Towards Evaluating Explanations of Vision Transformers for Medical
Imaging

Towards Evaluating Explanations of Vision Transformers for Medical Imaging

12 April 2023

Piotr Komorowski

Hubert Baniecki

ArXiv (abs)PDF HTML

Papers citing "Towards Evaluating Explanations of Vision Transformers for Medical Imaging"

14 / 14 papers shown

Title
Evaluating Visual Explanations of Attention Maps for Transformer-based Medical Imaging Minjae Chung Jong Bum Won Ganghyun Kim Yujin Kim Utku Ozbulak MedIm 182 0 0 12 Mar 2025
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images Tom Ron M. Weiler-Sagie Tamir Hazan FAtt MedIm 60 6 0 06 Jun 2022
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond Anna Hedström Leander Weber Dilyara Bareeva Daniel G. Krakowczyk Franz Motzkus Wojciech Samek Sebastian Lapuschkin Marina M.-C. Höhne XAI ELM 56 176 0 14 Feb 2022
Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification Sangjoon Park Gwanghyun Kim Y. Oh J. Seo Sang Min Lee Jin Hwan Kim Sungjun Moon Jae-Kwang Lim Jong Chul Ye ViT MedIm 82 97 0 15 Apr 2021
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification Chun-Fu Chen Quanfu Fan Yikang Shen ViT 71 1,478 0 27 Mar 2021
Multi-view analysis of unregistered medical images using cross-view transformers Gijs van Tulder Yao Tong E. Marchiori ViT 82 59 0 21 Mar 2021
COVID-19 Infection Localization and Severity Grading from Chest X-ray Images Anas Tahir M. Chowdhury Amith Khandakar Tawsifur Rahman Yazan Qiblawey ... Somaya Al-Madeed K. Hameed Tahir Hamid S. Mahmud Maymouna Ezeddin 94 147 0 14 Mar 2021
TransPose: Keypoint Localization via Transformer Sen Yang Zhibin Quan Mu Nie Wankou Yang ViT 194 270 0 28 Dec 2020
Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies Weronika Hryniewska Przemysław Bombiński P. Szatkowski Paulina Tomaszewska A. Przelaskowski P. Biecek OOD 68 47 0 11 Dec 2020
On quantitative aspects of model interpretability An-phi Nguyen María Rodríguez Martínez 47 115 0 15 Jul 2020
Quantifying Attention Flow in Transformers Samira Abnar Willem H. Zuidema 165 799 0 02 May 2020
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 201 3,879 0 10 Apr 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 188 5,989 0 04 Mar 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,990 0 16 Feb 2016