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Sepehr Salem Ghahfarokhi

3 papers hereh-index 18 citations3 works total

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

author position
  • first author2
  • middle author1

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

fields
  • cs.CV3

identity via Semantic Scholar / OpenAlex

most citedDeep learning for automated detection of breast cancer in deep ultraviolet fluorescence images with diffusion probabilistic model

10 citations · 10 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2026

NeuroGAN-3D: Enhancing Intrinsic Functional Brain Networks via High-Fidelity 3D Generative Super-Resolution

M. Moein Esfahani, Sepehr Salem Ghahfarokhi, Mohammed Alser +2

Recent advances in neuroimaging have deepened our understanding of the brain's complex functional and structural organization. Among these, functional Magnetic Resonance Imaging (f…

cs.CV2026

XMorph: Explainable Brain Tumor Analysis Via LLM-Assisted Hybrid Deep Intelligence

Sepehr Salem Ghahfarokhi, M. Moein Esfahani, Raj Sunderraman +2

Deep learning has significantly advanced automated brain tumor diagnosis, yet clinical adoption remains limited by interpretability and computational constraints. Conventional mode…

cs.CV2024★ 10 cited

Deep learning for automated detection of breast cancer in deep ultraviolet fluorescence images with diffusion probabilistic model

Sepehr Salem Ghahfarokhi, Tyrell To, Julie Jorns +3

Data limitation is a significant challenge in applying deep learning to medical images. Recently, the diffusion probabilistic model (DPM) has shown the potential to generate high-q…

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