Muhammad E. H. Chowdhury - researchr alias

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Viewing Publication 1 - 80 from 80

2025

Deep learning and vision transformers-based framework for breast cancer and subtype identificationIshrat Jahan 0003, Muhammad E. H. Chowdhury, Semir Vranic, Rafif Mahmood Al Saady, Saidul Kabir, Zahid Hasan Pranto, Sabiha Jahan Mim, Sadia Farhana Nobi. nca, 37(16):9311-9330, June 2025. [doi]

Enhanced coronary artery segmentation and stenosis detection: Leveraging novel deep learning techniquesAbu Jaffor Morshedul Abedin, Rusab Sarmun, Adam Mushtak, Mohamed Sultan Bin Mohamed Ali, Anwarul Hasan, Ponnuthurai Nagaratnam Suganthan, Muhammad E. H. Chowdhury. bspc, 109:108023, 2025. [doi]

Deep learning-based beat-to-beat arterial blood pressure estimation using distant radar signalsChowdhury Farhan Ahmed, Md Kamal Hosain, Md. Shafayet Hossain, Muhammad E. H. Chowdhury, Sakib Mahmud, Muhammad Ashad Kabir, Abdulrahman Alqahtani, Anwarul Hasan. nca, 37(21):16677-16702, July 2025. [doi]

Machine-agnostic automated lumbar MRI segmentation using a cascaded model based on generative neuronsPromit Basak, Rusab Sarmun, Saidul Kabir, Israa Al-Hashimi, Enamul Hoque Bhuiyan, Anwarul Hasan, Muhammad Salman Khan 0001, Muhammad E. H. Chowdhury. eswa, 264:125862, 2025. [doi]

Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning ApproachShaikh Afnan Birahim, Avijit Paul, Fahmida Rahman, Yamina Islam, Tonmoy Roy, Mohammad Asif Hasan, Fariha Haque, Muhammad E. H. Chowdhury. access, 13:13711-13730, 2025. [doi]

Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-ClassificationRajendra Babu Chikkala, Chinta Anuradha, Patnala S. R. Chandra Murty, S. Rajeswari, N. Rajeswaran, M. Murugappan, Muhammad E. H. Chowdhury. access, 13:41682-41707, 2025. [doi]

ROSE-Net: Leveraging remote photoplethysmography to estimate oxygen saturation using deep learningMoajjem Hossain Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md. Ali, Muhammad Salman Khan 0001, Muhammad E. H. Chowdhury. bspc, 100:107105, 2025. [doi]

Decoding silent speech: a machine learning perspective on data, methods, and frameworksAdiba Tabassum Chowdhury, Mehrin Newaz, Purnata Saha, Mohannad Natheef AbuHaweeleh, Sara Mohsen, Diala Bushnaq, Malek Chabbouh, Raghad Aljindi, Shona Pedersen, Muhammad E. H. Chowdhury. nca, 37(10):6995-7013, April 2025. [doi]

Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy EnvironmentsBillel Essaid, Hamza Kheddar, Noureddine Batel, Muhammad E. H. Chowdhury. access, 13:35707-35732, 2025. [doi]

Rapid wall shear stress prediction for aortic aneurysms using deep learning: a fast alternative to CFDMd. Ahasan Atick Faisal, Onur Mutlu, Sakib Mahmud, Anas Tahir, Muhammad E. H. Chowdhury, Faycal Bensaali, Abdulrahman Alnabti, Mehmet Metin Yavuz, Ayman El-Menyar, Hassan Al-Thani, Huseyin Cagatay Yalcin. mbec, 63(7):2173-2190, July 2025. [doi]

Advanced deep learning and large language models: Comprehensive insights for cancer detectionYassine Habchi, Hamza Kheddar, Yassine Himeur, Adel Belouchrani, Erchin Serpedin, Fouad Khelifi, Muhammad E. H. Chowdhury. ivc, 157:105495, 2025. [doi]

An End-to-End Concatenated CNN Attention Model for the Classification of Lung Cancer With XAI TechniquesFariha Haque, Mohammad Asif Hasan, Md. Abu Ismail Siddique, Tonmoy Roy, Tonmoy Kanti Shaha, Yamina Islam, Avijit Paul, Muhammad E. H. Chowdhury. access, 13:96317-96336, 2025. [doi]

A Novel Partitioned Random Forest Method-Based Facial Emotion RecognitionHanif Heidari, M. Murugappan, Javeed Shaikh-Mohammed, Muhammad E. H. Chowdhury. access, 13:75085-75099, 2025. [doi]

A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AIOishi Jyoti, Hafsa Binte Kibria, Zareen Tasnim Pear, Md. Nahiduzzaman, MD. Faysal Ahamed, Khandaker Reajul Islam, Jaya Kumar, Muhammad E. H. Chowdhury. access, 13:121512-121532, 2025. [doi]

Automated detection of posterior urethral valves in voiding cystourethrography images: A novel AI-Based pipeline for enhanced diagnosis and classificationSaidul Kabir, Rusab Sarmun, Elias Ramírez-Velázquez, Anil Takvani, Mansour Ali, Muhammad E. H. Chowdhury, Tariq O. Abbas. cbm, 185:109509, 2025. [doi]

Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction DetectionMamun-Or-Rashid, Md. Mosarrof Hossen, Mohammad Nashbat, Mazhar Hasan-Zia, Ali K. Ansaruddin Kunju, Amith Khandakar, Azad Ashraf, Molla E. Majid, Saad Bin Abul Kashem, Muhammad E. H. Chowdhury. access, 13:42322-42335, 2025. [doi]

An Ensemble Deep Learning Approach for Accurate Urinary Sediment Detection Using YOLOv9e and KD-YOLOX-ViTMansura Naznine, Abdus Salam, Muhammad Mohsin Khan, Sadia Farhana Nobi, Muhammad E. H. Chowdhury. access, 13:101934-101954, 2025. [doi]

MSEUnet: Refined Intima-media segmentation of the carotid artery based on a multi-scale approach using patch-wise dice lossNajmath Ottakath, Younes Akbari, Somaya Al-Máadeed, Muhammad E. H. Chowdhury, Susu M. Zughaier, Ahmed Bouridane, Kishor Kumar Sadasivuni. bspc, 100:107077, 2025. [doi]

A novel classical machine learning framework for early sepsis prediction using electronic health record data from ICU patientsJohayra Prithula, Khandaker Reajul Islam, Jaya Kumar, Toh Leong Tan, Mamun Bin Ibne Reaz, Tawsifur Rahman, Susu M. Zughaier, Muhammad Salman Khan 0001, M. Murugappan, Muhammad E. H. Chowdhury. cbm, 184:109284, 2025. [doi]

Deep learning-driven segmentation of ischemic stroke lesions using multi-channel MRIAshiqur Rahman, Muhammad E. H. Chowdhury, Md Sharjis Ibne Wadud, Rusab Sarmun, Adam Mushtak, Sohaib Bassam Zoghoul, Israa Al-Hashimi. bspc, 105:107676, 2025. [doi]

Optimizing energy efficiency through precise occupancy detection: A tailored CNN architecture for smart buildings and beyondAya Nabil Sayed, Sakib Mahmud, Faycal Bensaali, Muhammad E. H. Chowdhury, Yassine Himeur. nca, 37(21):16487-16503, July 2025. [doi]

A novel 1D generative adversarial network-based framework for atrial fibrillation detection using restored wrist photoplethysmography signalsFaizul Rakib Sayem, Mosabber Uddin Ahmed, Saadia Binte Alam, Sakib Mahmud, Md. Mamun Sheikh, Abdulrahman Alqahtani, Md. Ahasan Atick Faisal, Muhammad E. H. Chowdhury. bspc, 101:107233, 2025. [doi]

YOLO-SAIL: Attention-Enhanced YOLOv5 With Optimized Bi-FPN for Ship Target Detection in SAR ImagesPrabu Selvam, P. Shanmuga Sundari, M. Tamilselvi, T. Suresh, M. Murugappan, Muhammad E. H. Chowdhury. access, 13:29523-29540, 2025. [doi]

Glioma Grade Classification: Hypertuned CNN With Saliency-Based Insight From MRIKhondakar A. Shahriar, Enamul Hoque Bhuiyan, Md. Forhad Hossain, Rakibur Rahman, Muhammad E. H. Chowdhury. access, 13:108093-108107, 2025. [doi]

Machine learning for predicting outcomes of transcatheter aortic valve implantation: A systematic reviewRuba Sulaiman, Md. Ahasan Atick Faisal, Maram Hasan, Muhammad E. H. Chowdhury, Faycal Bensaali, Abdulrahman Alnabti, Huseyin Cagatay Yalcin. ijmi, 197:105840, 2025. [doi]

Multiclass ensemble framework for enhanced prostate gland Segmentation: Integrating Self-ONN decoders with EfficientNetMd. Shaheenur Islam Sumon, Muhammad E. H. Chowdhury, Enamul Hoque Bhuiyan, Md. Sohanur Rahman, Muntakim Mahmud Khan, Israa Al-Hashimi, Adam Mushtak, Sohaib Bassam Zoghoul. cbm, 193:110459, 2025. [doi]

Self-CephaloNet: a two-stage novel framework using operational neural network for cephalometric analysisMd. Shaheenur Islam Sumon, Khandaker Reajul Islam, Md Sakib Abrar Hossain, Tanzila Rafique, Ranjit Ghosh, Gazi Shamim Hassan, Kanchon Kanti Podder, Noha Barhom, Faleh Tamimi, Muhammad E. H. Chowdhury. nca, 37(16):9777-9805, June 2025. [doi]

CardioTabNet: a novel hybrid transformer model for heart disease prediction using tabular medical dataMd. Shaheenur Islam Sumon, Md. Sakib Bin Islam, Md. Sohanur Rahman, Md Sakib Abrar Hossain, Amith Khandakar, Anwarul Hasan, M. Murugappan, Muhammad E. H. Chowdhury. hisas, 13(1):44, December 2025. [doi]

SER inspired deep learning approach to detect cardiac arrhythmias in electrocardiogram signals using Temporal Convolutional Network and graph neural networkSamin Yaser, Muhammad E. H. Chowdhury, Rusab Sarmun. cbm, 195:110536, 2025. [doi]

2024

Automated Colorectal Polyps Detection from Endoscopic Images using MultiResUNet Framework with Attention Guided SegmentationMD. Faysal Ahamed, Md. Rabiul Islam 0001, Md. Nahiduzzaman, Muhammad E. H. Chowdhury, Abdulrahman Alqahtani, M. Murugappan. hcisys, 4(2):299-315, June 2024. [doi]

Phonocardiogram Classification Based on 1D CNN with Pitch-Shifting and Signal Uniformity TechniquesZafar Ahmad, Muhammad Salman Khan 0001, Muhammad E. H. Chowdhury, Susu M. Zughaier, Wanis Hamad Ibrahim. eusipco 2024: 1536-1540 [doi]

FPGA Implementation of Complex-Valued Neural Network for Polar-Represented Image ClassificationMaruf Ahmad, Lei Zhang 0092, Muhammad E. H. Chowdhury. sensors, 24(3):897, February 2024. [doi]

A novel deep learning technique for morphology preserved fetal ECG extraction from mother ECG using 1D-CycleGANPromit 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. eswa, 235:121196, January 2024. [doi]

Deep learning in computed tomography pulmonary angiography imaging: A dual-pronged approach for pulmonary embolism detectionFabiha Bushra, Muhammad E. H. Chowdhury, Rusab Sarmun, Saidul Kabir, Menatalla Said, Sohaib Bassam Zoghoul, Adam Mushtak, Israa Al-Hashimi, Abdulrahman Alqahtani, Anwarul Hasan. eswa, 245:123029, 2024. [doi]

LGI-rPPG-Net: A shallow encoder-decoder model for rPPG signal estimation from facial video streamsMoajjem 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 0001, Amith Khandakar. bspc, 89:105687, 2024. [doi]

MMG-net: Multi modal approach to estimate blood glucose using multi-stream and cross modality attentionMoajjem Hossain Chowdhury, Muhammad E. H. Chowdhury, Abdulrahman Alqahtani. bspc, 92:105975, 2024. [doi]

An Early Warning Tool for Predicting Mortality Risk of COVID-19 Patients Using Machine LearningMuhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar, Somaya Al-Madeed, Susu M. Zughaier, Suhail A. R. Doi, Hanadi Hassen, Mohammad Tariqul Islam 0001. cogcom, 16(4):1778-1793, July 2024. [doi]

GearFaultNet: Novel Network for Automatic and Early Detection of Gearbox FaultsProma Dutta, Kanchon Kanti Podder, Md. Shaheenur Islam Sumon, Muhammad E. H. Chowdhury, Amith Khandakar, Nasser Al-Emadi, Moajjem Hossain Chowdhury, M. Murugappan, Mohamed Arselene Ayari, Sakib Mahmud, S. M. Muyeen. access, 12:188755-188765, 2024. [doi]

Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and PerspectivesBillel Essaid, Hamza Kheddar, Noureddine Batel, Muhammad E. H. Chowdhury, Abderrahmane Lakas. access, 12:119015-119038, 2024. [doi]

Robust and novel attention guided MultiResUnet model for 3D ground reaction force and moment prediction from foot kinematicsMd. Ahasan Atick Faisal, Sakib Mahmud, Muhammad E. H. Chowdhury, Amith Khandakar, Mosabber Uddin Ahmed, Abdulrahman Alqahtani, Mohammed Alhatou. nca, 36(3):1105-1121, January 2024. [doi]

ExoventQ: A Novel Low-Cost Portable Negative Pressure Ventilator Design and ImplementationShahd Sameer Mohammed Gaben, Nada Abughanam, Nabil Ibtehaz, Sakib Mahmud, Ghada Al Noaimi, Abdulrahman Alqahtani, Amith Khandakar, Muhammad E. H. Chowdhury. access, 12:61828-61847, 2024. [doi]

Cognitive Load Estimation Using a Hybrid Cluster-Based Unsupervised Machine Learning TechniqueIqbal Hassan, Monica Zolezzi, Hanan Khalil, Rafif Mahmood Al Saady, Shona Pedersen, Muhammad E. H. Chowdhury. access, 12:118785-118801, 2024. [doi]

A Reliable and Robust Deep Learning Model for Effective Recyclable Waste ClassificationMd. 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. access, 12:13809-13821, 2024. [doi]

Classification and segmentation of kidney MRI images for chronic kidney disease detectionMd. Sakib Bin Islam, Md. Shaheenur Islam Sumon, Rusab Sarmun, Enamul Haque Bhuiyan, Muhammad E. H. Chowdhury. cee, 119:109613, 2024. [doi]

The utility of a deep learning-based approach in Her-2/neu assessment in breast cancerSaidul Kabir, Semir Vranic, Rafif Mahmood Al Saady, Muhammad Salman Khan, Rusab Sarmun, Abdulrahman Alqahtani, Tariq O. Abbas, Muhammad E. H. Chowdhury. eswa, 238(Part C):122051, March 2024. [doi]

Surround-Screen Mobile Based Projection: Design and Implementation of Mobile Cave Virtual RealityAbdel Ghani Karkar, Muhammad E. H. Chowdhury, Naveed Nawaz, Somaya Al-Máadeed. access, 12:45094-45101, 2024. [doi]

A novel approach for Parkinson's disease detection using Vold-Kalman order filtering and machine learning algorithmsFatma Latifoglu, Sultan Penekli, Firat Orhanbulucu, Muhammad E. H. Chowdhury. nca, 36(16):9297-9311, June 2024. [doi]

Restoration of motion-corrupted EEG signals using attention-guided operational CycleGANSakib Mahmud, Muhammad E. H. Chowdhury, Serkan Kiranyaz, Nasser Al-Emadi, Anas M. Tahir, Md. Shafayet Hossain, Amith Khandakar, Somaya Al-Máadeed. eaai, 128:107514, 2024. [doi]

Restoration of magnetohydrodynamic-corrupted 12-lead electrocardiogram to enhance cardiac monitoring during magnetic resonance imagingSakib Mahmud, Muhammad E. H. Chowdhury, Moajjem Hossain Chowdhury, Abdulrahman Alqahtani, Zaid Bin Mahbub, Faycal Bensaali, Serkan Kiranyaz. eaai, 133:108483, 2024. [doi]

Automated grading of prenatal hydronephrosis severity from segmented kidney ultrasounds using deep learningSakib 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. eswa, 255:124594, 2024. [doi]

Wearable wrist to finger photoplethysmogram translation through restoration using super operational neural networks based 1D-CycleGAN for enhancing cardiovascular monitoringSakib Mahmud, Muhammad E. H. Chowdhury, Serkan Kiranyaz, Malisha Islam Tapotee, Purnata Saha, Anas M. Tahir, Amith Khandakar, Abdulrahman Alqahtani. eswa, 246:123167, 2024. [doi]

Assessing the Effects of Music on Anxiety and Performance in Tasks Using Heart Rate Variability and Mean Arterial PressureM. Nithya Mylakumar, B. Geethanjali, Jagannath Mohan, Raamanarayanan AnanthaNarayanan, M. Murugappan, Muhammad E. H. Chowdhury. access, 12:143823-143841, 2024. [doi]

Bi-attention DoubleUNet: A deep learning approach for carotid artery segmentation in transverse view images for non-invasive stenosis diagnosisNajmath Ottakath, Younes Akbari, Sumaya Ali S. A. Al-Máadeed, Ahmed Bouridane, Susu M. Zughaier, Muhammad E. H. Chowdhury. bspc, 94:106350, 2024. [doi]

TB-CXRNet: Tuberculosis and Drug-Resistant Tuberculosis Detection Technique Using Chest X-ray ImagesTawsifur 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. cogcom, 16(3):1393-1412, May 2024. [doi]

Machine learning-based prognostic model for 30-day mortality prediction in Sepsis-3Md. Sohanur Rahman, Khandaker Reajul Islam, Johayra Prithula, Jaya Kumar, Mufti Mahmud, Mohammed Fasihul Alam, Mamun Bin Ibne Reaz, Abdulrahman Alqahtani, Muhammad E. H. Chowdhury. midm, 24(1):249, December 2024. [doi]

Novel multimodal emotion detection method using Electroencephalogram and Electrocardiogram signalsPurnata 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. bspc, 92:106002, 2024. [doi]

Enhancing Bearing Fault Diagnosis Using Transfer Learning and Random Forest Classification: A Comparative Study on Variable Working ConditionsDurjay Saha, Md. Emdadul Hoque, Muhammad E. H. Chowdhury. access, 12:5986-6000, 2024. [doi]

Innovative Deep Learning Architecture for the Classification of Lung and Colon Cancer From Histopathology ImagesMenatalla Said, Md. Sakib Bin Islam, Md. Shaheenur Islam Sumon, Semir Vranic, Rafif Mahmood Al Saady, Abdulrahman Alqahtani, Muhammad E. H. Chowdhury, Shona Pedersen. acisc, 2024, 2024. [doi]

Embedded System-Based Malaria Detection From Blood Smear Images Using Lightweight Deep Learning ModelAbdus Salam, S. M. Nahid Hasan, Md. Jawadul Karim, Shamim Anower, Md. Nahiduzzaman, Muhammad E. H. Chowdhury, M. Murugappan. imst, 34(6), 2024. [doi]

Mulberry Leaf Disease Detection Using CNN-Based Smart Android ApplicationAbdus Salam, Mansura Naznine, Nusrat Jahan, Emama Nahid, Md. Nahiduzzaman, Muhammad E. H. Chowdhury. access, 12:83575-83588, 2024. [doi]

Enhancing intima-media complex segmentation with a multi-stage feature fusion-based novel deep learning frameworkRusab Sarmun, Saidul Kabir, Johayra Prithula, Abdulrahman Alqahtani, Sohaib Bassam Zoghoul, Israa Al-Hashimi, Adam Mushtak, Muhammad E. H. Chowdhury. eaai, 133:108050, 2024. [doi]

Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved LocalizationRusab Sarmun, Muhammad E. H. Chowdhury, M. Murugappan, Ahmed Aqel, Maymouna Ezzuddin, Syed Mahfuzur Rahman, Amith Khandakar, Sanzida Akter, Rashad Alfkey, Anwarul Hasan. cogcom, 16(3):1413-1431, May 2024. [doi]

QU-GM: An IoT Based Glucose Monitoring System From Photoplethysmography, Blood Pressure, and Demographic Data Using Machine LearningMd 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. access, 12:77774-77790, 2024. [doi]

Improving MRI Resolution: A Cycle Consistent Generative Adversarial Network-Based Approach for 3T to 7T TranslationZakaria 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. access, 12:116498-116515, 2024. [doi]

Enhance data availability and network consistency using artificial neural network for IoTMujahid Tabassum, Sundresan Perumal, Saad Bin Abdul Kashem, Ponnan Suresh, Chinmay Chakraborty, Muhammad E. H. Chowdhury, Amith Khandakar. mta, 83(1):3111-3131, January 2024. [doi]

M2ECG: Wearable Mechanocardiograms to Electrocardiogram Estimation Using Deep LearningMalisha Islam Tapotee, Purnata Saha, Sakib Mahmud, Abdulrahman Alqahtani, Muhammad E. H. Chowdhury. access, 12:12963-12975, 2024. [doi]

2023

PCovNet+: A CNN-VAE anomaly detection framework with LSTM embeddings for smartwatch-based COVID-19 detectionFarhan Fuad Abir, Muhammad E. H. Chowdhury, Malisha Islam Tapotee, Adam Mushtak, Amith Khandakar, Sakib Mahmud, Anwarul Hasan. eaai, 122:106130, 2023. [doi]

IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation TechniquesMD. Faysal Ahamed, Md. Khalid Syfullah, Ovi Sarkar, Md. Tohidul Islam, Md. Nahiduzzaman, Md. Rabiul Islam 0001, Amith Khandakar, Mohamed Arselene Ayari, Muhammad E. H. Chowdhury. sensors, 23(18):7724, September 2023. [doi]

EOG-Based Reading Detection in the Wild Using Spectrograms and Nested Classification ApproachSriman Bidhan Baray, Mosabber Uddin Ahmed, Muhammad E. H. Chowdhury, Koichi Kise. access, 11:105619-105632, 2023. [doi]

A Novel Approach to Monitor Head Movement Inside an MR Scanner Using Voltages Induced in Coils by Time-Varying GradientsEnamul Haque Bhuiyan, Muhammad E. H. Chowdhury, Paul Glover. access, 11:107004-107018, 2023. [doi]

Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural NetworksMoncef Gabbouj, Serkan Kiranyaz, Junaid Malik, Muhammad Uzair Zahid, Turker Ince, Muhammad E. H. Chowdhury, Amith Khandakar, Anas Tahir. tnn, 34(11):9363-9374, November 2023. [doi]

Deep Learning Framework for Liver Segmentation from T1-Weighted MRI ImagesMd Sakib Abrar Hossain, Sidra Gul, Muhammad E. H. Chowdhury, Muhammad Salman Khan 0001, Md. Shaheenur Islam Sumon, Enamul Haque Bhuiyan, Amith Khandakar, Muhammad Maqsud Hossain, Abdus Sadique, Israa Al-Hashimi, Mohamed Arselene Ayari, Sakib Mahmud, Abdulrahman Alqahtani. sensors, 23(21):8890, November 2023. [doi]

Plant Disease Classifier: Detection of Dual-Crop Diseases Using Lightweight 2D CNN ArchitectureHasibul 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. access, 11:110627-110643, 2023. [doi]

Signer-Independent Arabic Sign Language Recognition System Using Deep Learning ModelKanchon 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. sensors, 23(16):7156, August 2023. [doi]

Deep Learning Technique for Congenital Heart Disease Detection Using Stacking-Based CNN-LSTM Models From Fetal Echocardiogram: A Pilot StudyTawsifur Rahman, Mahmoud Khatib A. A. Al-Ruweidi, Md. Shaheenur Islam Sumon, Reema Youssef Kamal, Muhammad E. H. Chowdhury, Huseyin Cagatay Yalcin. access, 11:110375-110390, 2023. [doi]

Fetal ECG extraction from maternal ECG using deeply supervised LinkNet++ modelArafat Rahman, Sakib Mahmud, Muhammad E. H. Chowdhury, Huseyin Cagatay Yalcin, Amith Khandakar, Onur Mutlu, Zaid Bin Mahbub, Reema Youssef Kamal, Shona Pedersen. eaai, 123(Part C):106414, 2023. [doi]

2019

Reference Layer Artefact Subtraction (RLAS): Electromagnetic SimulationsMuhammad E. H. Chowdhury, Amith Khandakar, Karen J. Mullinger, Belayat Hossain, Nasser Al-Emadi, Andre Antunes, Richard Bowtell. access, 7:17882-17895, 2019. [doi]

2018

Exploring the origins of EEG motion artefacts during simultaneous fMRI acquisition: Implications for motion artefact correctionGlyn S. Spencer, James A. Smith, Muhammad E. H. Chowdhury, Richard Bowtell, Karen J. Mullinger. neuroimage, 173:188-198, 2018. [doi]

2014

Reference layer artefact subtraction (RLAS): A novel method of minimizing EEG artefacts during simultaneous fMRIMuhammad E. H. Chowdhury, Karen J. Mullinger, Paul Glover, Richard Bowtell. neuroimage, 84:307-319, 2014. [doi]

Corrigendum to "Reference layer artefact subtraction (RLAS): A novel method of minimizing EEG artefacts during simultaneous fMRI" [Neuroimage 84 (2014) 307-319]Muhammad E. H. Chowdhury, Karen J. Mullinger, Paul Glover, Richard Bowtell. neuroimage, 98:547, 2014. [doi]

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