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Ulas Bagci

78 papers hereh-index 191.6k citations112 works total

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

author position
  • middle author18
  • last author54

Across the 72 of 78 papers where every author was matched, so the position is known.

fields
  • eess.IV44
  • cs.CV27
  • cs.LG2
  • cs.AI1
  • cs.CL1
  • cs.CY1
same name
  • Ulas Bagci — 24 papers, h 7
  • Ulas Bagci — 22 papers, h 2
  • Ulas Bagci — 21 papers, h 21
  • Ulas Bagci — 10 papers, h 7
  • Ulas Bagci — 9 papers, h 9
  • Ulas Bagci — 7 papers, h 13

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

activity
20212026
most citedTransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation

29 citations · 191 across the 76 of their papers we have counts for

collaborators
Showing 2026Show all

3 papers · 1 filter

cs.CV2026

Patient-Level, Leakage-Aware Deep Learning for Cross-Center Periapical Radiograph Classification

Md Jubaer Rahman, Ulas Bagci

Dental caries and endodontic disease are among the most common health conditions worldwide, and intraoral periapical radiographs are central to their detection, treatment planning,…

eess.IV2026

GazeRefine: Expert Gaze as a Test-Time Prompt for Training-Free Medical Image Segmentation

Mohammed Oussama Benyahia, Marouane Tliba, Mohamed Amine Kerkouri +10

Medical image segmentation remains difficult to scale because high-performing methods typically rely on dense expert annotations and task-specific training. We introduce GazeRefine…

cs.CL2026

Revisiting LLM Adaptation for 3D CT Report Generation: A Study of Scaling and Diagnostic Priors

Vanshali Sharma, Andrea M. Bejar, Halil Ertugrul Aktas +4

Recent advances in multimodal learning, including large language models (LLMs) and vision-language models (VLMs), have demonstrated strong adaptability to natural images. However,…

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