Predicting recovery following stroke: deep learning, multimodal data and
feature selection using explainable AI

Predicting recovery following stroke: deep learning, multimodal data and feature selection using explainable AI

29 October 2023

Margarita Saranti

Artur dÁvila Garcez

Papers citing "Predicting recovery following stroke: deep learning, multimodal data and feature selection using explainable AI"

8 / 8 papers shown

Title
Deep neural network heatmaps capture Alzheimer's disease patterns reported in a large meta-analysis of neuroimaging studies Dingqian Wang N. Honnorat P. Fox K. Ritter Simon B. Eickhoff S. Seshadri Mohamad Habes 36 36 0 22 Jul 2022
Understanding Deep Networks via Extremal Perturbations and Smooth Masks Ruth C. Fong Mandela Patrick Andrea Vedaldi AAML 66 415 0 18 Oct 2019
Measurable Counterfactual Local Explanations for Any Classifier Adam White Artur Garcez FAtt 56 99 0 08 Aug 2019
Transfusion: Understanding Transfer Learning for Medical Imaging M. Raghu Chiyuan Zhang Jon M. Kleinberg Samy Bengio MedIm 77 983 0 14 Feb 2019
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 297 20,003 0 07 Oct 2016
Context Encoders: Feature Learning by Inpainting Deepak Pathak Philipp Krahenbuhl Jeff Donahue Trevor Darrell Alexei A. Efros SSL 67 5,293 0 25 Apr 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,976 0 16 Feb 2016
Unsupervised Visual Representation Learning by Context Prediction Carl Doersch Abhinav Gupta Alexei A. Efros DRL SSL 164 2,781 0 19 May 2015