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Hierarchical Graph Representations in Digital Pathology
v1v2 (latest)

Hierarchical Graph Representations in Digital Pathology

22 February 2021
Pushpak Pati
Guillaume Jaume
A. Foncubierta
Florinda Feroce
A. Anniciello
G. Scognamiglio
N. Brancati
M. Fiche
E. Dubruc
D. Riccio
M. Bonito
G. De Pietro
G. Botti
Jean-Philippe Thiran
Maria Frucci
O. Goksel
M. Gabrani
ArXiv (abs)PDFHTML

Papers citing "Hierarchical Graph Representations in Digital Pathology"

43 / 43 papers shown
Title
Towards Computation- and Communication-efficient Computational Pathology
Towards Computation- and Communication-efficient Computational Pathology
Chu Han
Bingchao Zhao
Jiatai Lin
Shanshan Lyu
Longfei Wang
...
C. Liang
Hannah Y. Wen
Xiaojing Guo
Zhenwei Shi
Zaiyi Liu
MedIm
117
0
0
03 Apr 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
103
0
0
14 Mar 2025
Leveraging Vision-Language Embeddings for Zero-Shot Learning in Histopathology Images
M. Rahaman
Ewan K. A. Millar
Erik H. W. Meijering
VLM
122
0
0
13 Mar 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
79
0
0
02 Mar 2025
Cell Nuclei Detection and Classification in Whole Slide Images with Transformers
Oscar Pina
Eduard Dorca
Verónica Vilaplana
80
0
0
10 Feb 2025
Beyond Labels: A Self-Supervised Framework with Masked Autoencoders and
  Random Cropping for Breast Cancer Subtype Classification
Beyond Labels: A Self-Supervised Framework with Masked Autoencoders and Random Cropping for Breast Cancer Subtype Classification
Annalisa Chiocchetti
Marco Dossena
Christopher Irwin
Luigi Portinale
80
0
0
15 Oct 2024
Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology
Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology
Pei Liu
Luping Ji
Jiaxiang Gou
Bo Fu
Mao Ye
222
2
0
14 Sep 2024
Tissue Concepts: supervised foundation models in computational pathology
Tissue Concepts: supervised foundation models in computational pathology
Till Nicke
Jan Raphael Schaefer
Henning Hoefener
Friedrich Feuerhake
Dorit Merhof
Fabian Kiessling
Johannes Lotz
MedIm
82
2
0
05 Sep 2024
CanvOI, an Oncology Intelligence Foundation Model: Scaling FLOPS
  Differently
CanvOI, an Oncology Intelligence Foundation Model: Scaling FLOPS Differently
Jonathan Zalach
Inbal Gazy
Assaf Avinoam
Ron Sinai
Eran Shmuel
Inbar Gilboa
Christine Swisher
Naim Matasci
Reva Basho
David B. Agus
85
0
0
04 Sep 2024
From Graphs to Qubits: A Critical Review of Quantum Graph Neural
  Networks
From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks
Andrea Ceschini
Francesco Mauro
Francesca De Falco
A. Sebastianelli
A. Verdone
A. Rosato
Bertrand Le Saux
Massimo Panella
Paolo Gamba
Silvia Liberata Ullo
GNNAI4CE
93
1
0
12 Aug 2024
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
104
1
0
26 Jul 2024
DIOR-ViT: Differential Ordinal Learning Vision Transformer for Cancer
  Classification in Pathology Images
DIOR-ViT: Differential Ordinal Learning Vision Transformer for Cancer Classification in Pathology Images
Ju Cheon Lee
Keunho Byeon
Boram Song
Kyungeun Kim
Jin Tae Kwak
MedIm
103
0
0
10 Jul 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
161
11
0
18 Jun 2024
Task-oriented Embedding Counts: Heuristic Clustering-driven Feature
  Fine-tuning for Whole Slide Image Classification
Task-oriented Embedding Counts: Heuristic Clustering-driven Feature Fine-tuning for Whole Slide Image Classification
Xuenian Wang
Shanshan Shi
Renao Yan
Qiehe Sun
Lianghui Zhu
Tian Guan
Yonghong He
80
2
0
02 Jun 2024
Injecting Hierarchical Biological Priors into Graph Neural Networks for
  Flow Cytometry Prediction
Injecting Hierarchical Biological Priors into Graph Neural Networks for Flow Cytometry Prediction
Fatemeh Nassajian Mojarrad
Lorenzo Bini
Thomas Matthes
Stéphane Marchand-Maillet
AI4CE
147
0
0
28 May 2024
Dynamic Graph Representation with Knowledge-aware Attention for
  Histopathology Whole Slide Image Analysis
Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis
Jiawen Li
Yuxuan Chen
Hongbo Chu
Qiehe Sun
Tian Guan
Anjia Han
Yonghong He
103
35
0
12 Mar 2024
Cell Graph Transformer for Nuclei Classification
Cell Graph Transformer for Nuclei Classification
Wei Lou
Guanbin Li
Xiang Wan
Haofeng Li
ViTMedIm
136
5
0
20 Feb 2024
Efficient Parameter Optimisation for Quantum Kernel Alignment: A
  Sub-sampling Approach in Variational Training
Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training
M. E. Sahin
Benjamin C. B. Symons
Pushpak Pati
F. Minhas
Declan Millar
M. Gabrani
J. Robertus
Stefano Mensa
74
6
0
05 Jan 2024
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
98
152
0
13 Dec 2023
Shapley Values-enabled Progressive Pseudo Bag Augmentation for Whole
  Slide Image Classification
Shapley Values-enabled Progressive Pseudo Bag Augmentation for Whole Slide Image Classification
Renao Yan
Qiehe Sun
Cheng Jin
Yiqing Liu
Yonghong He
Tian Guan
Hao Chen
116
13
0
09 Dec 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
148
44
0
29 Aug 2023
ConSlide: Asynchronous Hierarchical Interaction Transformer with
  Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis
ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis
Yanyan Huang
Weiqin Zhao
Shujun Wang
Yu Fu
Yuming Jiang
Lequan Yu
CLL
137
19
0
25 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
78
1
0
24 Aug 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
33
2
0
16 Jul 2023
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for
  Histopathology Images
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images
Ming Y. Lu
Bowen Chen
Andrew Zhang
Drew F. K. Williamson
Richard J. Chen
Tong Ding
L. Le
Yung-Sung Chuang
Faisal Mahmood
VLMMedIm
232
102
0
13 Jun 2023
Hybrid Graph: A Unified Graph Representation with Datasets and
  Benchmarks for Complex Graphs
Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs
Zehui Li
Xiangyu Zhao
Mingzhu Shen
Guy-Bart Stan
Pietro Lio
Yiren Zhao
63
1
0
08 Jun 2023
Multi-scale Efficient Graph-Transformer for Whole Slide Image
  Classification
Multi-scale Efficient Graph-Transformer for Whole Slide Image Classification
Saisai Ding
Juncheng Li
Jun Wang
Shihui Ying
Jun Shi
ViTMedIm
67
10
0
25 May 2023
AMIGO: Sparse Multi-Modal Graph Transformer with Shared-Context
  Processing for Representation Learning of Giga-pixel Images
AMIGO: Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images
Ramin Nakhli
Puria Azadi Moghadam
Haoyang Mi
H. Farahani
Alexander S. Baras
B. Gilks
A. Bashashati
MedImViT
107
20
0
01 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
88
11
0
22 Feb 2023
Multi-scale Feature Alignment for Continual Learning of Unlabeled
  Domains
Multi-scale Feature Alignment for Continual Learning of Unlabeled Domains
Kevin Thandiackal
Luigi Piccinelli
Pushpak Pati
O. Goksel
CLLOODMedIm
91
7
0
02 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
85
19
0
07 Jan 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
106
7
0
17 Dec 2022
Stain-invariant self supervised learning for histopathology image
  analysis
Stain-invariant self supervised learning for histopathology image analysis
Alexandre Tiard
A. Wong
D. J. Ho
Yang Wu
Eliram Nof
Alvin C. Goh
Stefano Soatto
Saad Nadeem
OOD
44
6
0
14 Nov 2022
DSCA: A Dual-Stream Network with Cross-Attention on Whole-Slide Image
  Pyramids for Cancer Prognosis
DSCA: A Dual-Stream Network with Cross-Attention on Whole-Slide Image Pyramids for Cancer Prognosis
Pei Liu
Bo Fu
Feng Ye
Rui Yang
Bin Xu
Luping Ji
84
27
0
12 Jun 2022
Scaling Vision Transformers to Gigapixel Images via Hierarchical
  Self-Supervised Learning
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning
Richard J. Chen
Chengkuan Chen
Yicong Li
Tiffany Y. Chen
A. Trister
Rahul G. Krishnan
Faisal Mahmood
ViTMedIm
148
434
0
06 Jun 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
87
46
0
26 Apr 2022
ScoreNet: Learning Non-Uniform Attention and Augmentation for
  Transformer-Based Histopathological Image Classification
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification
Thomas Stegmüller
Behzad Bozorgtabar
A. Spahr
Jean-Philippe Thiran
ViTMedIm
123
43
0
15 Feb 2022
Pan-tumor CAnine cuTaneous Cancer Histology (CATCH) dataset
Pan-tumor CAnine cuTaneous Cancer Histology (CATCH) dataset
Frauke Wilm
Marco Fragoso
Christian Marzahl
Jingna Qiu
C. Puget
...
C. Bertram
R. Klopfleisch
Andreas Maier
Katharina Breininger
Marc Aubreville
MedIm
74
16
0
27 Jan 2022
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
122
129
0
08 Nov 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
102
46
0
21 Jul 2021
Fast whole-slide cartography in colon cancer histology using superpixels
  and CNN classification
Fast whole-slide cartography in colon cancer histology using superpixels and CNN classification
Frauke Wilm
M. Benz
Volker Bruns
Serop Baghdadlian
Jakob Dexl
...
Thomas Wittenberg
S. Merkel
A. Hartmann
Markus Eckstein
C. Geppert
76
5
0
30 Jun 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
109
78
0
25 Nov 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
657
958
0
02 Mar 2020
1