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Moein Enayati
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2020 – today
- 2023
- [c11]Yao Xiao, Moein Enayati, Gavin M. Schaeferle, Brendan C. Lanpher, Eric W. Klee, Che Ngufor:
Enhancing Patient Care in Rare Genetic Diseases: An HPO-based Phenotyping Pipeline. BIBM 2023: 2754-2760 - 2022
- [j5]Anup K. Mishra, Marjorie Skubic, Laurel Despins, Mihail Popescu, James Keller, Marilyn Rantz, Carmen Abbott, Moein Enayati, Shradha Shalini, Steven J. Miller:
Explainable Fall Risk Prediction in Older Adults Using Gait and Geriatric Assessments. Frontiers Digit. Health 4: 869812 (2022) - [j4]David Chen, Huzefa M. Bhopalwala, Nakeya Dewaswala, Shivaram Poigai 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): 149 (2022) - [c10]Devanshi N. Damani, Anoushka Kapoor, Priyadharshini Sivasubramaniam, Nasibeh Farahani, Moein Enayati, Jeffrey B. Geske, Michael J. Ackerman, Johan M. Bos, Kalyan Pasupathy, Philip A. Araoz, Shivaram Poigai Arunachalam, Adelaide M. Arruda-Olson:
Biventricular Involvement In Hypertrophic Cardiomyopathy: Preliminary Analysis Of Cardiac MRIs With Visual Right Ventricular Hypertrophy. ICHI 2022: 134-137 - 2021
- [c9]Moein Enayati, Nasibeh Zanjirani Farahani, Alisha P. Chaudhry, Anoushka Kapoor, Shivaram Poigai Arunachalam, Laura E. Walker, David M. Nestler, Kalyan S. Pasupathy:
Incorporating RTLS-Based Spatiotemporal Information in Studying Physical Activities of Clinical Staff*. EMBC 2021: 2386-2391 - 2020
- [j3]Giovanna Guidoboni, Lorenzo Sala, Moein Enayati, Riccardo Sacco, Marcela Szopos, James M. Keller, Mihail Popescu, Laurel Despins, Virginia H. Huxley, Marjorie Skubic:
Corrections to "Cardiovascular Function and Ballistocardiogram: A Relationship Interpreted via Mathematical Modeling" [Oct 19 2906-2917]. IEEE Trans. Biomed. Eng. 67(10): 3001 (2020) - [c8]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: 1932-1937 - [c7]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: 5718-5721 - [c6]Moein Enayati, Nasibeh Zanjirani Farahani, Marjorie Skubic:
Machine Learning Approach for Motion Artifact Detection in Ballistocardiogram Signals. PervasiveHealth 2020: 406-410
2010 – 2019
- 2019
- [j2]Bo Yu Su, Moein Enayati, K. C. Ho, Marjorie Skubic, Laurel Despins, James Keller, Mihail Popescu, Giovanna Guidoboni, Marilyn Rantz:
Monitoring the Relative Blood Pressure Using a Hydraulic Bed Sensor System. IEEE Trans. Biomed. Eng. 66(3): 740-748 (2019) - [j1]Giovanna Guidoboni, Lorenzo Sala, Moein Enayati, Riccardo Sacco, Marcela Szopos, James M. Keller, Mihail Popescu, Laurel Despins, Virginia H. Huxley, Marjorie Skubic:
Cardiovascular Function and Ballistocardiogram: A Relationship Interpreted via Mathematical Modeling. IEEE Trans. Biomed. Eng. 66(10): 2906-2917 (2019) - [c5]Ruhan Yi, Moein Enayati, James M. Keller, Mihail Popescu, Marjorie Skubic:
Non-Invasive In-Home Sleep Stage Classification Using a Ballistocardiography Bed Sensor. BHI 2019: 1-4 - 2018
- [c4]Moein Enayati, Marjorie Skubic, James M. Keller, Mihail Popescu, Nasibeh Zanjirani Farahani:
Sleep Posture Classification Using Bed Sensor Data and Neural Networks. EMBC 2018: 461-465 - 2015
- [c3]Katy Lydon, Bo Yu Su, Licet Rosales, Moein Enayati, K. C. Ho, Marilyn Rantz, Marjorie Skubic:
Robust heartbeat detection from in-home ballistocardiogram signals of older adults using a bed sensor. EMBC 2015: 7175-7179 - 2014
- [c2]Moein Enayati, Tanvi Banerjee, Mihail Popescu, Marjorie Skubic, Marilyn Rantz:
A novel web-based depth video rewind approach toward fall preventive interventions in hospitals. EMBC 2014: 4511-4514 - [c1]Tanvi Banerjee, Moein Enayati, James M. Keller, Marjorie Skubic, Mihail Popescu, Marilyn Rantz:
Monitoring patients in hospital beds using unobtrusive depth sensors. EMBC 2014: 5904-5907
Coauthor Index
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