Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation

13 July 2021

Papers citing "Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation"

20 / 20 papers shown

Title
Modality-Independent Explainable Detection of Inaccurate Organ Segmentations Using Denoising Autoencoders Levente Lippenszky István Megyeri Krisztian Koos Zsófia Karancsi Borbála Deák-Karancsi András Frontó Árpád Makk Attila Rádics Erhan Bas László Ruskó MedIm 38 0 0 16 Apr 2025
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification Jannik Franzen Claudia Winklmayr Vanessa Emanuela Guarino Christoph Karg Xiaoyan Yu Nora Koreuber Jan P. Albrecht Philip Bischoff Dagmar Kainmueller 43 0 0 11 Nov 2024
Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation M. Woodland Nihil Patel Austin Castelo Mais Al Taie Mohamed Eltaher ... Nakul Gupta David Victor Laura Beretta Ankit B. Patel Kristy K. Brock OOD 27 0 0 05 Aug 2024
Out-of-distribution Detection in Medical Image Analysis: A survey Zesheng Hong Yubiao Yue Yubin Chen Lele Cong Huanjie Lin ... Jialong Xu Xiaoqi Yang Hechang Chen Zhenzhang Li Sihong Xie OOD 34 5 0 28 Apr 2024
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation Yidong Zhao João Tourais Iain Pierce Christian Nitsche T. Treibel Sebastian Weingartner Artur M. Schweidtmann Qian Tao BDL UQCV 38 5 0 04 Mar 2024
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation Kim-Celine Kahl Carsten T. Lüth M. Zenk Klaus Maier-Hein Paul F. Jaeger UQCV 24 16 0 16 Jan 2024
Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task Rebecca S Stone P. E. Chavarrias-Solano A. Bulpitt David C. Hogg Sharib Ali UQCV 41 0 0 13 Sep 2023
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation M. Woodland Nihil Patel Mais Al Taie J. Yung T. Netherton Ankit B. Patel Kristy K. Brock OOD 30 6 0 07 Aug 2023
Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation Muhammad Asad Helena Williams Indrajeet Mandal S. Ather Jan Deprest Jan D'hooge Tom Kamiel Magda Vercauteren 38 6 0 23 Mar 2023
Efficient Bayesian Uncertainty Estimation for nnU-Net Yidong Zhao Changchun Yang Artur M. Schweidtmann Qian Tao UQCV BDL 13 20 0 12 Dec 2022
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis Benjamin Lambert Florence Forbes A. Tucholka Senan Doyle Harmonie Dehaene M. Dojat 26 76 0 05 Oct 2022
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation Jiamin Liang Yuhao Huang Haoming Li Shuangchi He Xindi Hu Zejian Chen Isabel Kaltenborn Dong Ni OOD 20 41 0 05 Aug 2022
Task-agnostic Continual Hippocampus Segmentation for Smooth Population Shifts Camila González Amin Ranem Ahmed Othman Anirban Mukhopadhyay OOD 13 7 0 05 Aug 2022
Improved post-hoc probability calibration for out-of-domain MRI segmentation C. Ouyang Shuo Wang C. L. P. Chen Zeju Li Wenjia Bai Bernhard Kainz Daniel Rueckert UQCV MedIm 21 4 0 04 Aug 2022
Identifying and Combating Bias in Segmentation Networks by leveraging multiple resolutions Leonie Henschel David Kügler D. Andrews C. Nordahl M. Reuter 13 0 0 29 Jun 2022
A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation Lucas Fidon Michael Aertsen Florian Kofler A. Bink A. David ... Marlene Stuempflen Esther Van Elslander Sébastien Ourselin Jan Deprest Tom Kamiel Magda Vercauteren 21 16 0 05 Apr 2022
ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive Segmentation Muhammad Asad Lucas Fidon Tom Kamiel Magda Vercauteren 16 15 0 12 Jan 2022
Quality monitoring of federated Covid-19 lesion segmentation Camila González Christian Harder Amin Ranem Ricarda Fischbach Isabel Kaltenborn Armin Dadras A. Bucher Anirban Mukhopadhyay OOD 16 0 0 16 Dec 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 282 9,136 0 06 Jun 2015