Hierarchical Self-Supervised Learning for Medical Image Segmentation
Based on Multi-Domain Data Aggregation

Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation

10 July 2021

Papers citing "Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation"

16 / 16 papers shown

Title
Task-Specific Knowledge Distillation from the Vision Foundation Model for Enhanced Medical Image Segmentation Pengchen Liang Haishan Huang Bin Pu Jianguo Chen Xiang Hua Jing Zhang Weibo Ma Z. Chen Yiwei Li Qing Chang 48 0 0 10 Mar 2025
M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image Segmentation B. Shirokikh Anvar Kurmukov Mariia Donskova Valentin Samokhin Mikhail Belyaev Ivan Oseledets OOD 39 0 0 24 Feb 2025
Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Arvind Murari Vepa Zukang Yang Andrew Choi Jungseock Joo Fabien Scalzo Yizhou Sun 3DPC 81 1 0 24 Nov 2024
Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset Yi Sheng Junhuan Yang Jinyang Li James Alaina Xiaowei Xu Yiyu Shi Jingtong Hu Weiwen Jiang Lei Yang 36 0 0 18 Jul 2024
Echocardiogram Foundation Model -- Application 1: Estimating Ejection Fraction Adil Dahlan C. Zakka Abhinav Kumar Laura Tang R. Shad R. Fong W. Hiesinger 29 2 0 21 Nov 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
Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder Jiafan Zhuang Luyang Luo Hao Chen 28 11 0 15 Jun 2023
Multi-Domain Learning From Insufficient Annotations Tahira Shehzadi Shengcai Liu D. Stricker Marcus Liwicki Muhammad Zeshan Afzal 26 1 0 04 May 2023
MV-MR: multi-views and multi-representations for self-supervised learning and knowledge distillation Vitaliy Kinakh M. Drozdova Slava Voloshynovskiy 40 1 0 21 Mar 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
Keep Your Friends Close & Enemies Farther: Debiasing Contrastive Learning with Spatial Priors in 3D Radiology Images Yejia Zhang Nishchal Sapkota Pengfei Gu Yao Peng Hao Zheng Da Chen 39 5 0 16 Nov 2022
Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation Yejia Zhang Xinrong Hu Nishchal Sapkota Yiyu Shi Da Chen SSL 25 3 0 15 Nov 2022
A Point in the Right Direction: Vector Prediction for Spatially-aware Self-supervised Volumetric Representation Learning Yejia Zhang Pengfei Gu Nishchal Sapkota Hao Zheng Peixian Liang Da Chen 3DPC 24 2 0 15 Nov 2022
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation Minh-Trieu Tran Viet-Khoa Vo-Ho Ngan T. H. Le 3DPC MedIm 20 13 0 19 May 2022
MixCL: Pixel label matters to contrastive learning Jun Li Quan Quan S. Kevin Zhou SSL 31 1 0 04 Mar 2022
BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models Narinder Singh Punn Sonali Agarwal SSL 32 35 0 07 Dec 2021