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Source-Free Domain Adaptive Fundus Image Segmentation with Denoised
  Pseudo-Labeling

Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling

19 September 2021
Cheng Chen
Quande Liu
Yueming Jin
Qi Dou
Pheng-Ann Heng
ArXivPDFHTML

Papers citing "Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling"

15 / 15 papers shown
Title
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
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
98
0
0
04 May 2025
GrInAdapt: Scaling Retinal Vessel Structural Map Segmentation Through Grounding, Integrating and Adapting Multi-device, Multi-site, and Multi-modal Fundus Domains
Zixuan Liu
Aaron Honjaya
Yuekai Xu
Yi Zhang
Hefu Pan
Xin Wang
Linda Shapiro
Sheng Wang
Ruikang K Wang
OOD
45
0
0
08 Mar 2025
MIAdapt: Source-free Few-shot Domain Adaptive Object Detection for Microscopic Images
Nimra Dilawar
Sara Nadeem
Javed Iqbal
Waqas Sultani
Mohsen Ali
59
0
0
05 Mar 2025
Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation
Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation
Rini Smita Thakur
Vinod K. Kurmi
UQCV
29
1
0
03 Jan 2025
Post-Deployment Adaptation with Access to Source Data via Federated
  Learning and Source-Target Remote Gradient Alignment
Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment
Felix Wagner
Zeju Li
Pramit Saha
Konstantinos Kamnitsas
MedIm
8
4
0
31 Aug 2023
Source-Free Domain Adaptive Fundus Image Segmentation with
  Class-Balanced Mean Teacher
Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean Teacher
Longxiang Tang
Kai Li
Chunming He
Yulun Zhang
Xiu Li
32
23
0
14 Jul 2023
Black-box Source-free Domain Adaptation via Two-stage Knowledge
  Distillation
Black-box Source-free Domain Adaptation via Two-stage Knowledge Distillation
Shuai Wang
Daoan Zhang
Zipei Yan
Shitong Shao
Ruizhen Li
14
2
0
13 May 2023
Tailored Multi-Organ Segmentation with Model Adaptation and Ensemble
Tailored Multi-Organ Segmentation with Model Adaptation and Ensemble
Jiahua Dong
Guohua Cheng
Yue Zhang
Chengtao Peng
Yu Song
Ruofeng Tong
Lanfen Lin
Yen-Wei Chen
24
0
0
14 Apr 2023
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical
  Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
Xuzhe Zhang
Yu-Hsun Wu
S. Entringer
H. Simhan
Jia Guo
...
A. Jackowski
Haifeng Li
J. Posner
Andrew F. Laine
Yun Wang
OOD
13
11
0
16 Mar 2023
Generative appearance replay for continual unsupervised domain
  adaptation
Generative appearance replay for continual unsupervised domain adaptation
Boqi Chen
Kevin Thandiackal
Pushpak Pati
O. Goksel
CLL
MedIm
27
11
0
03 Jan 2023
Memory Consistent Unsupervised Off-the-Shelf Model Adaptation for
  Source-Relaxed Medical Image Segmentation
Memory Consistent Unsupervised Off-the-Shelf Model Adaptation for Source-Relaxed Medical Image Segmentation
Xiaofeng Liu
Fangxu Xing
G. El Fakhri
Jonghye Woo
OOD
37
30
0
16 Sep 2022
Single-domain Generalization in Medical Image Segmentation via Test-time
  Adaptation from Shape Dictionary
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary
Quande Liu
Cheng Chen
Qi Dou
Pheng-Ann Heng
OOD
47
36
0
29 Jun 2022
Target and Task specific Source-Free Domain Adaptive Image Segmentation
Target and Task specific Source-Free Domain Adaptive Image Segmentation
VS Vibashan
Jeya Maria Jose Valanarasu
Vishal M. Patel
OOD
22
17
0
29 Mar 2022
Source-free unsupervised domain adaptation for cross-modality abdominal
  multi-organ segmentation
Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation
Jin Hong
Yudong Zhang
Weitian Chen
OOD
MedIm
24
82
0
24 Nov 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
279
9,136
0
06 Jun 2015
1