Kayvan Najarian
Kayvan Najarian is an Iranian-American scientist, who is a professor in the Department of Computational Medicine and Bioinformatics, Department of Emergency Medicine, and Department of Electrical Engineering and Computer Science at the University of Michigan in Ann Arbor. He is the director of Biomedical and Clinical Informatics (BCIL) University of Michigan in Ann Arbor. Additionally, he is an associate director of Michigan Institute for Data Sciences (MIDAS). He is also serving as an associate director of the MCIRCC's (Michigan Center for Integrative Research in Critical Care). Kayvan Najarian has over 200 peer-reviewed journal and conference papers, as well as several US and international patents. He is a senior member of the Institute of Electrical and Electronics Engineers, is a reviewer, referee or member of dozens more committees, journals and councils. He received his B.Sc. in electrical engineering from Sharif University of Technology, his M.Sc. in biomedical engineering from Amirkabir University of Technology, and his Ph.D. in electrical and computer engineering at University of British Columbia.Kayvan Najarian's research projects have been funded by agencies such as NSF, NIH, and DoD. He is the recipient of several national and international awards, including MHSRS 2016 Outstanding Research Accomplishment/Team/Academic. Provided by Wikipedia
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Mechanistic Assessment of Cardiovascular State Informed by Vibroacoustic Sensors by Ali Zare, Emily Wittrup, Kayvan Najarian
Published 2024-03-01
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Increasing efficiency of SVMp+ for handling missing values in healthcare prediction. by Yufeng Zhang, Zijun Gao, Emily Wittrup, Jonathan Gryak, Kayvan Najarian
Published 2023-06-01
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Feasibility Study For In-Vehicle Detection of Severe Cardiac Events by Kelsey Horan, Reza Soroushmehr, Pujitha Gunaratne, Kazutoshi Ebe, Kayvan Najarian
Published 2018-10-01
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Quadratic Multilinear Discriminant Analysis for Tensorial Data Classification by Cristian Minoccheri, Olivia Alge, Jonathan Gryak, Kayvan Najarian, Harm Derksen
Published 2023-02-01
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Automated Spleen Injury Detection Using 3D Active Contours and Machine Learning by Julie Wang, Alexander Wood, Chao Gao, Kayvan Najarian, Jonathan Gryak
Published 2021-03-01
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AI-Based Decision Support System for Traumatic Brain Injury: A Survey by Flora Rajaei, Shuyang Cheng, Craig A. Williamson, Emily Wittrup, Kayvan Najarian
Published 2023-05-01
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Prediction of oral food challenge outcomes via ensemble learning by Justin Zhang, Deborah Lee, Kylie Jungles, Diane Shaltis, Kayvan Najarian, Rajan Ravikumar, Georgiana Sanders, Jonathan Gryak
Published 2023-01-01
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Automated Segmentation and Severity Analysis of Subdural Hematoma for Patients with Traumatic Brain Injuries by Negar Farzaneh, Craig A. Williamson, Cheng Jiang, Ashok Srinivasan, Jayapalli R. Bapuraj, Jonathan Gryak, Kayvan Najarian, S. M. Reza Soroushmehr
Published 2020-09-01
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Automatic multi-anatomical skull structure segmentation of cone-beam computed tomography scans using 3D UNETR. by Maxime Gillot, Baptiste Baquero, Celia Le, Romain Deleat-Besson, Jonas Bianchi, Antonio Ruellas, Marcela Gurgel, Marilia Yatabe, Najla Al Turkestani, Kayvan Najarian, Reza Soroushmehr, Steve Pieper, Ron Kikinis, Beatriz Paniagua, Jonathan Gryak, Marcos Ioshida, Camila Massaro, Liliane Gomes, Heesoo Oh, Karine Evangelista, Cauby Maia Chaves Junior, Daniela Garib, Fábio Costa, Erika Benavides, Fabiana Soki, Jean-Christophe Fillion-Robin, Hina Joshi, Lucia Cevidanes, Juan Carlos Prieto
Published 2022-01-01
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