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Murtadha D. Hssayeni
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2020 – today
- 2024
- [j8]Murtadha D. Hssayeni, Behnaz Ghoraani:
Deep Regression Modeling for Imbalanced and Incomplete Time-Series Data. IEEE Trans. Emerg. Top. Comput. Intell. 8(6): 3767-3778 (2024) - [c14]Shay Reardon, Murtadha D. Hssayeni, Imadeldin Mahgoub:
Detection of Zero-Day Attacks on IoT. SmartNets 2024: 1-5 - 2022
- [c13]Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Behnaz Ghoraani:
Dyskinesia Estimation of Imbalanced Data Using a Deep-Learning Model. EMBC 2022: 3195-3198 - [c12]Shelly Davidashvilly, Murtadha D. Hssayeni, Christopher Chi, Joohi Jimenez-Shahed, Behnaz Ghoraani:
Activity Recognition in Parkinson's Patients from Motion Data Using a CNN Model Trained by Healthy Subjects. EMBC 2022: 3199-3202 - [c11]Murtadha D. Hssayeni, Arash Andalib, Rishabh Singh, Diego Pava, Kan Li, Steven Borzak, Robert Chait, Kaustubh Kale:
ECG Fiducial Point Localization Using a Deep Learning Model. ICMLA 2022: 321-328 - [c10]Jasmine Y. Chan, Teresa Wilcox, Murtadha D. Hssayeni, Behnaz Ghoraani:
Multidimensional Analysis of Functional Near-Infrared Spectroscopy (fNIRS) Signal using Tucker Decomposition. SMC 2022: 1317-1321 - 2021
- [j7]Murtadha D. Hssayeni, Behnaz Ghoraani:
Multi-Modal Physiological Data Fusion for Affect Estimation Using Deep Learning. IEEE Access 9: 21642-21652 (2021) - [j6]Behnaz Ghoraani, Lillian N. Boettcher, Murtadha D. Hssayeni, Amie Rosenfeld, Magdalena I. Tolea, James E. Galvin:
Detection of mild cognitive impairment and Alzheimer's disease using dual-task gait assessments and machine learning. Biomed. Signal Process. Control. 64: 102249 (2021) - [j5]Murtadha D. Hssayeni, Arjuna Chala, Roger Dev, Lili Xu, Jesse Shaw, Borko Furht, Behnaz Ghoraani:
The forecast of COVID-19 spread risk at the county level. J. Big Data 8(1): 99 (2021) - 2020
- [j4]Murtadha D. Hssayeni, Muayad Sadik Croock, Aymen Dawood Salman, Hassan Falah Al-khafaji, Zakaria A. Yahya, Behnaz Ghoraani:
Intracranial Hemorrhage Segmentation Using a Deep Convolutional Model. Data 5(1): 14 (2020) - [j3]Behnaz Ghoraani, Murtadha D. Hssayeni, Michelle A. Burack, Joohi Jimenez-Shahed:
Multilevel Features for Sensor-Based Assessment of Motor Fluctuation in Parkinson's Disease Subjects. IEEE J. Biomed. Health Informatics 24(5): 1284-1295 (2020) - [c9]Murtadha D. Hssayeni, Teresa Wilcox, Behnaz Ghoraani:
Tensor Decomposition of Functional Near-Infrared Spectroscopy (fNIRS) Signals for Pattern Discovery of Cognitive Response in Infants. EMBC 2020: 394-397 - [c8]Lillian N. Boettcher, Murtadha D. Hssayeni, Amie Rosenfeld, Magdalena I. Tolea, James E. Galvin, Behnaz Ghoraani:
Dual-Task Gait Assessment and Machine Learning for Early-detection of Cognitive Decline. EMBC 2020: 3204-3207 - [c7]Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Michelle A. Burack, Behnaz Ghoraani:
Dyskinesia Severity Estimation in Patients with Parkinson's Disease Using Wearable Sensors and A Deep LSTM Network. EMBC 2020: 6001-6004
2010 – 2019
- 2019
- [j2]Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Behnaz Ghoraani:
Hybrid Feature Extraction for Detection of Degree of Motor Fluctuation Severity in Parkinson's Disease Patients. Entropy 21(2): 137 (2019) - [j1]Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Michelle A. Burack, Behnaz Ghoraani:
Wearable Sensors for Estimation of Parkinsonian Tremor Severity during Free Body Movements. Sensors 19(19): 4215 (2019) - [c6]Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Michelle A. Burack, Behnaz Ghoraani:
Symptom-based, Dual-channel LSTM Network for The Estimation of Unified Parkinson's Disease Rating Scale III. BHI 2019: 1-4 - [c5]Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Michelle A. Burack, Behnaz Ghoraani:
Continuous Parkinsonian Tremor Estimation Using Motion Data. GlobalSIP 2019: 1-5 - [i2]Murtadha D. Hssayeni, Muayad Sadik Croock, Aymen Al-Ani, Hassan Falah Al-khafaji, Zakaria A. Yahya, Behnaz Ghoraani:
Intracranial Hemorrhage Segmentation Using Deep Convolutional Model. CoRR abs/1910.08643 (2019) - 2018
- [c4]Murtadha D. Hssayeni, Jamie L. Adams, Behnaz Ghoraani:
Deep Learning for Medication Assessment of Individuals with Parkinson's Disease Using Wearable Sensors. EMBC 2018: 1-4 - [i1]Murtadha D. Hssayeni, Michelle A. Burack, Joohi Jimenez-Shahed, Behnaz Ghoraani:
Wearable-based Mediation State Detection in Individuals with Parkinson's Disease. CoRR abs/1809.06973 (2018) - 2017
- [c3]Vignesh Ramji, Murtadha D. Hssayeni, Michelle A. Burack, Behnaz Ghoraani:
Parkinson's disease medication state management using data fusion of wearable sensors. BHI 2017: 193-196 - [c2]Murtadha D. Hssayeni, Sagar Saxena, Raymond W. Ptucha, Andreas E. Savakis:
Distracted Driver Detection: Deep Learning vs Handcrafted Features. IMAWM 2017: 20-26 - 2016
- [c1]Murtadha D. Hssayeni, Michelle A. Burack, Behnaz Ghoraani:
Automatic assessment of medication states of patients with Parkinson's disease using wearable sensors. EMBC 2016: 6082-6085
Coauthor Index
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