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

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

17 November 2022
Ahmad Chaddad
Qizong Lu
Jiali Li
Y. Katib
R. Kateb
C. Tanougast
Ahmed Bouridane
Ahmed Abdulkadir
    OOD
ArXivPDFHTML

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

37 / 87 papers shown
Title
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis
Yifan Zhang
Ying Wei
P. Zhao
Shuaicheng Niu
Qingyao Wu
Mingkui Tan
Junzhou Huang
OOD
67
147
0
17 Nov 2019
Deep radiomic features from MRI scans predict survival outcome of
  recurrent glioblastoma
Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma
Ahmad Chaddad
Saima Rathore
Mingli Zhang
Christian Desrosiers
T. Niazi
39
12
0
15 Nov 2019
Federated Adversarial Domain Adaptation
Federated Adversarial Domain Adaptation
Xingchao Peng
Zijun Huang
Yizhe Zhu
Kate Saenko
FedML
57
271
0
05 Nov 2019
The Domain Shift Problem of Medical Image Segmentation and
  Vendor-Adaptation by Unet-GAN
The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN
Wenjun Yan
Yuanyuan Wang
Shengjia Gu
Lu Huang
Fuhua Yan
L. Xia
Qian Tao
OOD
MedIm
43
100
0
30 Oct 2019
Federated Uncertainty-Aware Learning for Distributed Hospital EHR Data
Federated Uncertainty-Aware Learning for Distributed Hospital EHR Data
Sabri Boughorbel
Fethi Jarray
Neethu Venugopal
S. Moosa
Haithum Elhadi
Michel Makhlouf
OOD
FedML
118
51
0
27 Oct 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies,
  Opportunities and Challenges toward Responsible AI
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
Siham Tabik
...
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
XAI
116
6,251
0
22 Oct 2019
Deep Weakly-Supervised Domain Adaptation for Pain Localization in Videos
Deep Weakly-Supervised Domain Adaptation for Pain Localization in Videos
R Gnana Praveen
Eric Granger
P. Cardinal
49
26
0
17 Oct 2019
Reliable Federated Learning for Mobile Networks
Reliable Federated Learning for Mobile Networks
Jiawen Kang
Zehui Xiong
Dusit Niyato
Y. Zou
Yang Zhang
Mohsen Guizani
FedML
50
464
0
14 Oct 2019
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task
  Optimization under Privacy Constraints
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
Felix Sattler
K. Müller
Wojciech Samek
FedML
140
1,002
0
04 Oct 2019
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural
  Networks
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks
Mehdi Neshat
Zifan Wang
Bradley Alexander
Fan Yang
Zijian Zhang
Sirui Ding
Markus Wagner
Xia Hu
FAtt
86
1,066
0
03 Oct 2019
Transfer Learning with Dynamic Distribution Adaptation
Transfer Learning with Dynamic Distribution Adaptation
Jindong Wang
Yiqiang Chen
Wenjie Feng
Han Yu
Meiyu Huang
Qiang Yang
OOD
72
244
0
17 Sep 2019
Fairness in Deep Learning: A Computational Perspective
Fairness in Deep Learning: A Computational Perspective
Mengnan Du
Fan Yang
Na Zou
Xia Hu
FaML
FedML
51
231
0
23 Aug 2019
Federated Learning: Challenges, Methods, and Future Directions
Federated Learning: Challenges, Methods, and Future Directions
Tian Li
Anit Kumar Sahu
Ameet Talwalkar
Virginia Smith
FedML
112
4,509
0
21 Aug 2019
Unsupervised Domain Adaptation via Disentangled Representations:
  Application to Cross-Modality Liver Segmentation
Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation
Junlin Yang
Nicha Dvornek
Fan Zhang
Julius Chapiro
Mingde Lin
James S. Duncan
DRL
OOD
40
135
0
31 Jul 2019
Understanding Adversarial Attacks on Deep Learning Based Medical Image
  Analysis Systems
Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems
Xingjun Ma
Yuhao Niu
Lin Gu
Yisen Wang
Yitian Zhao
James Bailey
Feng Lu
MedIm
AAML
65
450
0
24 Jul 2019
Federated Machine Learning: Concept and Applications
Federated Machine Learning: Concept and Applications
Qiang Yang
Yang Liu
Tianjian Chen
Yongxin Tong
FedML
70
2,311
0
13 Feb 2019
Towards Federated Learning at Scale: System Design
Towards Federated Learning at Scale: System Design
Keith Bonawitz
Hubert Eichner
W. Grieskamp
Dzmitry Huba
A. Ingerman
...
H. B. McMahan
Timon Van Overveldt
David Petrou
Daniel Ramage
Jason Roselander
FedML
121
2,663
0
04 Feb 2019
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain
  Adaptation for Medical Image Segmentation
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation
Cheng Chen
Qi Dou
Hao Chen
J. Qin
Pheng-Ann Heng
OOD
67
311
0
24 Jan 2019
Interpretable machine learning: definitions, methods, and applications
Interpretable machine learning: definitions, methods, and applications
W. James Murdoch
Chandan Singh
Karl Kumbier
R. Abbasi-Asl
Bin Yu
XAI
HAI
185
1,441
0
14 Jan 2019
Federated Optimization in Heterogeneous Networks
Federated Optimization in Heterogeneous Networks
Tian Li
Anit Kumar Sahu
Manzil Zaheer
Maziar Sanjabi
Ameet Talwalkar
Virginia Smith
FedML
178
5,168
0
14 Dec 2018
Federated Learning with Non-IID Data
Federated Learning with Non-IID Data
Yue Zhao
Meng Li
Liangzhen Lai
Naveen Suda
Damon Civin
Vikas Chandra
FedML
149
2,567
0
02 Jun 2018
Local SGD Converges Fast and Communicates Little
Local SGD Converges Fast and Communicates Little
Sebastian U. Stich
FedML
164
1,061
0
24 May 2018
Deep Visual Domain Adaptation: A Survey
Deep Visual Domain Adaptation: A Survey
Mei Wang
Weihong Deng
OOD
66
2,010
0
10 Feb 2018
A Survey Of Methods For Explaining Black Box Models
A Survey Of Methods For Explaining Black Box Models
Riccardo Guidotti
A. Monreale
Salvatore Ruggieri
Franco Turini
D. Pedreschi
F. Giannotti
XAI
124
3,954
0
06 Feb 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
264
8,876
0
25 Aug 2017
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.1K
21,864
0
22 May 2017
Learning Important Features Through Propagating Activation Differences
Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar
Peyton Greenside
A. Kundaje
FAtt
192
3,869
0
10 Apr 2017
Domain Adaptation for Visual Applications: A Comprehensive Survey
Domain Adaptation for Visual Applications: A Comprehensive Survey
G. Csurka
OOD
61
507
0
17 Feb 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
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
270
19,981
0
07 Oct 2016
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
385
17,453
0
17 Feb 2016
"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
FAtt
FaML
1.2K
16,954
0
16 Feb 2016
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
217
5,194
0
10 Feb 2015
Striving for Simplicity: The All Convolutional Net
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
244
4,667
0
21 Dec 2014
Deep Domain Confusion: Maximizing for Domain Invariance
Deep Domain Confusion: Maximizing for Domain Invariance
Eric Tzeng
Judy Hoffman
Ning Zhang
Kate Saenko
Trevor Darrell
OOD
167
2,600
0
10 Dec 2014
Deep Neural Networks are Easily Fooled: High Confidence Predictions for
  Unrecognizable Images
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Anh Totti Nguyen
J. Yosinski
Jeff Clune
AAML
155
3,271
0
05 Dec 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.6K
39,509
0
01 Sep 2014
Network In Network
Network In Network
Min Lin
Qiang Chen
Shuicheng Yan
291
6,274
0
16 Dec 2013
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