Uncertainty Evaluation Metric for Brain Tumour Segmentation

Uncertainty Evaluation Metric for Brain Tumour Segmentation

28 May 2020

Papers citing "Uncertainty Evaluation Metric for Brain Tumour Segmentation"

16 / 16 papers shown

Title
Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation M. Zenk David Zimmerer Fabian Isensee Jeremias Traub T. Norajitra Paul F. Jäger Klaus H. Maier-Hein 37 4 0 05 Jun 2024
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge Hongwei Bran Fernando Navarro Ivan Ezhov Amirhossein Bayat Dhritiman Das ... E. Konukoglu Andras Jakab Spyridon Bakas Leo Joskowicz Bjoern H. Menze UQCV 37 7 0 19 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 22 16 0 16 Jan 2024
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 24 76 0 05 Oct 2022
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results Raghav Mehta Angelos Filos Ujjwal Baid C. Sako Richard McKinley ... Christos Davatzikos Bjoern H. Menze Spyridon Bakas Y. Gal Tal Arbel UQCV 17 44 0 19 Dec 2021
Diffusion Models for Implicit Image Segmentation Ensembles J. Wolleb Robin Sandkühler Florentin Bieder Philippe Valmaggia Philippe C. Cattin DiffM MedIm VLM 10 265 0 06 Dec 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
Robustness via Uncertainty-aware Cycle Consistency Uddeshya Upadhyay Yanbei Chen Zeynep Akata 20 21 0 24 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
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images Saverio Vadacchino Raghav Mehta N. Sepahvand Brennan Nichyporuk James J. Clark Tal Arbel MedIm 12 14 0 30 Mar 2021
Uncertainty-aware Generalized Adaptive CycleGAN Uddeshya Upadhyay Yanbei Chen Zeynep Akata 11 6 0 23 Feb 2021
SoftSeg: Advantages of soft versus binary training for image segmentation C. Gros A. Lemay Julien Cohen-Adad 25 70 0 18 Nov 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 37 1,877 0 12 Nov 2020
The Liver Tumor Segmentation Benchmark (LiTS) Patrick Bilic P. Christ Hongwei Bran Li Eugene Vorontsov Avi Ben-Cohen ... L. Soler Bram van Ginneken H. Greenspan Leo Joskowicz Bjoern H. Menze 22 990 0 13 Jan 2019
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 279 9,136 0 06 Jun 2015