Theoretical analysis and experimental validation of volume bias of soft
Dice optimized segmentation maps in the context of inherent uncertainty

Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty

8 November 2022

Dirk Vandermeulen

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Papers citing "Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty"

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Title
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods Ling Huang S. Ruan Yucheng Xing Mengling Feng 295 44 0 09 Oct 2023
Encoding Enhanced Complex CNN for Accurate and Highly Accelerated MRIIEEE Transactions on Medical Imaging (TMI), 2023 Zimeng Li Sa Xiao Cheng Wang Haidong Li Xiuchao Zhao ... Junshuai Xie Lei Shi F. Guo Chaohui Ye Xin Zhou 197 6 0 21 Jun 2023
Marginal Thresholding in Noisy Image Segmentation M. Nordström Henrik Hult A. Maki NoLa 186 0 0 08 Apr 2023
Noisy Image Segmentation With Soft-Dice M. Nordström Henrik Hult A. Maki F. Löfman 245 4 0 03 Apr 2023
Dice Semimetric Losses: Optimizing the Dice Score with Soft LabelsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023 Zifu Wang Teodora Popordanoska J. Bertels Robin Lemmens Matthew B. Blaschko 120 20 0 28 Mar 2023
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft LabelsNeural Information Processing Systems (NeurIPS), 2023 Zifu Wang Xuefei Ning Matthew B. Blaschko VLM 425 19 0 11 Feb 2023
The Dice loss in the context of missing or empty labels: Introducing $Φ$ and $ε$ International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022 Sofie Tilborghs J. Bertels D. Robben Dirk Vandermeulen F. Maes 160 6 0 19 Jul 2022
On Image Segmentation With Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and DiceNeural Information Processing Systems (NeurIPS), 2022 M. Nordström Henrik Hult J. Söderberg F. Löfman 199 9 0 13 Jun 2022
On the relationship between calibrated predictors and unbiased volume estimationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021 Teodora Popordanoska J. Bertels Dirk Vandermeulen F. Maes Matthew B. Blaschko 167 15 0 23 Dec 2021
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentationJournal of digital imaging (JDI), 2021 Michael Yeung L. Rundo Yang Nan Evis Sala Carola-Bibiane Schönlieb Guang Yang UQCV 149 55 0 31 Oct 2021