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Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past,
  Present and Future

Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future

27 May 2021
David Ahmedt-Aristizabal
M. Armin
Simon Denman
Clinton Fookes
L. Petersson
ArXivPDFHTML

Papers citing "Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future"

20 / 20 papers shown
Title
Soybean Disease Detection via Interpretable Hybrid CNN-GNN: Integrating MobileNetV2 and GraphSAGE with Cross-Modal Attention
Soybean Disease Detection via Interpretable Hybrid CNN-GNN: Integrating MobileNetV2 and GraphSAGE with Cross-Modal Attention
Md Abrar Jahin
S.
M. Mridha
Md. Jakir Hossen
Nilanjan Dey
37
1
0
03 Mar 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
Danny Wang
Ruihong Qiu
Guangdong Bai
Zi Huang
63
0
0
09 Feb 2025
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Ocheme Anthony Ekle
William Eberle
AI4TS
27
10
0
31 May 2024
A Comparative Study of Population-Graph Construction Methods and Graph
  Neural Networks for Brain Age Regression
A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression
Kyriaki-Margarita Bintsi
Tamara T. Mueller
Sophie Starck
V. Baltatzis
A. Hammers
Daniel Rueckert
17
2
0
26 Sep 2023
Information Flow in Graph Neural Networks: A Clinical Triage Use Case
Information Flow in Graph Neural Networks: A Clinical Triage Use Case
Víctor Valls
Mykhaylo Zayats
Alessandra Pascale
11
1
0
12 Sep 2023
End-to-end Deformable Attention Graph Neural Network for Single-view
  Liver Mesh Reconstruction
End-to-end Deformable Attention Graph Neural Network for Single-view Liver Mesh Reconstruction
Matej Gazda
P. Drotár
L. V. Romaguera
Samuel Kadoury
MedIm
11
0
0
13 Mar 2023
ProductGraphSleepNet: Sleep Staging using Product Spatio-Temporal Graph
  Learning with Attentive Temporal Aggregation
ProductGraphSleepNet: Sleep Staging using Product Spatio-Temporal Graph Learning with Attentive Temporal Aggregation
A. Einizade
S. Nasiri
S. H. Sardouie
G. Clifford
8
14
0
09 Dec 2022
Automated Coronary Arteries Labeling Via Geometric Deep Learning
Automated Coronary Arteries Labeling Via Geometric Deep Learning
Yadan Li
M. Armin
Simon Denman
David Ahmedt-Aristizabal
19
2
0
01 Dec 2022
Unsupervised pre-training of graph transformers on patient population
  graphs
Unsupervised pre-training of graph transformers on patient population graphs
Chantal Pellegrini
Nassir Navab
Anees Kazi
MedIm
AI4CE
37
11
0
21 Jul 2022
Graph Neural Networks in IoT: A Survey
Graph Neural Networks in IoT: A Survey
Guimin Dong
Mingyue Tang
Zhiyuan Wang
Jiechao Gao
Sikun Guo
Lihua Cai
Robert Gutierrez
Brad Campbell
Laura E. Barnes
M. Boukhechba
GNN
AI4CE
19
96
0
29 Mar 2022
Robust Graph Representation Learning for Local Corruption Recovery
Robust Graph Representation Learning for Local Corruption Recovery
Bingxin Zhou
Yuanhong Jiang
Yu Guang Wang
Jingwei Liang
Junbin Gao
Shirui Pan
Xiaoqun Zhang
OOD
28
12
0
10 Feb 2022
Releasing Graph Neural Networks with Differential Privacy Guarantees
Releasing Graph Neural Networks with Differential Privacy Guarantees
Iyiola E. Olatunji
Thorben Funke
Megha Khosla
27
44
0
18 Sep 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology
A Survey on Graph-Based Deep Learning for Computational Histopathology
David Ahmedt-Aristizabal
M. Armin
Simon Denman
Clinton Fookes
L. Petersson
GNN
AI4CE
11
105
0
01 Jul 2021
GraphFL: A Federated Learning Framework for Semi-Supervised Node
  Classification on Graphs
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs
Binghui Wang
Ang Li
H. Li
Yiran Chen
72
115
0
08 Dec 2020
Uncertainty Aware Semi-Supervised Learning on Graph Data
Uncertainty Aware Semi-Supervised Learning on Graph Data
Xujiang Zhao
Feng Chen
Shu Hu
Jin-Hee Cho
UQCV
EDL
BDL
102
130
0
24 Oct 2020
L$^2$-GCN: Layer-Wise and Learned Efficient Training of Graph
  Convolutional Networks
L2^22-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
Yuning You
Tianlong Chen
Zhangyang Wang
Yang Shen
GNN
86
82
0
30 Mar 2020
Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis
Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis
S. Gadgil
Qingyu Zhao
A. Pfefferbaum
E. Sullivan
Ehsan Adeli
K. Pohl
53
150
0
24 Mar 2020
The Future of Digital Health with Federated Learning
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
174
1,698
0
18 Mar 2020
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
278
10,599
0
19 Feb 2017
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
231
3,230
0
24 Nov 2016
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