Publications

  1. Lee Sadie, Resnick A, Zanjirani Farahani N. Formalizing Ethical Design in Prostate Cancer Image Analysis: A Preliminary Case Study IEEE MIT Undergraduate Research Technology Conference (URTC). 2024.
  2. Zanjirani Nasibeh, Alzate Mateo, Enayati Moein, Gaviria-Valencia Simon, Pumarejo Andredi, Karlinski Vanessa, Scott Christopher, Bos Johan, Pasupathy Kalyan, Pellikka Patricia, Geske Jeffrey, Oh Jae, Eidem Benjamin, Kane Garvan, Ackerman Michael, Arruda-Olson Adelaide. Identification of Hypertrophic Cardiomyopathy in Children by Machine Learning Applied to Echocardiography. JASE.. 2024.
  3. Zanjirani N, Enayati M, Pumarejo A, Aguirre MA, Scott C, Siontis K, Bos M, Geske JB, Ackerman MJ, Arruda-Olson AM, Geske J. Arrhythmic Sudden Death Survival Prediction Model For Hypertrophic Cardiomyopathy Patients: An Interpretable Machine Learning Analysis. Proceedings of the 2023 Design of Medical Devices Conference. 2023; DMD2023-2989, V001T01A004.
  4. Zanjirani Farahani N, Noble J, McGarvey R, Enayati M. An Advanced Intermodal Service Network Model for A Practical Transition to Synchromodal Transport in the US Freight System: A Case Study Multimodal Transportation. 2023.
  5. Chen D, Bhopalwala H, Dewaswala N, Arunachalam SP, Enayati M, Farahani NZ, Pasupathy K, Lokineni S, Bos JM, Noseworthy PA, Arsanjani R, Erickson BJ, Geske JB, Ackerman MJ, Araoz PA, Arruda-Olson AM. Deep Neural Network for Cardiac Magnetic Resonance Image Segmentation. J Imaging. 2022 May 23; 8 (5)
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  6. Enayati M, Zanjirani N, Scott C, Bos JM, Yao X, Ngufor C, Ackerman MJ, Arruda-Olson A. Unsupervised Clustering of Sparse Echo Data to Identify Patients for Implantation of Cardioverter-Defibrillator Proceedings of the 2022 Design of Medical Devices Conference, DMD 2022 Article V001T01A008 (Proceedings of the 2022 Design of Medical Devices Conference, DMD 2022). American Society of Mechanical Engineers. https://doi.org/10.1115/DMD2022-1074. 2022.
  7. Enayati M, Farahani NZ, Chaudhry AP, Kapoor A, Arunachalam S, Walker LE, Nestler D, Pasupathy KS. Incorporating RTLS-Based Spatiotemporal Information in Studying Physical Activities of Clinical Staff(). Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov; 2021:2386-2391
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  8. Siontis KC, Liu K, Bos JM, Attia ZI, Cohen-Shelly M, Arruda-Olson AM, Zanjirani Farahani N, Friedman PA, Noseworthy PA, Ackerman MJ. Detection of hypertrophic cardiomyopathy by an artificial intelligence electrocardiogram in children and adolescents. Int J Cardiol. 2021 Oct 1; 340:42-47 Epub 2021 Aug 19
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  9. Kapoor A, Enayati M, Chaudhry A, Zanjirani N, Poigai S, Nestler DM, Pasupathy KS. Estimating Physical Work-Load on ED Clinicians and Staff Using Real-Time Location Systems IEEE Journal of Radio Frequency Identification. 2021; 5(3):331-334.
  10. Enayati M, Zanjirani N, Scott C, Bos J, Yao X, Ngufor C, Arruda-Olson A. Deep Unsupervised Clustering of Sparse Echo Data to Identify Patients for Implantation of Cardioverter-Defibrillator 2021 Design of Medical Devices Conference.. 2021.
  11. Zanjirani Farahani N, Enayati MSundaram DSB , Damani DN, Kaggal VC, Zacher AL, Geske JB, Kane G, Arunachalam SP, Pasupathy KS, Arruda-Olson A. Application of Machine Learning For Detection of Hypertrophic Cardiomyopathy Patients From Echocardiogram Measurements Proceedings of the Design of Medical Devices Conference. 2021.
  12. Sundaram DSB, Arunachalam SP, Damani DN, Farahani NZ, Enayati M, Pasupathy KS, Arruda-Olson AM. NATURAL LANGUAGE PROCESSING BASED MACHINE LEARNING MODEL USING CARDIAC MRI REPORTS TO IDENTIFY HYPERTROPHIC CARDIOMYOPATHY PATIENTS. Proc Des Med Devices Conf. 2021 Apr; 2021 Epub 2021 May 11
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  13. Farahani NZ, Arunachalam SP, Sundaram DSB, Pasupathy K, Enayati M, Arruda-Olson AM. Explanatory Analysis of a Machine Learning Model to Identify Hypertrophic Cardiomyopathy Patients from EHR Using Diagnostic Codes. Proceedings (IEEE Int Conf Bioinformatics Biomed). 2020 Dec; 2020:1932-1937 Epub 2021 Jan 13
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  14. Enayati M, Zanjirani, Skubic M. Machine Learning Approach for Motion Artifact Detection in Ballistocardiogram Signals EAI PervasiveHealth 2020. 2020.
  15. Enayati M, Zanjirani Farahani N, Nestler D, Heaton H, Pasupathy K. Can Real-Time Location System Replace Current Standard for Capture of Length of Stay? 2020 Design of Medical Devices Conference. 2020.
  16. Enayati M, Heaton H, Wang R, Marisamy G, Farahani NZ, Hellmich T, Pasupathy K, Kim B, Nestler D. Trauma Activation Responsiveness: An RFID-enabled trauma flowsheet. Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul; 2020:5718-5721.
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  17. Enayati Moein, Zanjirani Farahani Nasibeh, Arunachalam SP, Heaton H, Nestler David, Pasupathy K. Emergency Department Provider Utilization. A New Measure For Quality of Care Biomedical Sciences Instrumentation. 2020.
  18. Enayati M, Farahani NZ, Arunachalam SP, Nestler D, Heaton H, Pasupathy K. Care-Provider Utilization in Emergency Departments; is it a good indicator of safety? 57th annual Rocky Mountain Bioengineering Symposium, Laramie, WY, 2020.. 2020.
  19. Enayati M, Skubic M, Zanjirani N. Ballistocardiographic estimation of cardiac ejection curve for heartbeat detection the IEEE International Conference on Biomedical and Health Informatics. 2019.
  20. Enayati M, Skubic M, Keller JM, Popescu M, Farahani NZ. Sleep Posture Classification Using Bed Sensor Data and Neural Networks. Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul; 2018:461-465.
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  21. Zanjirani N, Enayati M. A decision support tool for energy efficient synchromodal supply chains Journal of Cleaner Production. 2018.