GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial Learning

22 December 2020

Papers citing "GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial Learning"

27 / 27 papers shown

Title
Explaining Low Perception Model Competency with High-Competency Counterfactuals Sara Pohland Claire Tomlin DiffM AAML 51 0 0 07 Apr 2025
PRISM: High-Resolution & Precise Counterfactual Medical Image Generation using Language-guided Stable Diffusion Amar Kumar Anita Kriz Mohammad Havaei Tal Arbel MedIm 49 2 0 28 Feb 2025
Flexible Counterfactual Explanations with Generative Models Stig Hellemans Andres Algaba Sam Verboven Vincent Ginis 33 0 0 24 Feb 2025
Model-Free Counterfactual Subset Selection at Scale Minh Nguyen Viet Hung Doan Anh Tuan Nguyen Jun Jo Quoc Viet Hung Nguyen LRM 54 0 0 12 Feb 2025
Explainable Artificial Intelligence for Medical Applications: A Review Qiyang Sun Alican Akman Björn Schuller 92 6 0 15 Nov 2024
Learning from the few: Fine-grained approach to pediatric wrist pathology recognition on a limited dataset Ammar Ahmed Ali Shariq Imran Zenun Kastrati Sher Muhammad Daudpota Mohib Ullah Waheed Noord 27 0 0 24 Aug 2024
DiffExplainer: Unveiling Black Box Models Via Counterfactual Generation Yingying Fang Shuang Wu Zihao Jin Caiwen Xu Shiyi Wang Simon Walsh Guang Yang MedIm 36 4 0 21 Jun 2024
Probabilistically Plausible Counterfactual Explanations with Normalizing Flows Patryk Wielopolski Oleksii Furman Jerzy Stefanowski Maciej Ziȩba 46 2 0 27 May 2024
Decoding Decision Reasoning: A Counterfactual-Powered Model for Knowledge Discovery Yingying Fang Zihao Jin Xiaodan Xing Simon Walsh Guang Yang MedIm 32 1 0 23 May 2024
Relevant Irrelevance: Generating Alterfactual Explanations for Image Classifiers Silvan Mertes Tobias Huber Christina Karle Katharina Weitz Ruben Schlagowski Cristina Conati Elisabeth André 16 0 0 08 May 2024
DXAI: Explaining Classification by Image Decomposition Elnatan Kadar Guy Gilboa FAtt 27 0 0 30 Dec 2023
Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation Nina Weng Paraskevas Pegios Eike Petersen Aasa Feragen Siavash Bigdeli MedIm CML 26 8 0 21 Dec 2023
Debiasing Counterfactuals In the Presence of Spurious Correlations Amar Kumar Nima Fathi Raghav Mehta Brennan Nichyporuk J. Falet Sotirios A. Tsaftaris Tal Arbel CML MedIm 19 3 0 21 Aug 2023
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare Karim Lekadir Aasa Feragen Abdul Joseph Fofanah Alejandro F Frangi Alena Buyx ... Yi Zeng Yunusa G Mohammed Yves Saint James Aquino Zohaib Salahuddin M. P. Starmans AI4TS 37 38 0 11 Aug 2023
Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities Xudong Shen H. Brown Jiashu Tao Martin Strobel Yao Tong Akshay Narayan Harold Soh Finale Doshi-Velez 27 3 0 22 Jun 2023
Using generative AI to investigate medical imagery models and datasets Oran Lang Doron Stupp I. Traynis Heather Cole-Lewis Chloe R. Bennett ... Avinatan Hassidim Yossi Matias Yun-hui Liu N. Hammel Boris Babenko MedIm 24 21 0 01 Jun 2023
Adversarial Counterfactual Visual Explanations Guillaume Jeanneret Loïc Simon F. Jurie DiffM 41 27 0 17 Mar 2023
GANterfactual-RL: Understanding Reinforcement Learning Agents' Strategies through Visual Counterfactual Explanations Tobias Huber Maximilian Demmler Silvan Mertes Matthew Lyle Olson Elisabeth André 12 14 0 24 Feb 2023
Do We Need Explainable AI in Companies? Investigation of Challenges, Expectations, and Chances from Employees' Perspective Katharina Weitz C. Dang Elisabeth André 11 1 0 07 Oct 2022
Alterfactual Explanations -- The Relevance of Irrelevance for Explaining AI Systems Silvan Mertes Christina Karle Tobias Huber Katharina Weitz Ruben Schlagowski Elisabeth André 21 12 0 19 Jul 2022
Robust Bayesian Recourse Tuan-Duy H. Nguyen Ngoc H. Bui D. Nguyen Man-Chung Yue Viet Anh Nguyen 22 13 0 22 Jun 2022
"GAN I hire you?" -- A System for Personalized Virtual Job Interview Training Alexander Heimerl Silvan Mertes T. Schneeberger Tobias Baur Ailin Liu L. Becker Nicolas Rohleder Patrick Gebhard Elisabeth André 15 1 0 08 Jun 2022
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset Leon Sixt M. Schuessler Oana-Iuliana Popescu Philipp Weiß Tim Landgraf FAtt 29 14 0 25 Apr 2022
medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space Amil Dravid Florian Schiffers Boqing Gong Aggelos K. Katsaggelos GAN MedIm 30 9 0 11 Apr 2022
Counterfactual Explanation of Brain Activity Classifiers using Image-to-Image Transfer by Generative Adversarial Network Teppei Matsui Masato Taki Trung Quang Pham J. Chikazoe K. Jimura DiffM AAML 8 10 0 28 Oct 2021
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review Sahil Verma Varich Boonsanong Minh Hoang Keegan E. Hines John P. Dickerson Chirag Shah CML 24 162 0 20 Oct 2020
Effect of Superpixel Aggregation on Explanations in LIME -- A Case Study with Biological Data Ludwig Schallner Johannes Rabold O. Scholz Ute Schmid FAtt 35 22 0 17 Oct 2019