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researcher

P. Esfahanian

3 papers here

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

author position
  • first author1
  • middle author2

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

fields
  • cs.CV2
  • cs.NE1

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedGACNN: Training Deep Convolutional Neural Networks with Genetic Algorithm

9 citations · 9 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2026

Coronary Artery Segmentation and Vessel-Type Classification in X-Ray Angiography

Mehdi Yousefzadeh, Siavash Shirzadeh Barough, Ashkan Fakharifar +12

X-ray coronary angiography (XCA) is the clinical reference standard for assessing coronary artery disease, yet quantitative analysis is limited by the difficulty of robust vessel s…

cs.CV2025

GraphDerm: Fusing Imaging, Physical Scale, and Metadata in a Population-Graph Classifier for Dermoscopic Lesions

Mehdi Yousefzadeh, Parsa Esfahanian, Sara Rashidifar +5

Introduction. Dermoscopy aids melanoma triage, yet image-only AI often ignores patient metadata (age, sex, site) and the physical scale needed for geometric analysis. We present Gr…

cs.NE2019★ 9 cited

GACNN: Training Deep Convolutional Neural Networks with Genetic Algorithm

Parsa Esfahanian, Mohammad Akhavan

Convolutional Neural Networks (CNNs) have gained a significant attraction in the recent years due to their increasing real-world applications. Their performance is highly dependent…

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