Utku Ozbulak

According to our database, Utku Ozbulak authored at least 29 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-world Breast MRI Classification.

Jong Bum Won, Wesley De Neve, Joris Vankerschaver, Utku Ozbulak

CoRR, October, 2025

When Tracking Fails: Analyzing Failure Modes of SAM2 for Point-Based Tracking in Surgical Videos.

Woowon Jang, Jiwon Im, Juseung Choi, Niki Rashidian, Wesley De Neve, Utku Ozbulak

CoRR, October, 2025

Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding.

Solha Kang, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem, Joris Vankerschaver, François Rameau, Utku Ozbulak

CoRR, September, 2025

Improved Sub-Visible Particle Classification in Flow Imaging Microscopy via Generative AI-Based Image Synthesis.

Utku Ozbulak, Michaela Cohrs, Hristo L. Svilenov, Joris Vankerschaver, Wesley De Neve

CoRR, August, 2025

One Patient's Annotation is Another One's Initialization: Towards Zero-Shot Surgical Video Segmentation with Cross-Patient Initialization.

Seyed Amir Mousavi, Utku Ozbulak, Francesca Tozzi, Nikdokht Rashidian, Wouter Willaert, Joris Vankerschaver, Wesley De Neve

CoRR, March, 2025

Less is More? Revisiting the Importance of Frame Rate in Real-Time Zero-Shot Surgical Video Segmentation.

Utku Ozbulak, Seyed Amir Mousavi, Francesca Tozzi, Nikdokht Rashidian, Wouter Willaert, Wesley De Neve, Joris Vankerschaver

CoRR, February, 2025

SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-World Breast MRI Classification.

Jongbum Won, Wesley De Neve, Joris Vankerschaver, Utku Ozbulak

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Revisiting the Evaluation Bias Introduced by Frame Sampling Strategies in Surgical Video Segmentation Using SAM2.

Utku Ozbulak, Seyed Amir Mousavi, Francesca Tozzi, Niki Rashidian, Wouter Willaert, Wesley De Neve, Joris Vankerschaver

Proceedings of the Fairness of AI in Medical Imaging - Third International Workshop, 2025

Balancing Redundancy and Diversity: An In-Depth Analysis of Active Learning for Laparoscopic Video Segmentation.

Seyed Amir Mousavi, Esla Timothy Anzaku, Utku Ozbulak, Robbe De Muynck, Francesca Tozzi, Nikdokht Rashidian, Wouter Willaert, Wesley De Neve

Proceedings of the Data Engineering in Medical Imaging - Third MICCAI Workshop, 2025

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2.

Solha Kang, Eugene Kim, Joris Vankerschaver, Utku Ozbulak

Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2025

2024

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

Hyun Jung Lee, Utku Ozbulak, Homin Park, Stephen Depuydt, Wesley De Neve, Joris Vankerschaver

BMC Bioinform., December, 2024

Identifying Critical Tokens for Accurate Predictions in Transformer-Based Medical Imaging Models.

Solha Kang, Joris Vankerschaver, Utku Ozbulak

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Exploring Patient Data Requirements in Training Effective AI Models for MRI-Based Breast Cancer Classification.

Solha Kang, Wesley De Neve, François Rameau, Utku Ozbulak

Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2024

Color Flow Imaging Microscopy Improves Identification of Stress Sources of Protein Aggregates in Biopharmaceuticals.

Michaela Cohrs, Shiwoo Koak, Yejin Lee, Yu Jin Sung, Wesley De Neve, Hristo L. Svilenov, Utku Ozbulak

Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2024

Evaluating Visual Explanations of Attention Maps for Transformer-Based Medical Imaging.

Minjae Chung, Jong Bum Won, Ganghyun Kim, Yujin Kim, Utku Ozbulak

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops, 2024

Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets?

Utku Ozbulak, Esla Timothy Anzaku, Solha Kang, Wesley De Neve, Joris Vankerschaver

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training.

Utku Ozbulak, Hyun Jung Lee, Beril Boga, Esla Timothy Anzaku, Ho-min Park, Arnout Van Messem, Wesley De Neve, Joris Vankerschaver

Trans. Mach. Learn. Res., 2023

BRCA Gene Mutations in dbSNP: A Visual Exploration of Genetic Variants.

Woowon Jang, Shiwoo Koak, Jiwon Im, Utku Ozbulak, Joris Vankerschaver

CoRR, 2023

2022

Utilizing Mutations to Evaluate Interpretability of Neural Networks on Genomic Data.

Utku Ozbulak, Solha Kang, Jasper Zuallaert, Stephen Depuydt, Joris Vankerschaver

CoRR, 2022

Exact Feature Collisions in Neural Networks.

Utku Ozbulak, Manvel Gasparyan, Shodhan Rao, Wesley De Neve, Arnout Van Messem

CoRR, 2022

2021

Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems.

Utku Ozbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve

Comput. Vis. Image Underst., 2021

Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes.

Utku Ozbulak, Maura Pintor, Arnout Van Messem, Wesley De Neve

CoRR, 2021

Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks.

Utku Ozbulak, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Perturbation analysis of gradient-based adversarial attacks.

Utku Ozbulak, Manvel Gasparyan, Wesley De Neve, Arnout Van Messem

Pattern Recognit. Lett., 2020

Regional Image Perturbation Reduces L_p Norms of Adversarial Examples While Maintaining Model-to-model Transferability.

Utku Ozbulak, Jonathan Peck, Wesley De Neve, Bart Goossens, Yvan Saeys, Arnout Van Messem

CoRR, 2020

Automatic Detection of Trypanosomosis in Thick Blood Smears Using Image Pre-processing and Deep Learning.

Taewoo Jung, Esla Timothy Anzaku, Utku Özbulak, Stefan Magez, Arnout Van Messem, Wesley De Neve

Proceedings of the Intelligent Human Computer Interaction - 12th International Conference, 2020

2019

Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation.

Utku Ozbulak, Arnout Van Messem, Wesley De Neve

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding.

Utku Ozbulak, Arnout Van Messem, Wesley De Neve

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

How the Softmax Output is Misleading for Evaluating the Strength of Adversarial Examples.

Utku Ozbulak, Wesley De Neve, Arnout Van Messem

CoRR, 2018