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Latent-Graph Learning for Disease Prediction

Latent-Graph Learning for Disease Prediction

27 March 2020
Luca Cosmo
Anees Kazi
Seyed-Ahmad Ahmadi
Nassir Navab
M. Bronstein
    MedIm
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Papers citing "Latent-Graph Learning for Disease Prediction"

14 / 14 papers shown
Title
MM-GTUNets: Unified Multi-Modal Graph Deep Learning for Brain Disorders Prediction
MM-GTUNets: Unified Multi-Modal Graph Deep Learning for Brain Disorders Prediction
Luhui Cai
Weiming Zeng
Hongyu Chen
Hua Zhang
Yueyang Li
Hongjie Yan
Lingbin Bian
Lingbin Bian
Wai Ting Siok
Nizhuan Wang
MedIm
55
3
0
20 Jun 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
19
2
0
26 Sep 2023
MaxCorrMGNN: A Multi-Graph Neural Network Framework for Generalized
  Multimodal Fusion of Medical Data for Outcome Prediction
MaxCorrMGNN: A Multi-Graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction
N. S. D'Souza
Hongzhi Wang
Andrea Giovannini
A. Foncubierta-Rodríguez
Kristen L. Beck
Orest Boyko
T. Syeda-Mahmood
32
3
0
13 Jul 2023
Privacy-Utility Trade-offs in Neural Networks for Medical Population
  Graphs: Insights from Differential Privacy and Graph Structure
Privacy-Utility Trade-offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure
Tamara T. Mueller
Maulik Chevli
Ameya Daigavane
Daniel Rueckert
Georgios Kaissis
42
0
0
13 Jul 2023
E(n) Equivariant Message Passing Simplicial Networks
E(n) Equivariant Message Passing Simplicial Networks
Floor Eijkelboom
Rob D. Hesselink
Erik J. Bekkers
22
14
0
11 May 2023
Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery
Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery
Junbin Mao
Jin Liu
Han Lin
Hulin Kuang
Shirui Pan
Yi-Lun Pan
Shan Xie
Fei Liu
Yi Pan
26
1
0
03 Mar 2023
A Survey of Geometric Optimization for Deep Learning: From Euclidean
  Space to Riemannian Manifold
A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold
Yanhong Fei
Xian Wei
Yingjie Liu
Zhengyu Li
Mingsong Chen
30
6
0
16 Feb 2023
Robust Training of Graph Neural Networks via Noise Governance
Robust Training of Graph Neural Networks via Noise Governance
Siyi Qian
Haochao Ying
Renjun Hu
Jingbo Zhou
Jintai Chen
Danny Chen
Jian Wu
NoLa
33
34
0
12 Nov 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
46
11
0
21 Jul 2022
Learning to Infer Structures of Network Games
Learning to Infer Structures of Network Games
Emanuele Rossi
Federico Monti
Yan Leng
Michael M. Bronstein
Xiaowen Dong
42
9
0
16 Jun 2022
Bending Graphs: Hierarchical Shape Matching using Gated Optimal
  Transport
Bending Graphs: Hierarchical Shape Matching using Gated Optimal Transport
Mahdi Saleh
Shun-cheng Wu
Luca Cosmo
Nassir Navab
Benjamin Busam
F. Tombari
29
22
0
03 Feb 2022
Multi-modal Graph Learning for Disease Prediction
Multi-modal Graph Learning for Disease Prediction
Shuai Zheng
Zhenfeng Zhu
Zhizhe Liu
Zhenyu Guo
Yang Liu
Yao Zhao
34
97
0
01 Jul 2021
RA-GCN: Graph Convolutional Network for Disease Prediction Problems with
  Imbalanced Data
RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data
Mahsa Ghorbani
Anees Kazi
M. Baghshah
Hamid R. Rabiee
Nassir Navab
27
72
0
27 Feb 2021
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
264
3,243
0
24 Nov 2016
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