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STRUDEL: Self-Training with Uncertainty Dependent Label Refinement
across Domains

v1v2 (latest)

STRUDEL: Self-Training with Uncertainty Dependent Label Refinement across Domains

23 April 2021

Anne-Marie Rickmann

Christian Wachinger

ArXiv (abs)PDF HTML

Papers citing "STRUDEL: Self-Training with Uncertainty Dependent Label Refinement across Domains"

4 / 4 papers shown

Using Foundation Models as Pseudo-Label Generators for Pre-Clinical 4D Cardiac CT Segmentation

Using Foundation Models as Pseudo-Label Generators for Pre-Clinical 4D Cardiac CT SegmentationFunctional Imaging and Modeling of the Heart (FIMH), 2025

Anne-Marie Rickmann

...

Nicole Guerrera

Francis G. Spinale

Jason A. Burdick

Albert J Sinusas

James S. Duncan

391

0

0

14 May 2025

Data efficient deep learning for medical image analysis: A survey

Data efficient deep learning for medical image analysis: A survey

Pravendra Singh

320

23

0

10 Oct 2023

Deep learning for unsupervised domain adaptation in medical imaging:
Recent advancements and future perspectives

Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives

Pravendra Singh

340

65

0

18 Jul 2023

SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for
Slice-Direction Continuous Cross-Modality Medical Image Segmentation

SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image SegmentationComputer Vision and Pattern Recognition (CVPR), 2023

241

34

0

18 May 2023

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