Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization. - Tawsifur Rahman; Amith Khandakar; Muhammad Abdul Kadir; Khandaker Reajul Islam; Khandakar F. Islam; Rashid Mazhar; Tahir Hamid; Mohammad Tariqul Islam 001; Saad Bin Abul Kashem; Zaid Bin Mahbub; Mohamed Arselene Ayari; Muhammad Enamul Hoque Chowdhury (IEEE Access, 2020)

Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization. - Tawsifur Rahman; Amith Khandakar; Muhammad Abdul Kadir; Khandakar Reajul Islam; Khandaker F. Islam; Rashid Mazhar; Tahir Hamid; Mohammad Tariqul Islam 001; Zaid Bin Mahbub; Mohamed Arselene Ayari; Muhammad Enamul Hoque Chowdhury (CoRR, 2020)

Challenges Facing Faculty Members When Using a Learning Management System. - Emad A. Abu-Shanab; Jumana Samara; Mohamed Arselene Ayari (Int. J. Inf. Commun. Technol. Educ., 2020)

Brain MR Image Enhancement for Tumor Segmentation Using 3D U-Net. - Faizad Ullah; Shahab U. Ansari; Muhammad Hanif 001; Mohamed Arselene Ayari; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Muhammad Salman Khan 001 (Sensors, 2021)

Deep learning techniques for liver and liver tumor segmentation: A review. - Sidra Gul; Muhammad Salman Khan 001; Asima Bibi; Amith Khandakar; Mohamed Arselene Ayari; Muhammad Enamul Hoque Chowdhury (Comput. Biol. Medicine, 2022)

Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques. - 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; et al. (Sensors, 2022)

A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images. - 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 (Sensors, 2022)

Design and Implementation of a Smart Insole System to Measure Plantar Pressure and Temperature. - 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 (Sensors, 2022)

A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals. - 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 001; Muhammad Enamul Hoque Chowdhury (Sensors, 2022)

A Real Time Method for Distinguishing COVID-19 Utilizing 2D-CNN and Transfer Learning. - 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 (Sensors, 2023)

Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model. - 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 (Sensors, 2023)

IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques. - Md. Faysal Ahamed; Md. Khalid Syfullah; Ovi Sarkar; Md. Tohidul Islam; Md. Nahiduzzaman; Md. Rabiul Islam 001; Amith Khandakar; Mohamed Arselene Ayari; Muhammad E. H. Chowdhury (Sensors, 2023)

Deep Learning Framework for Liver Segmentation from T1-Weighted MRI Images. - Md Sakib Abrar Hossain; Sidra Gul; Muhammad E. H. Chowdhury; Muhammad Salman Khan 001; Md. Shaheenur Islam Sumon; Enamul Hoque Bhuiyan; Amith Khandakar; Muhammad Maqsud Hossain; Abdus Sadique; Israa Al-Hashimi; Mohamed Arselene Ayari; Sakib Mahmud; et al. (Sensors, 2023)

Automated Detection of Colorectal Polyp Utilizing Deep Learning Methods With Explainable AI. - Md. Faysal Ahamed; Md. Rabiul Islam 001; Md. Nahiduzzaman; Md. Jawadul Karim; Mohamed Arselene Ayari; Amith Khandakar (IEEE Access, 2024)

GearFaultNet: Novel Network for Automatic and Early Detection of Gearbox Faults. - Proma 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 (IEEE Access, 2024)

Smart aquaponics: An innovative machine learning framework for fish farming optimization. - Amith Khandakar; I. M. Elzein; Md. Nahiduzzaman; Mohamed Arselene Ayari; Azad Ibn Ashraf; Lino Korah; Alhareth Zyoud; Hassan Ali 002; Ahmed Badawi (Comput. Electr. Eng., 2024)

Harnessing Smartphone Sensors for Enhanced Road Safety: A Comprehensive Dataset and Review. - Amith Khandakar; David G. Michelson; Mansura Naznine; Abdus Salam; Md. Nahiduzzaman; Khaled M. Khan; Ponnuthurai Nagaratnam Suganthan; Mohamed Arselene Ayari; Hamid Menouar; Julfikar Haider (CoRR, 2024)

Detection of various gastrointestinal tract diseases through a deep learning method with ensemble ELM and explainable AI. - Md. Faysal Ahamed; Md. Nahiduzzaman; Md. Rabiul Islam 001; Mansura Naznine; Mohamed Arselene Ayari; Amith Khandakar; Julfikar Haider (Expert Syst. Appl., 2024)

A novel framework for lung cancer classification using lightweight convolutional neural networks and ridge extreme learning machine model with SHapley Additive exPlanations (SHAP). - Md. Nahiduzzaman; Lway Faisal Abdulrazak; Mohamed Arselene Ayari; Amith Khandakar; S. M. Riazul Islam (Expert Syst. Appl., 2024)

Interpretable deep learning architecture for gastrointestinal disease detection: A Tri-stage approach with PCA and XAI. - Md. Faysal Ahamed; Fariya Bintay Shafi; Md. Nahiduzzaman; Mohamed Arselene Ayari; Amith Khandakar (Comput. Biol. Medicine, 2025)

Compost maturity prediction and gas emissions monitoring: A sensor-based and interpretable machine learning approach. - Amith Khandakar; Azad Ibn Ashraf; Mohamed Arselene Ayari; Amin Esmaeili; Mohannad Aljarrah; Philips Michael; Md. Nahiduzzaman; Hafsa Binte Kibria; Vasiliki Maria Gerokosta; Abdul Ahad Shehbaz; Maryam Abdulla R. A Al-Mansoori; Farah Khattab (Comput. Electr. Eng., 2025)

An automated waste classification system using deep learning techniques: Toward efficient waste recycling and environmental sustainability. - Md. Nahiduzzaman; Md. Faysal Ahamed; Mansura Naznine; Md. Jawadul Karim; Hafsa Binte Kibria; Mohamed Arselene Ayari; Amith Khandakar; Azad Ashraf; Mominul Ahsan; Julfikar Haider (Knowl. Based Syst., 2025)