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Semi-supervised Pathology Segmentation with Disentangled Representations

Semi-supervised Pathology Segmentation with Disentangled Representations

5 September 2020
Haochuan Jiang
A. Chartsias
Xinheng Zhang
G. Papanastasiou
S. Semple
M. Dweck
David Semple
R. Dharmakumar
Sotirios A. Tsaftaris
ArXiv (abs)PDFHTML

Papers citing "Semi-supervised Pathology Segmentation with Disentangled Representations"

3 / 3 papers shown
Title
Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic review
Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic review
A. Ankolekar
S. Boie
M. Abdollahyan
E. Gadaleta
S. A. Hasheminasab
...
M. Bussmann
S. Khalid
H. Kruger
Philippe Lambin
G. Papanastasiou
AI4CE
84
2
0
08 Aug 2024
Is attention all you need in medical image analysis? A review
Is attention all you need in medical image analysis? A review
G. Papanastasiou
Nikolaos Dikaios
Jiahao Huang
Chengjia Wang
Guang Yang
ViTMedIm
90
26
0
24 Jul 2023
Learning Disentangled Representations in the Imaging Domain
Learning Disentangled Representations in the Imaging Domain
Xiao Liu
Pedro Sanchez
Spyridon Thermos
Alison Q. OÑeil
Sotirios A. Tsaftaris
OODDRL
192
72
0
26 Aug 2021
1