Supervised Fuzzy Partitioning. - Pooya Ashtari; Fateme Nateghi Haredasht (CoRR, 2018)

Low-Rank Convolutional Networks for Brain Tumor Segmentation. - Pooya Ashtari; Frederik Maes; Sabine Van Huffel (BrainLes@MICCAI (1), 2020)

Supervised fuzzy partitioning. - Pooya Ashtari; Fateme Nateghi Haredasht; Hamid Beigy (Pattern Recognit., 2020)

A Kernel Based Multilinear SVD Approach for Multiple Sclerosis Profiles Classification. - Berardino Barile; Pooya Ashtari; Françoise Durand-Dubief; Frederik Maes; Dominique Sappey-Marinier; Sabine Van Huffel (ESANN, 2022)

Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome. - Berardino Barile; Pooya Ashtari; Claudio Stamile; Aldo Marzullo; Frederik Maes; Françoise Durand-Dubief; Sabine Van Huffel; Dominique Sappey-Marinier (Frontiers Robotics AI, 2022)

Factorizer: A scalable interpretable approach to context modeling for medical image segmentation. - Pooya Ashtari; Diana Maria Sima; Lieven De Lathauwer; Dominique Sappey-Marinier; Frederik Maes; Sabine Van Huffel (Medical Image Anal., 2023)

Segmentation et détection de lésions cérébrales combinant apprentissage profond et factorisation à partir d'IRM multi-paramétriques. (Brain Lesion Segmentation and Detection on Multi-parametric MRI Data : Marrying Deep Learning with Low-rank Factorization). - Pooya Ashtari (2023)

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. - Ezequiel de la Rosa; Mauricio Reyes 001; Sook-Lei Liew; Alexandre Hutton; Roland Wiest; Johannes Kaesmacher; Uta Hanning; Arsany Hakim; Richard Zubal; Waldo Valenzuela; David Robben; Diana Maria Sima; et al. (CoRR, 2024)

Quantization-free Lossy Image Compression Using Integer Matrix Factorization. - Pooya Ashtari; Pourya Behmandpoor; Fateme Nateghi Haredasht; Jonathan H. Chen; Panagiotis Patrinos; Sabine Van Huffel (CoRR, 2024)

Deep Learning-Based Image Compression for Wireless Communications: Impacts on Reliability,Throughput, and Latency. - Mostafa Naseri; Pooya Ashtari; Mohamed Seif; Eli De Poorter; H. Vincent Poor; Adnan Shahid (CoRR, 2024)

Deconver: A Deconvolutional Network for Medical Image Segmentation. - Pooya Ashtari; Shahryar Noei; Fateme Nateghi Haredasht; Jonathan H. Chen; Giuseppe Jurman; Aleksandra Pizurica; Sabine Van Huffel (CoRR, 2025)

Quantization-aware matrix factorization for low bit rate image compression. - Pooya Ashtari; Pourya Behmandpoor; Fateme Nateghi Haredasht; Jonathan H. Chen; Panagiotis Patrinos; Sabine Van Huffel (Inf. Sci., 2026)