Clinically-Inspired Multi-Agent Transformers for Disease Trajectory
Forecasting from Multimodal Data

Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal Data

25 October 2022

Huy Hoang Nguyen

Matthew B. Blaschko

Papers citing "Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal Data"

6 / 6 papers shown

Title
ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images Chen Liu Ke Xu Liangbo L. Shen Guillaume Huguet Zilong Wang ... Danilo Bzdok Jay Stewart Jay C. Wang L. V. Priore Smita Krishnaswamy 64 0 0 08 Jan 2025
A review of deep learning-based information fusion techniques for multimodal medical image classification Yi-Hsuan Li Mostafa EL HABIB DAHO Pierre-Henri Conze Rachid Zeghlache Hugo Le Boité R. Tadayoni B. Cochener M. Lamard G. Quellec 25 30 0 23 Apr 2024
A Foundational Framework and Methodology for Personalized Early and Timely Diagnosis Tim Schubert Richard W. Peck Alexander Gimson Camelia Davtyan M. Schaar AI4CE 17 1 0 26 Nov 2023
Evidence-aware multi-modal data fusion and its application to total knee replacement prediction Xinwen Liu Jing Wang S. Kevin Zhou Craig B. Engstrom Shekhar S. Chandra MedIm 23 3 0 24 Mar 2023
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 167 3,799 0 14 Dec 2020
Multi-classifier prediction of knee osteoarthritis progression from incomplete imbalanced longitudinal data P. Widera P. Welsing C. Ladel J. Loughlin F. Lafeber F. Dop J. Larkin H. Weinans A. Mobasheri J. Bacardit 33 54 0 30 Sep 2019