Shams Nafisa Ali

Orcid: 0000-0002-5213-5463

According to our database1, Shams Nafisa Ali authored at least 11 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Phi-SegNet: Phase-Integrated Supervision for Medical Image Segmentation.
CoRR, January, 2026

2025
BabyBelt: A Low-Cost Wearable Uterine Contraction Monitoring Belt Using Velostat Sensors.
Proceedings of the 21st IEEE International Conference on Body Sensor Networks, 2025

2024
BUET Multi-disease Heart Sound Dataset: A Comprehensive Auscultation Dataset for Developing Computer-Aided Diagnostic Systems.
CoRR, 2024

A web-based mpox skin lesion detection system using state-of-the-art deep learning models considering racial diversity.
Biomed. Signal Process. Control., 2024

Benchmarking Deep Learning Frameworks for Automated Diagnosis of Ocular Toxoplasmosis: A Comprehensive Approach to Classification and Segmentation.
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.
IEEE Access, 2023

2022
Monkeypox Skin Lesion Detection Using Deep Learning Models: A Feasibility Study.
CoRR, 2022

2021
A Lightweight CNN Model for Detecting Respiratory Diseases From Lung Auscultation Sounds Using EMD-CWT-Based Hybrid Scalogram.
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.
IEEE Trans. Ind. Informatics, 2021

CardioXNet: A Novel Lightweight Deep Learning Framework for Cardiovascular Disease Classification Using Heart Sound Recordings.
IEEE Access, 2021

2020
CardioXNet: A Novel Lightweight CRNN Framework for Classifying Cardiovascular Diseases from Phonocardiogram Recordings.
CoRR, 2020


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