基本信息
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个人简介
Vaclav Kremen was born in Czech Republic in 1976. He received the M.Sc.Eng. degree in biomedical engineering and Ph.D. degree in artificial intelligence and biocybernetics from the Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic, in 2002 and 2008, respectively. He did his postdoctoral fellowship with Czech Technical University in Prague and Mayo Clinic, Rochester, MN, USA.
In 2014, he joined the Mayo Clinic. He is currently an Assistant Professor and Senior Engineer with the Mayo Systems Electrophysiology Laboratory, Department of Neurology, Mayo Clinic. Since 2006, he has been also with Czech Technical University in Prague. His main areas of research interest are signal processing and utilization of machine learning and artificial intelligence for multi-modal and multi-scale biomedical data such as intracranial electrophysiology, polysomnography, sleep medicine, etc. He has been developing research ideas in basic, clinical, and translational research for neurology and cardiology.
Dr. Kremen is a member of the Czech Society for Biomedical Engineering and Medical Informatics of Czech Medical Association JEP, International Society for Telemedicine and eHealth, International Federation for Medical and Biological Engineering, International Medical Information Association, and European Federation for Medical Informatics.
研究兴趣
论文共 146 篇作者统计合作学者相似作者
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medRxiv : the preprint server for health sciences (2024)
Lydia Wheeler,Vaclav Kremen, Cole Mersereau, Guillermo Ornelas, Taruna Yadav, Devon Cormier, Allyson Derry, Andrea Duque Lopez, Kevin McQuown,Vladimir Sladky,Christopher Benjamin,Joseph Giacino,
crossref(2024)
Dale B Bosco,Vaclav Kremen,Koichiro Haruwaka,Shunyi Zhao,Lingxiao Wang, Blake A Ebner,Jiaying Zheng,Aastha Dheer, Jadyn F Perry,Manling Xie,Aivi T Nguyen,Gregory A Worrell,
bioRxiv : the preprint server for biology (2024)
medRxiv : the preprint server for health sciences (2024)
medRxiv : the preprint server for health sciences (2024)
Journal of neural engineeringno. 3 (2023): 036034-036034
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