Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease

5 June 2018

Papers citing "Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease"

30 / 30 papers shown

Title
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
Population Graph Cross-Network Node Classification for Autism Detection Across Sample Groups Anna Stephens Francisco Santos Pang-Ning Tan A. Esfahanian 23 1 0 10 Jan 2024
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
DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRI H. Bedel Tolga Çukur DiffM MedIm 31 24 0 18 Jul 2023
Brain Diffuser: An End-to-End Brain Image to Brain Network Pipeline Xuhang Chen Baiying Lei Chi-Man Pun Shuqiang Wang MedIm DiffM 24 21 0 11 Mar 2023
Adversarial Learning Networks: Source-free Unsupervised Domain Incremental Learning Abhinit Kumar Ambastha Tze-Yun Leong CLL OOD 15 1 0 28 Jan 2023
Unsupervised pre-training of graph transformers on patient population graphs Chantal Pellegrini Nassir Navab Anees Kazi MedIm AI4CE 42 11 0 21 Jul 2022
BolT: Fused Window Transformers for fMRI Time Series Analysis H. Bedel Irmak Sivgin Onat Dalmaz S. Dar Tolga Çukur 59 54 0 23 May 2022
Modern Views of Machine Learning for Precision Psychiatry Z. Chen Prathamesh Kulkarni Kulkarni I. Galatzer-Levy Benedetta Bigio C. Nasca Yu Zhang 49 90 0 04 Apr 2022
Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification Angelica I. Aviles-Rivero Christina Runkel Nicolas Papadakis Zoe Kourtzi Carola-Bibiane Schönlieb DiffM MedIm 19 19 0 04 Apr 2022
Deep reinforcement learning guided graph neural networks for brain network analysis Xusheng Zhao Jia Wu Hao Peng Amin Beheshti Jessica J. M. Monaghan ... Mark Dras Qiong Dai Yangyang Li Philip S. Yu Lifang He GNN 30 44 0 18 Mar 2022
An explainability framework for cortical surface-based deep learning Fernanda L. Ribeiro S. Bollmann R. Cunnington A. M. Puckett FAtt AAML MedIm 18 2 0 15 Mar 2022
Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series Usman Mahmood Z. Fu Vince D. Calhoun Sergey Plis 38 3 0 04 Feb 2022
MHATC: Autism Spectrum Disorder identification utilizing multi-head attention encoder along with temporal consolidation modules Ranjeet Ranjan Jha Abhishek Bhardwaj Devina Garg Arnav V. Bhavsar A. Nigam 13 2 0 27 Dec 2021
FedNI: Federated Graph Learning with Network Inpainting for Population-Based Disease Prediction Liang Peng Nan Wang Nicha Dvornek Xiaofeng Zhu Xiaoxiao Li FedML AI4CE 15 70 0 19 Dec 2021
Longitudinal Speech Biomarkers for Automated Alzheimer's Detection Jordi Laguarta B. Subirana 18 33 0 22 Nov 2021
Heterogeneous Graph-Based Multimodal Brain Network Learning Gen Shi Yifan Zhu Wenjin Liu Quanming Yao Xia Li 23 7 0 16 Oct 2021
A Prior Guided Adversarial Representation Learning and Hypergraph Perceptual Network for Predicting Abnormal Connections of Alzheimer's Disease Qiankun Zuo Baiying Lei Shuqiang Wang Yong Liu Bingchuan Wang Yanyan Shen OOD MedIm 22 8 0 12 Oct 2021
DecGAN: Decoupling Generative Adversarial Network detecting abnormal neural circuits for Alzheimer's disease Junren Pan Baiying Lei Shuqiang Wang Bingchuan Wang Yong Liu Yanyan Shen 18 22 0 12 Oct 2021
Identifying Autism Spectrum Disorder Based on Individual-Aware Down-Sampling and Multi-Modal Learning Li Pan Jundong Liu M. Shi C. Wong K. Chan 30 11 0 19 Sep 2021
AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction Hao Chen Fuzhen Zhuang Li Xiao Ling Ma Haiyan Liu Ruifang Zhang Huiqin Jiang Qing He 15 14 0 16 Jun 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 115 0 16 Dec 2020
MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction Changhee Han L. Rundo K. Murao T. Noguchi Yuki Shimahara Z. '. Milacski S. Koshino Evis Sala Hideki Nakayama Shinichi Satoh MedIm 94 159 0 24 Jul 2020
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review Marjane Khodatars A. Shoeibi Delaram Sadeghi Navid Ghaasemi M. Jafari ... Abbas Khosravi S. Nahavandi Sadiq Hussain U. Acharya M. Berk 28 202 0 02 Jul 2020
Temporal Graph Networks for Deep Learning on Dynamic Graphs Emanuele Rossi B. Chamberlain Fabrizio Frasca D. Eynard Federico Monti M. Bronstein AI4CE 14 629 0 18 Jun 2020
A Hybrid 3DCNN and 3DC-LSTM based model for 4D Spatio-temporal fMRI data: An ABIDE Autism Classification study A. E. Gazzar Mirjam Quaak L. Cerliani Peter Bloem G. Wingen R. Thomas 20 35 0 14 Feb 2020
Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis Byung-Hoon Kim J. C. Ye AI4CE GNN 21 131 0 10 Jan 2020
Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation Junhao Wen Elina Thibeau-Sutre Mauricio Diaz-Melo J. Samper-González A. Routier Simona Bottani Didier Dormont S. Durrleman Ninon Burgos O. Colliot 14 506 0 16 Apr 2019
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,239 0 24 Nov 2016