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researcher

Ulas Bagci

16 papers hereh-index 211 citations20 works total

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

author position
  • middle author4
  • last author11

Across the 15 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CV11
  • eess.IV3
  • cs.AI1
  • cs.CL1
same name
  • Ulas Bagci — 45 papers, h 19
  • Ulas Bagci — 14 papers, h 7
  • Ulas Bagci — 4 papers, h 3
  • Ulas Bagci — 3 papers, h 9
  • Ulas Bagci — 2 papers, h 2
  • Ulas Bagci — 2 papers, h 2

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

works on
3d vision 1benchmark 1medical imaging 1multimodal large language models 1spatial reasoning 1

From the 1 of 16 linked papers with an AI index.

most citedCTest-Metric: A Unified Framework to Assess Clinical Validity of Metrics for CT Report Generation

1 citations · 1 across the 10 of their papers we have counts for

collaborators
Showing eess.IVShow all

3 papers · 1 filter

eess.IV2026

BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization

Hongyi Pan, Gorkem Durak, Halil Ertugrul Aktas +18

Breast density classification is a critical component of breast cancer risk assessment, yet AI models often struggle to generalize across clinical sites due to vendor-specific acqu…

eess.IV2026

LUMINA: A Multi-Vendor Mammography Benchmark with Energy Harmonization Protocol

Hongyi Pan, Gorkem Durak, Halil Ertugrul Aktas +9

Publicly available full-field digital mammography (FFDM) datasets remain limited in size, clinical annotations, and vendor diversity, hindering the development of robust models. We…

eess.IV2025

MammoClean: Toward Reproducible and Bias-Aware AI in Mammography through Dataset Harmonization

Yalda Zafari, Hongyi Pan, Gorkem Durak +3

The development of clinically reliable artificial intelligence (AI) systems for mammography is hindered by profound heterogeneity in data quality, metadata standards, and populatio…

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