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Hierarchical Graph Representations in Digital Pathology

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
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Papers citing "Hierarchical Graph Representations in Digital Pathology"

22 / 22 papers shown
Title
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
42
0
0
14 Mar 2025
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
26
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
47
0
0
05 Sep 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
40
26
0
12 Mar 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
30
130
0
13 Dec 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
20
1
0
08 Jun 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
18
9
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
CLL
OOD
MedIm
34
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
20
17
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
33
7
0
17 Dec 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
13
24
0
12 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
20
43
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
ViT
MedIm
21
42
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
24
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
48
123
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
32
45
0
21 Jul 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
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
189
916
0
02 Mar 2020
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
200
746
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
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
267
1,944
0
09 Jun 2018
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
295
10,618
0
19 Feb 2017
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