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Mohanad Alkhodari

Showing results (21-30 of 33) with videos related to

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Frontiers in Physiology|December 8, 2022
Similarities between maternal and fetal RR interval tachograms and their association with fetal developmentNamareq Widatalla, Ahsan Khandoker, Mohanad Alkhodari, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Emotional Climate Recognition in Conversations using Peers' Speech-based Bispectral Features and Affect Dynamics<sup></sup>Ghada Alhussein, Mohanad Alkhodari, Charalampos Lamprou, et al.
Journal of Clinical Medicine|February 25, 2022
Machine Learning for Screening Microvascular Complications in Type 2 Diabetic Patients Using Demographic, Clinical, and Laboratory ProfilesMamunur Rashid, Mohanad Alkhodari, Abdul Mukit, et al.
Scientific Reports|November 13, 2023
Prediction of fetal RR intervals from maternal factors using machine learning modelsNamareq Widatalla, Mohanad Alkhodari, Kunihiro Koide, et al.
Frontiers in Cardiovascular Medicine|August 15, 2022
Deep learning identifies cardiac coupling between mother and fetus during gestationMohanad Alkhodari, Namareq Widatalla, Maisam Wahbah, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Recognition of Pediatric Congenital Heart Diseases by Using Phonocardiogram Signals and Transformer-Based Neural NetworksMd Hassanuzzaman, Nurul Akhtar Hasan, Mohammad Abdullah Al Mamun, et al.
European Journal of Preventive Cardiology|August 22, 2023
Temporal patterns of pre- and post-natal target organ damage associated with hypertensive pregnancy: a systematic reviewHannah Rebecca Cutler, Logan Barr, Prenali Dwisthi Sattwika, et al.
Frontiers in Cardiovascular Medicine|December 9, 2021
Deep Learning Predicts Heart Failure With Preserved, Mid-Range, and Reduced Left Ventricular Ejection Fraction From Patient Clinical ProfilesMohanad Alkhodari, Herbert F Jelinek, Angelos Karlas, et al.
Journal of the American Heart Association|October 25, 2024
Multi-Organ Phenotypes of Offspring Born Following Hypertensive Disorders of Pregnancy: A Systematic ReviewPrenali Dwisthi Sattwika, Art Schuermans, Hannah Rebecca Cutler, et al.
Computer Methods and Programs in Biomedicine|March 14, 2024
Circadian assessment of heart failure using explainable deep learning and novel multi-parameter polar imagesMohanad Alkhodari, Ahsan H Khandoker, Herbert F Jelinek, et al.
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Showing results (21-30 of 33) with videos related to

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Pageof 4
Frontiers in Physiology|December 8, 2022
Similarities between maternal and fetal RR interval tachograms and their association with fetal developmentNamareq Widatalla, Ahsan Khandoker, Mohanad Alkhodari, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Emotional Climate Recognition in Conversations using Peers' Speech-based Bispectral Features and Affect Dynamics<sup></sup>Ghada Alhussein, Mohanad Alkhodari, Charalampos Lamprou, et al.
Journal of Clinical Medicine|February 25, 2022
Machine Learning for Screening Microvascular Complications in Type 2 Diabetic Patients Using Demographic, Clinical, and Laboratory ProfilesMamunur Rashid, Mohanad Alkhodari, Abdul Mukit, et al.
Scientific Reports|November 13, 2023
Prediction of fetal RR intervals from maternal factors using machine learning modelsNamareq Widatalla, Mohanad Alkhodari, Kunihiro Koide, et al.
Frontiers in Cardiovascular Medicine|August 15, 2022
Deep learning identifies cardiac coupling between mother and fetus during gestationMohanad Alkhodari, Namareq Widatalla, Maisam Wahbah, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Recognition of Pediatric Congenital Heart Diseases by Using Phonocardiogram Signals and Transformer-Based Neural NetworksMd Hassanuzzaman, Nurul Akhtar Hasan, Mohammad Abdullah Al Mamun, et al.
European Journal of Preventive Cardiology|August 22, 2023
Temporal patterns of pre- and post-natal target organ damage associated with hypertensive pregnancy: a systematic reviewHannah Rebecca Cutler, Logan Barr, Prenali Dwisthi Sattwika, et al.
Frontiers in Cardiovascular Medicine|December 9, 2021
Deep Learning Predicts Heart Failure With Preserved, Mid-Range, and Reduced Left Ventricular Ejection Fraction From Patient Clinical ProfilesMohanad Alkhodari, Herbert F Jelinek, Angelos Karlas, et al.
Journal of the American Heart Association|October 25, 2024
Multi-Organ Phenotypes of Offspring Born Following Hypertensive Disorders of Pregnancy: A Systematic ReviewPrenali Dwisthi Sattwika, Art Schuermans, Hannah Rebecca Cutler, et al.
Computer Methods and Programs in Biomedicine|March 14, 2024
Circadian assessment of heart failure using explainable deep learning and novel multi-parameter polar imagesMohanad Alkhodari, Ahsan H Khandoker, Herbert F Jelinek, et al.
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