Shams Nafisa Ali

According to our database, Shams Nafisa Ali authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

2024

A web-based mpox skin lesion detection system using state-of-the-art deep learning models considering racial diversity.

Shams Nafisa Ali, Md. Tazuddin Ahmed, Tasnim Jahan, Joydip Paul, S. M. Sakeef Sani, Nawsabah Noor, Anzirun Nahar Asma, Taufiq Hasan

Biomed. Signal Process. Control., 2024

Benchmarking Deep Learning Frameworks for Automated Diagnosis of Ocular Toxoplasmosis: A Comprehensive Approach to Classification and Segmentation.

Syed Samiul Alam, Samiul Based Shuvo, Shams Nafisa Ali, Fardeen Ahmed, Arbil Chakma, Yeong Min Jang

IEEE Access, 2024

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

Monkeypox Skin Lesion Detection Using Deep Learning Models: A Feasibility Study.

Shams Nafisa Ali, Md. Tazuddin Ahmed, Joydip Paul, Tasnim Jahan, S. M. Sakeef Sani, Nawsabah Noor, Taufiq Hasan

CoRR, 2022

2021

A Lightweight CNN Model for Detecting Respiratory Diseases From Lung Auscultation Sounds Using EMD-CWT-Based Hybrid Scalogram.

Samiul Based Shuvo, Shams Nafisa Ali, Soham Irtiza Swapnil, Taufiq Hasan, Mohammed Imamul Hassan Bhuiyan

IEEE J. Biomed. Health Informatics, 2021

CovTANet: A Hybrid Tri-Level Attention-Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans.

Tanvir Mahmud, Md. Jahin Alam, Sakib Chowdhury, Shams Nafisa Ali, Md Maisoon Rahman, Shaikh Anowarul Fattah, Mohammad Saquib

IEEE Trans. Ind. Informatics, 2021

CardioXNet: A Novel Lightweight Deep Learning Framework for Cardiovascular Disease Classification Using Heart Sound Recordings.

Samiul Based Shuvo, Shams Nafisa Ali, Soham Irtiza Swapnil, Mabrook S. Al-Rakhami, Abdu Gumaei

IEEE Access, 2021

2020

CardioXNet: A Novel Lightweight CRNN Framework for Classifying Cardiovascular Diseases from Phonocardiogram Recordings.

Samiul Based Shuvo, Shams Nafisa Ali, Soham Irtiza Swapnil

CoRR, 2020