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Pooya Ashtari

Observed names: Ashtari Pooya, Ashtari, Pooya, Ashtari, Pooya; 129604;
Observed institutions: Lyon 1 Université, Centre National de la Recherche Scientifique, Sharif University of Technology, Inserm, Université de Lyon, Ghent University, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé, KU Leuven
ORCID: 0000-0002-5032-7808
Observed ORCID: 0000-0002-5032-7808
OpenAlex ID: A5010054283
DeepISLES: a clinically validated ischemic stroke segmentation model from the ISLES'22 challenge
2025 · Ezequiel de la Rosa, Mauricio Reyes, et al. · Nature Communications · 65
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Factorizer: A scalable interpretable approach to context modeling for medical image segmentation
2022 · Pooya Ashtari, Diana M. Sima, et al. · Medical Image Analysis · 63
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New multiple sclerosis lesion segmentation and detection using pre-activation U-Net
2022 · Pooya Ashtari, Berardino Barile, et al. · Frontiers in Neuroscience · 30
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Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome
2022 · Berardino Barile, Pooya Ashtari, et al. · Frontiers in Robotics and AI · 18
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Predicting treatment retention in medication for opioid use disorder: a machine learning approach using NLP and LLM-derived clinical features
2025 · Fateme Nateghi Haredasht, Ivan Lopez, et al. · Journal of the American Medical Informatics Association · 10
Low-Rank Convolutional Networks for Brain Tumor Segmentation
2021 · Pooya Ashtari, Frederik Maes, et al. · Lecture notes in computer science · 9
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Supervised fuzzy partitioning
2019 · Pooya Ashtari, Fateme Nateghi Haredasht, et al. · Pattern Recognition · 8
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Deep learning-based image compression for wireless communications: impacts on robustness, throughput, and latency
2026 · Mostafa Naseri, Pooya Ashtari, et al. · npj Wireless Technology · 7
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Classification of EEG signals using the Spatio-temporal feature selection via the elastic net
2016 · Shahryar Noei, Pooya Ashtari, et al. · National and International Iranian Conference on Biomedical Engineering (ICBME) · 7
Longitudinal Multiple Sclerosis Lesion Segmentation Using Pre-activation U-Net
2023 · Pooya Ashtari, Berardino Barile, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition · 3
FUTON: Fourier Tensor Networks for Implicit Neural Representations
2026 · Ashtari, Pooya, Behmandpoor, Pourya, et al. · arXiv (Cornell University) · 2
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Deconver: A Deconvolutional Network for Medical Image Segmentation
2025 · Pooya Ashtari, Shahryar Noei, et al. · IEEE Journal of Biomedical and Health Informatics · 1
LARGO: Low-Rank Hypernetwork for Handling Missing Modalities
2026 · Vyncke, Niels, Ashtari, Pooya, et al. · arXiv (Cornell University)
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Deconver for Stroke Lesion Segmentation
2026 · Vyncke, Niels, Noei, Shahryar, et al. · Ghent University Academic Bibliography (Ghent University)
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Neural Field Fourier Token Mixers for Medical Image Segmentation
2026 · Vyncke, Niels, Ashtari, Pooya, et al. · Ghent University Academic Bibliography (Ghent University)
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Quantization-aware matrix factorization for low bit rate image compression
2025 · Pooya Ashtari, Pourya Behmandpoor, et al. · Information Sciences
DeepISLES: a clinically validated ischemic stroke segmentation model from the ISLES'22 challenge
2025 · De La Rosa, Ezequiel, Reyes, Mauricio, et al. · Zurich Open Repository and Archive (University of Zurich)
Right Patient, Right Specialist, Right Time: Retrieval Augmented Generation for Specialty Referral Routing
2025 · Haredasht, Fateme Nateghi, Goh, Ethan, et al. · PubMed Central
Right Patient, Right Specialist, Right Time: Retrieval Augmented Generation for Specialty Referral Routing.
2024 · Fateme Nateghi Haredasht, Ethan Goh, et al. · PubMed
Segmentation et détection de lésions cérébrales combinant apprentissage profond et factorisation à partir d'IRM multi-paramétriques
2023 · Pooya Ashtari · theses.fr (ABES)
A Kernel Based Multilinear SVD Approach for Multiple Sclerosis Profiles Classification
2022 · Berardino Barile, Pooya Ashtari, et al. · European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)
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弾性ネットを用いた空間‐時間特徴選択を用いたEEG信号の分類【Powered by NICT】
2016 · Noei Shahryar, Ashtari Pooya, et al. · IEEE Conference Proceedings
Works count: 27
Citation count: 224
H-index: 7
I10-index: 5
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