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A graph-transformer for whole slide image classification

A graph-transformer for whole slide image classification

19 May 2022
Yi Zheng
R. Gindra
Emily J. Green
E. Burks
Margrit Betke
J. Beane
V. Kolachalama
    MedIm
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Papers citing "A graph-transformer for whole slide image classification"

50 / 52 papers shown
Title
Histo-Miner: Deep Learning based Tissue Features Extraction Pipeline from H&E Whole Slide Images of Cutaneous Squamous Cell Carcinoma
Histo-Miner: Deep Learning based Tissue Features Extraction Pipeline from H&E Whole Slide Images of Cutaneous Squamous Cell Carcinoma
Lucas Sancéré
Carina Lorenz
Doris Helbig
Oana-Diana Persa
Sonja Dengler
...
Martim Laimer
Anne Fröhlich
Jennifer Landsberg
Johannes Brägelmann
Katarzyna Bozek
44
0
0
07 May 2025
Predicting ulcer in H&E images of inflammatory bowel disease using domain-knowledge-driven graph neural network
Predicting ulcer in H&E images of inflammatory bowel disease using domain-knowledge-driven graph neural network
Ruiwen Ding
Lin Li
R. Soans
Tosha Shah
Radha Krishnan
Marc Alexander Sze
Sasha Lukyanov
Yash Deshpande
Antong Chen
19
0
0
13 Apr 2025
BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology
BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology
Amaya Gallagher-Syed
Henry Senior
Omnia Alwazzan
Elena Pontarini
Michele Bombardieri
C. Pitzalis
M. Lewis
Michael Barnes
Luca Rossi
Gregory G. Slabaugh
41
0
0
26 Mar 2025
ModalTune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-task Learning in Digital Pathology
ModalTune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-task Learning in Digital Pathology
Vishwesh Ramanathan
Tony Xu
Pushpak Pati
Faruk Ahmed
Maged Goubran
Anne L. Martel
48
0
0
21 Mar 2025
PSA-MIL: A Probabilistic Spatial Attention-Based Multiple Instance Learning for Whole Slide Image Classification
PSA-MIL: A Probabilistic Spatial Attention-Based Multiple Instance Learning for Whole Slide Image Classification
Sharon Peled
Y. Maruvka
Moti Freiman
38
0
0
20 Mar 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
42
0
0
14 Mar 2025
Can We Simplify Slide-level Fine-tuning of Pathology Foundation Models?
Can We Simplify Slide-level Fine-tuning of Pathology Foundation Models?
Jiawen Li
Jiali Hu
Qiehe Sun
Renao Yan
Minxi Ouyang
Tian Guan
Anjia Han
Chao He
Yonghong He
MedIm
63
0
0
28 Feb 2025
A Survey of Graph Transformers: Architectures, Theories and Applications
A Survey of Graph Transformers: Architectures, Theories and Applications
Chaohao Yuan
Kangfei Zhao
Ercan Engin Kuruoglu
Liang Wang
Tingyang Xu
Wenbing Huang
Deli Zhao
Hong Cheng
Yu Rong
55
4
0
23 Feb 2025
PathFinder: A Multi-Modal Multi-Agent System for Medical Diagnostic Decision-Making Applied to Histopathology
PathFinder: A Multi-Modal Multi-Agent System for Medical Diagnostic Decision-Making Applied to Histopathology
Fatemeh Ghezloo
M. S. Seyfioglu
Rustin Soraki
Wisdom O. Ikezogwo
Beibin Li
Tejoram Vivekanandan
J. Elmore
Ranjay Krishna
Linda G. Shapiro
88
3
0
13 Feb 2025
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification
Jiangbo Shi
Chen Li
Tieliang Gong
Yefeng Zheng
Huazhu Fu
VLM
60
7
0
12 Feb 2025
FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification
FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification
Zhengrui Guo
Conghao Xiong
Jiabo Ma
Qichen Sun
Lishuang Feng
Jinzhuo Wang
Hao Chen
179
0
0
22 Nov 2024
Sm: enhanced localization in Multiple Instance Learning for medical
  imaging classification
Sm: enhanced localization in Multiple Instance Learning for medical imaging classification
Francisco M. Castro-Macías
Pablo Morales-Álvarez
Yunan Wu
Rafael Molina
Aggelos K. Katsaggelos
28
1
0
04 Oct 2024
EFCM: Efficient Fine-tuning on Compressed Models for deployment of large
  models in medical image analysis
EFCM: Efficient Fine-tuning on Compressed Models for deployment of large models in medical image analysis
Shaojie Li
Zhaoshuo Diao
24
0
0
18 Sep 2024
cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet
  Process
cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process
Yihang Chen
Tsai Hor Chan
Guosheng Yin
Yuming Jiang
Lequan Yu
25
0
0
16 Jul 2024
Benchmarking Embedding Aggregation Methods in Computational Pathology: A
  Clinical Data Perspective
Benchmarking Embedding Aggregation Methods in Computational Pathology: A Clinical Data Perspective
Shengjia Chen
Gabriele Campanella
Abdulkadir Elmas
A. Stock
Jennifer Zeng
...
Adam J. Schoenfeld
Kuan-lin Huang
Jane Houldsworth
Chad M. Vanderbilt
Thomas J. Fuchs
39
3
0
10 Jul 2024
GTP-4o: Modality-prompted Heterogeneous Graph Learning for Omni-modal
  Biomedical Representation
GTP-4o: Modality-prompted Heterogeneous Graph Learning for Omni-modal Biomedical Representation
Chenxin Li
Xinyu Liu
Cheng Wang
Yifan Liu
Weihao Yu
Jing Shao
Yixuan Yuan
40
13
0
08 Jul 2024
Combining Graph Neural Network and Mamba to Capture Local and Global
  Tissue Spatial Relationships in Whole Slide Images
Combining Graph Neural Network and Mamba to Capture Local and Global Tissue Spatial Relationships in Whole Slide Images
Ruiwen Ding
Kha-Dinh Luong
Erika Rodriguez
Ana Cristina Araujo Lemos da Silva
William Hsu
Mamba
46
2
0
05 Jun 2024
Understanding differences in applying DETR to natural and medical images
Understanding differences in applying DETR to natural and medical images
Yanqi Xu
Yiqiu Shen
C. Fernandez‐Granda
Laura Heacock
Krzysztof J. Geras
MedIm
62
2
0
27 May 2024
Multi-Scale Heterogeneity-Aware Hypergraph Representation for
  Histopathology Whole Slide Images
Multi-Scale Heterogeneity-Aware Hypergraph Representation for Histopathology Whole Slide Images
Minghao Han
Xukun Zhang
Dingkang Yang
Tao Liu
Haopeng Kuang
Jinghui Feng
Lihua Zhang
27
1
0
30 Apr 2024
Semantics-Aware Attention Guidance for Diagnosing Whole Slide Images
Semantics-Aware Attention Guidance for Diagnosing Whole Slide Images
Kechun Liu
Wenjun Wu
J. Elmore
Linda G. Shapiro
MedIm
40
1
0
16 Apr 2024
Integrative Graph-Transformer Framework for Histopathology Whole Slide
  Image Representation and Classification
Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification
Zhan Shi
Jingwei Zhang
Jun Kong
Fusheng Wang
MedIm
34
3
0
26 Mar 2024
Adversary-Robust Graph-Based Learning of WSIs
Adversary-Robust Graph-Based Learning of WSIs
Saba Heidari Gheshlaghi
Milan Aryal
Nasim Yahyasoltani
Masoud Ganji
OOD
AAML
27
0
0
21 Mar 2024
FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware
  Graph Transformer
FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer
Dongyeong Hwang
Hyunju Kim
Sunwoo Kim
Kijung Shin
AI4CE
50
2
0
19 Mar 2024
Re-identification from histopathology images
Re-identification from histopathology images
J. Ganz
Jonas Ammeling
Samir Jabari
Katharina Breininger
Marc Aubreville
29
1
0
19 Mar 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
32
25
0
12 Mar 2024
Cell Graph Transformer for Nuclei Classification
Cell Graph Transformer for Nuclei Classification
Wei Lou
Guanbin Li
Xiang Wan
Haofeng Li
ViT
MedIm
53
4
0
20 Feb 2024
Large-scale Long-tailed Disease Diagnosis on Radiology Images
Large-scale Long-tailed Disease Diagnosis on Radiology Images
Qiaoyu Zheng
Weike Zhao
Chaoyi Wu
Xiaoman Zhang
Lisong Dai
Hengyu Guan
Yuehua Li
Ya-Qin Zhang
Yanfeng Wang
Weidi Xie
LM&MA
MedIm
32
5
0
26 Dec 2023
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
Seeing the random forest through the decision trees. Supporting learning
  health systems from histopathology with machine learning models: Challenges
  and opportunities
Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities
Ricardo Gonzalez
Ashirbani Saha
Clinton J.V. Campbell
Peyman Nejat
Cynthia Lokker
Andrew P. Norgan
33
13
0
06 Dec 2023
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
27
0
0
27 Oct 2023
MUSTANG: Multi-Stain Self-Attention Graph Multiple Instance Learning
  Pipeline for Histopathology Whole Slide Images
MUSTANG: Multi-Stain Self-Attention Graph Multiple Instance Learning Pipeline for Histopathology Whole Slide Images
Amaya Gallagher-Syed
Luca Rossi
F. Rivellese
C. Pitzalis
M. Lewis
Michael Barnes
Gregory Slabaugh
24
0
0
19 Sep 2023
HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image
  Analysis
HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis
Ziyu Guo
Wei-Ye Zhao
Shujun Wang
Lequan Yu
28
13
0
14 Sep 2023
Improving diagnosis and prognosis of lung cancer using vision
  transformers: A scoping review
Improving diagnosis and prognosis of lung cancer using vision transformers: A scoping review
Hazrat Ali
Farida Mohsen
Zubair Shah
LM&MA
MedIm
15
25
0
06 Sep 2023
RACR-MIL: Weakly Supervised Skin Cancer Grading using Rank-Aware
  Contextual Reasoning on Whole Slide Images
RACR-MIL: Weakly Supervised Skin Cancer Grading using Rank-Aware Contextual Reasoning on Whole Slide Images
A. Choudhary
Angelina S. Hwang
Jacob A. Kechter
Krishnakant V. Saboo
Blake Bordeaux
...
Emma Johnson
L. Swanson
Dennis H. Murphree
Aaron Mangold
Ravishankar K. Iyer
24
0
0
29 Aug 2023
Histopathology Whole Slide Image Analysis with Heterogeneous Graph
  Representation Learning
Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning
Tsai Hor Chan
Fernando Julio Cendra
Lan Ma
Guosheng Yin
Lequan Yu
28
44
0
09 Jul 2023
Revisiting Computer-Aided Tuberculosis Diagnosis
Revisiting Computer-Aided Tuberculosis Diagnosis
Yun-Hai Liu
Yu-Huan Wu
Shi-Chen Zhang
Li Liu
Min-Ying Wu
Ming-Ming Cheng
27
14
0
06 Jul 2023
Multi-Scale Prototypical Transformer for Whole Slide Image
  Classification
Multi-Scale Prototypical Transformer for Whole Slide Image Classification
Saisai Ding
Jun Wang
Juncheng Li
Jun Shi
MedIm
21
17
0
05 Jul 2023
Rethinking Multiple Instance Learning for Whole Slide Image
  Classification: A Good Instance Classifier is All You Need
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need
Linhao Qu
Yingfan Ma
Xiao-Zhuo Luo
Manning Wang
Zhijian Song
VLM
19
18
0
05 Jul 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
ViT
MedIm
27
7
0
25 May 2023
CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and
  Subtyping in Whole Slide Images
CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images
Olga Fourkioti
Matt De Vries
Chris Bakal
30
4
0
09 May 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
Exploring the Utility of Self-Supervised Pretraining Strategies for the
  Detection of Absent Lung Sliding in M-Mode Lung Ultrasound
Exploring the Utility of Self-Supervised Pretraining Strategies for the Detection of Absent Lung Sliding in M-Mode Lung Ultrasound
Blake Vanberlo
Brian Li
Alexander Wong
Jesse Hoey
R. Arntfield
13
4
0
05 Apr 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
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical
  Attention-Guided Multiple Instance Learning for Whole Slide Image
  Classification
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification
Conghao Xiong
Hao Chen
Joseph J. Y. Sung
Irwin King
MedIm
21
36
0
19 Jan 2023
Advances in Medical Image Analysis with Vision Transformers: A
  Comprehensive Review
Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review
Reza Azad
A. Kazerouni
Moein Heidari
Ehsan Khodapanah Aghdam
Amir Molaei
Yiwei Jia
Abin Jose
Rijo Roy
Dorit Merhof
MedIm
ViT
30
161
0
09 Jan 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
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
28
7
0
17 Dec 2022
Vision Transformers in Medical Imaging: A Review
Vision Transformers in Medical Imaging: A Review
Emerald U. Henry
Onyeka Emebob
C. Omonhinmin
ViT
MedIm
22
34
0
18 Nov 2022
An Aggregation of Aggregation Methods in Computational Pathology
An Aggregation of Aggregation Methods in Computational Pathology
M. Bilal
R. Jewsbury
Ruoyu Wang
Hammam M. AlGhamdi
Amina Asif
Mark Eastwood
Nasir M. Rajpoot
27
28
0
02 Nov 2022
A State-of-the-art Survey of Artificial Neural Networks for Whole-slide
  Image Analysis:from Popular Convolutional Neural Networks to Potential Visual
  Transformers
A State-of-the-art Survey of Artificial Neural Networks for Whole-slide Image Analysis:from Popular Convolutional Neural Networks to Potential Visual Transformers
Xintong Li
Xirong Li
Chen Li
M. Rahaman
Jian Wu
Xiaoqi Li
Yudong Yao
M. Grzegorzek
ViT
MedIm
30
43
0
13 Apr 2021
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