Improved post-hoc probability calibration for out-of-domain MRI
segmentation

Improved post-hoc probability calibration for out-of-domain MRI segmentation

4 August 2022

Shuo Wang

Daniel Rueckert

Papers citing "Improved post-hoc probability calibration for out-of-domain MRI segmentation"

7 / 7 papers shown

Title
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentation P. Mody Nicolas F. Chaves-de-Plaza Chinmay Rao Eleftheria Astrenidou M. de Ridder N. Hoekstra Klaus Hildebrandt Marius Staring UQCV 22 0 0 05 Sep 2024
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
Mask-TS Net: Mask Temperature Scaling Uncertainty Calibration for Polyp Segmentation Yudian Zhang Chenhao Xu Kaiye Xu Haijiang Zhu 41 0 0 09 May 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
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary Quande Liu Cheng Chen Qi Dou Pheng-Ann Heng OOD 47 36 0 29 Jun 2022
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning Fernando Pérez-García Rachel Sparks Sébastien Ourselin MedIm LM&MA 135 426 0 09 Mar 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 279 9,136 0 06 Jun 2015