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Efficient Interpretation of Deep Learning Models Using Graph Structure
  and Cooperative Game Theory: Application to ASD Biomarker Discovery

Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery

14 December 2018
Xiaoxiao Li
Nicha Dvornek
Yuan Zhou
Juntang Zhuang
P. Ventola
James S. Duncan
ArXivPDFHTML

Papers citing "Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery"

3 / 3 papers shown
Title
Transparency of Deep Neural Networks for Medical Image Analysis: A
  Review of Interpretability Methods
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods
Zohaib Salahuddin
Henry C. Woodruff
A. Chatterjee
Philippe Lambin
13
301
0
01 Nov 2021
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of
  Autism Spectrum Disorder: A Review
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review
Marjane Khodatars
A. Shoeibi
Delaram Sadeghi
Navid Ghaasemi
M. Jafari
...
Abbas Khosravi
S. Nahavandi
Sadiq Hussain
U. Acharya
M. Berk
20
202
0
02 Jul 2020
Domain-Agnostic Learning with Anatomy-Consistent Embedding for
  Cross-Modality Liver Segmentation
Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation
Junlin Yang
Nicha Dvornek
Fan Zhang
Juntang Zhuang
Julius Chapiro
Mingde Lin
James S. Duncan
FedML
OOD
MedIm
19
17
0
27 Aug 2019
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