Utku Ozbulak
Scholar

Utku Ozbulak

Google Scholar ID: GHrR4TAAAAAJ
Research Professor at Ghent University
Trustworthy AIMedical imagingBiomedical imagingSelf-supervised learning
Citations & Impact
All-time
Citations
334
 
H-index
8
 
i10-index
7
 
Publications
20
 
Co-authors
25
list available
Resume (English only)
Academic Achievements
  • Published 13 first-author and 5 last/corresponding-author papers in top-tier venues.
  • GitHub repositories have accumulated 9,440 stars and 1,684 forks.
  • Notable publications include:
  • — 'SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-world Breast MRI Classification' (MICCAI 2025)
  • — 'When Tracking Fails: Analyzing Failure Modes of SAM2 for Point-Based Tracking in Surgical Videos' (MICCAI COLAS Workshop 2025)
  • — 'Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2' (MICCAI Deep Breath Workshop 2025)
  • — 'Color Flow Imaging Microscopy Improves Identification of Stress Sources of Protein Aggregates in Biopharmaceuticals' (MICCAI MOVI Workshop 2024)
  • — 'Assessing the Reliability of Point Mutation as Data Augmentation for Deep Learning with Genomic Data' (BMC Bioinformatics, Q1, 2024)
  • — 'Mutate and Observe: Utilizing Deep Neural Networks to Investigate the Impact of Mutations on Translation Initiation' (Bioinformatics, Oxford Press, Q1, 2023)
Research Experience
  • 2025–Present: Adjunct Professor, George Mason University Korea, South Korea
  • 2023–Present: Research Professor, Ghent University Global Campus, South Korea
  • 2022–2023: Postdoctoral Fellow, Ghent University Global Campus, South Korea
  • 2017–2022: AI Researcher, Ghent University Global Campus, South Korea
  • 2015–2016: SAP Business Intelligence Consultant, The Coca-Cola Company, Turkey
  • 2014–2015: SAP Business Intelligence Consultant, Turkish Airlines, Turkey