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Sakib Mahmud
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2020 – today
- 2025
- [j25]Faizul Rakib Sayem, Mosabber Uddin Ahmed, Saadia Binte Alam, Sakib Mahmud, Md. Mamun Sheikh, Abdulrahman Alqahtani, Md. Ahasan Atick Faisal, Muhammad E. H. Chowdhury:
A novel 1D generative adversarial network-based framework for atrial fibrillation detection using restored wrist photoplethysmography signals. Biomed. Signal Process. Control. 101: 107233 (2025) - 2024
- [j24]Malisha Islam Tapotee, Purnata Saha, Sakib Mahmud, Abdulrahman Alqahtani, Muhammad E. H. Chowdhury:
M2ECG: Wearable Mechanocardiograms to Electrocardiogram Estimation Using Deep Learning. IEEE Access 12: 12963-12975 (2024) - [j23]Shahd Sameer Mohammed Gaben, Nada Abughanam, Nabil Ibtehaz, Sakib Mahmud, Ghada Al Noaimi, Abdulrahman Alqahtani, Amith Khandakar, Muhammad E. H. Chowdhury:
ExoventQ: A Novel Low-Cost Portable Negative Pressure Ventilator Design and Implementation. IEEE Access 12: 61828-61847 (2024) - [j22]Md Nazmul Islam Shuzan, Moajjem Hossain Chowdhury, Muhammad E. H. Chowdhury, Khalid Abualsaud, Elias Yaacoub, Md. Ahasan Atick Faisal, Mazun Alshahwani, Noora Al Bordeni, Fatima Al-Kaabi, Shada Al-Mohannadi, Sakib Mahmud, Nizar Zorba:
QU-GM: An IoT Based Glucose Monitoring System From Photoplethysmography, Blood Pressure, and Demographic Data Using Machine Learning. IEEE Access 12: 77774-77790 (2024) - [j21]Moajjem Hossain Chowdhury, Muhammad E. H. Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md. Ali, Seyed Mehdi Rakhtala, M. Murugappan, Sakib Mahmud, Md Nazmul Islam Shuzan, Ahmad Ashrif A. Bakar, Mohd Ibrahim Bin Shapiai, Muhammad Salman Khan, Amith Khandakar:
LGI-rPPG-Net: A shallow encoder-decoder model for rPPG signal estimation from facial video streams. Biomed. Signal Process. Control. 89: 105687 (2024) - [j20]Sakib Mahmud, Muhammad E. H. Chowdhury, Serkan Kiranyaz, Nasser Al-Emadi, Anas M. Tahir, Md. Shafayet Hossain, Amith Khandakar, Somaya Al-Máadeed:
Restoration of motion-corrupted EEG signals using attention-guided operational CycleGAN. Eng. Appl. Artif. Intell. 128: 107514 (2024) - [j19]Sakib Mahmud, Muhammad E. H. Chowdhury, Moajjem Hossain Chowdhury, Abdulrahman Alqahtani, Zaid Bin Mahbub, Faycal Bensaali, Serkan Kiranyaz:
Restoration of magnetohydrodynamic-corrupted 12-lead electrocardiogram to enhance cardiac monitoring during magnetic resonance imaging. Eng. Appl. Artif. Intell. 133: 108483 (2024) - [j18]Promit Basak, A. H. M. Nazmus Sakib, Muhammad E. H. Chowdhury, Nasser Al-Emadi, Huseyin Cagatay Yalcin, Shona Pedersen, Sakib Mahmud, Serkan Kiranyaz, Somaya Al-Máadeed:
A novel deep learning technique for morphology preserved fetal ECG extraction from mother ECG using 1D-CycleGAN. Expert Syst. Appl. 235: 121196 (2024) - [j17]Sakib Mahmud, Muhammad E. H. Chowdhury, Serkan Kiranyaz, Malisha Islam Tapotee, Purnata Saha, Anas M. Tahir, Amith Khandakar, Abdulrahman Alqahtani:
Wearable wrist to finger photoplethysmogram translation through restoration using super operational neural networks based 1D-CycleGAN for enhancing cardiovascular monitoring. Expert Syst. Appl. 246: 123167 (2024) - [j16]Sakib Mahmud, Tariq O. Abbas, Muhammad E. H. Chowdhury, Adam Mushtak, Saidul Kabir, Sreekumar Muthiyal, Alaa Koko, Ahmed Balla Abdalla Altyeb, Abdulrahman Alqahtani, Amith Khandakar, Sheikh Mohammed Shariful Islam:
Automated grading of prenatal hydronephrosis severity from segmented kidney ultrasounds using deep learning. Expert Syst. Appl. 255: 124594 (2024) - [j15]Md. Ahasan Atick Faisal, Sakib Mahmud, Muhammad E. H. Chowdhury, Amith Khandakar, Mosabber Uddin Ahmed, Abdulrahman Alqahtani, Mohammed Alhatou:
Robust and novel attention guided MultiResUnet model for 3D ground reaction force and moment prediction from foot kinematics. Neural Comput. Appl. 36(3): 1105-1121 (2024) - 2023
- [j14]Md. Ahasan Atick Faisal, Muhammad Enamul Hoque Chowdhury, Zaid Bin Mahbub, Shona Pedersen, Mosabber Uddin Ahmed, Amith Khandakar, Mohammed Alhatou, Mohammad Nabil, Iffat Ara, Enamul Haque Bhuiyan, Sakib Mahmud, Mohammed AbdulMoniem:
NDDNet: a deep learning model for predicting neurodegenerative diseases from gait pattern. Appl. Intell. 53(17): 20034-20046 (2023) - [j13]Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar, M. Sohel Rahman, Antonio JR. Gonzales, Tawsifur Rahman, Md. Shafayet Hossain, Md Sakib Abrar Hossain, Md. Ahasan Atick Faisal, Farhan Fuad Abir, Farayi Musharavati, Muhammad Enamul Hoque Chowdhury:
NABNet: A Nested Attention-guided BiConvLSTM network for a robust prediction of Blood Pressure components from reconstructed Arterial Blood Pressure waveforms using PPG and ECG signals. Biomed. Signal Process. Control. 79(Part): 104247 (2023) - [j12]Kanchon Kanti Podder, Muhammad Enamul Hoque Chowdhury, Sumaya Almaadeed, Naima Nasrin Nisha, Sakib Mahmud, Fatema Hamadelneil, Taif Almkhlef, Hind Aljofairi, Adam Mushtak, Amith Khandakar, Susu M. Zughaier:
Deep learning-based middle cerebral artery blood flow abnormality detection using flow velocity waveform derived from transcranial Doppler ultrasound. Biomed. Signal Process. Control. 85: 104882 (2023) - [j11]Farhan Fuad Abir, Muhammad E. H. Chowdhury, Malisha Islam Tapotee, Adam Mushtak, Amith Khandakar, Sakib Mahmud, Anwarul Hasan:
PCovNet+: A CNN-VAE anomaly detection framework with LSTM embeddings for smartwatch-based COVID-19 detection. Eng. Appl. Artif. Intell. 122: 106130 (2023) - [j10]Arafat Rahman, Sakib Mahmud, Muhammad E. H. Chowdhury, Huseyin Cagatay Yalcin, Amith Khandakar, Onur Mutlu, Zaid Bin Mahbub, Reema Youssef Kamal, Shona Pedersen:
Fetal ECG extraction from maternal ECG using deeply supervised LinkNet++ model. Eng. Appl. Artif. Intell. 123(Part C): 106414 (2023) - [j9]Sakib Mahmud, Md. Shafayet Hossain, Muhammad Enamul Hoque Chowdhury, Mamun Bin Ibne Reaz:
MLMRS-Net: Electroencephalography (EEG) motion artifacts removal using a multi-layer multi-resolution spatially pooled 1D signal reconstruction network. Neural Comput. Appl. 35(11): 8371-8388 (2023) - [j8]Md Sakib Abrar Hossain, Sidra Gul, Muhammad E. H. Chowdhury, Muhammad Salman Khan, Md. Shaheenur Islam Sumon, Enamul Haque Bhuiyan, Amith Khandakar, Muhammad Maqsud Hossain, Abdus Sadique, Israa Al-Hashimi, Mohamed Arselene Ayari, Sakib Mahmud, Abdulrahman Alqahtani:
Deep Learning Framework for Liver Segmentation from T1-Weighted MRI Images. Sensors 23(21): 8890 (2023) - [i6]Promit Basak, A. H. M. Nazmus Sakib, Muhammad E. H. Chowdhury, Nasser Al-Emadi, Huseyin Cagatay Yalcin, Shona Pedersen, Sakib Mahmud, Serkan Kiranyaz, Somaya Al-Máadeed:
A Novel Deep Learning Technique for Morphology Preserved Fetal ECG Extraction from Mother ECG using 1D-CycleGAN. CoRR abs/2310.03759 (2023) - 2022
- [j7]Tawsifur Rahman, Amith Khandakar, Khandaker Reajul Islam, Md Mohiuddin Soliman, Mohammad Tariqul Islam, Ahmed Elsayed, Yazan Qiblawey, Sakib Mahmud, Ashiqur Rahman, Farayi Musharavati, Erfan Zalnezhad, Muhammad Enamul Hoque Chowdhury:
HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip Implants Using X-Ray Images. IEEE Access 10: 53359-53373 (2022) - [j6]Md. Ahasan Atick Faisal, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Md. Shafayet Hossain, Mohammed Alhatou, Sakib Mahmud, Iffat Ara, Shah Imran Sheikh, Mosabber Uddin Ahmed:
An investigation to study the effects of Tai Chi on human gait dynamics using classical machine learning. Comput. Biol. Medicine 142: 105184 (2022) - [j5]Farhan Fuad Abir, Khalid Alyafei, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Rashid Ahmed, Muhammad Maqsud Hossain, Sakib Mahmud, Ashiqur Rahman, Tareq O. Abbas, Susu M. Zughaier, Khalid Kamal Naji:
PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data. Comput. Biol. Medicine 147: 105682 (2022) - [j4]Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar, Anas M. Tahir, Tawsifur Rahman, Khandaker Reajul Islam, Md. Shafayet Hossain, M. Sohel Rahman, Farayi Musharavati, Mohamed Arselene Ayari, Mohammad Tariqul Islam, Muhammad Enamul Hoque Chowdhury:
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals. Sensors 22(3): 919 (2022) - [j3]Amith Khandakar, Sakib Mahmud, Muhammad Enamul Hoque Chowdhury, Mamun Bin Ibne Reaz, Serkan Kiranyaz, Zaid Bin Mahbub, Sawal Hamid Ali, Ahmad Ashrif A. Bakar, Mohamed Arselene Ayari, Mohammed Alhatou, Mohammed AbdulMoniem, Md. Ahasan Atick Faisal:
Design and Implementation of a Smart Insole System to Measure Plantar Pressure and Temperature. Sensors 22(19): 7599 (2022) - [i5]Sakib Mahmud, Amith Khandakar, Muhammad Enamul Hoque Chowdhury, Mohammed AbdulMoniem, Mamun Bin Ibne Reaz, Zaid Bin Mahbub, Kishor Kumar Sadasivuni, M. Murugappan, Mohammed Alhatou:
Design, Implementation, and Performance Evaluation of a Fiber Bragg Gratings(FBG) based Smart Insole to Measure Plantar Pressure and Temperature. CoRR abs/2208.12201 (2022) - 2021
- [j2]M. Hussayeen Khan Anik, M. Ifaz Ahmad Isti, S. M. Riazul Islam, Sakib Mahmud, Hriteshwar Talukder, Md. Jalil Piran, Shovasis Kumar Biswas, Kyung-Sup Kwak:
Milled Microchannel-Assisted Open D-Channel Photonic Crystal Fiber Plasmonic Biosensor. IEEE Access 9: 2924-2933 (2021) - [j1]Anas M. Tahir, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Tawsifur Rahman, Yazan Qiblawey, Uzair Khurshid, Serkan Kiranyaz, Nabil Ibtehaz, M. Sohel Rahman, Somaya Al-Máadeed, Sakib Mahmud, Maymouna Ezeddin, Khaled Hameed, Tahir Hamid:
COVID-19 infection localization and severity grading from chest X-ray images. Comput. Biol. Medicine 139: 105002 (2021) - [i4]Yazan Qiblawey, Anas M. Tahir, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Serkan Kiranyaz, Tawsifur Rahman, Nabil Ibtehaz, Sakib Mahmud, Somaya Al-Madeed, Farayi Musharavati:
Detection and severity classification of COVID-19 in CT images using deep learning. CoRR abs/2102.07726 (2021) - [i3]Anas M. Tahir, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Tawsifur Rahman, Yazan Qiblawey, Uzair Khurshid, Serkan Kiranyaz, Nabil Ibtehaz, Mohammad Shohel Rahman, Somaya Al-Madeed, Khaled Hameed, Tahir Hamid, Sakib Mahmud, Maymouna Ezeddin:
COVID-19 Infection Localization and Severity Grading from Chest X-ray Images. CoRR abs/2103.07985 (2021) - [i2]Muhammad Enamul Hoque Chowdhury, Nabil Ibtehaz, Tawsifur Rahman, Yosra Magdi Salih Mekki, Yazan Qiblawey, Sakib Mahmud, Maymouna Ezeddin, Susu M. Zughaier, Sumaya Ali S. A. Al-Máadeed:
QUCoughScope: An Artificially Intelligent Mobile Application to Detect Asymptomatic COVID-19 Patients using Cough and Breathing Sounds. CoRR abs/2103.12063 (2021) - [i1]Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar, Anas M. Tahir, Tawsifur Rahman, Khandaker Reajul Islam, Md. Shafayet Hossain, M. Sohel Rahman, Mohammad Tariqul Islam, Muhammad Enamul Hoque Chowdhury:
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals. CoRR abs/2111.08480 (2021) - 2020
- [c1]M. Hussayeen Khan Anik, Sakib Mahmud, M. Ifaz Ahmed Isti, Samiha Nuzhat, Shovasis Kumar Biswas, Hriteshwar Talukder:
A Novel Highly Sensitive Photonic Crystal Fiber Sensor for Detecting PH Levels of Acetic Acid Aqueous Solution Based on Surface Plasmon Resonance. ICCCNT 2020: 1-5
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last updated on 2024-12-18 18:29 CET by the dblp team
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