تصفح Electrical Engineering حسب المؤلف "Mahmud, Sakib"
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Deep Learning Framework for Liver Segmentation from T1-Weighted MRI Images
Hossain, Md Sakib Abrar; Gul, Sidra; Chowdhury, Muhammad E.H.; Khan, Muhammad Salman; Sumon, Md Shaheenur Islam; Bhuiyan, Enamul Haque; Khandakar, Amith; Hossain, Maqsud; Sadique, Abdus; Al-Hashimi, Israa; Ayari, Mohamed Arselene; Mahmud, Sakib; Alqahtani, Abdulrahman... more authors ... less authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)The human liver exhibits variable characteristics and anatomical information, which is often ambiguous in radiological images. Machine learning can be of great assistance in automatically segmenting the liver in radiological ... -
Fetal ECG extraction from maternal ECG using deeply supervised LinkNet++ model
Arafat, Rahman; Mahmud, Sakib; Chowdhury, Muhammad E.H.; Yalcin, Huseyin Cagatay; Khandakar, Amith; Mutlu, Onur; Mahbub, Zaid Bin; Kamal, Reema Yousef; Pedersen, Shona... more authors ... less authors ( Elsevier , 2023 , Article)Fetal heart monitoring and early disease detection using non-invasive fetal electrocardiograms (fECG) can help substantially to reduce infant death through improved diagnosis of Coronary Heart Disease (CHD) in the fetus. ... -
NDDNet: a deep learning model for predicting neurodegenerative diseases from gait pattern
Faisal, Md Ahasan Atick; Chowdhury, Muhammad E.H.; Mahbub, Zaid Bin; Pedersen, Shona; Ahmed, Mosabber Uddin; Khandakar, Amith; Alhatou, Mohammed; Nabil, Mohammad; Ara, Iffat; Bhuiyan, Enamul Haque; Mahmud, Sakib; AbdulMoniem, Mohammed... more authors ... less authors ( Springer Nature , 2023 , Article)Neurodegenerative diseases damage neuromuscular tissues and deteriorate motor neurons which affects the motor capacity of the patient. Particularly the walking gait is greatly influenced by the deterioration process. Early ... -
A novel deep learning technique for morphology preserved fetal ECG extraction from mother ECG using 1D-CycleGAN
Promit, Basak; Nazmus Sakib, A.H.M; Chowdhury, Muhammad E.H.; Al-Emadi, Nasser; Cagatay Yalcin, Huseyin; Pedersen, Shona; Mahmud, Sakib; Kiranyaz, Serkan; Al-Maadeed, Somaya... more authors ... less authors ( Elsevier , 2024 , Article)The non-invasive fetal electrocardiogram (fECG) enables easy detection of developing heart abnormalities, leading to a significant reduction in infant mortality rate and post-natal complications. Due to the overlapping of ...