Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation

11 March 2024

Papers citing "Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation"

6 / 6 papers shown

Title
Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints Balamurali Murugesan Sukesh Adiga Vasudeva Bingyuan Liu H. Lombaert Ismail Ben Ayed Jose Dolz UQCV 95 6 0 25 Jan 2024
MONAI: An open-source framework for deep learning in healthcare M. Jorge Cardoso Wenqi Li Richard Brown Nic Ma E. Kerfoot ... Klaus H. Maier-Hein S. Aylward Prerna Dogra Sebastien Ourselin Andrew Feng 126 505 0 04 Nov 2022
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification Ujjwal Baid S. Ghodasara S. Mohan Michel Bilello Evan Calabrese ... M. Weber A. Mahajan Bjoern Menze Adam Flanders Spyridon Bakas 143 643 0 05 Jul 2021
Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error Ondrej Bohdal Yongxin Yang Timothy M. Hospedales UQCV OOD 88 23 0 17 Jun 2021
Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification G. Liang Yu Zhang Xiaoqin Wang Nathan Jacobs UQCV 65 61 0 09 Sep 2020
Local Temperature Scaling for Probability Calibration Zhipeng Ding Xu Han Peirong Liu Marc Niethammer 100 81 0 12 Aug 2020