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Explainable, Domain-Adaptive, and Federated Artificial Intelligence in
  Medicine

Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine

IEEE/CAA Journal of Automatica Sinica (JCAS), 2022
17 November 2022
Ahmad Chaddad
Qizong Lu
Jiali Li
Y. Katib
R. Kateb
C. Tanougast
Ahmed Bouridane
Ahmed Abdulkadir
    OOD
ArXiv (abs)PDFHTML

Papers citing "Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine"

6 / 6 papers shown
Active Visual Perception: Opportunities and Challenges
Active Visual Perception: Opportunities and Challenges
Yian Li
Xiaoyu Guo
Hao Zhang
Shuiwang Li
Xiaowei Dai
104
0
0
03 Dec 2025
Towards a Transparent and Interpretable AI Model for Medical Image Classifications
Towards a Transparent and Interpretable AI Model for Medical Image ClassificationsCognitive Neurodynamics (Cogn Neurodyn), 2025
Binbin Wen
Yihang Wu
Tareef Daqqaq
Ahmad Chaddad
115
0
0
20 Sep 2025
Challenges of Trustworthy Federated Learning: What's Done, Current Trends and Remaining Work
Challenges of Trustworthy Federated Learning: What's Done, Current Trends and Remaining Work
Nuria Rodríguez-Barroso
Mario García-Márquez
M. V. Luzón
Francisco Herrera
FedML
159
3
0
21 Jul 2025
Generalizable and Explainable Deep Learning for Medical Image Computing: An OverviewCurrent Opinion in Biomedical Engineering (COBE), 2024
Ahmad Chaddad
Yan Hu
Yihang Wu
Binbin Wen
R. Kateb
316
19
0
11 Mar 2025
SHAP-Integrated Convolutional Diagnostic Networks for Feature-Selective Medical AnalysisIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Yan Hu
Ahmad Chaddad
206
2
0
10 Mar 2025
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
2.5K
19,701
0
16 Feb 2016
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