Global and Local Interpretability for Cardiac MRI Classification

Global and Local Interpretability for Cardiac MRI Classification

14 June 2019

Esther Puyol-Antón

Papers citing "Global and Local Interpretability for Cardiac MRI Classification"

9 / 9 papers shown

Title
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When? M. Rubaiyat Hossain Mondal Prajoy Podder 20 56 0 10 Apr 2023
Attri-VAE: attribute-based interpretable representations of medical images with variational autoencoders Irem Cetin Maialen Stephens Oscar Camara M. A. G. Ballester DRL 38 39 0 20 Mar 2022
Human-Centered Concept Explanations for Neural Networks Chih-Kuan Yeh Been Kim Pradeep Ravikumar FAtt 29 25 0 25 Feb 2022
Echocardiography Segmentation with Enforced Temporal Consistency Nathan Painchaud Nicolas Duchateau Olivier Bernard Pierre-Marc Jodoin 24 49 0 03 Dec 2021
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods Zohaib Salahuddin Henry C. Woodruff A. Chatterjee Philippe Lambin 15 301 0 01 Nov 2021
Interpretability of a Deep Learning Model in the Application of Cardiac MRI Segmentation with an ACDC Challenge Dataset Adrianna Janik J. Dodd Georgiana Ifrim Kris Sankaran Kathleen M. Curran 25 26 0 15 Mar 2021
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises S. Kevin Zhou H. Greenspan Christos Davatzikos James S. Duncan Bram van Ginneken A. Madabhushi Jerry L. Prince Daniel Rueckert Ronald M. Summers 52 624 0 02 Aug 2020
Debiasing Concept-based Explanations with Causal Analysis M. T. Bahadori David Heckerman FAtt CML 11 38 0 22 Jul 2020
Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction Esther Puyol-Antón C. L. P. Chen J. Clough B. Ruijsink B. Sidhu ... M. Elliott Vishal S. Mehta Daniel Rueckert C. Rinaldi A. King 11 32 0 24 Jun 2020