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Yevgeniy R. Semenov

4 papers hereh-index 10300 citations84 works total

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

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • q-bio.GN1
same name
  • Yevgeniy R. Semenov — 1 paper
  • Yevgeniy R. Semenov — 1 paper, h 7

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 citedMulti-Modal Foundation Models for Computational Pathology: A Survey

3 citations · 4 across the 3 of their papers we have counts for

collaborators

4 papers

q-bio.GN2026

DNA Methylation Profiling in Melanoma: From Lesion Classification to Therapeutic Stratification

Jana T. Winterstein, Lukas Heinlein, Günter Raddatz +34

DNA methylation provides a stable record of cellular identity, capturing epigenetic programs that distinguish specialized cell states despite a shared genome. Because malignant tra…

cs.CV2025★ 1 cited

RadGame: An AI-Powered Platform for Radiology Education

Mohammed Baharoon, Siavash Raissi, John S. Jun +29

We introduce RadGame, an AI-powered gamified platform for radiology education that targets two core skills: localizing findings and generating reports. Traditional radiology traini…

cs.CV2025★ 3 cited

Multi-Modal Foundation Models for Computational Pathology: A Survey

Dong Li, Guihong Wan, Xintao Wu +7

Foundation models have emerged as a powerful paradigm in computational pathology (CPath), enabling scalable and generalizable analysis of histopathological images. While early deve…

cs.CV2025

A Survey on Computational Pathology Foundation Models: Datasets, Adaptation Strategies, and Evaluation Tasks

Dong Li, Guihong Wan, Xintao Wu +6

Computational pathology foundation models (CPathFMs) have emerged as a powerful approach for analyzing histopathological data, leveraging self-supervised learning to extract robust…

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