Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling

17 March 2019

Sebastien Ourselin

Papers citing "Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling"

3 / 3 papers shown

Title
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal Data Huy Hoang Nguyen Matthew B. Blaschko S. Saarakkala A. Tiulpin MedIm AI4CE 48 15 0 25 Oct 2022
Robust parametric modeling of Alzheimer's disease progression Mostafa Mehdipour-Ghazi Mads Nielsen A. Pai Marc Modat M. Jorge Cardoso Sébastien Ourselin Lauge Sørensen OOD 11 22 0 14 Aug 2019
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 243 1,900 0 06 Jun 2016