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Reframing the Brain Age Prediction Problem to a More Interpretable and
  Quantitative Approach

Reframing the Brain Age Prediction Problem to a More Interpretable and Quantitative Approach

23 August 2023
Neha Gianchandani
Mahsa Dibaji
M. Bento
Ethan MacDonald
Roberto Souza
    FAtt
    MedIm
ArXivPDFHTML

Papers citing "Reframing the Brain Age Prediction Problem to a More Interpretable and Quantitative Approach"

2 / 2 papers shown
Title
Going Beyond Saliency Maps: Training Deep Models to Interpret Deep
  Models
Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models
Zixuan Liu
Ehsan Adeli
K. Pohl
Qingyu Zhao
FAtt
MedIm
25
8
0
16 Feb 2021
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
251
3,683
0
28 Feb 2017
1