Pooya Ashtari
Orcid: 0000-0002-5032-7808
According to our database1,
Pooya Ashtari
authored at least 10 papers
between 2018 and 2024.
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Bibliography
2024
Deep Learning-Based Image Compression for Wireless Communications: Impacts on Reliability,Throughput, and Latency.
CoRR, 2024
CoRR, 2024
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge.
CoRR, 2024
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).
PhD thesis, 2023
Factorizer: A scalable interpretable approach to context modeling for medical image segmentation.
Medical Image Anal., 2023
2022
Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome.
Frontiers Robotics AI, 2022
A Kernel Based Multilinear SVD Approach for Multiple Sclerosis Profiles Classification.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022
2020
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
2018