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Journal Articles
- 2024
[j5]Sahar Soltanieh
, Javad Hashemi, Ali Etemad:
In-Distribution and Out-of-Distribution Self-Supervised ECG Representation Learning for Arrhythmia Detection. IEEE J. Biomed. Health Informatics 28(2): 789-800 (2024)- 2023
- [j4]Debarshi Datta, Safiya George Dalmida, Laurie Martinez, David Newman, Javad Hashemi, Taghi M. Khoshgoftaar, Connor Shorten, Candice Sareli, Paula Eckardt:
Using machine learning to identify patient characteristics to predict mortality of in-patients with COVID-19 in South Florida. Frontiers Digit. Health 5 (2023) - 2022
- [j3]Javad Hashemi, Bhavesh Patel, Yiannis S. Chatzizisis, Ghassan S. Kassab:
Real time reduced order model for angiography fractional flow reserve. Comput. Methods Programs Biomed. 216: 106674 (2022) - 2018
- [j2]Habib Hajimolahoseini, Javad Hashemi, Saeed Gazor, Damian P. Redfearn:
Inflection point analysis: A machine learning approach for extraction of IEGM active intervals during atrial fibrillation. Artif. Intell. Medicine 85: 7-15 (2018) - [j1]Ariful I. Bhuiyan, Javad Hashemi, Nabila Shamim, Sarhan M. Musa:
Tibial eminence: a new anatomical risk factor for anterior cruciate ligament injuries. Multim. Tools Appl. 77(17): 22605-22616 (2018)
Conference and Workshop Papers
- 2024
- [c11]Mohd Ashhad, Sana Rahmani, Mohammed Fayiz, Ali Etemad, Javad Hashemi:
Uncertainty-Aware Multi-view Arrhythmia Classification from ECG. IJCNN 2024: 1-6 - 2022
- [c10]Connor Shorten, Taghi M. Khoshgoftaar, Javad Hashemi, Safiya George Dalmida, David Newman, Debarshi Datta, Laurie Martinez, Candice Sareli, Paula Eckard:
Predicting the Severity of COVID-19 Respiratory Illness with Deep Learning. FLAIRS 2022 - [c9]Connor Shorten, Erika Cardenas, Taghi M. Khoshgoftaar, Javad Hashemi, Safiya George Dalmida, David Newman, Debarshi Datta, Laurie Martinez, Candice Sareli, Paula Eckard:
Exploring Language-Interfaced Fine-Tuning for COVID-19 Patient Survival Classification. ICTAI 2022: 1449-1454 - [c8]Sahar Soltanieh, Ali Etemad, Javad Hashemi:
Analysis of Augmentations for Contrastive ECG Representation Learning. IJCNN 2022: 1-10 - 2018
- [c7]Habib Hajimolahoseini, Javad Hashemi, Damian P. Redfearn:
Ecg Delineation for Qt Interval Analysis Using an Unsupervised Learning Method. ICASSP 2018: 2541-2545 - 2017
- [c6]Javad Hashemi, Mohammad H. Shariat, Damian P. Redfearn:
Intracardiac electrogram envelope detection during atrial fibrillation using fast orthogonal search. EMBC 2017: 3162-3165 - 2016
- [c5]Divyanshu Gupta, Damian P. Redfearn, Javad Hashemi, Selim G. Akl:
A Novel Method for Automated Fractionation Detection in Ventricular Tachycardia. CinC 2016 - 2015
- [c4]Mohammad H. Shariat, Javad Hashemi, Saeed Gazor, Damian P. Redfearn:
Activation detection of intracardiac electrogram during atrial fibrillation based on the variance equality test. CCECE 2015: 387-391 - [c3]Mohammad H. Shariat, Javad Hashemi, Saeed Gazor, Damian P. Redfearn:
Localization of the ectopic spiral electrical source using intracardiac electrograms during atrial fibrillation. CCECE 2015: 392-395 - 2012
- [c2]Javad Hashemi, Evelyn Morin, Parvin Mousavi, Keyvan Hashtrudi-Zaad:
Enhanced multi-site EMG-force estimation using contact pressure. EMBC 2012: 3098-3101 - 2011
- [c1]Javad Hashemi, Evelyn Morin, Parvin Mousavi, Keyvan Hashtrudi-Zaad:
Joint angle-based EMG amplitude calibration. EMBC 2011: 4439-4442
Informal and Other Publications
- 2023
- [i2]Sahar Soltanieh, Javad Hashemi, Ali Etemad:
In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia Detection. CoRR abs/2304.06427 (2023) - 2022
- [i1]Sahar Soltanieh, Ali Etemad, Javad Hashemi:
Analysis of Augmentations for Contrastive ECG Representation Learning. CoRR abs/2206.07656 (2022)
Coauthor Index
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