3 papers
cs.CV2023
A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction using Multimodal MRI Data
Nima Hatami, Laura Mechtouff, David Rousseau +4
Patient outcome prediction is critical in management of ischemic stroke. In this paper, a novel machine learning model is proposed for stroke outcome prediction using multimodal Ma…
eess.IV2022
CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients
Nima Hatami, Tae-Hee Cho, Laura Mechtouff +3
Clinical outcome prediction plays an important role in stroke patient management. From a machine learning point-of-view, one of the main challenges is dealing with heterogeneous da…
physics.bio-ph2015
A physical description of the adhesion and aggregation of platelets
Bastien Chopard, Daniel Ribeiro de Sousa, Jonas Latt +8
The early stages of clot formation in blood vessels involve platelets adhesion-aggregation. Although these mechanisms have been extensively studied, gaps in their understanding sti…