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researcher

S. Mahmud

3 papers hereh-index 16627 citations52 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • eess.SP2
  • cs.CV1
same name
  • S. Mahmud — 3 papers, h 2
  • S. Mahmud — 3 papers, h 6
  • S. Mahmud — 2 papers, h 3
  • S. Mahmud — 2 papers, h 17
  • S. Mahmud — 2 papers, h 0
  • S. Mahmud — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedA Novel Deep Learning Technique for Morphology Preserved Fetal ECG Extraction from Mother ECG using 1D-CycleGAN

51 citations · 51 across the 1 of their papers we have counts for

collaborators

3 papers

cs.CV2025

CASR-Net: An Image Processing-focused Deep Learning-based Coronary Artery Segmentation and Refinement Network for X-ray Coronary Angiogram

Alvee Hassan, Rusab Sarmun, Muhammad E. H. Chowdhury +4

Early detection of coronary artery disease (CAD) is critical for reducing mortality and improving patient treatment planning. While angiographic image analysis from X-rays is a com…

eess.SP2023

A Novel 1D Generative Adversarial Network-based Framework for Atrial Fibrillation Detection using Restored Wrist Photoplethysmography Signals

Faizul Rakib Sayem, Mosabber Uddin Ahmed, Saadia Binte Alam +5

Atrial fibrillation (AF) increases the risk of stroke. Electrocardiogram (ECG) is used for AF detection, while photoplethysmography (PPG) is simple to use and appropriate for long-…

eess.SP2023★ 51 cited

A Novel Deep Learning Technique for Morphology Preserved Fetal ECG Extraction from Mother ECG using 1D-CycleGAN

Promit Basak, A. H. M Nazmus Sakib, Muhammad E. H. Chowdhury +6

Monitoring the electrical pulse of fetal heart through a non-invasive fetal electrocardiogram (fECG) can easily detect abnormalities in the developing heart to significantly reduce…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.