default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMuhammad E. H. Chowdhury
Muhammad Enamul Hoque Chowdhury
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j118]Najmath Ottakath
, Younes Akbari, Somaya Al-Máadeed, Muhammad E. H. Chowdhury, Susu M. Zughaier, Ahmed Bouridane, Kishor Kumar Sadasivuni:
MSEUnet: Refined Intima-media segmentation of the carotid artery based on a multi-scale approach using patch-wise dice loss. Biomed. Signal Process. Control. 100: 107077 (2025)- [j117]Moajjem Hossain Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md. Ali, Muhammad Salman Khan, Muhammad E. H. Chowdhury:
ROSE-Net: Leveraging remote photoplethysmography to estimate oxygen saturation using deep learning. Biomed. Signal Process. Control. 100: 107105 (2025) - [j116]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) - [j115]Promit Basak, Rusab Sarmun, Saidul Kabir, Israa Al-Hashimi, Enamul Hoque Bhuiyan, Anwarul Hasan, Muhammad Salman Khan, Muhammad E. H. Chowdhury:
Machine-agnostic automated lumbar MRI segmentation using a cascaded model based on generative neurons. Expert Syst. Appl. 264: 125862 (2025) - 2024
- [j114]Durjay Saha, Md. Emdadul Hoque, Muhammad E. H. Chowdhury:
Enhancing Bearing Fault Diagnosis Using Transfer Learning and Random Forest Classification: A Comparative Study on Variable Working Conditions. IEEE Access 12: 5986-6000 (2024) - [j113]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) - [j112]Md. Mosarrof Hossen, Molla E. Majid, Saad Bin Abul Kashem, Amith Khandakar, Mohammad Nashbat, Azad Ashraf, Mazhar Hasan-Zia, Ali K. Ansaruddin Kunju, Saidul Kabir, Muhammad E. H. Chowdhury:
A Reliable and Robust Deep Learning Model for Effective Recyclable Waste Classification. IEEE Access 12: 13809-13821 (2024) - [j111]Abdel Ghani Karkar, Muhammad E. H. Chowdhury, Naveed Nawaz, Somaya Al-Máadeed:
Surround-Screen Mobile Based Projection: Design and Implementation of Mobile Cave Virtual Reality. IEEE Access 12: 45094-45101 (2024) - [j110]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) - [j109]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) - [j108]Abdus Salam, Mansura Naznine, Nusrat Jahan, Emama Nahid, Md. Nahiduzzaman, Muhammad E. H. Chowdhury:
Mulberry Leaf Disease Detection Using CNN-Based Smart Android Application. IEEE Access 12: 83575-83588 (2024) - [j107]Zakaria Shams Siam, Rubyat Tasnuva Hasan, Moajjem Hossain Chowdhury, Md. Shaheenur Islam Sumon, Mamun Bin Ibne Reaz, Sawal Hamid Bin Mohd Ali, Adam Mushtak, Israa Al-Hashimi, Sohaib Bassam Zoghoul, Muhammad E. H. Chowdhury:
Improving MRI Resolution: A Cycle Consistent Generative Adversarial Network-Based Approach for 3T to 7T Translation. IEEE Access 12: 116498-116515 (2024) - [j106]Iqbal Hassan, Monica Zolezzi, Hanan Khalil, Rafif Mahmood Al Saady, Shona Pedersen, Muhammad E. H. Chowdhury:
Cognitive Load Estimation Using a Hybrid Cluster-Based Unsupervised Machine Learning Technique. IEEE Access 12: 118785-118801 (2024) - [j105]Billel Essaid, Hamza Kheddar, Noureddine Batel, Muhammad E. H. Chowdhury, Abderrahmane Lakas:
Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives. IEEE Access 12: 119015-119038 (2024) - [j104]M. Nithya Mylakumar, B. Geethanjali, Jagannath Mohan, Raamanarayanan AnanthaNarayanan, M. Murugappan, Muhammad E. H. Chowdhury:
Assessing the Effects of Music on Anxiety and Performance in Tasks Using Heart Rate Variability and Mean Arterial Pressure. IEEE Access 12: 143823-143841 (2024) - [j103]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) - [j102]Moajjem Hossain Chowdhury, Muhammad E. H. Chowdhury, Abdulrahman Alqahtani:
MMG-net: Multi modal approach to estimate blood glucose using multi-stream and cross modality attention. Biomed. Signal Process. Control. 92: 105975 (2024) - [j101]Purnata Saha, Ali K. Ansaruddin Kunju, Molla E. Majid, Saad Bin Abul Kashem, Mohammad Nashbat, Azad Ashraf, Mazhar Hasan-Zia, Amith Khandakar, Md. Shafayet Hossain, Abdulrahman Alqahtani, Muhammad E. H. Chowdhury:
Novel multimodal emotion detection method using Electroencephalogram and Electrocardiogram signals. Biomed. Signal Process. Control. 92: 106002 (2024) - [j100]Najmath Ottakath, Younes Akbari, Sumaya Ali S. A. Al-Máadeed, Ahmed Bouridane, Susu M. Zughaier, Muhammad E. H. Chowdhury:
Bi-attention DoubleUNet: A deep learning approach for carotid artery segmentation in transverse view images for non-invasive stenosis diagnosis. Biomed. Signal Process. Control. 94: 106350 (2024) - [j99]Md. Sakib Bin Islam, Md. Shaheenur Islam Sumon, Rusab Sarmun, Enamul Haque Bhuiyan, Muhammad E. H. Chowdhury:
Classification and segmentation of kidney MRI images for chronic kidney disease detection. Comput. Electr. Eng. 119: 109613 (2024) - [j98]Tawsifur Rahman, Amith Khandakar, Ashiqur Rahman, Susu M. Zughaier, Muna Al Maslamani, Moajjem Hossain Chowdhury, Anas M. Tahir, Md Sakib Abrar Hossain, Muhammad E. H. Chowdhury:
TB-CXRNet: Tuberculosis and Drug-Resistant Tuberculosis Detection Technique Using Chest X-ray Images. Cogn. Comput. 16(3): 1393-1412 (2024) - [j97]Rusab Sarmun, Muhammad E. H. Chowdhury, M. Murugappan, Ahmed Aqel, Maymouna Ezzuddin, Syed Mahfuzur Rahman, Amith Khandakar, Sanzida Akter, Rashad Alfkey, Anwarul Hasan:
Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization. Cogn. Comput. 16(3): 1413-1431 (2024) - [j96]Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar, Somaya Al-Madeed, Susu M. Zughaier, Suhail A. R. Doi, Hanadi Hassen, Mohammad Tariqul Islam:
An Early Warning Tool for Predicting Mortality Risk of COVID-19 Patients Using Machine Learning. Cogn. Comput. 16(4): 1778-1793 (2024) - [j95]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) - [j94]Rusab Sarmun, Saidul Kabir, Johayra Prithula, Abdulrahman Alqahtani, Sohaib Bassam Zoghoul, Israa Al-Hashimi, Adam Mushtak, Muhammad E. H. Chowdhury:
Enhancing intima-media complex segmentation with a multi-stage feature fusion-based novel deep learning framework. Eng. Appl. Artif. Intell. 133: 108050 (2024) - [j93]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) - [j92]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) - [j91]Saidul Kabir, Semir Vranic, Rafif Mahmood Al Saady, Muhammad Salman Khan, Rusab Sarmun, Abdulrahman Alqahtani, Tariq O. Abbas, Muhammad E. H. Chowdhury:
The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer. Expert Syst. Appl. 238(Part C): 122051 (2024) - [j90]Fabiha Bushra, Muhammad E. H. Chowdhury, Rusab Sarmun, Saidul Kabir, Menatalla Said, Sohaib Bassam Zoghoul, Adam Mushtak, Israa Al-Hashimi, Abdulrahman Alqahtani, Anwarul Hasan:
Deep learning in computed tomography pulmonary angiography imaging: A dual-pronged approach for pulmonary embolism detection. Expert Syst. Appl. 245: 123029 (2024) - [j89]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) - [j88]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) - [j87]Md. Faysal Ahamed, Md. Rabiul Islam, Md. Nahiduzzaman, Muhammad E. H. Chowdhury, Abdulrahman Alqahtani, M. Murugappan:
Automated Colorectal Polyps Detection from Endoscopic Images using MultiResUNet Framework with Attention Guided Segmentation. Hum. Centric Intell. Syst. 4(2): 299-315 (2024) - [j86]Abdus Salam, S. M. Nahid Hasan, Md. Jawadul Karim, Shamim Anower, Md. Nahiduzzaman, Muhammad E. H. Chowdhury, M. Murugappan:
Embedded System-Based Malaria Detection From Blood Smear Images Using Lightweight Deep Learning Model. Int. J. Imaging Syst. Technol. 34(6) (2024) - [j85]Charn Loong Ng, Mamun Bin Ibne Reaz, Maria Liz Crespo, Andres Cicuttin, Mohd Ibrahim Bin Shapiai, Sawal Hamid Md. Ali, Muhammad Enamul Hoque Chowdhury:
A Versatile and Wireless Multichannel Capacitive EMG Measurement System for Digital Healthcare. IEEE Internet Things J. 11(11): 20120-20137 (2024) - [j84]Md. Sohanur Rahman, Khandaker Reajul Islam, Johayra Prithula, Jaya Kumar, Mufti Mahmud, Mohammed Fasihul Alam, Mamun Bin Ibne Reaz, Abdulrahman Alqahtani, Muhammad E. H. Chowdhury:
Machine learning-based prognostic model for 30-day mortality prediction in Sepsis-3. BMC Medical Informatics Decis. Mak. 24(1): 249 (2024) - [j83]Md. Sohanur Rahman, Khandaker Reajul Islam, Johayra Prithula, Jaya Kumar, Mufti Mahmud, Mohammed Fasihul Alam, Mamun Bin Ibne Reaz, Abdulrahman Alqahtani, Muhammad E. H. Chowdhury:
Correction: Machine learning-based prognostic model for 30-day mortality prediction in Sepsis-3. BMC Medical Informatics Decis. Mak. 24(1): 264 (2024) - [j82]Mujahid Tabassum, Sundresan Perumal, Saad Bin Abul Kashem, Ponnan Suresh, Chinmay Chakraborty, Muhammad E. H. Chowdhury, Amith Khandakar:
Enhance data availability and network consistency using artificial neural network for IoT. Multim. Tools Appl. 83(1): 3111-3131 (2024) - [j81]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) - [j80]Fatma Latifoglu, Sultan Penekli, Firat Orhanbulucu, Muhammad E. H. Chowdhury:
A novel approach for Parkinson's disease detection using Vold-Kalman order filtering and machine learning algorithms. Neural Comput. Appl. 36(16): 9297-9311 (2024) - [j79]Maruf Ahmad, Lei Zhang, Muhammad E. H. Chowdhury:
FPGA Implementation of Complex-Valued Neural Network for Polar-Represented Image Classification. Sensors 24(3): 897 (2024) - [c6]Zafar Ahmad, Muhammad Salman Khan, Muhammad E. H. Chowdhury, Susu M. Zughaier, Wanis Hamad Ibrahim:
Phonocardiogram Classification Based on 1D CNN with Pitch-Shifting and Signal Uniformity Techniques. EUSIPCO 2024: 1536-1540 - [i41]Billel Essaid, Hamza Kheddar, Noureddine Batel, Abderrahmane Lakas, Muhammad E. H. Chowdhury:
Advanced Artificial Intelligence Algorithms in Cochlear Implants: Review of Healthcare Strategies, Challenges, and Perspectives. CoRR abs/2403.15442 (2024) - [i40]Md. Sohanur Rahman, Muhammad E. H. Chowdhury, Hasib Ryan Rahman, Mosabber Uddin Ahmed, Muhammad Ashad Kabir, Sanjiban Sekhar Roy, Rusab Sarmun:
Self-DenseMobileNet: A Robust Framework for Lung Nodule Classification using Self-ONN and Stacking-based Meta-Classifier. CoRR abs/2410.12584 (2024) - 2023
- [j78]Sriman Bidhan Baray, Mosabber Uddin Ahmed, Muhammad E. H. Chowdhury, Koichi Kise:
EOG-Based Reading Detection in the Wild Using Spectrograms and Nested Classification Approach. IEEE Access 11: 105619-105632 (2023) - [j77]Enamul Haque Bhuiyan, Muhammad E. H. Chowdhury, Paul Glover:
A Novel Approach to Monitor Head Movement Inside an MR Scanner Using Voltages Induced in Coils by Time-Varying Gradients. IEEE Access 11: 107004-107018 (2023) - [j76]Tawsifur Rahman, Mahmoud Khatib A. A. Al-Ruweidi, Md. Shaheenur Islam Sumon, Reema Youssef Kamal, Muhammad E. H. Chowdhury, Huseyin Cagatay Yalcin:
Deep Learning Technique for Congenital Heart Disease Detection Using Stacking-Based CNN-LSTM Models From Fetal Echocardiogram: A Pilot Study. IEEE Access 11: 110375-110390 (2023) - [j75]Hasibul Islam Peyal, Md. Nahiduzzaman, Md. Abu Hanif Pramanik, Md. Khalid Syfullah, Saleh Mohammed Shahriar, Abida Sultana, Mominul Ahsan, Julfikar Haider, Amith Khandakar, Muhammad E. H. Chowdhury:
Plant Disease Classifier: Detection of Dual-Crop Diseases Using Lightweight 2D CNN Architecture. IEEE Access 11: 110627-110643 (2023) - [j74]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) - [j73]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) - [j72]Md Nazmul Islam Shuzan, Muhammad Enamul Hoque Chowdhury, Mamun Bin Ibne Reaz, Amith Khandakar, Farhan Fuad Abir, Md. Ahasan Atick Faisal, Sawal Hamid Md. Ali, Ahmad Ashrif A. Bakar, Moajjem Hossain Chowdhury, Zaid Bin Mahbub, Mohammad Monir Uddin, Mohammed Alhatou:
Machine learning-based classification of healthy and impaired gaits using 3D-GRF signals. Biomed. Signal Process. Control. 81: 104448 (2023) - [j71]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) - [j70]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) - [j69]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) - [j68]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) - [j67]Tawsifur Rahman, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Zaid Bin Mahbub, Md Sakib Abrar Hossain, Abraham Alhatou, Eynas Abdalla, Sreekumar Muthiyal, Khandaker Farzana Islam, Saad Bin Abul Kashem, Muhammad Salman Khan, Susu M. Zughaier, Muhammad Maqsud Hossain:
BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data. Neural Comput. Appl. 35(24): 17461-17483 (2023) - [j66]Nabil Ibtehaz, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Serkan Kiranyaz, M. Sohel Rahman, Susu M. Zughaier:
RamanNet: a generalized neural network architecture for Raman spectrum analysis. Neural Comput. Appl. 35(25): 18719-18735 (2023) - [j65]Abida Sultana, Md. Nahiduzzaman, Sagor Chandro Bakchy, Saleh Mohammed Shahriar, Hasibul Islam Peyal, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Mohamed Arselene Ayari, Mominul Ahsan, Julfikar Haider:
A Real Time Method for Distinguishing COVID-19 Utilizing 2D-CNN and Transfer Learning. Sensors 23(9): 4458 (2023) - [j64]Kanchon Kanti Podder, Maymouna Ezeddin, Muhammad E. H. Chowdhury, Md. Shaheenur Islam Sumon, Anas M. Tahir, Mohamed Arselene Ayari, Proma Dutta, Amith Khandakar, Zaid Bin Mahbub, Muhammad Abdul Kadir:
Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model. Sensors 23(16): 7156 (2023) - [j63]Md. Faysal Ahamed, Md. Khalid Syfullah, Ovi Sarkar, Md. Tohidul Islam, Md. Nahiduzzaman, Md. Rabiul Islam, Amith Khandakar, Mohamed Arselene Ayari, Muhammad E. H. Chowdhury:
IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques. Sensors 23(18): 7724 (2023) - [j62]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) - [j61]Charn Loong Ng, Mamun Bin Ibne Reaz, Maria Liz Crespo, Andres Cicuttin, Mohd Ibrahim Bin Shapiai, Sawal Hamid Md. Ali, Noorfazila Kamal, Muhammad Enamul Hoque Chowdhury:
A Flexible Capacitive Electromyography Biomedical Sensor for Wearable Healthcare Applications. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j60]Moncef Gabbouj, Serkan Kiranyaz, Junaid Malik, Muhammad Uzair Zahid, Turker Ince, Muhammad E. H. Chowdhury, Amith Khandakar, Anas Tahir:
Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9363-9374 (2023) - [i39]Sayed Ahmed, Muhammad Ashad Kabir, Muhammad E. H. Chowdhury, Susan Nancarrow:
AI-Driven Personalised Offloading Device Prescriptions: A Cutting-Edge Approach to Preventing Diabetes-Related Plantar Forefoot Ulcers and Complications. CoRR abs/2309.13049 (2023) - [i38]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) - [i37]Fabiha Bushra, Muhammad E. H. Chowdhury, Rusab Sarmun, Saidul Kabir, Menatalla Said, Sohaib Bassam Zoghoul, Adam Mushtak, Israa Al-Hashimi, Abdulrahman Alqahtani, Anwarul Hasan:
Deep Learning in Computed Tomography Pulmonary Angiography Imaging: A Dual-Pronged Approach for Pulmonary Embolism Detection. CoRR abs/2311.05197 (2023) - 2022
- [j59]Md. Shafayet Hossain, Mamun Bin Ibne Reaz, Muhammad Enamul Hoque Chowdhury, Sawal Hamid Md. Ali, Ahmad Ashrif A. Bakar, Serkan Kiranyaz, Amith Khandakar, Mohammed Alhatou, Rumana Habib:
Motion Artifacts Correction From EEG and fNIRS Signals Using Novel Multiresolution Analysis. IEEE Access 10: 29760-29777 (2022) - [j58]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) - [j57]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) - [j56]Arafat Rahman, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Anas M. Tahir, Nabil Ibtehaz, Md. Shafayet Hossain, Serkan Kiranyaz, Junaid Malik, Haya Monawwar, Muhammad Abdul Kadir:
Robust biometric system using session invariant multimodal EEG and keystroke dynamics by the ensemble of self-ONNs. Comput. Biol. Medicine 142: 105238 (2022) - [j55]Nandhini Subramanian, Omar Elharrouss, Somaya Al-Máadeed, Muhammad Enamul Hoque Chowdhury:
A review of deep learning-based detection methods for COVID-19. Comput. Biol. Medicine 143: 105233 (2022) - [j54]Tawsifur Rahman, Amith Khandakar, Farhan Fuad Abir, Md. Ahasan Atick Faisal, Md. Shafayet Hossain, Kanchon Kanti Podder, Tariq O. Abbas, Mohammed Fasihul Alam, Saad Bin Abul Kashem, Mohammad Tariqul Islam, Susu M. Zughaier, Muhammad Enamul Hoque Chowdhury:
QCovSML: A reliable COVID-19 detection system using CBC biomarkers by a stacking machine learning model. Comput. Biol. Medicine 143: 105284 (2022) - [j53]Sidra Gul, Muhammad Salman Khan, Asima Bibi, Amith Khandakar, Mohamed Arselene Ayari, Muhammad Enamul Hoque Chowdhury:
Deep learning techniques for liver and liver tumor segmentation: A review. Comput. Biol. Medicine 147: 105620 (2022) - [j52]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) - [j51]Khalid Alyafei, Rashid Ahmed, Farhan Fuad Abir, Muhammad Enamul Hoque Chowdhury, Khalid Kamal Naji:
A comprehensive review of COVID-19 detection techniques: From laboratory systems to wearable devices. Comput. Biol. Medicine 149: 106070 (2022) - [j50]Anas M. Tahir, Yazan Qiblawey, Amith Khandakar, Tawsifur Rahman, Uzair Khurshid, Farayi Musharavati, Mohammad Tariqul Islam, Serkan Kiranyaz, Somaya Al-Máadeed, Muhammad Enamul Hoque Chowdhury:
Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images. Cogn. Comput. 14(5): 1752-1772 (2022) - [j49]Tariq O. Abbas, Mohamed Abdelmoniem, Muhammad Enamul Hoque Chowdhury:
Automated quantification of penile curvature using artificial intelligence. Frontiers Artif. Intell. 5 (2022) - [j48]Tawsifur Rahman, Alex Akinbi, Muhammad Enamul Hoque Chowdhury, Tarik A. Rashid, Abdulkadir Sengür, Amith Khandakar, Khandaker Reajul Islam, Aras Masood Ismael:
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network. Health Inf. Sci. Syst. 10(1): 1 (2022) - [j47]Kanchon Kanti Podder, Muhammad Enamul Hoque Chowdhury, Anas M. Tahir, Zaid Bin Mahbub, Amith Khandakar, Md. Shafayet Hossain, Muhammad Abdul Kadir:
Bangla Sign Language (BdSL) Alphabets and Numerals Classification Using a Deep Learning Model. Sensors 22(2): 574 (2022) - [j46]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) - [j45]Amith Khandakar, Muhammad Enamul Hoque Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md. Ali, Tariq O. Abbas, Tanvir Alam, Mohamed Arselene Ayari, Zaid Bin Mahbub, Rumana Habib, Tawsifur Rahman, Anas M. Tahir, Ahmad Ashrif A. Bakar, Rayaz A. Malik:
Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques. Sensors 22(5): 1793 (2022) - [j44]Md. Shafayet Hossain, Muhammad Enamul Hoque Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md. Ali, Ahmad Ashrif A. Bakar, Serkan Kiranyaz, Amith Khandakar, Mohammed Alhatou, Rumana Habib, Muhammad Maqsud Hossain:
Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals Using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis. Sensors 22(9): 3169 (2022) - [j43]Fahmida Haque, Mamun Bin Ibne Reaz, Muhammad Enamul Hoque Chowdhury, Maymouna Ezeddin, Serkan Kiranyaz, Mohammed Alhatou, Sawal Hamid Md. Ali, Ahmad Ashrif A. Bakar, Geetika Srivastava:
Machine Learning-Based Diabetic Neuropathy and Previous Foot Ulceration Patients Detection Using Electromyography and Ground Reaction Forces during Gait. Sensors 22(9): 3507 (2022) - [j42]Amith Khandakar, Muhammad Enamul Hoque Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md. Ali, Serkan Kiranyaz, Tawsifur Rahman, Moajjem Hossain Chowdhury, Mohamed Arselene Ayari, Rashad Alfkey, Ahmad Ashrif A. Bakar, Rayaz A. Malik, Anwarul Hasan:
A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images. Sensors 22(11): 4249 (2022) - [j41]Hamada R. H. Al-Absi, Mohammad Tariqul Islam, Mahmoud Ahmed Refaee, Muhammad Enamul Hoque Chowdhury, Tanvir Alam:
Cardiovascular Disease Diagnosis from DXA Scan and Retinal Images Using Deep Learning. Sensors 22(12): 4310 (2022) - [j40]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) - [j39]Muhammad Uzair Zahid, Serkan Kiranyaz, Turker Ince, Ozer Can Devecioglu, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Anas M. Tahir, Moncef Gabbouj:
Robust R-Peak Detection in Low-Quality Holter ECGs Using 1D Convolutional Neural Network. IEEE Trans. Biomed. Eng. 69(1): 119-128 (2022) - [j38]Serkan Kiranyaz, Ozer Can Devecioglu, Turker Ince, Junaid Malik, Muhammad Enamul Hoque Chowdhury, Tahir Hamid, Rashid Mazhar, Amith Khandakar, Anas Tahir, Tawsifur Rahman, Moncef Gabbouj:
Blind ECG Restoration by Operational Cycle-GANs. IEEE Trans. Biomed. Eng. 69(12): 3572-3581 (2022) - [j37]Nabil Ibtehaz, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Serkan Kiranyaz, M. Sohel Rahman, Anas Tahir, Yazan Qiblawey, Tawsifur Rahman:
EDITH : ECG Biometrics Aided by Deep Learning for Reliable Individual Authentication. IEEE Trans. Emerg. Top. Comput. Intell. 6(4): 928-940 (2022) - [j36]Kh Shahriya Zaman, Mamun Bin Ibne Reaz, Sawal Hamid Md. Ali, Ahmad Ashrif A. Bakar, Muhammad Enamul Hoque Chowdhury:
Custom Hardware Architectures for Deep Learning on Portable Devices: A Review. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6068-6088 (2022) - [c5]Aysen Degerli, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Moncef Gabbouj:
Osegnet: Operational Segmentation Network for Covid-19 Detection Using Chest X-Ray Images. ICIP 2022: 2306-2310 - [i36]Nabil Ibtehaz, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Susu M. Zughaier, Serkan Kiranyaz, M. Sohel Rahman:
RamanNet: A generalized neural network architecture for Raman Spectrum Analysis. CoRR abs/2201.09737 (2022) - [i35]Serkan Kiranyaz, Ozer Can Devecioglu, Turker Ince, Junaid Malik, Muhammad Enamul Hoque Chowdhury, Tahir Hamid, Rashid Mazhar, Amith Khandakar, Anas Tahir, Tawsifur Rahman, Moncef Gabbouj:
Blind ECG Restoration by Operational Cycle-GANs. CoRR abs/2202.00589 (2022) - [i34]Aysen Degerli, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Moncef Gabbouj:
OSegNet: Operational Segmentation Network for COVID-19 Detection using Chest X-ray Images. CoRR abs/2202.10185 (2022) - [i33]Fahmida Haque, Mamun Bin Ibne Reaz, Muhammad Enamul Hoque Chowdhury, Rayaz A. Malik, Mohammed Alhatou, Syoji Kobashi, Iffat Ara, Sawal Hamid Md. Ali, Ahmad Ashrif A. Bakar, Geetika Srivastava:
A machine learning-based severity prediction tool for diabetic sensorimotor polyneuropathy using Michigan neuropathy screening instrumentations. CoRR abs/2203.15151 (2022) - [i32]Md. Shafayet Hossain, Muhammad Enamul Hoque Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md. Ali, Ahmad Ashrif A. Bakar, Serkan Kiranyaz, Amith Khandakar, Mohammed Alhatou, Rumana Habib, Muhammad Maqsud Hossain:
Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis. CoRR abs/2204.04533 (2022) - [i31]Fahmida Haque, Mamun Bin Ibne Reaz, Muhammad Enamul Hoque Chowdhury, Serkan Kiranyaz, Mohamed Abdelmoniem, Emadeddin Hussein, Mohammed Shaat, Sawal Hamid Md. Ali, Ahmad Ashrif A. Bakar, Geetika Srivastava, Mohammad Arif Sobhan Bhuiyan, Mohd Hadri Hafiz Mokhtar, Edi Kurniawan:
Evaluating Performance of Machine Learning Models for Diabetic Sensorimotor Polyneuropathy Severity Classification using Biomechanical Signals during Gait. CoRR abs/2205.10581 (2022) - [i30]Tawsifur Rahman, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Zaid Bin Mahbub, Md Sakib Abrar Hossain, Abraham Alhatou, Eynas Abdalla, Sreekumar Muthiyal, Khandaker Farzana Islam, Saad Bin Abul Kashem, Muhammad Salman Khan, Susu M. Zughaier, Muhammad Maqsud Hossain:
BIO-CXRNET: A Robust Multimodal Stacking Machine Learning Technique for Mortality Risk Prediction of COVID-19 Patients using Chest X-Ray Images and Clinical Data. CoRR abs/2206.07595 (2022) - [i29]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) - [i28]Tariq O. Abbas, Mohamed Abdelmoniem, Ibrahim Khalil, Md Sakib Abrar Hossain, Muhammad Enamul Hoque Chowdhury:
Deep Learning based Automatic Quantification of Urethral Plate Quality using the Plate Objective Scoring Tool (POST). CoRR abs/2209.13848 (2022) - [i27]Turker Ince, Serkan Kiranyaz, Ozer Can Devecioglu, Muhammad Salman Khan, Muhammad Enamul Hoque Chowdhury, Moncef Gabbouj:
Blind Restoration of Real-World Audio by 1D Operational GANs. CoRR abs/2212.14618 (2022) - 2021
- [j35]Fahmida Haque, Mamun Bin Ibne Reaz, Muhammad Enamul Hoque Chowdhury, Fazida Hanim Hashim, Norhana Arsad, Sawal Hamid Md. Ali:
Diabetic Sensorimotor Polyneuropathy Severity Classification Using Adaptive Neuro Fuzzy Inference System. IEEE Access 9: 7618-7631 (2021) - [j34]Mete Ahishali, Aysen Degerli, Mehmet Yamac, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Khalid Hameed, Tahir Hamid, Rashid Mazhar, Moncef Gabbouj:
Advance Warning Methodologies for COVID-19 Using Chest X-Ray Images. IEEE Access 9: 41052-41065 (2021) - [j33]Mohammad Shahidul Islam, Mohammad Tariqul Islam, Ahasanul Hoque, Md. Tarikul Islam, Nowshad Amin, Muhammad Enamul Hoque Chowdhury:
A Portable Electromagnetic Head Imaging System Using Metamaterial Loaded Compact Directional 3D Antenna. IEEE Access 9: 50893-50906 (2021) - [j32]Ahasanul Hoque, Mohammad Tariqul Islam, Ali F. Almutairi, Muhammad Enamul Hoque Chowdhury:
DNG Metamaterial Reflector Using SOCT Shaped Resonator for Microwave Applications. IEEE Access 9: 59148-59159 (2021) - [j31]Amran Hossain, Mohammad Tariqul Islam, Mohammad Shahidul Islam, Muhammad Enamul Hoque Chowdhury, Ali F. Almutairi, Qutaiba A. Razouqi, Norbahiah Misran:
A YOLOv3 Deep Neural Network Model to Detect Brain Tumor in Portable Electromagnetic Imaging System. IEEE Access 9: 82647-82660 (2021) - [j30]Arafat Rahman, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Serkan Kiranyaz, Kh Shahriya Zaman, Mamun Bin Ibne Reaz, Mohammad Tariqul Islam, Maymouna Ezeddin, Muhammad Abdul Kadir:
Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms. IEEE Access 9: 94625-94643 (2021) - [j29]Md Nazmul Islam Shuzan, Moajjem Hossain Chowdhury, Md. Shafayet Hossain, Muhammad Enamul Hoque Chowdhury, Mamun Bin Ibne Reaz, Mohammad Monir Uddin, Amith Khandakar, Zaid Bin Mahbub, Sawal Hamid Md. Ali:
A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model. IEEE Access 9: 96775-96790 (2021) - [j28]Tawsifur Rahman, Amith Khandakar, Md Enamul Hoque, Nabil Ibtehaz, Saad Bin Abul Kashem, Reehum Masud, Lutfunnahar Shampa, Mohammad Mehedi Hasan, Mohammad Tariqul Islam, Somaya Al-Máadeed, Susu M. Zughaier, Saif Badran, Suhail A. R. Doi, Muhammad Enamul Hoque Chowdhury:
Development and Validation of an Early Scoring System for Prediction of Disease Severity in COVID-19 Using Complete Blood Count Parameters. IEEE Access 9: 120422-120441 (2021) - [j27]Tawsifur Rahman, Amith Khandakar, Yazan Qiblawey, Anas M. Tahir, Serkan Kiranyaz, Saad Bin Abul Kashem, Mohammad Tariqul Islam, Somaya Al-Máadeed, Susu M. Zughaier, Muhammad Salman Khan, Muhammad Enamul Hoque Chowdhury:
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images. Comput. Biol. Medicine 132: 104319 (2021) - [j26]Amith Khandakar, Muhammad Enamul Hoque Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md. Ali, Anwarul Hasan, Serkan Kiranyaz, Tawsifur Rahman, Rashad Alfkey, Ahmad Ashrif A. Bakar, Rayaz A. Malik:
A machine learning model for early detection of diabetic foot using thermogram images. Comput. Biol. Medicine 137: 104838 (2021) - [j25]Fahmida Haque, Mamun Bin Ibne Reaz, Muhammad Enamul Hoque Chowdhury, Sawal Hamid Md. Ali, Ahmad Ashrif A. Bakar, Tawsifur Rahman, Syoji Kobashi, Chitra A. Dhawale, Mohammad Arif Sobhan Bhuiyan:
A nomogram-based diabetic sensorimotor polyneuropathy severity prediction using Michigan neuropathy screening instrumentations. Comput. Biol. Medicine 139: 104954 (2021) - [j24]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) - [j23]Aysen Degerli, Mete Ahishali, Mehmet Yamac, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Khalid Hameed, Tahir Hamid, Rashid Mazhar, Moncef Gabbouj:
COVID-19 infection map generation and detection from chest X-ray images. Health Inf. Sci. Syst. 9(1): 15 (2021) - [j22]Md Mohiuddin Soliman, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Mohammad Tariqul Islam, Yazan Qiblawey, Farayi Musharavati, Erfan Zal Nezhad:
Review on Medical Implantable Antenna Technology and Imminent Research Challenges. Sensors 21(9): 3163 (2021) - [j21]Faizad Ullah, Shahab U. Ansari, Muhammad Hanif, Mohamed Arselene Ayari, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Muhammad Salman Khan:
Brain MR Image Enhancement for Tumor Segmentation Using 3D U-Net. Sensors 21(22): 7528 (2021) - [j20]Mehmet Yamaç, Mete Ahishali, Aysen Degerli, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Moncef Gabbouj:
Convolutional Sparse Support Estimator-Based COVID-19 Recognition From X-Ray Images. IEEE Trans. Neural Networks Learn. Syst. 32(5): 1810-1820 (2021) - [c4]Aysen Degerli, Mete Ahishali, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Moncef Gabbouj:
Reliable Covid-19 Detection using Chest X-Ray Images. ICIP 2021: 185-189 - [i26]Muhammad Uzair Zahid, Serkan Kiranyaz, Turker Ince, Ozer Can Devecioglu, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Anas M. Tahir, Moncef Gabbouj:
Robust R-Peak Detection in Low-Quality Holter ECGs using 1D Convolutional Neural Network. CoRR abs/2101.01666 (2021) - [i25]Aysen Degerli, Mete Ahishali, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Moncef Gabbouj:
Reliable COVID-19 Detection Using Chest X-ray Images. CoRR abs/2101.12254 (2021) - [i24]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) - [i23]Nabil Ibtehaz, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Serkan Kiranyaz, M. Sohel Rahman, Anas M. Tahir, Yazan Qiblawey, Tawsifur Rahman:
EDITH : ECG biometrics aided by Deep learning for reliable Individual auTHentication. CoRR abs/2102.08026 (2021) - [i22]Md Nazmul Islam Shuzan, Moajjem Hossain Chowdhury, Muhammad Enamul Hoque Chowdhury, Mohammad Monir Uddin, Amith Khandakar, Zaid Bin Mahbub, Naveed Nawaz:
A Novel Non-Invasive Estimation of Respiration Rate from Photoplethysmograph Signal Using Machine Learning Model. CoRR abs/2102.09483 (2021) - [i21]Arafat Rahman, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Serkan Kiranyaz, Kh Shahriya Zaman, Mamun Bin Ibne Reaz, Mohammad Tariqul Islam, Muhammad Abdul Kadir:
Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms. CoRR abs/2103.07274 (2021) - [i20]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) - [i19]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) - [i18]Tawsifur Rahman, Alex Akinbi, Muhammad Enamul Hoque Chowdhury, Tarik A. Rashid, Abdulkadir Sengür, Amith Khandakar, Khandaker Reajul Islam, Aras Masood Ismael:
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network. CoRR abs/2106.00436 (2021) - [i17]Amith Khandakar, Muhammad Enamul Hoque Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md. Ali, Anwarul Hasan, Serkan Kiranyaz, Tawsifur Rahman, Rashad Alfkey, Ahmad Ashrif A. Bakar, Rayaz A. Malik:
A Machine Learning Model for Early Detection of Diabetic Foot using Thermogram Images. CoRR abs/2106.14207 (2021) - [i16]Amith Khandakar, Muhammad Enamul Hoque Chowdhury, Md. Saifuddin Khalid, Nizar Zorba:
Case study of Innovative Teaching Practices and their Impact for Electrical Engineering Courses during COVID-19 Pandemic. CoRR abs/2107.00746 (2021) - [i15]Serkan Kiranyaz, Junaid Malik, Muhammad Uzair Zahid, Turker Ince, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Anas M. Tahir, Moncef Gabbouj:
Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks. CoRR abs/2110.02381 (2021) - [i14]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
- [j19]Muhammad Enamul Hoque Chowdhury, Tawsifur Rahman, Amith Khandakar, Rashid Mazhar, Muhammad Abdul Kadir, Zaid Bin Mahbub, Khandakar Reajul Islam, Muhammad Salman Khan, Atif Iqbal, Nasser Al-Emadi, Mamun Bin Ibne Reaz, Mohammad Tariqul Islam:
Can AI Help in Screening Viral and COVID-19 Pneumonia? IEEE Access 8: 132665-132676 (2020) - [j18]Saif Hannan, Mohammad Tariqul Islam, Norsuzlin Mohd Sahar, Kamarulzaman Bin Mat, Muhammad Enamul Hoque Chowdhury, Hatem Rmili:
Modified-Segmented Split-Ring Based Polarization and Angle-Insensitive Multi-Band Metamaterial Absorber for X, Ku and K Band Applications. IEEE Access 8: 144051-144063 (2020) - [j17]Teoh Ji Sheng, Mohammad Shahidul Islam, Norbahiah Misran, Mohd Hafiz Baharuddin, Haslina Arshad, Md. Rashedul Islam, Muhammad Enamul Hoque Chowdhury, Hatem Rmili, Mohammad Tariqul Islam:
An Internet of Things Based Smart Waste Management System Using LoRa and Tensorflow Deep Learning Model. IEEE Access 8: 148793-148811 (2020) - [j16]Amran Hossain, Mohammad Tariqul Islam, Muhammad Enamul Hoque Chowdhury, Md. Samsuzzaman:
A Grounded Coplanar Waveguide-Based Slotted Inverted Delta-Shaped Wideband Antenna for Microwave Head Imaging. IEEE Access 8: 185698-185724 (2020) - [j15]Tawsifur Rahman, Amith Khandakar, Muhammad Abdul Kadir, Khandaker Reajul Islam, Khandakar F. Islam, Rashid Mazhar, Tahir Hamid, Mohammad Tariqul Islam, Saad Bin Abul Kashem, Zaid Bin Mahbub, Mohamed Arselene Ayari, Muhammad Enamul Hoque Chowdhury:
Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization. IEEE Access 8: 191586-191601 (2020) - [j14]JiFeng Nan, Mohammadreza Rezaei, Rashid Mazhar, Fadi Jaber, Farayi Musharavati, Erfan Zalnezhad, Muhammad Enamul Hoque Chowdhury:
Finite Element Analysis of the Mechanism of Traumatic Aortic Rupture (TAR). Comput. Math. Methods Medicine 2020: 6718495:1-6718495:13 (2020) - [j13]Anas M. Tahir, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Sara Al-Hamouz, Merna Abdalla, Sara Awadallah, Mamun Bin Ibne Reaz, Nasser Al-Emadi:
A Systematic Approach to the Design and Characterization of a Smart Insole for Detecting Vertical Ground Reaction Force (vGRF) in Gait Analysis. Sensors 20(4): 957 (2020) - [j12]Moajjem Hossain Chowdhury, Md Nazmul Islam Shuzan, Muhammad Enamul Hoque Chowdhury, Zaid Bin Mahbub, Mohammad Monir Uddin, Amith Khandakar, Mamun Bin Ibne Reaz:
Estimating Blood Pressure from the Photoplethysmogram Signal and Demographic Features Using Machine Learning Techniques. Sensors 20(11): 3127 (2020) - [j11]Mahmoud Dahmani, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Tawsifur Rahman, Khaled Al-Jayyousi, Abdalla Hefny, Serkan Kiranyaz:
An Intelligent and Low-Cost Eye-Tracking System for Motorized Wheelchair Control. Sensors 20(14): 3936 (2020) - [j10]Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Saba Ahmed, Fatima Al-Khuzaei, Jalaa Hamdalla, Fahmida Haque, Mamun Bin Ibne Reaz, Ahmed Al Shafei, Nasser Al-Emadi:
Design, Construction and Testing of IoT Based Automated Indoor Vertical Hydroponics Farming Test-Bed in Qatar. Sensors 20(19): 5637 (2020) - [c3]Abdularahman Hasan Abunada, Ahmed Yousif Osman, Amith Khandakar, Muhammad Enamul Hoque Chowdhury, Tamer Khattab, Farid Touati:
Design and Implementation of a RF Based Anti-Drone System. ICIoT 2020: 35-42 - [c2]Khalid Abualsaud, Muhammad Enamul Hoque Chowdhury, Abdurrazzak Gehani, Elias Yaacoub, Tamer Khattab, Jamal Hammad:
A New Wearable ECG Monitor Evaluation and Experimental Analysis: Proof of Concept. IWCMC 2020: 1885-1890 - [i13]Muhammad Enamul Hoque Chowdhury, Tawsifur Rahman, Amith Khandakar, Rashid Mazhar, Muhammad Abdul Kadir, Zaid Bin Mahbub, Khandakar Reajul Islam, Muhammad Salman Khan, Atif Iqbal, Nasser Al-Emadi, Mamun Bin Ibne Reaz:
Can AI help in screening Viral and COVID-19 pneumonia? CoRR abs/2003.13145 (2020) - [i12]Tawsifur Rahman, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Khandakar Reajul Islam, Khandaker F. Islam, Zaid Bin Mahbub, Muhammad Abdul Kadir, Saad Bin Abul Kashem:
Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray. CoRR abs/2004.06578 (2020) - [i11]Mahmoud Dahmani, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Tawsifur Rahman, Khaled Al-Jayyousi, Abdalla Hefny, Serkan Kiranyaz:
An Intelligent and Low-cost Eye-tracking System for Motorized Wheelchair Control. CoRR abs/2005.02118 (2020) - [i10]Moajjem Hossain Chowdhury, Md Nazmul Islam Shuzan, Muhammad Enamul Hoque Chowdhury, Zaid Bin Mahbub, Mohammad Monir Uddin, Amith Khandakar, Mamun Bin Ibne Reaz:
Estimating Blood Pressure from Photoplethysmogram Signal and Demographic Features using Machine Learning Techniques. CoRR abs/2005.03357 (2020) - [i9]Mehmet Yamac, Mete Ahishali, Aysen Degerli, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Moncef Gabbouj:
Convolutional Sparse Support Estimator Based Covid-19 Recognition from X-ray Images. CoRR abs/2005.04014 (2020) - [i8]Anas M. Tahir, Yazan Qiblawey, Amith Khandakar, Tawsifur Rahman, Uzair Khurshid, Farayi Musharavati, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury:
Coronavirus: Comparing COVID-19, SARS and MERS in the eyes of AI. CoRR abs/2005.11524 (2020) - [i7]Mete Ahishali, Aysen Degerli, Mehmet Yamac, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Khalid Hameed, Tahir Hamid, Rashid Mazhar, Moncef Gabbouj:
A Comparative Study on Early Detection of COVID-19 from Chest X-Ray Images. CoRR abs/2006.05332 (2020) - [i6]Amith Khandakar, Annaufal Rizqullah, Anas Ashraf Abdou Berbar, Mohammad Rafi Ahmed, Atif Iqbal, Muhammad Enamul Hoque Chowdhury, S. M. Ashfaq Uz Zaman:
A Case Study to Identify the Hindrances to Widespread Adoption of Electric Vehicles in Qatar. CoRR abs/2006.15428 (2020) - [i5]Tawsifur Rahman, Amith Khandakar, Muhammad Abdul Kadir, Khandakar Reajul Islam, Khandaker F. Islam, Rashid Mazhar, Tahir Hamid, Mohammad Tariqul Islam, Zaid Bin Mahbub, Mohamed Arselene Ayari, Muhammad Enamul Hoque Chowdhury:
Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization. CoRR abs/2007.14895 (2020) - [i4]Muhammad Enamul Hoque Chowdhury, Tawsifur Rahman, Amith Khandakar, Somaya Al-Madeed, Susu M. Zughaier, Suhail A. R. Doi, Hanadi Hassen, Mohammad Tariqul Islam:
An early warning tool for predicting mortality risk of COVID-19 patients using machine learning. CoRR abs/2007.15559 (2020) - [i3]Aysen Degerli, Mete Ahishali, Mehmet Yamac, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Khalid Hameed, Tahir Hamid, Rashid Mazhar, Moncef Gabbouj:
COVID-19 Infection Map Generation and Detection from Chest X-Ray Images. CoRR abs/2009.12698 (2020) - [i2]Tawsifur Rahman, Amith Khandakar, Yazan Qiblawey, Anas M. Tahir, Serkan Kiranyaz, Saad Bin Abul Kashem, Mohammad Tariqul Islam, Somaya Al-Máadeed, Susu M. Zughaier, Muhammad Salman Khan, Muhammad Enamul Hoque Chowdhury:
Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images. CoRR abs/2012.02238 (2020) - [i1]Kaleem Nawaz Khan, Faiq Ahmad Khan, Anam Abid, Tamer Ölmez, Zümray Dokur, Amith Khandakar, Muhammad Enamul Hoque Chowdhury, Muhammad Salman Khan:
Deep Learning Based Classification of Unsegmented Phonocardiogram Spectrograms Leveraging Transfer Learning. CoRR abs/2012.08406 (2020)
2010 – 2019
- 2019
- [j9]Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Karen J. Mullinger, Belayat Hossain, Nasser Al-Emadi, Andre Antunes, Richard Bowtell:
Reference Layer Artefact Subtraction (RLAS): Electromagnetic Simulations. IEEE Access 7: 17882-17895 (2019) - [j8]Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Belayat Hossain, Rayaan Abouhasera:
A Low-Cost Closed-Loop Solar Tracking System Based on the Sun Position Algorithm. J. Sensors 2019: 3681031:1-3681031:11 (2019) - [j7]Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Belayat Hossain, Rayaan Abouhasera:
Corrigendum to "A Low-Cost Closed-Loop Solar Tracking System Based on the Sun Position Algorithm". J. Sensors 2019: 4214089:1 (2019) - [j6]Amith Khandakar, Muhammad Enamul Hoque Chowdhury, Rashid Ahmed, Ahmed Dhib, Mohammed Mohammed, Nasser Al-Emadi, Dave Michelson:
Portable System for Monitoring and Controlling Driver Behavior and the Use of a Mobile Phone While Driving. Sensors 19(7): 1563 (2019) - [j5]Muhammad Enamul Hoque Chowdhury, Khawla Alzoubi, Amith Khandakar, Ridab Khallifa, Rayaan Abouhasera, Sirine Koubaa, Rashid Ahmed, Anwarul Hasan:
Wearable Real-Time Heart Attack Detection and Warning System to Reduce Road Accidents. Sensors 19(12): 2780 (2019) - [j4]Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Khawla Alzoubi, Samar Mansoor, Anas M. Tahir, Mamun Bin Ibne Reaz, Nasser Al-Emadi:
Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring. Sensors 19(12): 2781 (2019) - 2018
- [j3]Glyn S. Spencer, James A. Smith, Muhammad Enamul Hoque Chowdhury, Richard Bowtell, Karen J. Mullinger:
Exploring the origins of EEG motion artefacts during simultaneous fMRI acquisition: Implications for motion artefact correction. NeuroImage 173: 188-198 (2018) - 2015
- [c1]Tamal Adhikary, Amit Kumar Das, Md. Abdur Razzaque, Muhammad Enamul Hoque Chowdhury, Shohana Parvin:
Test implementation of a sensor device for measuring soil macronutrients. NSysS 2015: 1-8 - 2014
- [j2]Muhammad Enamul Hoque Chowdhury, Karen J. Mullinger, Paul Glover, Richard Bowtell:
Reference layer artefact subtraction (RLAS): A novel method of minimizing EEG artefacts during simultaneous fMRI. NeuroImage 84: 307-319 (2014) - [j1]Muhammad Enamul Hoque Chowdhury, Karen J. Mullinger, Paul Glover, Richard Bowtell:
Corrigendum to "Reference layer artefact subtraction (RLAS): A novel method of minimizing EEG artefacts during simultaneous fMRI" [Neuroimage 84 (2014) 307-319]. NeuroImage 98: 547 (2014)
Coauthor Index
[j112] [j110] [j103] [j101] [j98] [j97] [j96] [j95] [j89] [j88] [j82] [j81] [j75] [j74] [j73] [j72] [j71] [j70] [j69] [j67] [j66] [j65] [j64] [j63] [j62] [j60] [j59] [j58] [j57] [j56] [j54] [j53] [j52] [j50] [j48] [j47] [j46] [j45] [j44] [j42] [j40] [j39] [j38] [j37] [i36] [i35] [i32] [i30] [i29] [j30] [j29] [j28] [j27] [j26] [j24] [j22] [j21] [i26] [i24] [i23] [i22] [i21] [i20] [i18] [i17] [i16] [i15] [i14] [j19] [j15] [j13] [j12] [j11] [j10] [c3] [i13] [i12] [i11] [i10] [i8] [i6] [i5] [i4] [i2] [i1] [j9] [j8] [j7] [j6] [j5] [j4]
Anas M. Tahir
aka: Anas Tahir
aka: Anas Tahir
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-18 19:22 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
