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Representation Learning of Histopathology Images using Graph Neural
  Networks

Representation Learning of Histopathology Images using Graph Neural Networks

16 April 2020
Mohammed Adnan
Shivam Kalra
Hamid R. Tizhoosh
    OOD
ArXivPDFHTML

Papers citing "Representation Learning of Histopathology Images using Graph Neural Networks"

18 / 18 papers shown
Title
BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology
BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology
Amaya Gallagher-Syed
Henry Senior
Omnia Alwazzan
Elena Pontarini
Michele Bombardieri
C. Pitzalis
M. Lewis
Michael Barnes
Luca Rossi
Gregory G. Slabaugh
43
0
0
26 Mar 2025
From Pixels to Histopathology: A Graph-Based Framework for Interpretable Whole Slide Image Analysis
From Pixels to Histopathology: A Graph-Based Framework for Interpretable Whole Slide Image Analysis
Alexander Weers
Alexander H. Berger
Laurin Lux
Peter Schüffler
Daniel Rueckert
Johannes C. Paetzold
47
0
0
14 Mar 2025
Artificial Intelligence for Digital and Computational Pathology
Artificial Intelligence for Digital and Computational Pathology
Andrew H. Song
Guillaume Jaume
Drew F. K. Williamson
Ming Y. Lu
Anurag J. Vaidya
Tiffany R. Miller
Faisal Mahmood
AI4CE
30
130
0
13 Dec 2023
Artifact-Robust Graph-Based Learning in Digital Pathology
Artifact-Robust Graph-Based Learning in Digital Pathology
Saba Heidari Gheshlaghi
Milan Aryal
Nasim Yahyasoltani
Masoud Ganji
OOD
27
0
0
27 Oct 2023
Classifying Whole Slide Images: What Matters?
Classifying Whole Slide Images: What Matters?
Long Nguyen
Aiden Nibali
Joshua Millward
Zhen He
32
0
0
05 Oct 2023
Context-Aware Self-Supervised Learning of Whole Slide Images
Context-Aware Self-Supervised Learning of Whole Slide Images
Milan Aryal
Nasim Yahya Soltani
24
5
0
07 Jun 2023
Ranking Loss and Sequestering Learning for Reducing Image Search Bias in
  Histopathology
Ranking Loss and Sequestering Learning for Reducing Image Search Bias in Histopathology
Pooria Mazaheri
Azam Asilian Bidgoli
Shahryar Rahnamayan
H. R. Tizhoosh
OOD
32
6
0
15 Apr 2023
Multi-Scale Relational Graph Convolutional Network for Multiple Instance
  Learning in Histopathology Images
Multi-Scale Relational Graph Convolutional Network for Multiple Instance Learning in Histopathology Images
Roozbeh Bazargani
L. Fazli
L. Goldenberg
M. Gleave
A. Bashashati
Septimiu Salcudean
MedIm
36
7
0
17 Dec 2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and
  Privacy Protection
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection
Bingzhe Wu
Jintang Li
Junchi Yu
Yatao Bian
Hengtong Zhang
...
Guangyu Sun
Peng Cui
Zibin Zheng
Zhe Liu
P. Zhao
OOD
45
25
0
20 May 2022
A graph-transformer for whole slide image classification
A graph-transformer for whole slide image classification
Yi Zheng
R. Gindra
Emily J. Green
E. Burks
Margrit Betke
J. Beane
V. Kolachalama
MedIm
47
123
0
19 May 2022
Multi stain graph fusion for multimodal integration in pathology
Multi stain graph fusion for multimodal integration in pathology
Chaitanya Dwivedi
Shima Nofallah
Maryam Pouryahya
Janani Iyer
K. Leidal
...
T. Watkins
A. Billin
R. Myers
J. Abel
A. Behrooz
28
18
0
26 Apr 2022
Differentiable Zooming for Multiple Instance Learning on Whole-Slide
  Images
Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images
Kevin Thandiackal
Boqi Chen
Pushpak Pati
Guillaume Jaume
Drew F. K. Williamson
M. Gabrani
O. Goksel
22
43
0
26 Apr 2022
Graph Convolutional Networks for Multi-modality Medical Imaging:
  Methods, Architectures, and Clinical Applications
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications
Kexin Ding
Mu Zhou
Zichen Wang
Qiao Liu
C. Arnold
Shaoting Zhang
Dimitris N. Metaxas
GNN
MedIm
AI4CE
33
12
0
17 Feb 2022
HistoCartography: A Toolkit for Graph Analytics in Digital Pathology
HistoCartography: A Toolkit for Graph Analytics in Digital Pathology
Guillaume Jaume
Pushpak Pati
Valentin Anklin
A. Foncubierta
M. Gabrani
35
45
0
21 Jul 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology
A Survey on Graph-Based Deep Learning for Computational Histopathology
David Ahmedt-Aristizabal
M. Armin
Simon Denman
Clinton Fookes
L. Petersson
GNN
AI4CE
19
108
0
01 Jul 2021
MS-GWNN:multi-scale graph wavelet neural network for breast cancer
  diagnosis
MS-GWNN:multi-scale graph wavelet neural network for breast cancer diagnosis
Mo Zhang
Quanzheng Li
15
14
0
29 Dec 2020
Quantifying Explainers of Graph Neural Networks in Computational
  Pathology
Quantifying Explainers of Graph Neural Networks in Computational Pathology
Guillaume Jaume
Pushpak Pati
Behzad Bozorgtabar
Antonio Foncubierta-Rodríguez
Florinda Feroce
A. Anniciello
T. Rau
Jean-Philippe Thiran
M. Gabrani
O. Goksel
FAtt
26
76
0
25 Nov 2020
Learning Permutation Invariant Representations using Memory Networks
Learning Permutation Invariant Representations using Memory Networks
Shivam Kalra
Mohammed Adnan
Graham W. Taylor
Hamid Tizhoosh
24
23
0
18 Nov 2019
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