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Pooya Ashtari

Showing results (1-10 of 7) with videos related to

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Frontiers in Neuroscience|November 17, 2022
New multiple sclerosis lesion segmentation and detection using pre-activation U-NetPooya Ashtari, Berardino Barile, Sabine Van Huffel, et al.
Medical Image Analysis|December 14, 2022
Factorizer: A scalable interpretable approach to context modeling for medical image segmentationPooya Ashtari, Diana M Sima, Lieven De Lathauwer, et al.
IEEE Journal of Biomedical and Health Informatics|November 24, 2025
Deconver: A Deconvolutional Network for Medical Image SegmentationPooya Ashtari, Shahryar Noei, Fateme Nateghi Haredasht, et al.
Frontiers in Robotics and AI|October 31, 2022
Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectomeBerardino Barile, Pooya Ashtari, Claudio Stamile, et al.
Journal of the American Medical Informatics Association : JAMIA|September 22, 2025
Predicting treatment retention in medication for opioid use disorder: a machine learning approach using NLP and LLM-derived clinical featuresFateme Nateghi Haredasht, Ivan Lopez, Steven Tate, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|February 23, 2026
Right Patient, Right Specialist, Right Time: Retrieval Augmented Generation for Specialty Referral RoutingFateme Nateghi Haredasht, Ethan Goh, Vishnu Ravi, et al.
Nature Communications|August 9, 2025
DeepISLES: a clinically validated ischemic stroke segmentation model from the ISLES'22 challengeEzequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Frontiers in Neuroscience|November 17, 2022
New multiple sclerosis lesion segmentation and detection using pre-activation U-NetPooya Ashtari, Berardino Barile, Sabine Van Huffel, et al.
Medical Image Analysis|December 14, 2022
Factorizer: A scalable interpretable approach to context modeling for medical image segmentationPooya Ashtari, Diana M Sima, Lieven De Lathauwer, et al.
IEEE Journal of Biomedical and Health Informatics|November 24, 2025
Deconver: A Deconvolutional Network for Medical Image SegmentationPooya Ashtari, Shahryar Noei, Fateme Nateghi Haredasht, et al.
Frontiers in Robotics and AI|October 31, 2022
Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectomeBerardino Barile, Pooya Ashtari, Claudio Stamile, et al.
Journal of the American Medical Informatics Association : JAMIA|September 22, 2025
Predicting treatment retention in medication for opioid use disorder: a machine learning approach using NLP and LLM-derived clinical featuresFateme Nateghi Haredasht, Ivan Lopez, Steven Tate, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|February 23, 2026
Right Patient, Right Specialist, Right Time: Retrieval Augmented Generation for Specialty Referral RoutingFateme Nateghi Haredasht, Ethan Goh, Vishnu Ravi, et al.
Nature Communications|August 9, 2025
DeepISLES: a clinically validated ischemic stroke segmentation model from the ISLES'22 challengeEzequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew, et al.
Pageof 1