Trustworthy clinical AI solutions: a unified review of uncertainty
quantification in deep learning models for medical image analysis

Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis

5 October 2022

Benjamin Lambert

Florence Forbes

Harmonie Dehaene

Papers citing "Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis"

12 / 12 papers shown

Title
Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results Meritxell Riera-Marin S. Ko Julia Rodriguez-Comas Matthias Stefan May Zhaohong Pan ... Anton Aubanell Andreu Antolin Javier Garcia-Lopez M. A. G. Ballester Adrian Galdran UQCV 31 0 0 13 May 2025
Generalizable and Explainable Deep Learning for Medical Image Computing: An Overview A. Chaddad Yan Hu Yihang Wu Binbin Wen R. Kateb 56 6 0 11 Mar 2025
Uncertainty quantification for improving radiomic-based models in radiation pneumonitis prediction C. Puttanawarut Romen Samuel Wabina Nat Sirirutbunkajorn AI4CE 34 0 0 27 Dec 2024
A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data Xinyi Wang Grazziela Figueredo Ruizhe Li W. Zhang Weitong Chen Xin Chen MedIm ViT 41 2 0 21 May 2024
Identifying Drivers of Predictive Aleatoric Uncertainty Pascal Iversen Simon Witzke Katharina Baum Bernhard Y. Renard UD 43 1 0 12 Dec 2023
Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data Christiaan G. A. Viviers Amaan Valiuddin Peter H. N. de With Fons van der Sommen 22 5 0 01 May 2023
Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise H. A. Mehrtens Alexander Kurz Tabea-Clara Bucher T. Brinker OOD UQCV 187 11 0 03 Jan 2023
Diversity-Promoting Ensemble for Medical Image Segmentation Mariana-Iuliana Georgescu Radu Tudor Ionescu A. Miron 24 19 0 22 Oct 2022
Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net Yanwu Yang Xutao Guo Yiwei Pan P. Shi Haiyan Lv Tingxia Ma UQCV 24 8 0 15 Sep 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 244 35,884 0 25 Aug 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015