Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis

25 October 2022

Papers citing "Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis"

5 / 5 papers shown

Title
Functional Graph Convolutional Networks: A unified multi-task and multi-modal learning framework to facilitate health and social-care insights Tobia Boschi Francesca Bonin Rodrigo Ordonez-Hurtado Cécile Rousseau Alessandra Pascale J. Dinsmore 34 2 0 15 Mar 2024
Optimizing contrastive learning for cortical folding pattern detection Aymeric Gaudin Louise Guillon Clara Fischer Arnaud Cachia D. Rivière J. F. Mangin J. Chavas 51 3 0 31 Jan 2024
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 29 3 0 13 Jul 2023
Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer Mingyuan Meng Lei Bi M. Fulham Da-wei Feng Jinman Kim ViT MedIm 27 8 0 07 Jul 2023
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 315 36,381 0 25 Aug 2016