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Unbox the Black-box for the Medical Explainable AI via Multi-modal and
  Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond

Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond

3 February 2021
Guang Yang
Qinghao Ye
Jun Xia
ArXivPDFHTML

Papers citing "Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond"

10 / 10 papers shown
Title
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review
Sonal Allana
Mohan Kankanhalli
Rozita Dara
14
0
0
05 May 2025
ODExAI: A Comprehensive Object Detection Explainable AI Evaluation
ODExAI: A Comprehensive Object Detection Explainable AI Evaluation
Loc Phuc Truong Nguyen
Hung Truong Thanh Nguyen
Hung Cao
53
0
0
27 Apr 2025
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
Kai He
Rui Mao
Qika Lin
Yucheng Ruan
Xiang Lan
Mengling Feng
Erik Cambria
LM&MA
AILaw
65
148
0
28 Jan 2025
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Melkamu Mersha
Khang Lam
Joseph Wood
Ali AlShami
Jugal Kalita
XAI
AI4TS
55
26
0
30 Aug 2024
A Review on Explainable Artificial Intelligence for Healthcare: Why,
  How, and When?
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?
M. Rubaiyat
Hossain Mondal
Prajoy Podder
6
56
0
10 Apr 2023
Data Harmonisation for Information Fusion in Digital Healthcare: A
  State-of-the-Art Systematic Review, Meta-Analysis and Future Research
  Directions
Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions
Yang Nan
Javier Del Ser
Simon Walsh
Carola Schönlieb
M. Roberts
...
Philippe Lambin
Leonor Cerdá Alberich
L. Martí-Bonmatí
Francisco Herrera
Guang Yang
20
105
0
17 Jan 2022
Robust Weakly Supervised Learning for COVID-19 Recognition Using
  Multi-Center CT Images
Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images
Qinghao Ye
Yuan Gao
Weiping Ding
Z. Niu
Chengjia Wang
...
Minhao Wang
E. Fang
Wade Menpes-Smith
Jun Xia
Guang Yang
OOD
16
33
0
09 Dec 2021
SurvLIME: A method for explaining machine learning survival models
SurvLIME: A method for explaining machine learning survival models
M. Kovalev
Lev V. Utkin
E. Kasimov
92
69
0
18 Mar 2020
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
225
2,069
0
24 Jun 2017
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
275
10,544
0
19 Feb 2017
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