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Graph Neural Networks in Histopathology: Emerging Trends and Future Directions
18 June 2024
Siemen Brussee
Giorgio Buzzanca
Anne M.R. Schrader
Jesper Kers
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Papers citing
"Graph Neural Networks in Histopathology: Emerging Trends and Future Directions"
6 / 6 papers shown
Title
Revisiting Data Challenges of Computational Pathology: A Pack-based Multiple Instance Learning Training Framework
Wenhao Tang
Heng Fang
Ge Wu
Xiang Li
Ming-Ming Cheng
143
0
0
25 Sep 2025
FireGNN: Neuro-Symbolic Graph Neural Networks with Trainable Fuzzy Rules for Interpretable Medical Image Classification
Prajit Sengupta
Islem Rekik
AI4CE
114
0
0
02 Sep 2025
Continuous Simplicial Neural Networks
Aref Einizade
Dorina Thanou
Fragkiskos D. Malliaros
Jhony H. Giraldo
AI4CE
271
2
0
17 Mar 2025
A Graph-Based Framework for Interpretable Whole Slide Image Analysis
Alexander Weers
Alexander H. Berger
Laurin Lux
Peter Schüffler
Daniel Rueckert
Johannes C. Paetzold
269
0
0
14 Mar 2025
A New Era in Computational Pathology: A Survey on Foundation and Vision-Language Models
Dibaloke Chanda
Milan Aryal
Nasim Yahya Soltani
Masoud Ganji
AI4CE
VLM
313
11
0
23 Aug 2024
GRASP: GRAph-Structured Pyramidal Whole Slide Image Representation
Ali Khajegili Mirabadi
Graham Archibald
Amirali Darbandsari
A. Contreras-Sanz
Ramin Nakhli
...
C. Gilks
Peter C Black
Gang Wang
H. Farahani
A. Bashashati
216
7
0
06 Feb 2024
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