Author

Zeinab Golgooni

Sharif University of Technology

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Hamid Reza RabieeiD· 1 shared Hossein BaharvandiD· 1 shared Mahdieh Soleymani BaghshahiD· 1 shared Pedram AtaeeiD· 1 shared Sara MirsadeghiiD· 1 shared Sara PahlavaniD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Hamid Reza RabieeORCID

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Author profile →

1 paper

Recent·Most cited

Deep 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 Reza Rabiee

This study develops a CNN-RNN deep learning method to automatically detect irregular rhythms and abnormal waveforms in field potentials from human iPSC-derived cardiomyocytes.

IEEE Journal of Translational Engineering in Health and Medicine · Jan 1, 2019Peer-reviewedBioinformatics