Boosted LMS-based piecewise linear adaptive filters. - Dariush Kari; Iman Marivani; Ibrahim Delibalta; Suleyman Serdar Kozat (EUSIPCO, 2016)

Online anomaly detection in case of limited feedback with accurate distribution learning. - Iman Marivani; Dariush Kari; Ali Emirhan Kurt; Eren Manis (SIU, 2017)

Robust adaptive algorithms for underwater acoustic channel estimation and their performance analysis. - Dariush Kari; Iman Marivani; Farhan Khan; Muhammed Omer Sayin; Suleyman Serdar Kozat (Digit. Signal Process., 2017)

Multimodal Image Super-resolution via Deep Unfolding with Side Information. - Iman Marivani; Evaggelia Tsiligianni; Bruno Cornelis; Nikos Deligiannis (EUSIPCO, 2019)

Learned Multimodal Convolutional Sparse Coding for Guided Image Super-Resolution. - Iman Marivani; Evaggelia Tsiligianni; Bruno Cornelis; Nikos Deligiannis (ICIP, 2019)

Designing CNNs for Multimodal Image Super-Resolution via the Method of Multipliers. - Iman Marivani; Evaggelia Tsiligianni; Bruno Cornelis; Nikos Deligiannis (EUSIPCO, 2020)

Joint Image Super-Resolution Via Recurrent Convolutional Neural Networks With Coupled Sparse Priors. - Iman Marivani; Evaggelia Tsiligianni; Bruno Cornelis; Nikos Deligiannis (ICIP, 2020)

Interpretable Deep Multimodal Image Super-Resolution. - Iman Marivani; Evaggelia Tsiligianni; Bruno Cornelis; Nikos Deligiannis (CoRR, 2020)

Multimodal Deep Unfolding for Guided Image Super-Resolution. - Iman Marivani; Evaggelia Tsiligianni; Bruno Cornelis; Nikos Deligiannis (IEEE Trans. Image Process., 2020)

Interpretable Deep Learning for Multimodal Super-Resolution of Medical Images. - Evaggelia Tsiligianni; Matina Zerva; Iman Marivani; Nikos Deligiannis; Lisimachos P. Kondi (MICCAI (6), 2021)

Designing CNNs for Multimodal Image Restoration and Fusion via Unfolding the Method of Multipliers. - Iman Marivani; Evaggelia Tsiligianni; Bruno Cornelis; Nikos Deligiannis (IEEE Trans. Circuits Syst. Video Technol., 2022)