Interpretability of a Deep Learning Model in the Application of Cardiac MRI Segmentation with an ACDC Challenge Dataset

15 March 2021

Papers citing "Interpretability of a Deep Learning Model in the Application of Cardiac MRI Segmentation with an ACDC Challenge Dataset"

5 / 5 papers shown

Title
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey Rokas Gipiškis Chun-Wei Tsai Olga Kurasova 61 5 0 02 May 2024
ClaSP -- Parameter-free Time Series Segmentation Arik Ermshaus Patrick Schäfer Ulf Leser AI4TS 25 33 0 28 Jul 2022
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods Zohaib Salahuddin Henry C. Woodruff A. Chatterjee Philippe Lambin 18 302 0 01 Nov 2021
Optimising Knee Injury Detection with Spatial Attention and Validating Localisation Ability Niamh Belton I. Welaratne Adil Dahlan Ron Hearne Misgina Tsighe Hagos Aonghus Lawlor Kathleen M. Curran 13 13 0 18 Aug 2021
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 257 3,684 0 28 Feb 2017