Murtadha D. Hssayeni

According to our database, Murtadha D. Hssayeni authored at least 23 papers between 2016 and 2024.

Collaborative distances:

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

2024

Detection of Zero-Day Attacks on IoT.

Shay Reardon, Murtadha D. Hssayeni, Imadeldin Mahgoub

Proceedings of the International Conference on Smart Applications, 2024

2022

Multidimensional Analysis of Functional Near-Infrared Spectroscopy (fNIRS) Signal using Tucker Decomposition.

Jasmine Chan, Teresa Wilcox, Murtadha D. Hssayeni, Behnaz Ghoraani

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

ECG Fiducial Point Localization Using a Deep Learning Model.

Murtadha D. Hssayeni, Arash Andalib, Rishabh Singh, Diego Pava, Kan Li, Steven Borzak, Robert Chait, Kaustubh Kale

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Dyskinesia Estimation of Imbalanced Data Using a Deep-Learning Model.

Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Behnaz Ghoraani

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Activity Recognition in Parkinson's Patients from Motion Data Using a CNN Model Trained by Healthy Subjects.

Shelly Davidashvilly, Murtadha D. Hssayeni, Christopher Chi, Joohi Jimenez-Shahed, Behnaz Ghoraani

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

The forecast of COVID-19 spread risk at the county level.

Murtadha D. Hssayeni, Arjuna Chala, Roger Dev, Lili Xu, Jesse Shaw, Borko Furht, Behnaz Ghoraani

J. Big Data, 2021

Detection of mild cognitive impairment and Alzheimer's disease using dual-task gait assessments and machine learning.

Behnaz Ghoraani, Lillian N. Boettcher, Murtadha D. Hssayeni, Amie Rosenfeld, Magdalena I. Tolea, James E. Galvin

Biomed. Signal Process. Control., 2021

Multi-Modal Physiological Data Fusion for Affect Estimation Using Deep Learning.

Murtadha D. Hssayeni, Behnaz Ghoraani

IEEE Access, 2021

2020

Multilevel Features for Sensor-Based Assessment of Motor Fluctuation in Parkinson's Disease Subjects.

Behnaz Ghoraani, Murtadha D. Hssayeni, Michelle A. Burack, Joohi Jimenez-Shahed

IEEE J. Biomed. Health Informatics, 2020

Intracranial Hemorrhage Segmentation Using a Deep Convolutional Model.

Murtadha D. Hssayeni, Muayad Sadik Croock, Aymen Dawood Salman, Hassan Falah Al-khafaji, Zakaria A. Yahya, Behnaz Ghoraani

Data, 2020

Tensor Decomposition of Functional Near-Infrared Spectroscopy (fNIRS) Signals for Pattern Discovery of Cognitive Response in Infants.

Murtadha D. Hssayeni, Teresa Wilcox, Behnaz Ghoraani

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Dyskinesia Severity Estimation in Patients with Parkinson's Disease Using Wearable Sensors and A Deep LSTM Network.

Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Michelle A. Burack, Behnaz Ghoraani

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Dual-Task Gait Assessment and Machine Learning for Early-detection of Cognitive Decline.

Lillian N. Boettcher, Murtadha D. Hssayeni, Amie Rosenfeld, Magdalena I. Tolea, James E. Galvin, Behnaz Ghoraani

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Wearable Sensors for Estimation of Parkinsonian Tremor Severity during Free Body Movements.

Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Michelle A. Burack, Behnaz Ghoraani

Sensors, 2019

Hybrid Feature Extraction for Detection of Degree of Motor Fluctuation Severity in Parkinson's Disease Patients.

Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Behnaz Ghoraani

Entropy, 2019

Intracranial Hemorrhage Segmentation Using Deep Convolutional Model.

Murtadha D. Hssayeni, Muayad Sadik Croock, Aymen Al-Ani, Hassan Falah Al-khafaji, Zakaria A. Yahya, Behnaz Ghoraani

CoRR, 2019

Continuous Parkinsonian Tremor Estimation Using Motion Data.

Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Michelle A. Burack, Behnaz Ghoraani

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Symptom-based, Dual-channel LSTM Network for The Estimation of Unified Parkinson's Disease Rating Scale III.

Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Michelle A. Burack, Behnaz Ghoraani

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018

Wearable-based Mediation State Detection in Individuals with Parkinson's Disease.

Murtadha D. Hssayeni, Michelle A. Burack, Joohi Jimenez-Shahed, Behnaz Ghoraani

CoRR, 2018

Deep Learning for Medication Assessment of Individuals with Parkinson's Disease Using Wearable Sensors.

Murtadha D. Hssayeni, Jamie L. Adams, Behnaz Ghoraani

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Distracted Driver Detection: Deep Learning vs Handcrafted Features.

Murtadha D. Hssayeni, Sagar Saxena, Raymond W. Ptucha, Andreas E. Savakis

Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2017, Burlingame, CA, USA, January 29, 2017

Parkinson's disease medication state management using data fusion of wearable sensors.

Vignesh Ramji, Murtadha D. Hssayeni, Michelle A. Burack, Behnaz Ghoraani

Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

2016

Automatic assessment of medication states of patients with Parkinson's disease using wearable sensors.

Murtadha D. Hssayeni, Michelle A. Burack, Behnaz Ghoraani

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016