Anwarul Hasan

According to our database, Anwarul Hasan authored at least 13 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Machine-agnostic automated lumbar MRI segmentation using a cascaded model based on generative neurons.

Promit Basak, Rusab Sarmun, Saidul Kabir, Israa Al-Hashimi, Enamul Hoque Bhuiyan, Anwarul Hasan, Muhammad Salman Khan, Muhammad E. H. Chowdhury

Expert Syst. Appl., 2025

2024

Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization.

Rusab Sarmun, Muhammad E. H. Chowdhury, M. Murugappan, Ahmed Aqel, Maymouna Ezzuddin, Syed Mahfuzur Rahman, Amith Khandakar, Sanzida Akter, Rashad Alfkey, Anwarul Hasan

Cogn. Comput., May, 2024

Deep learning in computed tomography pulmonary angiography imaging: A dual-pronged approach for pulmonary embolism detection.

Fabiha Bushra, Muhammad E. H. Chowdhury, Rusab Sarmun, Saidul Kabir, Menatalla Said, Sohaib Bassam Zoghoul, Adam Mushtak, Israa Al-Hashimi, Abdulrahman Alqahtani, Anwarul Hasan

Expert Syst. Appl., 2024

Improving Pediatric Pneumonia Diagnosis with Adult Chest X-ray Images Utilizing Contrastive Learning and Embedding Similarity.

Mohammad Zunaed, Anwarul Hasan, Taufiq Hasan

CoRR, 2024

ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical Prior Probability Maps for Thoracic Disease Classification.

Md. Iqbal Hossain, Mohammad Zunaed, Md. Kawsar Ahmed, S. M. Jawwad Hossain, Anwarul Hasan, Taufiq Hasan

IEEE Access, 2024

2023

PCovNet+: A CNN-VAE anomaly detection framework with LSTM embeddings for smartwatch-based COVID-19 detection.

Farhan Fuad Abir, Muhammad E. H. Chowdhury, Malisha Islam Tapotee, Adam Mushtak, Amith Khandakar, Sakib Mahmud, Anwarul Hasan

Eng. Appl. Artif. Intell., 2023

An End-to-End Deep Learning Framework for Real-Time Denoising of Heart Sounds for Cardiac Disease Detection in Unseen Noise.

Shams Nafisa Ali, Samiul Based Shuvo, Muhammad Ishtiaque Sayeed Al-Manzo, Anwarul Hasan, Taufiq Hasan

IEEE Access, 2023

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

2021

A machine learning model for early detection of diabetic foot using thermogram images.

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

Comput. Biol. Medicine, 2021

2019

Wearable Real-Time Heart Attack Detection and Warning System to Reduce Road Accidents.

Muhammad Enamul Hoque Chowdhury, Khawla Alzoubi, Amith Khandakar, Ridab Khallifa, Rayaan Abouhasera, Sirine Koubaa, Rashid Ahmed, Anwarul Hasan

Sensors, 2019

Reactive Nitrogen Species Releasing Hydrogel for Enhanced Wound Healing.

Alap Ali Zahid, Rashid Ahmed, Syed Raza ur Rehman, Robin Augustine, Anwarul Hasan

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Graphene Oxide Loaded Hydrogel for Enhanced Wound Healing in Diabetic Patients.

Syed Raza ur Rehman, Robin Augustine, Alap Ali Zahid, Rashid Ahmed, Anwarul Hasan

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Growth factor releasing core-shell polymeric scaffolds for tissue engineering applications.

Robin Augustine, Alap Ali Zahid, Mian Wang, Thomas J. Webster, Anwarul Hasan

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019