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Afrah Malik
Afrah Malik
PhD candidate, Maastricht university, The Netherlands
Verified email at maastrichtuniversity.nl
Title
Cited by
Cited by
Year
Accurate classification of heart sound signals for cardiovascular disease diagnosis by wavelet analysis and convolutional neural network: preliminary results
AEF Malik, S Barin, ME Yüksel
2020 28th Signal Processing and Communications Applications Conference (SIU …, 2020
92020
The ultrasound window into vascular ageing: a technology review by the VascAgeNet COST action
E Bianchini, A Guala, S Golemati, J Alastruey, RE Climie, K Dalakleidi, ...
Journal of ultrasound in medicine 42 (10), 2183-2213, 2023
42023
Central and local arterial stiffness in White Europeans compared to age-, sex-, and BMI-matched South Asians
KM van der Sluijs, J Thannhauser, IM Visser, PM Nabeel, KV Raj, ...
PloS one 18 (8), e0290118, 2023
32023
Preterm birth prediction by classification of spectral features of electrohysterography signals using 1D convolutional neural network: Preliminary results
DK Degbedzui, ME Yüksel, AEF Malik
2020 28th Signal Processing and Communications Applications Conference (SIU …, 2020
32020
Detectable bias between vascular ultrasound echo-tracking systems: relevance depends on application
AEF Malik, A Giudici, KWF van der Laan, J Op’t Roodt, WH Mess, ...
Journal of Clinical Medicine 12 (1), 69, 2022
22022
Single M-Line is as reliable as multiple M-line ultrasound for carotid artery screening
AEF Malik, T Delhaas, B Spronck, RMA Henry, J Joseph, CDA Stehouwer, ...
Frontiers in physiology 12, 787083, 2021
12021
Existing bias between vascular ultrasound echo-tracking systems: Switching devices warrants a comparison.
A Malik, A Giudici, K van der Laan, W Mess, T Delhaas, B Spronck, ...
Artery Research 29 (1), 2023
2023
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