3D Self-Supervised Methods for Medical Imaging

6 June 2020

Papers citing "3D Self-Supervised Methods for Medical Imaging"

45 / 45 papers shown

Title
ConceptVAE: Self-Supervised Fine-Grained Concept Disentanglement from 2D Echocardiographies C. Ciușdel Alex Serban Tiziano Passerini CoGe 74 1 0 03 Feb 2025
A generalizable 3D framework and model for self-supervised learning in medical imaging Tony Xu Sepehr Hosseini Chris Anderson Anthony Rinaldi Rahul G. Krishnan Anne L. Martel Maged Goubran MedIm 56 3 0 20 Jan 2025
MedMAE: A Self-Supervised Backbone for Medical Imaging Tasks Anubhav Gupta Islam I. Osman Mohamed S. Shehata John W. Braun 29 1 0 20 Jul 2024
AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-guided Self-masking Yuheng Li Tianyu Luan Yizhou Wu Shaoyan Pan Yenho Chen Xiaofeng Yang 40 5 0 09 Jul 2024
Self-supervised Learning via Cluster Distance Prediction for Operating Room Context Awareness Idris Hamoud Alexandros Karargyris Aidean Sharghi Omid Mohareri N. Padoy SSL 36 1 0 07 Jul 2024
MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis Jiaxin Zhuang Linshan Wu Qiong Wang V. Vardhanabhuti Lin Luo Hao Chen Hao Chen 57 4 0 24 Apr 2024
BC-MRI-SEG: A Breast Cancer MRI Tumor Segmentation Benchmark Anthony Bilic Chen Chen OOD 43 0 0 21 Apr 2024
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain Amin Karimi Monsefi Payam Karisani Mengxi Zhou Stacey S. Choi Nathan Doble Heng Ji Srinivasan Parthasarathy R. Ramnath 43 5 0 09 Feb 2024
AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative Normalization Chuyan Zhang Yuncheng Yang Hao Zheng Yun Gu 37 0 0 28 Jul 2023
Weakly Supervised AI for Efficient Analysis of 3D Pathology Samples Andrew H. Song Mane Williams Drew F. K. Williamson Guillaume Jaume Andrew Zhang ... R. Serafin Jonathan T. C. Liu Alexander S. Baras Anil V. Parwani Faisal Mahmood 17 4 0 27 Jul 2023
vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-level Representations in Medical Images M. Goncharov Vera Soboleva Anvar Kurmukov Maxim Pisov Mikhail Belyaev SSL 15 10 0 27 Jul 2023
PRIOR: Prototype Representation Joint Learning from Medical Images and Reports Pujin Cheng Li Lin Junyan Lyu Yijin Huang Wenhan Luo Xiaoying Tang MedIm 37 45 0 24 Jul 2023
Context-Aware Self-Supervised Learning of Whole Slide Images Milan Aryal Nasim Yahya Soltani 22 5 0 07 Jun 2023
Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data Paul Hager M. Menten Daniel Rueckert 29 47 0 24 Mar 2023
Knowledge-enhanced Visual-Language Pre-training on Chest Radiology Images Xiaoman Zhang Chaoyi Wu Ya Zhang Yanfeng Wang Weidi Xie MedIm 44 121 0 27 Feb 2023
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images K. Yu Li Sun Junxiang Chen Maxwell Reynolds Tigmanshu Chaudhary Kayhan Batmanghelich 25 1 0 21 Feb 2023
Revisiting Hidden Representations in Transfer Learning for Medical Imaging Dovile Juodelyte Amelia Jiménez-Sánchez V. Cheplygina OOD 19 1 0 16 Feb 2023
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images Wei-Chien Wang Euijoon Ahn Da-wei Feng Jinman Kim MedIm 27 27 0 10 Feb 2023
PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis Hong-Yu Zhou Chi-Ken Lu Chaoqi Chen Sibei Yang Yizhou Yu 42 52 0 02 Jan 2023
Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering D. M. Nguyen Hoangvu Nguyen M. T. N. Truong T. Cao Binh Duc Nguyen Nhat Ho Paul Swoboda Shadi Albarqouni P. Xie Daniel Sonntag SSL 29 21 0 04 Dec 2022
A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images Hongwei Bran Li Chinmay Prabhakar Suprosanna Shit Johannes C. Paetzold Tamaz Amiranashvili Jianguo Zhang Daniel Rueckert Juan Eugenio Iglesias Benedikt Wiestler Bjoern H. Menze OOD SSL 30 2 0 03 Dec 2022
Heterogeneous Graph Learning for Multi-modal Medical Data Analysis Sein Kim Namkyeong Lee Junseok Lee Dongmin Hyun Chanyoung Park 30 24 0 28 Nov 2022
Prompt Tuning for Parameter-efficient Medical Image Segmentation Marc Fischer Alexander Bartler Bin Yang SSeg 24 18 0 16 Nov 2022
IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image Segmentation Hritam Basak Soumitri Chattopadhyay Rohit Kundu Sayan Nag R. Mallipeddi SSL 14 8 0 26 Oct 2022
Contrastive Image Synthesis and Self-supervised Feature Adaptation for Cross-Modality Biomedical Image Segmentation Xinrong Hu Corey Wang Yiyu Shi MedIm 43 1 0 27 Jul 2022
Self-Supervised Learning as a Means To Reduce the Need for Labeled Data in Medical Image Analysis Marin Benvcević Marija Habijan Irena Galić A. Pižurica SSL 30 6 0 01 Jun 2022
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT) Jue Jiang N. Tyagi K. Tringale C. Crane Harini Veeraraghavan MedIm 36 34 0 20 May 2022
Resource-efficient domain adaptive pre-training for medical images Y. Mehmood U. I. Bajwa Xianfang Sun 19 1 0 28 Apr 2022
Masked Image Modeling Advances 3D Medical Image Analysis Zekai Chen Devansh Agarwal Kshitij Aggarwal Wiem Safta Samit Hirawat V. Sethuraman Mariann Micsinai Balan Kevin Brown 33 69 0 25 Apr 2022
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis F. Haghighi M. Taher Michael B. Gotway Jianming Liang MedIm 19 72 0 21 Apr 2022
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis Yucheng Tang Dong Yang Wenqi Li H. Roth Bennett Landman Daguang Xu V. Nath Ali Hatamizadeh ViT MedIm 42 517 0 29 Nov 2021
Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels Benoit Dufumier Pietro Gori J. Victor Antoine Grigis Edouard Duchesnay MedIm 18 6 0 10 Nov 2021
Self-Supervised Representation Learning: Introduction, Advances and Challenges Linus Ericsson Henry Gouk Chen Change Loy Timothy M. Hospedales SSL OOD AI4TS 34 273 0 18 Oct 2021
Self-Supervised Learning for 3D Medical Image Analysis using 3D SimCLR and Monte Carlo Dropout Yamen Ali Aiham Taleb Marina M.-C. Höhne C. Lippert SSL 3DPC 24 6 0 29 Sep 2021
Self-supervised learning methods and applications in medical imaging analysis: A survey Saeed Shurrab R. Duwairi OOD 37 176 0 17 Sep 2021
Self-supervised Tumor Segmentation through Layer Decomposition Xiaoman Zhang Weidi Xie Chaoqin Huang Yanfeng Wang Ya Zhang Xin Chen Qi Tian 29 6 0 07 Sep 2021
How Transferable Are Self-supervised Features in Medical Image Classification Tasks? T. Truong Sadegh Mohammadi Matthias Lenga 42 45 0 23 Aug 2021
On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy Vignesh Srinivasan Nils Strodthoff Jackie Ma Alexander Binder Klaus-Robert Muller Wojciech Samek OOD 20 6 0 25 Jun 2021
Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification Benoit Dufumier Pietro Gori J. Victor Antoine Grigis M. Wessa ... P. Favre M. Polosan C. Mcdonald C. Piguet Edouard Duchesnay SSL 24 66 0 16 Jun 2021
Recent advances and clinical applications of deep learning in medical image analysis Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu OOD 18 572 0 27 May 2021
Medical Transformer: Universal Brain Encoder for 3D MRI Analysis E. Jun Seungwoo Jeong Da-Woon Heo Heung-Il Suk ViT MedIm 40 42 0 28 Apr 2021
Self-Supervised Vessel Enhancement Using Flow-Based Consistencies Rohit Jena Sumedha Singla Kayhan Batmanghelich 30 5 0 13 Jan 2021
Can Temporal Information Help with Contrastive Self-Supervised Learning? Yutong Bai Haoqi Fan Ishan Misra Ganesh Venkatesh Yongyi Lu Yuyin Zhou Qihang Yu Vikas Chandra Alan Yuille 24 40 0 25 Nov 2020
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation Yutong Xie Jianpeng Zhang Zehui Liao Yong-quan Xia Chunhua Shen 18 46 0 25 Nov 2020
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 254 2,550 0 25 Jan 2016