Self-Supervised Pretraining for 2D Medical Image Segmentation

1 September 2022

Papers citing "Self-Supervised Pretraining for 2D Medical Image Segmentation"

18 / 18 papers shown

Title
Enhancing pretraining efficiency for medical image segmentation via transferability metrics Gábor Hidy Bence Bakos András Lukács 30 1 0 24 Oct 2024
Exploring Foundation Models in Remote Sensing Image Change Detection: A Comprehensive Survey Zihan Yu Tianxiao Li Yuxin Zhu Rongze Pan 38 0 0 10 Oct 2024
Self-supervised Pretraining for Cardiovascular Magnetic Resonance Cine Segmentation Rob A. J. de Mooij Josien P. W. Pluim Cian M. Scannell 25 0 0 26 Sep 2024
Dense Self-Supervised Learning for Medical Image Segmentation Maxime Seince Loic Le Folgoc Luiz Augusto Facury de Souza Elsa Angelini SSL 32 0 0 29 Jul 2024
Multi-Label Guided Soft Contrastive Learning for Efficient Earth Observation Pretraining Yi Wang C. Albrecht Xiao Xiang Zhu 37 6 0 30 May 2024
Cross-sensor self-supervised training and alignment for remote sensing V. Marsocci Nicolas Audebert 33 1 0 16 May 2024
MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-ray Self-Supervised Representation Learning Azad Singh Vandan Gorade Deepak Mishra SSL 32 2 0 18 Mar 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 14 0 0 04 Feb 2024
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training Jiamin Chen Xuhong Li Yanwu Xu Jundong Li Haoyi Xiong 26 2 0 16 Jan 2024
A Study on Self-Supervised Pretraining for Vision Problems in Gastrointestinal Endoscopy Edward Sanderson B. Matuszewski 23 2 0 11 Jan 2024
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
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 21 12 0 31 Oct 2023
Can pre-trained models assist in dataset distillation? Yao Lu Xuguang Chen Yuchen Zhang Jianyang Gu Tianle Zhang Yifan Zhang Xiaoniu Yang Qi Xuan Kai Wang Yang You DD 37 10 0 05 Oct 2023
Self-supervised Semantic Segmentation: Consistency over Transformation Sanaz Karimijafarbigloo Reza Azad A. Kazerouni Yury Velichko Ulas Bagci Dorit Merhof 23 3 0 31 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
Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentation José Morano Guilherme Aresta Dmitrii Lachinov Julia Mai U. Schmidt-Erfurth Hrvoje Bogunović 19 3 0 06 Jul 2023
Towards Geospatial Foundation Models via Continual Pretraining Matías Mendieta Boran Han Xingjian Shi Yi Zhu Chen Chen VLM AI4CE 43 64 0 09 Feb 2023