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Multimodal Self-Supervised Learning for Medical Image Analysis

11 December 2019

Papers citing "Multimodal Self-Supervised Learning for Medical Image Analysis"

28 / 28 papers shown

Title
MoCA: Multi-modal Cross-masked Autoencoder for Digital Health Measurements Howon Ryu Y. Chen Yacun Wang Andrea Z. LaCroix Chongzhi Di L. Natarajan Yu Wang Jingjing Zou 26 0 0 02 Jun 2025
Synergy-CLIP: Extending CLIP with Multi-modal Integration for Robust Representation Learning Sangyeon Cho Jangyeong Jeon Mingi Kim Junyeong Kim CLIP VLM 241 0 0 30 Apr 2025
ACE: Anatomically Consistent Embeddings in Composition and Decomposition Ziyu Zhou Haozhe Luo M. Taher Jiaxuan Pang Xiaowei Ding Michael B. Gotway Jianming Liang MedIm 167 0 0 20 Jan 2025
MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation Taha Koleilat Hojat Asgariandehkordi H. Rivaz Yiming Xiao MedIm VLM 132 9 0 28 Sep 2024
OneSeg: Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation YiXuan Wu B. Zheng Jintai Chen Benlin Liu Jian Wu 56 1 0 24 Sep 2023
Multi-Modal Hybrid Learning and Sequential Training for RGB-T Saliency Detection Guangyu Ren Jitesh Joshi Youngjun Cho 58 0 0 13 Sep 2023
A Survey of the Impact of Self-Supervised Pretraining for Diagnostic Tasks with Radiological Images Blake Vanberlo Jesse Hoey Alexander Wong SSL LM&MA 96 2 0 05 Sep 2023
CL-MRI: Self-Supervised Contrastive Learning to Improve the Accuracy of Undersampled MRI Reconstruction Mevan Ekanayake Zhiwen Chen Mehrtash Harandi Gary Egan Zhaolin Chen 85 3 0 01 Jun 2023
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities Hong Liu Dong Wei Donghuan Lu J. Sun Liansheng Wang Yefeng Zheng 73 51 0 09 Mar 2023
Joint Embedding of 2D and 3D Networks for Medical Image Anomaly Detection In-Joo Kang Jinah Park 3DH 55 1 0 21 Dec 2022
Attentive Symmetric Autoencoder for Brain MRI Segmentation Junjia Huang Haofeng Li Guanbin Li Xiang Wan MedIm 57 17 0 19 Sep 2022
Context-aware Self-supervised Learning for Medical Images Using Graph Neural Network Li Sun K. Yu Kayhan Batmanghelich SSL 49 1 0 06 Jul 2022
MISSU: 3D Medical Image Segmentation via Self-distilling TransUNet Nan Wang Shaohui Lin Xiaoxiao Li Ke Li Yunhang Shen Yue Gao Lizhuang Ma ViT MedIm 107 36 0 02 Jun 2022
Self-supervised Learning for Sonar Image Classification Alan Preciado-Grijalva Bilal Wehbe M. B. Firvida Matias Valdenegro-Toro SSL 69 17 0 20 Apr 2022
Deep learning based domain adaptation for mitochondria segmentation on EM volumes Daniel Franco-Barranco Julio Pastor-Tronch Aitor González-Marfil A. Muñoz-Barrutia Ignacio Arganda-Carreras 31 15 0 22 Feb 2022
Predicting Knee Osteoarthritis Progression from Structural MRI using Deep Learning E. Panfilov S. Saarakkala M. Nieminen A. Tiulpin MedIm 127 11 0 26 Jan 2022
Self-supervised learning methods and applications in medical imaging analysis: A survey Saeed Shurrab R. Duwairi OOD 130 188 0 17 Sep 2021
How Transferable Are Self-supervised Features in Medical Image Classification Tasks? T. Truong Sadegh Mohammadi Matthias Lenga 81 45 0 23 Aug 2021
A Survey of Human-in-the-loop for Machine Learning Xingjiao Wu Luwei Xiao Yixuan Sun Junhang Zhang Tianlong Ma Liangbo He SyDa 137 533 0 02 Aug 2021
Self-Supervised Multi-Modal Alignment for Whole Body Medical Imaging Rhydian Windsor A. Jamaludin T. Kadir Andrew Zisserman 72 16 0 14 Jul 2021
Towards Fine-grained Visual Representations by Combining Contrastive Learning with Image Reconstruction and Attention-weighted Pooling Jonas Dippel Steffen Vogler Johannes Höhne 95 22 0 09 Apr 2021
Self-Supervised Learning for Gastritis Detection with Gastric X-ray Images Guang Li Ren Togo Takahiro Ogawa Miki Haseyama 81 12 0 07 Apr 2021
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization Jizong Peng M. Pedersoli Christian Desrosiers SSL 82 21 0 08 Mar 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models Jialin Peng Ye Wang VLM 110 60 0 28 Feb 2021
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images Li Sun Ke Yu Kayhan Batmanghelich SSL 90 24 0 11 Dec 2020
Improving colonoscopy lesion classification using semi-supervised deep learning M. Golhar Taylor L. Bobrow M. Khoshknab S. Jit S. Ngamruengphong Nicholas J. Durr SSL 60 16 0 07 Sep 2020
3D Self-Supervised Methods for Medical Imaging Aiham Taleb W. Loetzsch Noel Danz Julius Severin Thomas Gaertner Benjamin Bergner C. Lippert SSL 131 214 0 06 Jun 2020
Learning to segment images with classification labels Ozan Ciga Anne L. Martel VLM 54 25 0 28 Dec 2019