Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals

1 March 2023

Papers citing "Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals"

6 / 6 papers shown

Title
Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free Gian Mario Favero Parham Saremi Emily Kaczmarek Brennan Nichyporuk Tal Arbel DiffM MedIm 65 0 0 06 Feb 2025
Robust image representations with counterfactual contrastive learning Mélanie Roschewitz Fabio De Sousa Ribeiro Tian Xia G. Khara Ben Glocker OOD MedIm 43 2 0 16 Sep 2024
Is visual explanation with Grad-CAM more reliable for deeper neural networks? a case study with automatic pneumothorax diagnosis Zirui Qiu H. Rivaz Yiming Xiao FAtt 6 4 0 29 Aug 2023
Attri-VAE: attribute-based interpretable representations of medical images with variational autoencoders Irem Cetin Maialen Stephens Oscar Camara M. A. G. Ballester DRL 27 39 0 20 Mar 2022
Interpretable Mammographic Image Classification using Case-Based Reasoning and Deep Learning A. Barnett F. Schwartz Chaofan Tao Chaofan Chen Yinhao Ren J. Lo Cynthia Rudin 62 21 0 12 Jul 2021
Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images K. Schutte O. Moindrot P. Hérent Jean-Baptiste Schiratti S. Jégou FAtt MedIm 31 60 0 19 Jan 2021