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Brain Sciences
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August 6, 2021
Quantitative Evaluation of Task-Induced Neurological Outcome after Stroke
Iqram Hussain, Se-Jin Park
Sensors (Basel, Switzerland)
|
March 13, 2024
Interpreting Stroke-Impaired Electromyography Patterns through Explainable Artificial Intelligence
Iqram Hussain, Rafsan Jany
Sensors (Basel, Switzerland)
|
August 28, 2021
Prediction of Myoelectric Biomarkers in Post-Stroke Gait
Iqram Hussain, Se-Jin Park
Sensors (Basel, Switzerland)
|
November 13, 2021
Driving-Induced Neurological Biomarkers in an Advanced Driver-Assistance System
Iqram Hussain, Seo Young, Se-Jin Park
Bioengineering (Basel, Switzerland)
|
February 27, 2026
Domain-Aware Interpretable Machine Learning Model for Predicting Postoperative Hospital Length of Stay from Perioperative Data: A Retrospective Observational Cohort Study
Iqram Hussain, Joseph R Scarpa, Richard Boyer
Frontiers in Digital Health
|
July 25, 2025
Next generation performance status: digital health technologies across the lung cancer continuum
Julia Scarpa, Iqram Hussain, Alex Cheng, et al.
Computer Methods and Programs in Biomedicine
|
July 27, 2025
Interpretable framework for predicting preoperative cardiorespiratory fitness using wearable data
Iqram Hussain, Julianna Zeepvat, M Cary Reid, et al.
Sensors (Basel, Switzerland)
|
December 23, 2022
Explainable Artificial Intelligence Model for Stroke Prediction Using EEG Signal
Mohammed Saidul Islam, Iqram Hussain, Md Mezbaur Rahman, et al.
Sensors (Basel, Switzerland)
|
April 3, 2021
Quantifying Physiological Biomarkers of a Microwave Brain Stimulation Device
Iqram Hussain, Seo Young, Chang Ho Kim, et al.
Computer Methods and Programs in Biomedicine
|
August 22, 2024
An interpretable tinnitus prediction framework using gap-prepulse inhibition in auditory late response and electroencephalogram
Iqram Hussain, Chiheon Kwon, Tae-Soo Noh, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 15) with videos related to
Sort By:
Page
of 2
Brain Sciences
|
August 6, 2021
Quantitative Evaluation of Task-Induced Neurological Outcome after Stroke
Iqram Hussain, Se-Jin Park
Sensors (Basel, Switzerland)
|
March 13, 2024
Interpreting Stroke-Impaired Electromyography Patterns through Explainable Artificial Intelligence
Iqram Hussain, Rafsan Jany
Sensors (Basel, Switzerland)
|
August 28, 2021
Prediction of Myoelectric Biomarkers in Post-Stroke Gait
Iqram Hussain, Se-Jin Park
Sensors (Basel, Switzerland)
|
November 13, 2021
Driving-Induced Neurological Biomarkers in an Advanced Driver-Assistance System
Iqram Hussain, Seo Young, Se-Jin Park
Bioengineering (Basel, Switzerland)
|
February 27, 2026
Domain-Aware Interpretable Machine Learning Model for Predicting Postoperative Hospital Length of Stay from Perioperative Data: A Retrospective Observational Cohort Study
Iqram Hussain, Joseph R Scarpa, Richard Boyer
Frontiers in Digital Health
|
July 25, 2025
Next generation performance status: digital health technologies across the lung cancer continuum
Julia Scarpa, Iqram Hussain, Alex Cheng, et al.
Computer Methods and Programs in Biomedicine
|
July 27, 2025
Interpretable framework for predicting preoperative cardiorespiratory fitness using wearable data
Iqram Hussain, Julianna Zeepvat, M Cary Reid, et al.
Sensors (Basel, Switzerland)
|
December 23, 2022
Explainable Artificial Intelligence Model for Stroke Prediction Using EEG Signal
Mohammed Saidul Islam, Iqram Hussain, Md Mezbaur Rahman, et al.
Sensors (Basel, Switzerland)
|
April 3, 2021
Quantifying Physiological Biomarkers of a Microwave Brain Stimulation Device
Iqram Hussain, Seo Young, Chang Ho Kim, et al.
Computer Methods and Programs in Biomedicine
|
August 22, 2024
An interpretable tinnitus prediction framework using gap-prepulse inhibition in auditory late response and electroencephalogram
Iqram Hussain, Chiheon Kwon, Tae-Soo Noh, et al.
Page
of 2