Mohamed Arselene Ayari

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Chest Radiographs

Tumor Segmentation

Top Venues

Expert Syst. Appl.

Publications

Md. Faysal Ahamed, Md. Nahiduzzaman, Md. Rabiul Islam, Mansura Naznine, Mohamed Arselene Ayari, Amith Khandakar, Julfikar Haider
Detection of various gastrointestinal tract diseases through a deep learning method with ensemble ELM and explainable AI. Expert Syst. Appl. 256 (2024)
Md. Faysal Ahamed, Md. Rabiul Islam, Md. Nahiduzzaman, Md. Jawadul Karim, Mohamed Arselene Ayari, Amith Khandakar
Automated Detection of Colorectal Polyp Utilizing Deep Learning Methods With Explainable AI. IEEE Access 12 (2024)
Md. Nahiduzzaman, Lway Faisal Abdulrazak, Mohamed Arselene Ayari, Amith Khandakar, S. M. Riazul Islam
A novel framework for lung cancer classification using lightweight convolutional neural networks and ridge extreme learning machine model with SHapley Additive exPlanations (SHAP). Expert Syst. Appl. 248 (2024)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2022)
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) (2022)
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 (2022)
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) (2022)
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) (2022)
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) (2021)
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 (2020)
Emad A. Abu-Shanab, Jumana Samara, Mohamed Arselene Ayari
Challenges Facing Faculty Members When Using a Learning Management System. Int. J. Inf. Commun. Technol. Educ. 16 (4) (2020)
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 (2020)