Mahdieh Soleymani Baghshah
Mahdieh Soleymani Baghshah received her BS, MS, and PhD degrees from the Department of Computer Engineering, Sharif University of Technology, Tehran, Iran, in 2003, 2005, and 2010, respectively. She joined Sharif University of Technology at 2012 and works as an assistant professor in the Computer Engineering Department since then. She is the Director of Machine Learning Laboratory (MLL) in this department. Her research interests include machine learning, deep learning, and probabilistic models.
JTEHM, Articles, Published ArticlesDeep Learning Based Proarrhythmia Analysis Using Field Potentials Recorded from Human Pluripotent Stem Cells Derived Cardiomyocytes
Zeinab Golgooni, Sara Mirsadeghi, Mahdieh Soleymani Baghshah, Pedram Ataee, Hossein Baharvand, Sara Pahlavan, Hamid R. Rabiee
Abstract: An early characterization of drug-induced cardiotoxicity may be possible by combining comprehensive in vitro proarrhythmia assay and deep learning techniques. We aimed to develop a method to automatically detect irregular beating rhythm of field potentials recorded from human pluripotent stem... Read more
Posted on 10 APR 2019