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个人简介
Dr. Greenspan has over 200 publications in leading international journals and conferences (h-index 53) and has received several awards and patents. She is a member of journal and conference program committees, including SPIE medical imaging, IEEE ISBI and MICCAI.
I develop new Deep-Learning (DL) based methodologies applied to varying tasks in the medical image analysis space. The focus is on technology development, along with applications to real clinical needs. Tasks include MRI brain image analysis, CT liver analysis, Xray pathology detection and many more. In the past year, I have been focusing on developing DL solutions in Xray and CT to support COVID-19 analysis: from detection, to characterization and treatment support.
I develop new Deep-Learning (DL) based methodologies applied to varying tasks in the medical image analysis space. The focus is on technology development, along with applications to real clinical needs. Tasks include MRI brain image analysis, CT liver analysis, Xray pathology detection and many more. In the past year, I have been focusing on developing DL solutions in Xray and CT to support COVID-19 analysis: from detection, to characterization and treatment support.
研究兴趣
论文共 276 篇作者统计合作学者相似作者
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Usman Mahmood,Amita Shukla-Dave,Heang-Ping Chan,Karen Drukker, Ravi K Samala,Quan Chen, Daniel Vergara,Hayit Greenspan,Nicholas Petrick,Berkman Sahiner,Zhimin Huo,Ronald M Summers,
BJR artificial intelligenceno. 1 (2024): ubae003-ubae003
Son Q. Duong,Akhil Vaid, Vy Thi Ha My,Liam R. Butler,Joshua Lampert,Robert H. Pass, Alexander W. Charney,Jagat Narula,Rohan Khera,Ankit Sakhuja,Hayit Greenspan,Bruce D. Gelb,
JOURNAL OF THE AMERICAN HEART ASSOCIATIONno. 1 (2024): e031671-e031671
NMR in biomedicinepp.e5143-e5143, (2024)
DOMAIN ADAPTATION AND REPRESENTATION TRANSFER, DART 2023 (2024): 31-40
arxiv(2024)
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medRxiv : the preprint server for health sciences (2023)
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ISBIpp.1-5, (2023)
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Neurocomputing (2023): 126828-126828
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