Projects per year
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PROFESSOR | Diagnostic, Molecular and Interventional Radiology
Biography
Dr. Greenspan is co-director of the Artificial Intelligence and Emerging Technologies in Medicine (AIET) PhD concentration at the Graduate School of Biomedical Sciences at the Icahn School of Medicine at Mount Sinai in New York. In 2021, she was appointed to be the Director of AI in Imaging at BMEII and the Director of AI Engineering Core at BMEII. In this role, she will focus on developing leading AI solutions for medical imaging applications, form collaborative efforts of the engineering and the clinical needs and lead the development of educational efforts in AI for medical applications. Dr. Greenspan holds academic appointments as Professor of Radiology at the BioMedical Engineering and Imaging Institute (BMEII) at the Icahn School of Medicine at Mount Sinai and of Biomedical Engineering at Tel-Aviv University. Dr. Greenspan is also a Co-Founder and Chief Scientist of RADLogics Inc. – a company that focuses on bringing newly developed AI image analysis tools to radiologists for clinical use.
Dr. Greenspan received her master’s degree in Electrical Engineering from the Technion-Israel Institute of Technology. She earned her doctorate in Electrical Engineering from California Institute of Technology and completed a postdoc with the computer science division at the University of California-Berkeley. She was a visiting professor at Stanford University’s Department of Radiology and at the Multimodal Mining Group at IBM Research, Almaden, CA. 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. She served as an Associate Editor for the IEEE Transactions on Medical Imaging (TMI) journal. Recently she was the Program Chair for IEEE ISBI 2020. In 2016 she was the Lead Co-editor for a special issue on Deep Learning in Medical Imaging in IEEE TMI. In 2017 she co-edited an Elsevier Academic Press book on Deep learning for Medical Image Analysis and is a co-editor of the second edition of the book.
Research interests
Biomedical Informatics, Biomedical Sciences, Image Analysis, Imaging
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Projects
- 3 Finished
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Automated Computerized Analysis of Pulmonary Embolism SeverityUsing Multimodal Weakly Supervised Deep Learning Diagnostic Tools
Greenspan, H. & Konen, E. E.
1/01/20 → 31/12/22
Project: Research
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Automated Computerized Analysis of Pulmonary Embolism Severity Using Multimodal Weakly Supervised Deep Learning Diagnostic Tools
Greenspan, H. & Konen, E. E.
1/01/20 → 31/12/22
Project: Research
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Automated Liver-lesion analysis: From lesion detection to quantification and characterization in sequential CT studies
Greenspan, H. & Amitai, M. M.
1/01/16 → 31/12/18
Project: Research
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AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging
Hadjiiski, L., Cha, K., Chan, H. P., Drukker, K., Morra, L., Näppi, J. J., Sahiner, B., Yoshida, H., Chen, Q., Deserno, T. M., Greenspan, H., Huisman, H., Huo, Z., Mazurchuk, R., Petrick, N., Regge, D., Samala, R., Summers, R. M., Suzuki, K., Tourassi, G., & 2 others , Feb 2023, In: Medical Physics. 50, 2, p. e1-e24Research output: Contribution to journal › Article › peer-review
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The Liver Tumor Segmentation Benchmark (LiTS)
Bilic, P., Christ, P., Li, H. B., Vorontsov, E., Ben-Cohen, A., Kaissis, G., Szeskin, A., Jacobs, C., Mamani, G. E. H., Chartrand, G., Lohöfer, F., Holch, J. W., Sommer, W., Hofmann, F., Hostettler, A., Lev-Cohain, N., Drozdzal, M., Amitai, M. M., Vivanti, R., Sosna, J., & 89 others , Feb 2023, In: Medical Image Analysis. 84, 102680.Research output: Contribution to journal › Short survey › peer-review
Open Access10 Scopus citations -
Adaptation of a Multi-Site Network to a New Clinical Site Via Batch-Normalization Similarity
Kasten Serlin, S., Goldberger, J. & Greenspan, H., 2022, ISBI 2022 - Proceedings: 2022 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, (Proceedings - International Symposium on Biomedical Imaging; vol. 2022-March).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Scopus citations -
A Self Supervised StyleGAN for Image Annotation and Classification With Extremely Limited Labels
Cohen Hochberg, D., Greenspan, H. & Giryes, R., 1 Dec 2022, In: IEEE Transactions on Medical Imaging. 41, 12, p. 3509-3519 11 p.Research output: Contribution to journal › Article › peer-review
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Class-Based Attention Mechanism for Chest Radiograph Multi-Label Categorization
Sriker, D., Greenspan, H. & Goldberger, J., 2022, ISBI 2022 - Proceedings: 2022 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, (Proceedings - International Symposium on Biomedical Imaging; vol. 2022-March).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Press/Media
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Mount Sinai to offer AI and emerging tech PhD program
Alan Seifert, Thomas Fuchs & Hayit Greenspan
22/04/21
1 item of Media coverage
Press/Media
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Investors focusing on telehealth, tech that addresses gaps in care, report finds
Alan Seifert & Hayit Greenspan
21/04/21
1 item of Media coverage
Press/Media
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Icahn School of Medicine at Mount Sinai Unveils New PhD Concentration
Eric Nestler, Marta Filizola, Nathan Kase, Alan Seifert, Thomas Fuchs & Hayit Greenspan
20/04/21
1 item of Media coverage
Press/Media
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Icahn School of Medicine at Mount Sinai Unveils New PhD Concentration in Artificial Intelligence and Emerging Technologies in Medicine
Eric Nestler, Marta Filizola, Nathan Kase, Alan Seifert, Thomas Fuchs & Hayit Greenspan
19/04/21 → 20/04/21
3 items of Media coverage
Press/Media