| Factorizer: A scalable interpretable approach to context modeling for medical image segmentation P Ashtari, DM Sima, L De Lathauwer, D Sappey-Marinier, F Maes, ... Medical image analysis 84, 102706, 2023 | 38 | 2023 |
| Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome B Barile, P Ashtari, C Stamile, A Marzullo, F Maes, F Durand-Dubief, ... Frontiers in Robotics and AI 9, 926255, 2022 | 15 | 2022 |
| New multiple sclerosis lesion segmentation and detection using pre-activation U-Net P Ashtari, B Barile, S Van Huffel, D Sappey-Marinier Frontiers in Neuroscience 16, 975862, 2022 | 13 | 2022 |
| Supervised fuzzy partitioning P Ashtari, FN Haredasht, H Beigy Pattern Recognition 97, 107013, 2020 | 12 | 2020 |
| Longitudinal multiple sclerosis lesion segmentation using pre-activation U-Net P Ashtari, B Barile, S Van Huffel, D Sappey-Marinier MSSEG-2 challenge proceedings: Multiple sclerosis new lesions segmentation …, 2021 | 7 | 2021 |
| Low-rank convolutional networks for brain tumor segmentation P Ashtari, F Maes, S Van Huffel Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021 | 6 | 2021 |
| Classification of eeg signals using the spatio-temporal feature selection via the elastic net S Noei, P Ashtari, M Jahed, BV Vahdat 2016 23rd Iranian Conference on Biomedical Engineering and 2016 1st …, 2016 | 6 | 2016 |
| A robust ensemble algorithm for ischemic stroke lesion segmentation: Generalizability and clinical utility beyond the isles challenge E de la Rosa, M Reyes, SL Liew, A Hutton, R Wiest, J Kaesmacher, ... arXiv preprint arXiv:2403.19425, 2024 | 4 | 2024 |
| Deep Learning-Based Image Compression for Wireless Communications: Impacts on Reliability, Throughput, and Latency M Naseri, P Ashtari, M Seif, E De Poorter, HV Poor, A Shahid arXiv preprint arXiv:2411.10650, 2024 | | 2024 |
| Quantization-free Lossy Image Compression Using Integer Matrix Factorization P Ashtari, P Behmandpoor, FN Haredasht, JH Chen, P Patrinos, ... arXiv preprint arXiv:2408.12691, 2024 | | 2024 |
| Segmentation et détection de lésions cérébrales combinant apprentissage profond et factorisation à partir d'IRM multi-paramétriques P Ashtari Université Claude Bernard-Lyon I; KU Leuven (1970-....), 2023 | | 2023 |
| Brain Lesion Segmentation and Detection on Multi-parametric MRI Data: Marrying Deep Learning with Low-rank Factorization P Ashtari | | 2023 |
| A Kernel Based Multilinear SVD Approach for Multiple Sclerosis Profiles Classification. B Barile, P Ashtari, F Durand-Dubief, F Maes, D Sappey-Marinier, ... ESANN, 2022 | | 2022 |
| New Multiple Sclerosis Lesion Segmentation Using Pre-activation U-Net P Ashtari, B Barile, S Van Huffel, D Sappey-Marinier | | |
Sabine Van HuffelKU Leuven在 esat.kuleuven.be 的电子邮件经过验证
