Explaining COVID-19 and Thoracic Pathology Model Predictions by
Identifying Informative Input Features

Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features

1 April 2021

Nassir Navab

Papers citing "Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features"

3 / 3 papers shown

Title
CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGAN Matan Atad V. Dmytrenko Yitong Li Xinyue Zhang Matthias Keicher Jan Kirschke Bene Wiestler Ashkan Khakzar Nassir Navab MedIm 14 22 0 15 Jul 2022
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images Kristoffer Wickstrøm Eirik Agnalt Ostmo Keyur Radiya Karl Øyvind Mikalsen Michael C. Kampffmeyer Robert Jenssen SSL 21 13 0 11 Jul 2022
Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models Ashkan Khakzar Yawei Li Yang Zhang Mirac Sanisoglu Seong Tae Kim Mina Rezaei Bernd Bischl Nassir Navab 17 0 0 04 Apr 2022