Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation

29 November 2019

Purang Abolmaesumi

Papers citing "Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation"

23 / 73 papers shown

Title
Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection Ishaan Bhat J. Pluim M. Viergever Hugo J. Kuijf MedIm 21 4 0 22 Jun 2022
Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning Julian Burghoff Robin Shing Moon Chan Hanno Gottschalk Annika Muetze Tobias Riedlinger Matthias Rottmann Marius Schubert BDL 31 0 0 30 May 2022
Application of belief functions to medical image segmentation: A review Ling Huang S. Ruan Thierry Denoeux EDL MedIm 27 30 0 03 May 2022
Uncertainty Estimation for Heatmap-based Landmark Localization Lawrence Schobs Andrew J Swift Haiping Lu UQCV 22 11 0 04 Mar 2022
Confidence Calibration for Object Detection and Segmentation Fabian Küppers Anselm Haselhoff Jan Kronenberger Jonas Schneider UQCV 19 4 0 25 Feb 2022
TransMorph: Transformer for unsupervised medical image registration Junyu Chen Eric C. Frey Yufan He W. Paul Segars Ye Li Yong Du ViT MedIm 31 302 0 19 Nov 2021
Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration Wenhao Li Qisen Xu Chuyun Shen Bin Hu Fengping Zhu Yuxin Li Bo Jin Xiangfeng Wang 30 5 0 15 Nov 2021
SUPER-Net: Trustworthy Medical Image Segmentation with Uncertainty Propagation in Encoder-Decoder Networks Giuseppina Carannante Dimah Dera Nidhal C.Bouaynaya Hassan M. Fathallah-Shaykh Ghulam Rasool UQCV AAML OOD 27 6 0 10 Nov 2021
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation Michael Yeung L. Rundo Yang Nan Evis Sala Carola-Bibiane Schönlieb Guang Yang UQCV 25 30 0 31 Oct 2021
Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI $-$ Should Different Clinical Objectives Mandate Different Loss Functions? A. Saha Shengcai Liu J. Linmans M. Hosseinzadeh Ke Tang 25 8 0 25 Oct 2021
A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation Robin Camarasa D. Bos J. Hendrikse P. Nederkoorn D. Epidemiology D. Neurology Department of Computer Science UQCV 24 12 0 22 Sep 2021
Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation Camila González Karol Gotkowski A. Bucher Ricarda Fischbach Isabel Kaltenborn Anirban Mukhopadhyay 18 31 0 13 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 32 1,109 0 07 Jul 2021
Recent advances and clinical applications of deep learning in medical image analysis Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu OOD 18 570 0 27 May 2021
Orthogonal Ensemble Networks for Biomedical Image Segmentation Agostina J. Larrazabal Cesar E. Martínez Jose Dolz Enzo Ferrante UQCV 18 22 0 22 May 2021
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation Robin Shing Moon Chan Krzysztof Lis Svenja Uhlemeyer Hermann Blum S. Honari Roland Siegwart Pascal Fua Mathieu Salzmann Matthias Rottmann UQCV 24 136 0 30 Apr 2021
Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond Anneke Meyer Suhita Ghosh D. Schindele M. Schostak Sebastian Stober C. Hansen Marko Rak 28 16 0 08 Apr 2021
Probabilistic Spatial Analysis in Quantitative Microscopy with Uncertainty-Aware Cell Detection using Deep Bayesian Regression of Density Maps Alvaro Gomariz Tiziano Portenier C. Nombela-Arrieta O. Goksel UQCV 19 6 0 23 Feb 2021
Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation Robin Shing Moon Chan Matthias Rottmann Hanno Gottschalk OODD 37 149 0 09 Dec 2020
U-Net and its variants for medical image segmentation: theory and applications N. Siddique Sidike Paheding Colin P. Elkin Vijay Devabhaktuni SSeg 23 1,041 0 02 Nov 2020
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 295 10,618 0 19 Feb 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015