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Towards Explainable Graph Representations in Digital Pathology

Towards Explainable Graph Representations in Digital Pathology

1 July 2020
Guillaume Jaume
Pushpak Pati
A. Foncubierta-Rodríguez
Florinda Feroce
G. Scognamiglio
A. Anniciello
Jean-Philippe Thiran
O. Goksel
M. Gabrani
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Papers citing "Towards Explainable Graph Representations in Digital Pathology"

21 / 21 papers shown
Title
xCG: Explainable Cell Graphs for Survival Prediction in Non-Small Cell
  Lung Cancer
xCG: Explainable Cell Graphs for Survival Prediction in Non-Small Cell Lung Cancer
Marvin Sextro
Gabriel Dernbach
Kai Standvoss
S. Schallenberg
Frederick Klauschen
Klaus-Robert Müller
Maximilian Alber
Lukas Ruff
33
0
0
12 Nov 2024
Graph Neural Networks in Histopathology: Emerging Trends and Future
  Directions
Graph Neural Networks in Histopathology: Emerging Trends and Future Directions
Siemen Brussee
Giorgio Buzzanca
Anne M.R. Schrader
Jesper Kers
66
8
0
18 Jun 2024
Advancing Histopathology-Based Breast Cancer Diagnosis: Insights into
  Multi-Modality and Explainability
Advancing Histopathology-Based Breast Cancer Diagnosis: Insights into Multi-Modality and Explainability
F. Abdullakutty
Y. Akbari
S. Al-Maadeed
Ahmed Bouridane
R. Hamoudi
40
1
0
07 Jun 2024
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel
  Histopathology
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology
S. Kapse
Pushpak Pati
Srijan Das
Jingwei Zhang
Chao Chen
Maria Vakalopoulou
Joel H. Saltz
Dimitris Samaras
Rajarsi R. Gupta
Prateek Prasanna
42
11
0
22 Dec 2023
Towards Explainable Motion Prediction using Heterogeneous Graph
  Representations
Towards Explainable Motion Prediction using Heterogeneous Graph Representations
Sandra Carrasco Limeros
Sylwia Majchrowska
Joakim Johnander
Christoffer Petersson
David Fernández Llorca
37
15
0
07 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
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
38
12
0
17 Feb 2022
Towards the Explanation of Graph Neural Networks in Digital Pathology
  with Information Flows
Towards the Explanation of Graph Neural Networks in Digital Pathology with Information Flows
Junchi Yu
Tingyang Xu
Ran He
42
5
0
18 Dec 2021
BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images
BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images
N. Brancati
A. Anniciello
Pushpak Pati
D. Riccio
G. Scognamiglio
...
A. Foncubierta
G. Botti
M. Gabrani
Florinda Feroce
Maria Frucci
51
124
0
08 Nov 2021
IAC: A Framework for Enabling Patient Agency in the Use of AI-Enabled
  Healthcare
IAC: A Framework for Enabling Patient Agency in the Use of AI-Enabled Healthcare
Chinasa T. Okolo
Michelle González Amador
24
0
0
29 Oct 2021
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
29
108
0
01 Jul 2021
Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in
  Lymphoid Neoplasms
Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms
Pingjun Chen
M. Aminu
Siba El Hussein
J. Khoury
Jia Wu
8
4
0
30 Jun 2021
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past,
  Present and Future
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
David Ahmedt-Aristizabal
M. Armin
Simon Denman
Clinton Fookes
L. Petersson
23
178
0
27 May 2021
Generative Causal Explanations for Graph Neural Networks
Generative Causal Explanations for Graph Neural Networks
Wanyu Lin
Hao Lan
Baochun Li
CML
36
173
0
14 Apr 2021
IA-GCN: Interpretable Attention based Graph Convolutional Network for
  Disease prediction
IA-GCN: Interpretable Attention based Graph Convolutional Network for Disease prediction
Anees Kazi
Soroush Farghadani
Nassir Navab
GNN
25
14
0
29 Mar 2021
Hierarchical Graph Representations in Digital Pathology
Hierarchical Graph Representations in Digital Pathology
Pushpak Pati
Guillaume Jaume
A. Foncubierta
Florinda Feroce
A. Anniciello
...
G. Botti
Jean-Philippe Thiran
Maria Frucci
O. Goksel
M. Gabrani
23
117
0
22 Feb 2021
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
A Practical Tutorial on Graph Neural Networks
A Practical Tutorial on Graph Neural Networks
I. Ward
J. Joyner
C. Lickfold
Yulan Guo
Bennamoun
GNN
AI4CE
32
12
0
11 Oct 2020
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for
  Histopathological Image Classification
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification
Pushpak Pati
Guillaume Jaume
Lauren Alisha Fernandes
A. Foncubierta
Florinda Feroce
...
G. Botti
O. Goksel
Jean-Philippe Thiran
Maria Frucci
M. Gabrani
31
69
0
01 Jul 2020
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal
  Cancer Histology Images
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images
Yanning Zhou
S. Graham
Navid Alemi Koohbanani
Muhammad Shaban
Pheng-Ann Heng
Nasir M. Rajpoot
MedIm
34
173
0
03 Sep 2019
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