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Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers
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Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers

J. Senapati
Abhijit Guha Roy
Sebastian Polsterl
Daniel Gutmann
S. Gatidis
C. Schlett
A. Peters
F. Bamberg
Christian Wachinger
    UQCV
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Papers citing "Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers"

4 / 4 papers shown
Title
PF-DAformer: Proximal Femur Segmentation via Domain Adaptive Transformer for Dual-Center QCT
PF-DAformer: Proximal Femur Segmentation via Domain Adaptive Transformer for Dual-Center QCT
Rochak Dhakal
Chen Zhao
Zixin Shi
Joyce H. Keyak
T. Kaneko
Kuan-Jui Su
Hui Shen
Hong-Wen Deng
Weihua Zhou
OODMedIm
44
0
0
30 Oct 2025
Uncertainty Quantified Deep Learning and Regression Analysis Framework for Image Segmentation of Skin Cancer Lesions
Uncertainty Quantified Deep Learning and Regression Analysis Framework for Image Segmentation of Skin Cancer LesionsInternational Conference on Machine Learning and Applications (ICMLA), 2024
Elhoucine Elfatimi
Pratik Shah
UQCV
188
0
0
31 Dec 2024
From Pointwise to Powerhouse: Initialising Neural Networks with Generative Models
From Pointwise to Powerhouse: Initialising Neural Networks with Generative Models
Christian Harder
Moritz Fuchs
Yuri Tolkach
Anirban Mukhopadhyay
178
0
0
25 Oct 2023
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
Ling Huang
S. Ruan
Yucheng Xing
Mengling Feng
259
42
0
09 Oct 2023