Title
Intra-video Positive Pairs in Self-Supervised Learning for Ultrasound Blake Vanberlo Alexander Wong Jesse Hoey R. Arntfield 46 2 0 12 Mar 2024
Fine-tuning a Multiple Instance Learning Feature Extractor with Masked Context Modelling and Knowledge Distillation Juan Pisula Katarzyna Bozek 40 2 0 08 Mar 2024
BarlowTwins-CXR : Enhancing Chest X-Ray abnormality localization in heterogeneous data with cross-domain self-supervised learning Haoyue Sheng Linrui Ma Jean-Francois Samson Dianbo Liu SSL 28 5 0 09 Feb 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
Exploring the Synergies of Hybrid CNNs and ViTs Architectures for Computer Vision: A survey Haruna Yunusa Shiyin Qin Abdulrahman Hamman Adama Chukkol Abdulganiyu Abdu Yusuf Isah Bello A. Lawan ViT 43 13 0 05 Feb 2024
Review of multimodal machine learning approaches in healthcare "Felix H. Krones Umar Marikkar Guy Parsons Adam Szmul Adam Mahdi 40 27 0 04 Feb 2024
Exploring Intrinsic Properties of Medical Images for Self-Supervised Binary Semantic Segmentation P. Singh Jacopo Cirrone 16 0 0 04 Feb 2024
Exploring scalable medical image encoders beyond text supervision Fernando Pérez-García Harshita Sharma Sam Bond-Taylor Kenza Bouzid Valentina Salvatelli ... Maria T. A. Wetscherek Noel C. F. Codella Stephanie L. Hyland Javier Alvarez-Valle Ozan Oktay LM&MA MedIm 50 9 0 19 Jan 2024
A Study on Self-Supervised Pretraining for Vision Problems in Gastrointestinal Endoscopy Edward Sanderson B. Matuszewski 23 2 0 11 Jan 2024
GTA: Guided Transfer of Spatial Attention from Object-Centric Representations SeokHyun Seo Jinwoo Hong Jungwoo Chae Kyungyul Kim Sangheum Hwang 37 0 0 05 Jan 2024
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs T. Emre A. Chakravarty Antoine Rivail Dmitrii Lachinov Oliver Leingang ... S. Sivaprasad Daniel Rueckert A. Lotery U. Schmidt-Erfurth Hrvoje Bogunović MedIm 29 3 0 28 Dec 2023
A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels Dana Cohen Hochberg H. Greenspan Raja Giryes 32 11 0 26 Dec 2023
NearbyPatchCL: Leveraging Nearby Patches for Self-Supervised Patch-Level Multi-Class Classification in Whole-Slide Images Gia-Bao Le Van-Tien Nguyen Trung-Truc Huynh-Le Minh-Triet Tran 24 0 0 12 Dec 2023
CLIP in Medical Imaging: A Comprehensive Survey Zihao Zhao Yuxiao Liu Han Wu Yonghao Li Sheng Wang L. Teng Disheng Liu Zhiming Cui Qian Wang Dinggang Shen CLIP MedIm LM&MA VLM 31 43 0 12 Dec 2023
Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis Zihao Zhao Sheng Wang Qian Wang Dinggang Shen MedIm 36 5 0 11 Dec 2023
Latent Space Explorer: Visual Analytics for Multimodal Latent Space Exploration Bum Chul Kwon S. Friedman Kai Xu S. Lubitz Anthony Philippakis P. Batra P. Ellinor Kenney Ng 21 0 0 01 Dec 2023
Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning Yiwen Ye Yutong Xie Jianpeng Zhang Ziyang Chen Qi Wu Yong-quan Xia CLL 34 14 0 29 Nov 2023
Echocardiogram Foundation Model -- Application 1: Estimating Ejection Fraction Adil Dahlan C. Zakka Abhinav Kumar Laura Tang R. Shad R. Fong W. Hiesinger 32 2 0 21 Nov 2023
Self-Supervised Versus Supervised Training for Segmentation of Organoid Images Asmaa Haja Eric Brouwer Lambert Schomaker 22 1 0 19 Nov 2023
MoCo-Transfer: Investigating out-of-distribution contrastive learning for limited-data domains Yuwen Chen Helen Zhou Zachary Chase Lipton 27 1 0 15 Nov 2023
Rotation-Agnostic Image Representation Learning for Digital Pathology Saghir Alfasly A. Shafique Peyman Nejat Jibran A. Khan Areej Alsaafin Ghazal Alabtah H. R. Tizhoosh MedIm 32 6 0 14 Nov 2023
From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image Segmentation Ruxue Wen Hangjie Yuan Dong Ni Wenbo Xiao Yaoyao Wu OOD 27 12 0 31 Oct 2023
Self-Supervised Multi-Modality Learning for Multi-Label Skin Lesion Classification Hao Wang Euijoon Ahn Lei Bi Jinman Kim 28 1 0 28 Oct 2023
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge G. Holste Yiliang Zhou Song Wang Ajay Jaiswal Mingquan Lin ... Zhiyong Lu Ronald M. Summers George Shih Zhangyang Wang Yifan Peng 31 13 0 24 Oct 2023
A comprehensive survey on deep active learning in medical image analysis Haoran Wang Q. Jin Shiman Li Siyu Liu Manning Wang Zhijian Song VLM 46 23 0 22 Oct 2023
SegLoc: Visual Self-supervised Learning Scheme for Dense Prediction Tasks of Security Inspection X-ray Images Shervin Halat Mohammad Rahmati Ehsan Nazerfard 46 0 0 12 Oct 2023
Multi-domain improves out-of-distribution and data-limited scenarios for medical image analysis Ece Ozkan Xavier Boix OOD 28 0 0 10 Oct 2023
Data efficient deep learning for medical image analysis: A survey Suruchi Kumari Pravendra Singh 40 12 0 10 Oct 2023
C^2M-DoT: Cross-modal consistent multi-view medical report generation with domain transfer network Ruizhi Wang Xiang-Fei Wang Jie Zhou Thomas Lukasiewicz Zhenghua Xu 32 1 0 09 Oct 2023
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis Raman Dutt Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales 24 14 0 08 Oct 2023
Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models An Yan Yu-Xiang Wang Yiwu Zhong Zexue He Petros Karypis ... Chengyu Dong Amilcare Gentili Chun-Nan Hsu Jingbo Shang Julian McAuley 27 30 0 04 Oct 2023
Capturing Requirements for a Data Annotation Tool for Intensive Care: Experimental User-Centered Design Study Maximilian Schöffel Raúl Santos-Rodríguez C. McWilliams Christopher P Bourdeaux 14 1 0 28 Sep 2023
Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-Supervision M. Taher Michael B. Gotway Jianming Liang MedIm 19 11 0 27 Sep 2023
I-AI: A Controllable & Interpretable AI System for Decoding Radiologists' Intense Focus for Accurate CXR Diagnoses Trong-Thang Pham Jacob Brecheisen Anh Nguyen Hien Nguyen Ngan Le 19 11 0 24 Sep 2023
Understanding Calibration of Deep Neural Networks for Medical Image Classification A. Sambyal Usma Niyaz N. C. Krishnan Deepti R. Bathula 17 7 0 22 Sep 2023
Unlocking the Heart Using Adaptive Locked Agnostic Networks Sylwia Majchrowska Anders Hildeman Philip Teare Tom Diethe 21 1 0 21 Sep 2023
Video and Synthetic MRI Pre-training of 3D Vision Architectures for Neuroimage Analysis Nikhil J. Dhinagar Amit Singh Saket Ozarkar Ketaki Buwa Sophia I Thomopoulos ... Corey McMillan Chih-Chien Tsai Jiun-Jie Wang Yih-Ru Wu Paul M. Thompson MedIm 24 2 0 09 Sep 2023
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays Aroof Aimen Arsh Verma Makarand Tapaswi N. C. Krishnan 35 0 0 08 Sep 2023
Self-Supervised Pretraining Improves Performance and Inference Efficiency in Multiple Lung Ultrasound Interpretation Tasks Blake Vanberlo Brian Li Jesse Hoey Alexander Wong 19 3 0 05 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 18 2 0 05 Sep 2023
Efficient Representation Learning for Healthcare with Cross-Architectural Self-Supervision P. Singh Jacopo Cirrone OOD SSL 27 2 0 19 Aug 2023
Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images Soroosh Tayebi Arasteh Leo Misera Jakob Nikolas Kather Daniel Truhn S. Nebelung 33 8 0 15 Aug 2023
Leveraging multi-view data without annotations for prostate MRI segmentation: A contrastive approach Tim Nikolass Lindeijer Tord Martin Ytredal T. Eftestøl T. Nordström F. Jäderling M. Eklund Alvaro Fernandez-Quilez 14 5 0 12 Aug 2023
Robust Asymmetric Loss for Multi-Label Long-Tailed Learning Wongi Park Inhyuk Park Sungeun Kim Jongbin Ryu OOD 38 7 0 10 Aug 2023
Incorporating Pre-training Data Matters in Unsupervised Domain Adaptation Yinsong Xu Aidong Men Yang Liu Qingchao Chen 16 0 0 06 Aug 2023
DINO-CXR: A self supervised method based on vision transformer for chest X-ray classification M. Shakouri F. Iranmanesh M. Eftekhari MedIm 20 4 0 01 Aug 2023
Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training Jeya Maria Jose Valanarasu Yucheng Tang Dong Yang Ziyue Xu Can Zhao ... Vishal M. Patel Bennett Landman Daguang Xu Yufan He V. Nath MedIm 23 13 0 31 Jul 2023
Revisiting Fine-Tuning Strategies for Self-supervised Medical Imaging Analysis Muhammad Osama Khan Yi Fang 30 3 0 20 Jul 2023
Systematic comparison of semi-supervised and self-supervised learning for medical image classification Zhe Huang Ruijie Jiang Shuchin Aeron M. C. Hughes SSL OOD 28 6 0 18 Jul 2023
FreeCOS: Self-Supervised Learning from Fractals and Unlabeled Images for Curvilinear Object Segmentation Tianyi Shi Xiao-Hua Ding Li Zhang Xin Yang 24 5 0 14 Jul 2023