Utku Özbulak

Michaela Cohrs (UGent) , Shiwoo Koak, Yejin Lee, Yu Jin Sung, Wesley De Neve (UGent) , Hristo Svilenov (UGent) and Utku Özbulak (UGent)

(2025) MEDICAL OPTICAL IMAGING AND VIRTUAL MICROSCOPY IMAGE ANALYSIS, MOVI 2024. In Lecture Notes in Computer Science 15371. p.86-96

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Exploring patient data requirements in training effective AI models for MRI-based breast cancer classification

Solha Kang (UGent) , Wesley De Neve (UGent) , Francois Rameau and Utku Özbulak (UGent)

(2025) ARTIFICIAL INTELLIGENCE AND IMAGING FOR DIAGNOSTIC AND TREATMENT CHALLENGES IN BREAST CARE, DEEP-BREATH 2024. In Lecture Notes in Computer Science 15451. p.75-84

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Identifying critical tokens for accurate predictions in transformer-based medical imaging models

Solha Kang (UGent) , Joris Vankerschaver (UGent) and Utku Özbulak (UGent)

(2024) Machine learning in medical imaging : 15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, Part II. In Lecture notes in computer science ((LNCS) 15242. p.169-179

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Assessing the reliability of point mutation as data augmentation for deep learning with genomic data

Hyunjung Lee, Utku Özbulak (UGent) , Homin Park (UGent) , Stephen Depuydt (UGent) , Wesley De Neve (UGent) and Joris Vankerschaver (UGent)

(2024) BMC BIOINFORMATICS. 25(1).

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Know your self-supervised learning : a survey on image-based generative and discriminative training

Utku Özbulak (UGent) , Hyun Jung Lee (UGent) , Beril Boga, Esla Timothy Anzaku (UGent) , Homin Park (UGent) , Arnout Van Messem (UGent) , Wesley De Neve (UGent) and Joris Vankerschaver (UGent)

(2023) TRANSACTIONS ON MACHINE LEARNING RESEARCH.

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Tryp : a dataset of microscopy images of unstained thick blood smears for trypanosome detection

Esla Timothy Anzaku (UGent) , Mohammed Aliy Mohammed (UGent) , Utku Özbulak (UGent) , Jongbum Won, Hyesoo Hong, Janarthanan Krishnamoorthy, Sofie Van Hoecke (UGent) , Stefan Magez (UGent) , Arnout Van Messem (UGent) and Wesley De Neve (UGent)

(2023) SCIENTIFIC DATA. 10(1).

Academic Bibliography

Utku Özbulak

SpurBreast : a curated dataset for investigating spurious correlations in real-world breast MRI classification

When tracking fails : analyzing failure modes of SAM2 for point-based tracking in surgical videos

Step-by-step introductory notes on runtime optimization in bioinformatics : a case study on shared k-mers

Evaluating visual explanations of attention maps for transformer-based medical imaging

Color flow imaging microscopy improves identification of stress sources of protein aggregates in biopharmaceuticals

Exploring patient data requirements in training effective AI models for MRI-based breast cancer classification

Identifying critical tokens for accurate predictions in transformer-based medical imaging models

Assessing the reliability of point mutation as data augmentation for deep learning with genomic data

Know your self-supervised learning : a survey on image-based generative and discriminative training

Tryp : a dataset of microscopy images of unstained thick blood smears for trypanosome detection

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