Članki z zahtevami za javni dostop - Ahsan KhandokerVeč o tem
Ni na voljo nikjer: 4
Model-based estimation of aortic and mitral valves opening and closing timings in developing human fetuses
F Marzbanrad, Y Kimura, K Funamoto, S Oshio, M Endo, N Sato, ...
IEEE Journal of Biomedical and Health Informatics 20 (1), 240-248, 2014
Zahteve: Australian Research Council
The role of artificial intelligence in hypertensive disorders of pregnancy: towards personalized healthcare
M Alkhodari, Z Xiong, AH Khandoker, LJ Hadjileontiadis, P Leeson, ...
Expert Review of Cardiovascular Therapy 21 (7), 531-543, 2023
Zahteve: British Heart Foundation, UK Medical Research Council, National Institute …
One-dimensional W-NETR for non-invasive single channel fetal ECG extraction
M Almadani, L Hadjileontiadis, A Khandoker
IEEE Journal of Biomedical and Health Informatics 27 (7), 3198-3209, 2023
Zahteve: Bill & Melinda Gates Foundation, Australian Research Council
Hyperscore: A unified measure to model hypertension progression using multi-modality measurements and semi-supervised learning
M Alkhodari, W Lapidaire, Z Xiong, T Kart, Y Iturria-Medina, ...
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023
Zahteve: British Heart Foundation, UK Medical Research Council, National Institute …
Na voljo nekje: 25
Automated estimation of fetal cardiac timing events from Doppler ultrasound signal using hybrid models
F Marzbanrad, Y Kimura, K Funamoto, R Sugibayashi, M Endo, T Ito, ...
IEEE journal of biomedical and health informatics 18 (4), 1169-1177, 2013
Zahteve: Australian Research Council
Predicting hypertensive patients with higher risk of developing vascular events using heart rate variability and machine learning
M Alkhodari, DK Islayem, FA Alskafi, AH Khandoker
IEEE Access 8, 192727-192739, 2020
Zahteve: Bill & Melinda Gates Foundation, Australian Research Council
Quantifying the interactions between maternal and fetal heart rates by transfer entropy
F Marzbanrad, Y Kimura, M Palaniswami, AH Khandoker
PloS one 10 (12), e0145672, 2015
Zahteve: Australian Research Council
Lightweight shufflenet based cnn for arrhythmia classification
H Tesfai, H Saleh, M Al-Qutayri, MB Mohammad, T Tekeste, A Khandoker, ...
IEEE Access 10, 111842-111854, 2022
Zahteve: Bill & Melinda Gates Foundation, Australian Research Council
Screening cardiovascular autonomic neuropathy in diabetic patients with microvascular complications using machine learning: a 24-hour heart rate variability study
M Alkhodari, M Rashid, MA Mukit, KI Ahmed, R Mostafa, S Parveen, ...
IEEE Access 9, 119171-119187, 2021
Zahteve: Bill & Melinda Gates Foundation, Australian Research Council
Advanced Poincaré plot analysis differentiates between hypertensive pregnancy disorders
A Seeck, M Baumert, C Fischer, A Khandoker, R Faber, A Voss
Physiological measurement 32 (10), 1611, 2011
Zahteve: German Research Foundation
Estimating gestational age from maternal-fetal heart rate coupling parameters
M Wahbah, R Al Sakaji, K Funamoto, A Krishnan, Y Kimura, ...
IEEE Access 9, 65369-65379, 2021
Zahteve: Bill & Melinda Gates Foundation, Australian Research Council
Assessment of fetal development using cardiac valve intervals
F Marzbanrad, AH Khandoker, Y Kimura, M Palaniswami, GD Clifford
Frontiers in Physiology 8, 313, 2017
Zahteve: US National Institutes of Health, Australian Research Council
Privacy aware affective state recognition from visual data
MS Zitouni, P Lee, U Lee, LJ Hadjileontiadis, A Khandoker
IEEE Access 10, 40620-40628, 2022
Zahteve: Bill & Melinda Gates Foundation, Australian Research Council
Analysis of fetal heart rate asymmetry before and after 35 weeks of gestation
C Karmakar, Y Kimura, M Palaniswami, A Khandoker
Biomedical Signal Processing and Control 21, 43-48, 2015
Zahteve: Australian Research Council
Novel speech-based emotion climate recognition in peers’ conversations incorporating affect dynamics and temporal convolutional neural networks
G Alhussein, M Alkhodari, AH Khandoker, LJ Hadjileontiadis
IEEE Access, 2025
Zahteve: Bill & Melinda Gates Foundation
Explainable computer-aided detection of obstructive sleep apnea and depression
MM Moussa, Y Alzaabi, AH Khandoker
IEEE Access 10, 110916-110933, 2022
Zahteve: Bill & Melinda Gates Foundation, Australian Research Council
Classification of Doppler ultrasound signal quality for the application of fetal valve motion identification
F Marzbanrad, Y Kimura, M Endo, M Palaniswami, AH Khandoker
2015 Computing in Cardiology Conference (CinC), 365-368, 2015
Zahteve: Australian Research Council
Transfer entropy analysis of maternal and fetal heart rate coupling
F Marzbanrad, Y Kimura, M Endo, M Palaniswami, AH Khandoker
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
Zahteve: Australian Research Council
Heart rate asymmetry and emotional response to robot-assist task challenges in post-stroke patients
HF Jelinek, KG August, MH Imam, AH Khandoker, A Koenig, R Riener
2011 Computing in Cardiology, 521-524, 2011
Zahteve: Swiss National Science Foundation
Automated Identification of fetal cardiac valve timings
F Marzbanrad, AH Khandoker, K Funamoto, R Sugibayashi, M Endo, ...
2013 35th Annual International Conference of the IEEE Engineering in …, 2013
Zahteve: Australian Research Council
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