UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain
Adaptation for Medical Image Segmentation

UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation

19 September 2023

Guotai Wang

Tom Kamiel Magda Vercauteren

Sébastien Ourselin

Papers citing "UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation"

5 / 5 papers shown

Title
Leveraging Segment Anything Model for Source-Free Domain Adaptation via Dual Feature Guided Auto-Prompting Zheang Huai Hui Tang Yi Li Zhengzhang Chen Xiaomeng Li VLM 35 0 0 13 May 2025
Uncertainty Quantification for Machine Learning in Healthcare: A Survey L. J. L. Lopez Shaza Elsharief Dhiyaa Al Jorf Firas Darwish Congbo Ma Farah E. Shamout 178 0 0 04 May 2025
Label Calibration in Source Free Domain Adaptation Shivangi Rai Rini Smita Thakur Kunal Jangid Vinod K. Kurmi UQCV 58 1 0 13 Jan 2025
Unsupervised Model Adaptation for Source-free Segmentation of Medical Images Serban Stan Mohammad Rostami OOD 40 10 0 02 Nov 2022
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 340 10,633 0 19 Feb 2017