Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation

22 December 2021

Agostina J. Larrazabal

Cesar E. Martínez

Jose Dolz

Enzo Ferrante

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Papers citing "Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation"

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Title
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 253 1 0 25 Nov 2024
The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration Bingyuan Liu Ismail Ben Ayed Adrian Galdran Jose Dolz UQCV 54 68 0 30 Nov 2021
Orthogonal Ensemble Networks for Biomedical Image Segmentation Agostina J. Larrazabal Cesar E. Martínez Jose Dolz Enzo Ferrante UQCV 63 22 0 22 May 2021
Spatially Varying Label Smoothing: Capturing Uncertainty from Expert Annotations Mobarakol Islam Ben Glocker UQCV 36 45 0 12 Apr 2021
Is segmentation uncertainty useful? Steffen Czolbe K. Arnavaz Oswin Krause Aasa Feragen UQCV 120 45 0 30 Mar 2021
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty Soufiane Belharbi Jérôme Rony Jose Dolz Ismail Ben Ayed Luke McCaffrey Eric Granger 64 54 0 14 Nov 2020
Diverse Ensembles Improve Calibration Asa Cooper Stickland Iain Murray UQCV FedML 63 28 0 08 Jul 2020
Hyperparameter Ensembles for Robustness and Uncertainty Quantification F. Wenzel Jasper Snoek Dustin Tran Rodolphe Jenatton UQCV 52 209 0 24 Jun 2020
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging Zhaohan Xiong Qing Xia Zhiqiang Hu Ning Huang Cheng Bian ... M. Nuñez-Garcia Oscar Camara N. Savioli P. Lamata Jichao Zhao 31 18 0 26 Apr 2020
Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural Networks Davood Karimi Ali Gholipour OOD 45 9 0 12 Apr 2020
Calibrating Deep Neural Networks using Focal Loss Jishnu Mukhoti Viveka Kulharia Amartya Sanyal Stuart Golodetz Philip Torr P. Dokania UQCV 81 461 0 21 Feb 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning Yeming Wen Dustin Tran Jimmy Ba OOD FedML UQCV 162 492 0 17 Feb 2020
Deep Ensembles: A Loss Landscape Perspective Stanislav Fort Huiyi Hu Balaji Lakshminarayanan OOD UQCV 121 628 0 05 Dec 2019
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation Alireza Mehrtash W. Wells C. Tempany Purang Abolmaesumi Tina Kapur OOD FedML UQCV 113 275 0 29 Nov 2019
Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation Lequan Yu Shujun Wang Xuelong Li Chi-Wing Fu Pheng-Ann Heng UQCV 74 847 0 16 Jul 2019
When Does Label Smoothing Help? Rafael Müller Simon Kornblith Geoffrey E. Hinton UQCV 191 1,945 0 06 Jun 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 162 1,691 0 06 Jun 2019
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge Hugo J. Kuijf J. M. Biesbroek J. de Bresser R. Heinen Simon Andermatt ... Christopher P L H Chen W. M. van der Flier F. Barkhof M. Viergever G. Biessels 61 256 0 01 Apr 2019
Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI Jörg Sander B. D. de Vos J. Wolterink Ivana Išgum 50 59 0 27 Sep 2018
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation T. Nair Doina Precup Douglas L. Arnold Tal Arbel UQCV 58 445 0 03 Aug 2018
Road Extraction by Deep Residual U-Net Zhengxin Zhang Qingjie Liu Yunhong Wang SSeg 72 2,129 0 29 Nov 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,827 0 14 Jun 2017
Regularizing Neural Networks by Penalizing Confident Output Distributions Gabriel Pereyra George Tucker J. Chorowski Lukasz Kaiser Geoffrey E. Hinton NoLa 163 1,137 0 23 Jan 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 822 5,811 0 05 Dec 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Fausto Milletari Nassir Navab Seyed-Ahmad Ahmadi 219 8,681 0 15 Jun 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 878 27,358 0 02 Dec 2015
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding Alex Kendall Vijay Badrinarayanan R. Cipolla UQCV BDL 86 1,064 0 09 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 818 9,306 0 06 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,133 0 18 May 2015
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks José Miguel Hernández-Lobato Ryan P. Adams UQCV BDL 127 944 0 18 Feb 2015