Spectral Graph Convolutions for Population-based Disease Prediction

8 March 2017

Papers citing "Spectral Graph Convolutions for Population-based Disease Prediction"

50 / 67 papers shown

Title
Network Representation Learning for Biophysical Neural Network Analysis Youngmok Ha Yongjoo Kim Hyun Jae Jang Seungyeon Lee Eunji Pak 30 0 0 15 Oct 2024
MLC-GCN: Multi-Level Generated Connectome Based GCN for AD Analysis Wenqi Zhu Yinghua Fu Ze Wang 45 0 0 06 Aug 2024
Population Graph Cross-Network Node Classification for Autism Detection Across Sample Groups Anna Stephens Francisco Santos Pang-Ning Tan A. Esfahanian 26 1 0 10 Jan 2024
AdaMedGraph: Adaboosting Graph Neural Networks for Personalized Medicine Jie Lian Xufang Luo Caihua Shan Dongqi Han V. Vardhanabhuti Dongsheng Li 37 0 0 24 Nov 2023
BrainNetDiff: Generative AI Empowers Brain Network Generation via Multimodal Diffusion Model Yongcheng Zong Shuqiang Wang MedIm DiffM 36 0 0 09 Nov 2023
HDGL: A hierarchical dynamic graph representation learning model for brain disorder classification Parniyan Jalali M. Safayani 6 1 0 06 Nov 2023
Copy Number Variation Informs fMRI-based Prediction of Autism Spectrum Disorder Nicha Dvornek C. Sullivan James S. Duncan Abha R. Gupta 11 0 0 08 Aug 2023
Dynamic Dual-Graph Fusion Convolutional Network For Alzheimer's Disease Diagnosis Fanshi Li Zhihui Wang Yifan Guo Congcong Liu Yanjie Zhu Yihang Zhou Jun Li Dong Liang Haifeng Wang 12 0 0 05 Aug 2023
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 45 0 0 13 Jul 2023
Extended Graph Assessment Metrics for Graph Neural Networks Tamara T. Mueller Sophie Starck Leonhard F. Feiner Kyriaki-Margarita Bintsi Daniel Rueckert Georgios Kaissis 32 1 0 13 Jul 2023
S3M: Scalable Statistical Shape Modeling through Unsupervised Correspondences Lennart Bastian Alexander Bauman Emily Hoppe Vincent Burgin Ha Young Kim Mahdi Saleh Benjamin Busam Nassir Navab 30 8 0 15 Apr 2023
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
Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research Fabian Eitel Marc-Andre Schulz Moritz Seiler Henrik Walter K. Ritter AI4CE 19 42 0 20 Jan 2023
Node-oriented Spectral Filtering for Graph Neural Networks Shuai Zheng Zhenfeng Zhu Zhizhe Liu Youru Li Yao-Min Zhao 28 16 0 07 Dec 2022
Heterogeneous Graph Learning for Multi-modal Medical Data Analysis Sein Kim Namkyeong Lee Junseok Lee Dongmin Hyun Chanyoung Park 38 24 0 28 Nov 2022
Data-Driven Network Neuroscience: On Data Collection and Benchmark Jiaxing Xu Yunhan Yang David Tse Jung Huang S. S. Gururajapathy Yiping Ke Miao Qiao Alan Wang Haribalan Kumar Josh McGeown Yunhan Yang 11 8 0 11 Nov 2022
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective Chaoqi Chen Yushuang Wu Qiyuan Dai Hong-Yu Zhou Mutian Xu Sibei Yang Xiaoguang Han Yizhou Yu ViT MedIm AI4CE 32 74 0 27 Sep 2022
Multimodal Brain Disease Classification with Functional Interaction Learning from Single fMRI Volume Weiming Dai Zi-Ke Zhang L. Tian Shengyuan Yu Shuhui Wang Zhao Dong Hairong Zheng MedIm 33 2 0 05 Aug 2022
BolT: Fused Window Transformers for fMRI Time Series Analysis H. Bedel Irmak Sivgin Onat Dalmaz S. Dar Tolga Çukur 61 54 0 23 May 2022
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications Kamilia Mullakaeva Luca Cosmo Anees Kazi Seyed-Ahmad Ahmadi Nassir Navab Michael M. Bronstein 40 6 0 01 Apr 2022
Contrastive Graph Learning for Population-based fMRI Classification Xuesong Wang Lina Yao I. Rekik Yu Zhang 33 9 0 26 Mar 2022
Improving the Level of Autism Discrimination through GraphRNN Link Prediction Haonan Sun Q. He Shouliang Qi Yudong Yao Yueyang Teng 22 0 0 19 Feb 2022
An overview of deep learning in medical imaging I. Haq VLM 21 5 0 17 Feb 2022
Identifying Autism Spectrum Disorder Based on Individual-Aware Down-Sampling and Multi-Modal Learning Li Pan Jundong Liu M. Shi C. Wong K. Chan 32 11 0 19 Sep 2021
Sickle Cell Disease Severity Prediction from Percoll Gradient Images using Graph Convolutional Networks Ario Sadafi A. Makhro L. Livshits Nassir Navab A. Bogdanova Shadi Albarqouni Carsten Marr MedIm 16 3 0 11 Sep 2021
U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction Matthias Keicher Hendrik Burwinkel D. Bani-Harouni Magdalini Paschali Tobias Czempiel E. Burian Marcus R. Makowski R. Braren Nassir Navab T. Wendler 27 7 0 29 Jul 2021
Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification Fuad M. Noman C. Ting Hakmook Kang Rapharl Phan Brian D. Boyd Warren D. Taylor H. Ombao 21 26 0 27 Jul 2021
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
Graph Neural Networks in Network Neuroscience Alaa Bessadok Mohamed Ali Mahjoub I. Rekik GNN 32 170 0 07 Jun 2021
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson 20 178 0 27 May 2021
Modelling Urban Dynamics with Multi-Modal Graph Convolutional Networks Krittika D’Silva Jordan Cambe A. Noulas Cecilia Mascolo Adam Waksman GNN 18 0 0 29 Apr 2021
Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity Nicha Dvornek Xiaoxiao Li Juntang Zhuang P. Ventola James S. Duncan 17 1 0 15 Apr 2021
Lorentzian Graph Convolutional Networks Yiding Zhang Xiao Wang C. Shi Nian Liu Guojie Song 29 96 0 15 Apr 2021
GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference Mahsa Ghorbani Mojtaba Bahrami Anees Kazi M. Baghshah Hamid R. Rabiee Nassir Navab 16 9 0 08 Apr 2021
IA-GCN: Interpretable Attention based Graph Convolutional Network for Disease prediction Anees Kazi Soroush Farghadani Nassir Navab GNN 25 14 0 29 Mar 2021
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
Edge-variational Graph Convolutional Networks for Uncertainty-aware Disease Prediction Yongxiang Huang Albert C. S. Chung MedIm 19 61 0 06 Sep 2020
Self-supervised Training of Graph Convolutional Networks Qikui Zhu Bo Du Pingkun Yan SSL GNN 19 44 0 03 Jun 2020
Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC) G. Vivar Anees Kazi Hendrik Burwinkel A. Zwergal Nassir Navab Seyed-Ahmad Ahmadi 25 15 0 14 May 2020
A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis Li Zhang Mingliang Wang Mingxia Liu Daoqiang Zhang 23 155 0 10 May 2020
Decision Support for Intoxication Prediction Using Graph Convolutional Networks Hendrik Burwinkel Matthias Keicher D. Bani-Harouni T. Zellner F. Eyer Nassir Navab Seyed-Ahmad Ahmadi 16 2 0 02 May 2020
Latent-Graph Learning for Disease Prediction Luca Cosmo Anees Kazi Seyed-Ahmad Ahmadi Nassir Navab M. Bronstein MedIm 14 66 0 27 Mar 2020
Deep Markov Spatio-Temporal Factorization Amirreza Farnoosh B. Rezaei Eli Sennesh Zulqarnain Khan Jennifer Dy Ajay Satpute J. B. Hutchinson Jan-Willem van de Meent Sarah Ostadabbas AI4TS 17 4 0 22 Mar 2020
Differentiable Graph Module (DGM) for Graph Convolutional Networks Anees Kazi Luca Cosmo Seyed-Ahmad Ahmadi Nassir Navab M. Bronstein GNN MedIm 14 129 0 11 Feb 2020
Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis Byung-Hoon Kim J. C. Ye AI4CE GNN 23 131 0 10 Jan 2020
Hyperbolic Graph Attention Network Yiding Zhang Tianlin Li Xunqiang Jiang C. Shi Yanfang Ye GNN 27 129 0 06 Dec 2019
Hepatocellular Carcinoma Intra-arterial Treatment Response Prediction for Improved Therapeutic Decision-Making Junlin Yang Nicha Dvornek Fan Zhang Julius Chapiro Mingde Lin Aaron C. Abajian James S. Duncan 25 0 0 01 Dec 2019
Learnable Pooling in Graph Convolution Networks for Brain Surface Analysis Karthik Gopinath Christian Desrosiers H. Lombaert 27 25 0 22 Nov 2019
Multi-hop Convolutions on Weighted Graphs Qikui Zhu Bo Du Pingkun Yan 17 15 0 12 Nov 2019
Learning Representations of Graph Data -- A Survey Mital Kinderkhedia GNN 20 12 0 07 Jun 2019