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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

1 March 2023
Ramin Nakhli
Puria Azadi Moghadam
Haoyang Mi
H. Farahani
Alexander S. Baras
B. Gilks
A. Bashashati
    MedIm
    ViT
ArXivPDFHTML

Papers citing "AMIGO: Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images"

14 / 14 papers shown
Title
Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance
Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance
Mingcheng Qu
Guang Yang
Donglin Di
Tonghua Su
Yue Gao
Yang Song
Lei Fan
7
0
0
17 May 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
57
4
0
23 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
65
7
0
12 Feb 2025
From Histopathology Images to Cell Clouds: Learning Slide
  Representations with Hierarchical Cell Transformer
From Histopathology Images to Cell Clouds: Learning Slide Representations with Hierarchical Cell Transformer
Zijiang Yang
Zhongwei Qiu
Tiancheng Lin
Hanqing Chao
Wanxing Chang
...
Dakai Jin
K. Yan
Le Lu
Hui Jiang
Yun Bian
DiffM
74
0
0
21 Dec 2024
xCG: Explainable Cell Graphs for Survival Prediction in Non-Small Cell
  Lung Cancer
xCG: Explainable Cell Graphs for Survival Prediction in Non-Small Cell Lung Cancer
Marvin Sextro
Gabriel Dernbach
Kai Standvoss
S. Schallenberg
Frederick Klauschen
Klaus-Robert Müller
Maximilian Alber
Lukas Ruff
33
0
0
12 Nov 2024
Multimodal Data Integration for Precision Oncology: Challenges and
  Future Directions
Multimodal Data Integration for Precision Oncology: Challenges and Future Directions
Huajun Zhou
Fengtao Zhou
Chenyu Zhao
Yingxue Xu
Luyang Luo
Hao Chen
32
5
0
28 Jun 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
35
1
0
30 Apr 2024
Cohort-Individual Cooperative Learning for Multimodal Cancer Survival
  Analysis
Cohort-Individual Cooperative Learning for Multimodal Cancer Survival Analysis
Huajun Zhou
Fengtao Zhou
Hao Chen
26
3
0
03 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
42
3
0
26 Mar 2024
A vision transformer-based framework for knowledge transfer from
  multi-modal to mono-modal lymphoma subtyping models
A vision transformer-based framework for knowledge transfer from multi-modal to mono-modal lymphoma subtyping models
Bilel Guetarni
Féryal Windal
H. Benhabiles
Marianne Petit
Romain Dubois
Emmanuelle Leteurtre
Dominique Collard
DiffM
25
2
0
02 Aug 2023
VOLTA: an Environment-Aware Contrastive Cell Representation Learning for
  Histopathology
VOLTA: an Environment-Aware Contrastive Cell Representation Learning for Histopathology
Ramin Nakhli
Allen W. Zhang
Katherine Rich
Amirali Darbandsari
Elahe Shenasa
...
K. Milne
J. McAlpine
B. Nelson
C. Gilks
A. Bashashati
19
5
0
08 Mar 2023
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
311
7,457
0
11 Nov 2021
Every Annotation Counts: Multi-label Deep Supervision for Medical Image
  Segmentation
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation
Simon Reiß
C. Seibold
Alexander Freytag
E. Rodner
Rainer Stiefelhagen
89
61
0
27 Apr 2021
DeepSurv: Personalized Treatment Recommender System Using A Cox
  Proportional Hazards Deep Neural Network
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network
Jared Katzman
Uri Shaham
Jonathan Bates
A. Cloninger
Tingting Jiang
Y. Kluger
BDL
CML
OOD
115
1,231
0
02 Jun 2016
1