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researcher

Pooria Ashrafian

2 papers hereh-index 224 citations2 works total

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

author position
  • first author1
  • middle author1

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

fields
  • cs.CV1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedVision-Language Synthetic Data Enhances Echocardiography Downstream Tasks

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

collaborators

2 papers

cs.CV2025

Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality

Milad Yazdani, Yasamin Medghalchi, Pooria Ashrafian +2

Deep learning models have emerged as a powerful tool for various medical applications. However, their success depends on large, high-quality datasets that are challenging to obtain…

eess.IV2024★ 1 cited

Vision-Language Synthetic Data Enhances Echocardiography Downstream Tasks

Pooria Ashrafian, Milad Yazdani, Moein Heidari +2

High-quality, large-scale data is essential for robust deep learning models in medical applications, particularly ultrasound image analysis. Diffusion models facilitate high-fideli…

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