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ORCIDUtku Ozbulak
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2020 – today
- 2026
[j7]Utku Ozbulak
, Solha Kang, Wesley De Neve, Joris Vankerschaver:
Token-based fidelity scoring for trustworthy vision transformer interpretations in medical imaging. Int. J. Comput. Assist. Radiol. Surg. 21(5): 1141-1149 (2026)- [j6]Solha Kang, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem, Joris Vankerschaver, François Rameau, Utku Ozbulak:
Token-Based Detection of Spurious Correlations in Vision Transformers. Trans. Mach. Learn. Res. 2026 (2026) - [i25]Oleksii Nasypanyi, Jaemin Cho, Utku Ozbulak, Byungkon Kang, François Rameau:
Seeing Through the Weights: Privacy Leakage in Scene Coordinate Regression. CoRR abs/2606.31164 (2026) - 2025
- [c14]Solha Kang, Eugene Kim, Joris Vankerschaver, Utku Ozbulak:
Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2. Deep-Breath@MICCAI 2025: 81-90 - [c13]Woowon Jang, Jiwon Im, Juseung Choi, Niki Rashidian, Wesley De Neve, Utku Ozbulak:
When Tracking Fails: Analyzing Failure Modes of SAM2 for Point-Based Tracking in Surgical Videos. COLAS@MICCAI 2025: 95-104 - [c12]Utku Ozbulak, Seyed Amir Mousavi, Francesca Tozzi, Niki Rashidian, Wouter Willaert, Wesley De Neve, Joris Vankerschaver:
Revisiting the Evaluation Bias Introduced by Frame Sampling Strategies in Surgical Video Segmentation Using SAM2. FAIMI@MICCAI 2025: 198-207 - [c11]Seyed Amir Mousavi, Esla Timothy Anzaku, Utku Ozbulak, Robbe De Muynck, Francesca Tozzi, Nikdokht Rashidian, Wouter Willaert, Wesley De Neve:
Balancing Redundancy and Diversity: An In-Depth Analysis of Active Learning for Laparoscopic Video Segmentation. DEMI@MICCAI 2025: 244-254 - [c10]Jongbum Won, Wesley De Neve, Joris Vankerschaver, Utku Ozbulak:
SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-World Breast MRI Classification. MICCAI (16) 2025: 555-564 - [i24]Utku Ozbulak, Esla Timothy Anzaku, Solha Kang, Wesley De Neve, Joris Vankerschaver:
Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets? CoRR abs/2501.15431 (2025) - [i23]Solha Kang, Joris Vankerschaver, Utku Ozbulak:
Identifying Critical Tokens for Accurate Predictions in Transformer-based Medical Imaging Models. CoRR abs/2501.15452 (2025) - [i22]Michaela Cohrs, Shiwoo Koak, Yejin Lee, Yu Jin Sung, Wesley De Neve, Hristo L. Svilenov, Utku Ozbulak:
Color Flow Imaging Microscopy Improves Identification of Stress Sources of Protein Aggregates in Biopharmaceuticals. CoRR abs/2501.15492 (2025) - [i21]Solha Kang, Wesley De Neve, François Rameau, Utku Ozbulak:
Exploring Patient Data Requirements in Training Effective AI Models for MRI-based Breast Cancer Classification. CoRR abs/2502.18506 (2025) - [i20]Utku Ozbulak, Seyed Amir Mousavi, Francesca Tozzi, Nikdokht Rashidian, Wouter Willaert, Wesley De Neve, Joris Vankerschaver:
Less is More? Revisiting the Importance of Frame Rate in Real-Time Zero-Shot Surgical Video Segmentation. CoRR abs/2502.20934 (2025) - [i19]Seyed Amir Mousavi, Utku Ozbulak, Francesca Tozzi, Nikdokht Rashidian, Wouter Willaert, Joris Vankerschaver, Wesley De Neve:
One Patient's Annotation is Another One's Initialization: Towards Zero-Shot Surgical Video Segmentation with Cross-Patient Initialization. CoRR abs/2503.02228 (2025) - [i18]Minjae Chung, Jong Bum Won, Ganghyun Kim, Yujin Kim, Utku Ozbulak:
Evaluating Visual Explanations of Attention Maps for Transformer-based Medical Imaging. CoRR abs/2503.09535 (2025) - [i17]Solha Kang, Eugene Kim, Joris Vankerschaver, Utku Ozbulak:
Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2. CoRR abs/2507.23272 (2025) - [i16]Utku Ozbulak, Michaela Cohrs, Hristo L. Svilenov, Joris Vankerschaver, Wesley De Neve:
Improved Sub-Visible Particle Classification in Flow Imaging Microscopy via Generative AI-Based Image Synthesis. CoRR abs/2508.06021 (2025) - [i15]Solha Kang, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem, Joris Vankerschaver, François Rameau, Utku Ozbulak:
Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding. CoRR abs/2509.04009 (2025) - [i14]Woowon Jang, Jiwon Im, Juseung Choi, Niki Rashidian, Wesley De Neve, Utku Ozbulak:
When Tracking Fails: Analyzing Failure Modes of SAM2 for Point-Based Tracking in Surgical Videos. CoRR abs/2510.02100 (2025) - [i13]Jong Bum Won, Wesley De Neve, Joris Vankerschaver, Utku Ozbulak:
SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-world Breast MRI Classification. CoRR abs/2510.02109 (2025) - 2024
- [j5]Hyun Jung Lee, Utku Ozbulak, Homin Park, Stephen Depuydt, Wesley De Neve, Joris Vankerschaver:
Assessing the reliability of point mutation as data augmentation for deep learning with genomic data. BMC Bioinform. 25(1): 170 (2024) - [c9]Utku Ozbulak, Esla Timothy Anzaku, Solha Kang, Wesley De Neve, Joris Vankerschaver:
Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets? IJCNN 2024: 1-8 - [c8]Solha Kang, Wesley De Neve, François Rameau, Utku Ozbulak:
Exploring Patient Data Requirements in Training Effective AI Models for MRI-Based Breast Cancer Classification. Deep-Breath@MICCAI 2024: 75-84 - [c7]Michaela Cohrs, Shiwoo Koak, Yejin Lee, Yu Jin Sung, Wesley De Neve, Hristo L. Svilenov, Utku Ozbulak:
Color Flow Imaging Microscopy Improves Identification of Stress Sources of Protein Aggregates in Biopharmaceuticals. MOVI@MICCAI 2024: 86-96 - [c6]Minjae Chung, Jong Bum Won, Ganghyun Kim, Yujin Kim, Utku Ozbulak:
Evaluating Visual Explanations of Attention Maps for Transformer-Based Medical Imaging. ISIC/iMIMIC/EARTH/DeCaF@MICCAI 2024: 110-120 - [c5]Solha Kang, Joris Vankerschaver, Utku Ozbulak:
Identifying Critical Tokens for Accurate Predictions in Transformer-Based Medical Imaging Models. MLMI@MICCAI (2) 2024: 169-179 - 2023
- [j4]Utku Ozbulak, Hyun Jung Lee, Jasper Zuallaert, Wesley De Neve, Stephen Depuydt, Joris Vankerschaver:
Mutate and observe: utilizing deep neural networks to investigate the impact of mutations on translation initiation. Bioinform. 39(6) (2023) - [j3]Utku Ozbulak, Hyun Jung Lee, Beril Boga, Esla Timothy Anzaku, Ho-min Park, Arnout Van Messem, Wesley De Neve, Joris Vankerschaver:
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training. Trans. Mach. Learn. Res. 2023 (2023) - [i12]Utku Ozbulak, Hyun Jung Lee, Beril Boga, Esla Timothy Anzaku, Ho-min Park, Arnout Van Messem, Wesley De Neve, Joris Vankerschaver:
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training. CoRR abs/2305.13689 (2023) - [i11]Woowon Jang, Shiwoo Koak, Jiwon Im, Utku Ozbulak, Joris Vankerschaver:
BRCA Gene Mutations in dbSNP: A Visual Exploration of Genetic Variants. CoRR abs/2309.00311 (2023) - 2022
- [i10]Utku Ozbulak, Manvel Gasparyan, Shodhan Rao, Wesley De Neve, Arnout Van Messem:
Exact Feature Collisions in Neural Networks. CoRR abs/2205.15763 (2022) - [i9]Utku Ozbulak, Solha Kang, Jasper Zuallaert, Stephen Depuydt, Joris Vankerschaver:
Utilizing Mutations to Evaluate Interpretability of Neural Networks on Genomic Data. CoRR abs/2212.06151 (2022) - 2021
- [j2]Utku Ozbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve:
Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems. Comput. Vis. Image Underst. 202: 103111 (2021) - [c4]Utku Ozbulak, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem:
Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks. BMVC 2021: Article 331 - [i8]Utku Ozbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve:
Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems. CoRR abs/2101.10562 (2021) - [i7]Utku Ozbulak, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem:
Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks. CoRR abs/2106.07141 (2021) - [i6]Utku Ozbulak, Maura Pintor, Arnout Van Messem, Wesley De Neve:
Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes. CoRR abs/2111.11056 (2021) - 2020
- [j1]Utku Ozbulak, Manvel Gasparyan, Wesley De Neve, Arnout Van Messem:
Perturbation analysis of gradient-based adversarial attacks. Pattern Recognit. Lett. 135: 313-320 (2020) - [c3]Taewoo Jung, Esla Timothy Anzaku, Utku Özbulak, Stefan Magez, Arnout Van Messem, Wesley De Neve:
Automatic Detection of Trypanosomosis in Thick Blood Smears Using Image Pre-processing and Deep Learning. IHCI (2) 2020: 254-266 - [i5]Utku Ozbulak, Manvel Gasparyan, Wesley De Neve, Arnout Van Messem:
Perturbation Analysis of Gradient-based Adversarial Attacks. CoRR abs/2006.01456 (2020) - [i4]Utku Ozbulak, Jonathan Peck, Wesley De Neve, Bart Goossens, Yvan Saeys, Arnout Van Messem:
Regional Image Perturbation Reduces Lp Norms of Adversarial Examples While Maintaining Model-to-model Transferability. CoRR abs/2007.03198 (2020)
2010 – 2019
- 2019
- [c2]Utku Ozbulak, Arnout Van Messem, Wesley De Neve:
Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding. IJCNN 2019: 1-8 - [c1]Utku Ozbulak, Arnout Van Messem, Wesley De Neve:
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation. MICCAI (2) 2019: 300-308 - [i3]Utku Ozbulak, Arnout Van Messem, Wesley De Neve:
Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding. CoRR abs/1907.12744 (2019) - [i2]Utku Ozbulak, Arnout Van Messem, Wesley De Neve:
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation. CoRR abs/1907.13124 (2019) - 2018
- [i1]Utku Ozbulak, Wesley De Neve, Arnout Van Messem:
How the Softmax Output is Misleading for Evaluating the Strength of Adversarial Examples. CoRR abs/1811.08577 (2018)
Coauthor Index
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last updated on 2026-07-20 01:23 CEST by the dblp team
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