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  4. Cited By
Histographs: Graphs in Histopathology

Histographs: Graphs in Histopathology

14 August 2019
Shrey Gadiya
Deepak Anand
A. Sethi
    GNN
ArXiv (abs)PDFHTML

Papers citing "Histographs: Graphs in Histopathology"

27 / 27 papers shown
Focus on Focus: Focus-oriented Representation Learning and Multi-view
  Cross-modal Alignment for Glioma Grading
Focus on Focus: Focus-oriented Representation Learning and Multi-view Cross-modal Alignment for Glioma GradingIEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024
Li Pan
Yupei Zhang
Qiushi Yang
Tan Li
Xiaohan Xing
Maximus C. F. Yeung
Zhen Chen
214
3
0
16 Aug 2024
Adversary-Robust Graph-Based Learning of WSIs
Adversary-Robust Graph-Based Learning of WSIs
Saba Heidari Gheshlaghi
Milan Aryal
Nasim Yahyasoltani
Masoud Ganji
OODAAML
291
1
0
21 Mar 2024
Cell Graph Transformer for Nuclei Classification
Cell Graph Transformer for Nuclei Classification
Wei Lou
Guanbin Li
Xiang Wan
Haofeng Li
ViTMedIm
331
15
0
20 Feb 2024
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
344
0
0
27 Oct 2023
Heterogeneous graphs model spatial relationships between biological
  entities for breast cancer diagnosis
Heterogeneous graphs model spatial relationships between biological entities for breast cancer diagnosis
K. AkhilaKrishna
Ravish Gupta
Nikhil Cherian Kurian
Pranav Jeevan
A. Sethi
121
3
0
16 Jul 2023
Explainable and Position-Aware Learning in Digital Pathology
Explainable and Position-Aware Learning in Digital Pathology
Milan Aryal
Nasim Yahyasoltani
MedIm
146
0
0
14 Jun 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
209
1
0
17 Mar 2023
Multimodal Data Integration for Oncology in the Era of Deep Neural
  Networks: A Review
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review
Asim Waqas
Aakash Tripathi
Ravichandran Ramachandran
Paul Stewart
Ghulam Rasool
AI4CE
495
92
0
11 Mar 2023
A New Graph Node Classification Benchmark: Learning Structure from
  Histology Cell Graphs
A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs
Claudia Vanea
Jonathan Campbell
Omri Dodi
L. Salumäe
K. Meir
...
H. Hochner
T. Laisk
L. Ernst
C. Lindgren
C. Nellåker
140
6
0
11 Nov 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
Yanfeng Guo
P. Zhao
OOD
356
29
0
20 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and TrendsProceedings of the IEEE (Proc. IEEE), 2022
He Zhang
Bang Wu
Lizhen Qu
Shirui Pan
Hanghang Tong
Jian Pei
397
158
0
16 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
166
24
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
GNNMedImAI4CE
265
16
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
Qifeng Bai
Xiao-Yu Zhang
190
6
0
18 Dec 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 NetworksInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Richard J. Chen
Ming Y. Lu
Muhammad Shaban
Chengkuan Chen
Tiffany Y. Chen
Drew F. K. Williamson
Faisal Mahmood
3DPCMedIm
379
243
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
271
53
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
Akila Pemasiri
Clinton Fookes
L. Petersson
GNNAI4CE
296
135
0
01 Jul 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
160
147
0
22 Feb 2021
MS-GWNN:multi-scale graph wavelet neural network for breast cancer
  diagnosis
MS-GWNN:multi-scale graph wavelet neural network for breast cancer diagnosisIEEE International Symposium on Biomedical Imaging (ISBI), 2020
Mo Zhang
Shijie Zhao
211
15
0
29 Dec 2020
Quantifying Explainers of Graph Neural Networks in Computational
  Pathology
Quantifying Explainers of Graph Neural Networks in Computational PathologyComputer Vision and Pattern Recognition (CVPR), 2020
Guillaume Jaume
Pushpak Pati
Behzad Bozorgtabar
Antonio Foncubierta-Rodríguez
Florinda Feroce
A. Anniciello
T. Rau
Jean-Philippe Thiran
M. Gabrani
O. Goksel
FAtt
234
90
0
25 Nov 2020
Federated Learning for Computational Pathology on Gigapixel Whole Slide
  Images
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images
Ming Y. Lu
Dehan Kong
Jana Lipkova
Richard J. Chen
Rajendra Singh
Drew F. K. Williamson
Tiffany Y. Chen
Faisal Mahmood
FedMLMedIm
373
213
0
21 Sep 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
227
80
0
01 Jul 2020
Towards Explainable Graph Representations in Digital Pathology
Towards Explainable Graph Representations in Digital Pathology
Guillaume Jaume
Pushpak Pati
A. Foncubierta-Rodríguez
Florinda Feroce
G. Scognamiglio
A. Anniciello
Jean-Philippe Thiran
O. Goksel
M. Gabrani
254
43
0
01 Jul 2020
Visualization for Histopathology Images using Graph Convolutional Neural
  Networks
Visualization for Histopathology Images using Graph Convolutional Neural Networks
M. Sureka
Abhijeet Patil
Deepak Anand
A. Sethi
FAttGNNMedIm
158
38
0
16 Jun 2020
Representation Learning of Histopathology Images using Graph Neural
  Networks
Representation Learning of Histopathology Images using Graph Neural Networks
Mohammed Adnan
Shivam Kalra
Hamid R. Tizhoosh
OOD
145
115
0
16 Apr 2020
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and
  Genomic Features for Cancer Diagnosis and Prognosis
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and PrognosisIEEE Transactions on Medical Imaging (TMI), 2019
Richard J. Chen
Ming Y. Lu
Jingwen Wang
Drew F. K. Williamson
S. Rodig
N. Lindeman
Faisal Mahmood
418
561
0
18 Dec 2019
Weakly Supervised Prostate TMA Classification via Graph Convolutional
  Networks
Weakly Supervised Prostate TMA Classification via Graph Convolutional NetworksIEEE International Symposium on Biomedical Imaging (ISBI), 2019
Jingwen Wang
Richard J. Chen
Ming Y. Lu
Alexander S. Baras
Faisal Mahmood
MedIm
356
61
0
29 Oct 2019
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