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GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial Learning
Frontiers in Artificial Intelligence (FAI), 2020
22 December 2020
Silvan Mertes
Tobias Huber
Katharina Weitz
Alexander Heimerl
Elisabeth André
GAN
AAML
MedIm
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Papers citing
"GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial Learning"
32 / 32 papers shown
LeapFactual: Reliable Visual Counterfactual Explanation Using Conditional Flow Matching
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Xuan Zhao
Lena Krieger
Hanno Scharr
Ira Assent
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343
1
0
16 Oct 2025
On the notion of missingness for path attribution explainability methods in medical settings: Guiding the selection of medically meaningful baselines
Alexander Geiger
Lars Wagner
Daniel Rueckert
Dirk Wilhelm
A. Jell
OOD
BDL
MedIm
396
0
0
20 Aug 2025
Perceptual Evaluation of GANs and Diffusion Models for Generating X-rays
Gregory Schuit
Denis Parra
Cecilia Besa
DiffM
MedIm
171
1
0
10 Aug 2025
Your Model Is Unfair, Are You Even Aware? Inverse Relationship Between Comprehension and Trust in Explainability Visualizations of Biased ML Models
Zhanna Kaufman
Madeline Endres
Cindy Xiong Bearfield
Yuriy Brun
235
3
0
31 Jul 2025
Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images
Zahra Tehraninasab
Hujun Ni
Amar Kumar
Tal Arbel
MedIm
LM&MA
205
0
0
17 Jul 2025
Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading
Zhe Wang
Yuhua Ru
Aladine Chetouani
Tina Shiang
Fang Chen
...
Didier Hans
Rachid Jennane
William Ewing Palmer
Mohamed Jarraya
Yung Hsin Chen
MedIm
216
0
0
18 Jun 2025
Explaining Low Perception Model Competency with High-Competency Counterfactuals
Sara Pohland
Claire Tomlin
DiffM
AAML
329
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
354
13
0
28 Feb 2025
Flexible Counterfactual Explanations with Generative Models
Stig Hellemans
Andres Algaba
Sam Verboven
Vincent Ginis
348
1
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
335
0
0
12 Feb 2025
Explainable Artificial Intelligence for Medical Applications: A Review
Qiyang Sun
Alican Akman
Björn Schuller
590
44
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
314
5
0
24 Aug 2024
DiffExplainer: Unveiling Black Box Models Via Counterfactual Generation
D. C. Marshall
Shuang Wu
Zihao Jin
Caiwen Xu
Shiyi Wang
Simon Walsh
Guang Yang
MedIm
443
7
0
21 Jun 2024
Probabilistically Plausible Counterfactual Explanations with Normalizing Flows
Patryk Wielopolski
Oleksii Furman
Jerzy Stefanowski
Maciej Ziȩba
344
9
0
27 May 2024
Decoding Decision Reasoning: A Counterfactual-Powered Model for Knowledge Discovery
D. C. Marshall
Zihao Jin
Xiaodan Xing
Simon Walsh
Guang Yang
MedIm
259
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
309
1
0
08 May 2024
DXAI: Explaining Classification by Image Decomposition
Elnatan Kadar
Guy Gilboa
FAtt
392
1
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
449
33
0
21 Dec 2023
Debiasing Counterfactuals In the Presence of Spurious Correlations
Amar Kumar
Nima Fathi
Raghav Mehta
Brennan Nichyporuk
Jean-Pierre Falet
Sotirios A. Tsaftaris
Tal Arbel
CML
MedIm
225
13
0
21 Aug 2023
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
British medical journal (BMJ), 2023
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
429
312
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
389
4
0
22 Jun 2023
Using generative AI to investigate medical imagery models and datasets
EBioMedicine (EBioMedicine), 2023
Oran Lang
Doron Stupp
I. Traynis
Heather Cole-Lewis
Chloe R. Bennett
...
Avinatan Hassidim
Yossi Matias
Yao Xiao
N. Hammel
Boris Babenko
MedIm
343
47
0
01 Jun 2023
Adversarial Counterfactual Visual Explanations
Computer Vision and Pattern Recognition (CVPR), 2023
Guillaume Jeanneret
Loïc Simon
F. Jurie
DiffM
362
53
0
17 Mar 2023
GANterfactual-RL: Understanding Reinforcement Learning Agents' Strategies through Visual Counterfactual Explanations
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Tobias Huber
Maximilian Demmler
Silvan Mertes
Matthew Lyle Olson
Elisabeth André
353
25
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
251
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
233
12
0
19 Jul 2022
Robust Bayesian Recourse
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Tuan-Duy H. Nguyen
Ngoc H. Bui
D. Nguyen
Man-Chung Yue
Viet Anh Nguyen
320
17
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
283
4
0
08 Jun 2022
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset
International Conference on Learning Representations (ICLR), 2022
Leon Sixt
M. Schuessler
Oana-Iuliana Popescu
Philipp Weiß
Tim Landgraf
FAtt
252
21
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
285
12
0
11 Apr 2022
Counterfactual Explanation of Brain Activity Classifiers using Image-to-Image Transfer by Generative Adversarial Network
Frontiers in Neuroinformatics (FN), 2021
Teppei Matsui
Masato Taki
Trung Quang Pham
J. Chikazoe
K. Jimura
DiffM
AAML
316
16
0
28 Oct 2021
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review
ACM Computing Surveys (ACM CSUR), 2020
Sahil Verma
Varich Boonsanong
Minh Hoang
Keegan E. Hines
John P. Dickerson
Chirag Shah
CML
812
281
0
20 Oct 2020
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