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Quantifying Explainers of Graph Neural Networks in Computational
  Pathology

Quantifying Explainers of Graph Neural Networks in Computational Pathology

25 November 2020
Guillaume Jaume
Pushpak Pati
Behzad Bozorgtabar
Antonio Foncubierta-Rodríguez
Florinda Feroce
A. Anniciello
T. Rau
Jean-Philippe Thiran
M. Gabrani
O. Goksel
    FAtt
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Papers citing "Quantifying Explainers of Graph Neural Networks in Computational Pathology"

36 / 36 papers shown
Title
GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology
GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology
S. Kapse
Pushpak Pati
Srikar Yellapragada
Srijan Das
Rajarsi R. Gupta
Joel H. Saltz
Dimitris Samaras
Prateek Prasanna
VLM
46
0
0
01 Apr 2025
Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion
Daiki Nishiyama
H. Miyoshi
Noriaki Hashimoto
K. Ohshima
H. Hontani
I. Takeuchi
Jun Sakuma
39
0
0
02 Mar 2025
A Survey on Cell Nuclei Instance Segmentation and Classification:
  Leveraging Context and Attention
A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention
João D. Nunes
D. Montezuma
Domingos Oliveira
Tania Pereira
Jaime S. Cardoso
49
1
0
26 Jul 2024
Generative Modelling of Structurally Constrained Graphs
Generative Modelling of Structurally Constrained Graphs
Manuel Madeira
Clément Vignac
D. Thanou
Pascal Frossard
DiffM
51
0
0
25 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
23
10
0
22 Dec 2023
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
129
0
13 Dec 2023
Interpretable Prototype-based Graph Information Bottleneck
Interpretable Prototype-based Graph Information Bottleneck
Sangwoo Seo
Sungwon Kim
Chanyoung Park
13
12
0
30 Oct 2023
Tertiary Lymphoid Structures Generation through Graph-based Diffusion
Tertiary Lymphoid Structures Generation through Graph-based Diffusion
Manuel Madeira
D. Thanou
Pascal Frossard
MedIm
25
1
0
10 Oct 2023
Whole Slide Multiple Instance Learning for Predicting Axillary Lymph
  Node Metastasis
Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis
Glejdis Shkëmbi
Johanna P. Müller
Zhe Li
Katharina Breininger
Peter J. Schüffler
Bernhard Kainz
11
1
0
06 Oct 2023
A General-Purpose Self-Supervised Model for Computational Pathology
A General-Purpose Self-Supervised Model for Computational Pathology
Richard J. Chen
Tong Ding
Ming Y. Lu
Drew F. K. Williamson
Guillaume Jaume
...
Judy J. Wang
Walt Williams
L. Le
Georg Gerber
Faisal Mahmood
MedIm
20
42
0
29 Aug 2023
Asymmetric Co-Training with Explainable Cell Graph Ensembling for
  Histopathological Image Classification
Asymmetric Co-Training with Explainable Cell Graph Ensembling for Histopathological Image Classification
Ziqi Yang
Zhongyu Li
Chen Liu
Xiangde Luo
Xingguang Wang
Dou Xu
Chao-Ting Li
Xiaoying Qin
Meng Yang
Long Jin
32
0
0
24 Aug 2023
Explainable and Position-Aware Learning in Digital Pathology
Explainable and Position-Aware Learning in Digital Pathology
Milan Aryal
Nasim Yahyasoltani
MedIm
19
0
0
14 Jun 2023
A Survey on Explainability of Graph Neural Networks
A Survey on Explainability of Graph Neural Networks
Jaykumar Kakkad
Jaspal Jannu
Kartik Sharma
Charu C. Aggarwal
Sourav Medya
28
23
0
02 Jun 2023
Unsupervised Mutual Transformer Learning for Multi-Gigapixel Whole Slide
  Image Classification
Unsupervised Mutual Transformer Learning for Multi-Gigapixel Whole Slide Image Classification
S. Javed
Arif Mahmood
Talha Qaiser
J. Bingler
Markus Leippold
ViT
MedIm
24
6
0
03 May 2023
KS-GNNExplainer: Global Model Interpretation Through Instance
  Explanations On Histopathology images
KS-GNNExplainer: Global Model Interpretation Through Instance Explanations On Histopathology images
Sina Abdous
R. Abdollahzadeh
M. Rohban
51
1
0
14 Apr 2023
GNNFormer: A Graph-based Framework for Cytopathology Report Generation
GNNFormer: A Graph-based Framework for Cytopathology Report Generation
Yangqiaoyu Zhou
Kai-Lang Yao
Wusuo Li
MedIm
13
1
0
17 Mar 2023
Structure Embedded Nucleus Classification for Histopathology Images
Structure Embedded Nucleus Classification for Histopathology Images
Wei Lou
Xiang Wan
Guanbin Li
X. Lou
Chenghang Li
Feng Gao
Haofeng Li
16
9
0
22 Feb 2023
Weakly Supervised Joint Whole-Slide Segmentation and Classification in
  Prostate Cancer
Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer
Pushpak Pati
Guillaume Jaume
Zeineb Ayadi
Kevin Thandiackal
Behzad Bozorgtabar
M. Gabrani
O. Goksel
14
17
0
07 Jan 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
29
15
0
07 Dec 2022
Scale dependant layer for self-supervised nuclei encoding
Scale dependant layer for self-supervised nuclei encoding
Peter Naylor
Yao-Hung Hubert Tsai
Marick Laé
Makoto Yamada
SSL
28
0
0
22 Jul 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
25
25
0
20 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
45
104
0
16 May 2022
A Cognitive Explainer for Fetal ultrasound images classifier Based on
  Medical Concepts
A Cognitive Explainer for Fetal ultrasound images classifier Based on Medical Concepts
Ying-Shuai Wanga
Yunxia Liua
Licong Dongc
Xuzhou Wua
Huabin Zhangb
Qiongyu Yed
Desheng Sunc
Xiaobo Zhoue
Kehong Yuan
19
0
0
19 Jan 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
31
5
0
18 Dec 2021
CoNIC: Colon Nuclei Identification and Counting Challenge 2022
CoNIC: Colon Nuclei Identification and Counting Challenge 2022
S. Graham
Mostafa Jahanifar
Q. Vu
G. Hadjigeorghiou
Thomas Leech
David R. J. Snead
S. Raza
F. Minhas
Nasir M. Rajpoot
17
64
0
29 Nov 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
45
121
0
08 Nov 2021
Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation
  and Classification
Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification
S. Graham
Mostafa Jahanifar
A. Azam
M. Nimir
Yee Wah Tsang
...
S. Raza
H. Eldaly
K. Gopalakrishnan
David R. J. Snead
Nasir M. Rajpoot
28
123
0
25 Aug 2021
Whole Slide Images are 2D Point Clouds: Context-Aware Survival
  Prediction using Patch-based Graph Convolutional Networks
Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks
Richard J. Chen
Ming Y. Lu
Muhammad Shaban
Chengkuan Chen
Tiffany Y. Chen
Drew F. K. Williamson
Faisal Mahmood
3DPC
MedIm
41
151
0
27 Jul 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
26
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
106
0
01 Jul 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
16
177
0
27 May 2021
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels
  using Tissue Graphs
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs
Valentin Anklin
Pushpak Pati
Guillaume Jaume
Behzad Bozorgtabar
Antonio Foncubierta-Rodríguez
Jean-Philippe Thiran
M. Sibony
M. Gabrani
O. Goksel
50
38
0
04 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
15
117
0
22 Feb 2021
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph
  Neural Networks
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Minjie Wang
Da Zheng
Zihao Ye
Quan Gan
Mufei Li
...
J. Zhao
Haotong Zhang
Alex Smola
Jinyang Li
Zheng-Wei Zhang
AI4CE
GNN
194
745
0
03 Sep 2019
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
27
173
0
03 Sep 2019
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
251
3,683
0
28 Feb 2017
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