Nasibeh Zanjirani Farahani

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 6

Top Topics

Diagnostic Tests

Cardiac Magnetic Resonance

Machine Learning

Image Segmentation

Top Venues

PervasiveHealth

Publications

David Chen, Huzefa M. Bhopalwala, Nakeya Dewaswala, Shivaram P. Arunachalam, Moein Enayati, Nasibeh Zanjirani Farahani, Kalyan Pasupathy, Sravani Lokineni, J. Martijn Bos, Peter A. Noseworthy, Reza Arsanjani, Bradley J. Erickson, Jeffrey B. Geske, Michael J. Ackerman, Philip A. Araoz, Adelaide M. Arruda-Olson
Deep Neural Network for Cardiac Magnetic Resonance Image Segmentation. J. Imaging 8 (5) (2022)
Moein Enayati, Nasibeh Zanjirani Farahani, Alisha P. Chaudhry, Anoushka Kapoor, Shivaram Poigai Arunachalam, Laura E. Walker, David M. Nestler, Kalyan S. Pasupathy
. EMBC (2021)
Moein Enayati, Heather A. Heaton, Rona Wang, Gomathi Marisamy, Nasibeh Zanjirani Farahani, Thomas R. Hellmich, Kalyan S. Pasupathy, Brian Kim, David M. Nestler
Trauma Activation Responsiveness: An RFID-enabled trauma flowsheet. EMBC (2020)
Nasibeh Zanjirani Farahani, Divaakar Siva Baala Sundaram, Moein Enayati, Shivaram Poigai Arunachalam, Kalyan S. Pasupathy, Adelaide M. Arruda-Olson
Explanatory Analysis of a Machine Learning Model to Identify Hypertrophic Cardiomyopathy Patients from EHR Using Diagnostic Codes. BIBM (2020)
Moein Enayati, Nasibeh Zanjirani Farahani, Marjorie Skubic
Machine Learning Approach for Motion Artifact Detection in Ballistocardiogram Signals. PervasiveHealth (2020)
Moein Enayati, Marjorie Skubic, James M. Keller, Mihail Popescu, Nasibeh Zanjirani Farahani
Sleep Posture Classification Using Bed Sensor Data and Neural Networks. EMBC (2018)