Javad Hashemi

According to our database, Javad Hashemi authored at least 16 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

In-Distribution and Out-of-Distribution Self-Supervised ECG Representation Learning for Arrhythmia Detection.

Sahar Soltanieh, Javad Hashemi, Ali Etemad

IEEE J. Biomed. Health Informatics, February, 2024

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG.

Mohd Ashhad, Sana Rahmani, Mohammed Fayiz, Ali Etemad, Javad Hashemi

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Using machine learning to identify patient characteristics to predict mortality of in-patients with COVID-19 in South Florida.

Debarshi Datta, Safiya George Dalmida, Laurie Martinez, David Newman, Javad Hashemi, Taghi M. Khoshgoftaar, Connor Shorten, Candice Sareli, Paula Eckardt

Frontiers Digit. Health, March, 2023

2022

Real time reduced order model for angiography fractional flow reserve.

Javad Hashemi, Bhavesh Patel, Yiannis S. Chatzizisis, Ghassan S. Kassab

Comput. Methods Programs Biomed., 2022

Analysis of Augmentations for Contrastive ECG Representation Learning.

Sahar Soltanieh, Ali Etemad, Javad Hashemi

Proceedings of the International Joint Conference on Neural Networks, 2022

Exploring Language-Interfaced Fine-Tuning for COVID-19 Patient Survival Classification.

Connor Shorten, Erika Cardenas, Taghi M. Khoshgoftaar, Javad Hashemi, Safiya George Dalmida, David Newman, Debarshi Datta, Laurie Martinez, Candice Sareli, Paula Eckard

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Predicting the Severity of COVID-19 Respiratory Illness with Deep Learning.

Connor Shorten, Taghi M. Khoshgoftaar, Javad Hashemi, Safiya George Dalmida, David Newman, Debarshi Datta, Laurie Martinez, Candice Sareli, Paula Eckard

Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

2018

Tibial eminence: a new anatomical risk factor for anterior cruciate ligament injuries.

Ariful I. Bhuiyan, Javad Hashemi, Nabila Shamim, Sarhan M. Musa

Multim. Tools Appl., 2018

Inflection point analysis: A machine learning approach for extraction of IEGM active intervals during atrial fibrillation.

Habib Hajimolahoseini, Javad Hashemi, Saeed Gazor, Damian P. Redfearn

Artif. Intell. Medicine, 2018

Ecg Delineation for Qt Interval Analysis Using an Unsupervised Learning Method.

Habib Hajimolahoseini, Javad Hashemi, Damian P. Redfearn

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Intracardiac electrogram envelope detection during atrial fibrillation using fast orthogonal search.

Javad Hashemi, Mohammad H. Shariat, Damian P. Redfearn

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016

A Novel Method for Automated Fractionation Detection in Ventricular Tachycardia.

Divyanshu Gupta, Damian P. Redfearn, Javad Hashemi, Selim G. Akl

Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015

Localization of the ectopic spiral electrical source using intracardiac electrograms during atrial fibrillation.

Mohammad H. Shariat, Javad Hashemi, Saeed Gazor, Damian P. Redfearn

Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

Activation detection of intracardiac electrogram during atrial fibrillation based on the variance equality test.

Mohammad H. Shariat, Javad Hashemi, Saeed Gazor, Damian P. Redfearn

Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

2012

Enhanced multi-site EMG-force estimation using contact pressure.

Javad Hashemi, Evelyn Morin, Parvin Mousavi, Keyvan Hashtrudi-Zaad

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

Joint angle-based EMG amplitude calibration.

Javad Hashemi, Evelyn Morin, Parvin Mousavi, Keyvan Hashtrudi-Zaad

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011