4 papers
Biology-driven assessment of deep learning super-resolution imaging of the porosity network in dentin
Lauren Anderson, Lucas Chatelain, Nicolas Tremblay +3
The mechanosensory system of teeth is currently believed to partly rely on Odontoblast cells stimulation by fluid flow through a porosity network extending through dentin. Visualiz…
Online simplex-structured matrix factorization
Hugues Kouakou, José Henrique de Morais Goulart, Raffaele Vitale +4
Simplex-structured matrix factorization (SSMF) is a common task encountered in signal processing and machine learning. Minimum-volume constrained unmixing (MVCU) algorithms are amo…
On-the-fly spectral unmixing based on Kalman filtering
Hugues Kouakou, José Henrique de Morais Goulart, Raffaele Vitale +4
This work introduces an on-the-fly (i.e., online) linear unmixing method which is able to sequentially analyze spectral data acquired on a spectrum-by-spectrum basis. After derivin…
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…