Towards unraveling calibration biases in medical image analysis

9 May 2023

Papers citing "Towards unraveling calibration biases in medical image analysis"

9 / 9 papers shown

Title
Uncertainty in latent representations of variational autoencoders optimized for visual tasks Josefina Catoni Enzo Ferrante Diego H. Milone Rodrigo Echeveste Diego H. Milone Balázs Meszéna Gergő Orbán Rodrigo Echeveste UQCV OOD BDL 31 1 0 23 Apr 2024
On Calibration of Modern Quantized Efficient Neural Networks Joe-Hwa Kuang Alexander Wong UQCV MQ 13 1 0 25 Sep 2023
A Study of Age and Sex Bias in Multiple Instance Learning based Classification of Acute Myeloid Leukemia Subtypes Ario Sadafi Matthias Hehr Nassir Navab Carsten Marr 11 2 0 24 Aug 2023
Calibration in Deep Learning: A Survey of the State-of-the-Art Cheng Wang UQCV 26 36 0 02 Aug 2023
On (assessing) the fairness of risk score models Eike Petersen M. Ganz Sune Holm Aasa Feragen FaML 16 20 0 17 Feb 2023
Addressing Fairness Issues in Deep Learning-Based Medical Image Analysis: A Systematic Review Zikang Xu Jun Li Yongshuo Zong Han Li Qingsong Yao S. Kevin Zhou 41 13 0 27 Sep 2022
Analysis and Comparison of Classification Metrics Luciana Ferrer 29 19 0 12 Sep 2022
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset Matthew Groh Caleb Harris L. Soenksen Felix Lau Rachel Han Aerin Kim A. Koochek Omar Badri 106 180 0 20 Apr 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 314 4,203 0 23 Aug 2019