Explaining the Black-box Smoothly- A Counterfactual Approach

Explaining the Black-box Smoothly- A Counterfactual Approach

11 January 2021

Papers citing "Explaining the Black-box Smoothly- A Counterfactual Approach"

10 / 10 papers shown

Title
PointExplainer: Towards Transparent Parkinson's Disease Diagnosis Xuechao Wang S. Nõmm Junqing Huang Kadri Medijainen A. Toomela Michael Ruzhansky AAML FAtt 14 0 0 04 May 2025
Explaining 3D Computed Tomography Classifiers with Counterfactuals Joseph Paul Cohen Louis Blankemeier Akshay S. Chaudhari MedIm 64 0 0 11 Feb 2025
Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation Chong Wang Fengbei Liu Yuanhong Chen Helen Frazer Gustavo Carneiro 27 2 0 07 Nov 2024
Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder Matan Atad D. Schinz Hendrik Moeller Robert Graf Benedikt Wiestler Daniel Rueckert Nassir Navab Jan S. Kirschke Matthias Keicher CML DiffM MedIm 24 3 0 02 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 23 4 0 21 Jun 2024
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images Dmytro Shvetsov Joonas Ariva M. Domnich Raul Vicente Dmytro Fishman MedIm 24 0 0 19 Apr 2024
Identifying Spurious Correlations using Counterfactual Alignment Joseph Paul Cohen Louis Blankemeier Akshay S. Chaudhari CML 43 1 0 01 Dec 2023
MIML: Multiplex Image Machine Learning for High Precision Cell Classification via Mechanical Traits within Microfluidic Systems Khayrul Islam Ratul Paul Shen Wang Yaling Liu Partho Adhikary Qiying Li Xiaochen Qin Yaling Liu 18 0 0 15 Sep 2023
Explaining Visual Models by Causal Attribution Álvaro Parafita Jordi Vitrià CML FAtt 54 35 0 19 Sep 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018