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Y. Wang

4 papers hereh-index 6769 citations9 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 4 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.CV1
  • eess.IV1
  • q-bio.QM1
same name
  • Y. Wang — 174 papers, h 7
  • Y. Wang — 128 papers, h 5
  • Y. Wang — 76 papers, h 5
  • Y. Wang — 75 papers, h 9
  • Y. Wang — 67 papers, h 3
  • Y. Wang — 65 papers, h 6

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 citedVirchow: A Million-Slide Digital Pathology Foundation Model

57 citations · 57 across the 1 of their papers we have counts for

collaborators

4 papers

eess.IV2026★ 57 cited

Virchow: A Million-Slide Digital Pathology Foundation Model

Eugene Vorontsov, Alican Bozkurt, Adam Casson +28

The use of artificial intelligence to enable precision medicine and decision support systems through the analysis of pathology images has the potential to revolutionize the diagnos…

cs.CL2026

BioELX: Cross-lingual Biomedical Entity Linking via Alias-based Retrieval and LLM Ranking

Yi Wang, Corina Dima, Liangyu Zhong +1

Cross-lingual biomedical entity linking (BEL) maps mentions in any language to unique identifiers in a biomedical knowledge base (KB), supporting clinical and biomedical NLP applic…

cs.CV2025

PRISM2: Unlocking Multi-Modal General Pathology AI with Clinical Dialogue

Eugene Vorontsov, George Shaikovski, Adam Casson +16

Recent rapid progress in the field of computational pathology has been enabled by foundation models. These models are beginning to move beyond encoding image patches towards whole-…

q-bio.QM2025

Screen Them All: High-Throughput Pan-Cancer Genetic and Phenotypic Biomarker Screening from H&E Whole Slide Images

Yi Kan Wang, Ludmila Tydlitatova, Jeremy D. Kunz +15

Molecular assays are standard of care for detecting genomic alterations in cancer prognosis and therapy selection but are costly, tissue-destructive and time-consuming. Artificial…

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