A compilation on the contribution of the classic-curvature and the intensity-curvature functional to the study of healthy and pathological MRI of the human brain. - Carlo Ciulla; Filip A. Risteski; Dimitar Veljanovski; Ustijana Shikoska Rechkoska; Edmund Adomako; Farouk Yahaya (Int. J. Appl. Pattern Recognit., 2015)

Edge finding in magnetic resonance imaging applications: the calculation of the first order derivative of two dimensional images. - Farouk Yahaya (Int. J. Appl. Pattern Recognit., 2017)

Faster-than-fast NMF using random projections and Nesterov iterations. - Farouk Yahaya; Matthieu Puigt; Gilles Delmaire; Gilles Roussel 002 (CoRR, 2018)

How to Apply Random Projections to Nonnegative Matrix Factorization with Missing Entries? - Farouk Yahaya; Matthieu Puigt; Gilles Delmaire; Gilles Roussel 002 (EUSIPCO, 2019)

Gaussian Compression Stream: Principle and Preliminary Results. - Farouk Yahaya; Matthieu Puigt; Gilles Delmaire; Gilles Roussel 002 (CoRR, 2020)

In Situ Calibration of Cross-Sensitive Sensors in Mobile Sensor Arrays Using Fast Informed Non-Negative Matrix Factorization. - Olivier Vu Thanh; Matthieu Puigt; Farouk Yahaya; Gilles Delmaire; Gilles Roussel 002 (ICASSP, 2021)

Random Projection Streams for (Weighted) Nonnegative Matrix Factorization. - Farouk Yahaya; Matthieu Puigt; Gilles Delmaire; Gilles Roussel 002 (ICASSP, 2021)

Compressive informed (semi-)non-negative matrix factorization methods for incomplete and large-scale data : with application to mobile crowd-sensing data. (Méthodes étendues de factorisation informée de matrices ou tenseurs (semi-) non-négatifs pour l'analyse de données incomplètes et de grande dimension : Application au traitement de données issues du mobile crowdsensing). - Farouk Yahaya (2021)

A Framework for Compressed Weighted Nonnegative Matrix Factorization. - Farouk Yahaya; Matthieu Puigt; Gilles Delmaire; Gilles Roussel 002 (IEEE Trans. Signal Process., 2024)