Zeinab Golgooni

Zeinab Golgooni recieved her BS and MS in information technology engineering from Sharif Univ. of Technology, Tehran, Iran, in 2015 and 2017 respectively. Since 2018, she has been a technical consultant at center of strategic planning and resource development at Sharif Univ. of Technology. Her current research interests include using machine learning and deep learning approaches to solve problems in health care and complex networks.

Associated articles

JTEHM, Articles, Published Articles
Deep Learning Based Proarrhythmia Analysis Using Field Potentials Recorded from Human Pluripotent Stem Cells Derived Cardiomyocytes
       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