Nicolas Papadakis, Fanny Compaire, José V. Manjón, Pierrick Coupé:
POPCORN: Progressive Pseudo-Labeling with Consistency Regularization and Neighboring. 373-382 - Yaqub Jonmohamadi, Shahnewaz Ali, Fengbei Liu, Jonathan Roberts, Ross Crawford, Gustavo Carneiro, Ajay K. Pandey:
3D Semantic Mapping from Arthroscopy Using Out-of-Distribution Pose and Depth and In-Distribution Segmentation Training. 383-393 - Lei Zhu, Kaiyuan Yang, Meihui Zhang, Ling Ling Chan, Teck Khim Ng, Beng Chin Ooi:
Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation. 394-404 - Kristine Aavild Juhl, Xabier Morales, Ole De Backer, Oscar Camara, Rasmus Reinhold Paulsen:
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, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi:
Duo-SegNet: Adversarial Dual-Views for Semi-supervised Medical Image Segmentation. 428-438 - Renzhen Wang, Yichen Wu, Huai Chen, Lisheng Wang, Deyu Meng:
Neighbor Matching for Semi-supervised Learning. 439-449 - Kaiping Wang, Bo Zhan, Chen Zu, Xi Wu, Jiliu Zhou, Luping Zhou, Yan Wang:
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, Kiyohito Tanaka, Seiichi Uchida:
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, Hugo Richard, Bertrand Thirion:
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, Bin Xia:
Bounding Box Tightness Prior for Weakly Supervised Image Segmentation. 526-536 - Luyang Luo, Hao Chen, Yanning Zhou, Huangjing Lin, Pheng-Ann Heng:
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, Liulei Li, Gustav Bredell, Jianwu Li, Ender Konukoglu:
Quality-Aware Memory Network for Interactive Volumetric Image Segmentation. 560-570 - Riddhish Bhalodia, Ali Hatamizadeh, Leo K. Tam, Ziyue Xu, Xiaosong Wang, Evrim Turkbey, Daguang Xu:
Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports. 571-581 - Yunan Wu, Arne Schmidt, Enrique Hernández-Sánchez, Rafael Molina, Aggelos K. Katsaggelos:
Combining Attention-Based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection. 582-591 - Song Wang, Yuting He, Youyong Kong, Xiaomei Zhu, Shaobo Zhang, Pengfei Shao, Jean-Louis Dillenseger, Jean-Louis Coatrieux, Shuo Li, Guanyu Yang:
CPNet: Cycle Prototype Network for Weakly-Supervised 3D Renal Compartments Segmentation on CT Images. 592-602 - Khaled Saab, Sarah M. Hooper, Nimit Sharad Sohoni, Jupinder Parmar, Brian Pogatchnik, Sen Wu, Jared A. Dunnmon, Hongyang R. Zhang, Daniel L. Rubin, Christopher Ré:
Observational Supervision for Medical Image Classification Using Gaze Data. 603-614 - Reuben Dorent, Samuel Joutard, Jonathan Shapey, Aaron Kujawa, Marc Modat, Sébastien Ourselin, Tom Vercauteren:
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, Antonio Foncubierta-Rodríguez, Jean-Philippe Thiran, Mathilde Sibony, Maria Gabrani, Orcun Goksel:
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, Andrew Melbourne, Sébastien Ourselin, Jan Deprest, Tom Vercauteren:
Label-Set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation. 647-657
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2026-01-15 23:58 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
