Utku Ozbulak - RankMe

42 papers A 1B 2Journal 29Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Balancing Redundancy and Diversity: An In-Depth Analysis of Active Learning for Laparoscopic Video Segmentation. DEMI@MICCAI Seyed Amir Mousavi, Esla Timothy Anzaku, Utku Ozbulak, Robbe De Muynck, Francesca Tozzi, Nikdokht Rashidian, Wouter Willaert, Wesley De Neve
2025	J	`jnl`	Color Flow Imaging Microscopy Improves Identification of Stress Sources of Protein Aggregates in Biopharmaceuticals. CoRR Michaela Cohrs, Shiwoo Koak, Yejin Lee, Yu Jin Sung, Wesley De Neve, Hristo L. Svilenov, Utku Ozbulak
2025	J	`jnl`	Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding. CoRR Solha Kang, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem, Joris Vankerschaver, François Rameau, Utku Ozbulak
2025	J	`jnl`	Evaluating Visual Explanations of Attention Maps for Transformer-based Medical Imaging. CoRR Minjae Chung, Jong Bum Won, Ganghyun Kim, Yujin Kim, Utku Ozbulak
2025	J	`jnl`	Exploring Patient Data Requirements in Training Effective AI Models for MRI-based Breast Cancer Classification. CoRR Solha Kang, Wesley De Neve, François Rameau, Utku Ozbulak
2025	J	`jnl`	Identifying Critical Tokens for Accurate Predictions in Transformer-based Medical Imaging Models. CoRR Solha Kang, Joris Vankerschaver, Utku Ozbulak
2025	J	`jnl`	Improved Sub-Visible Particle Classification in Flow Imaging Microscopy via Generative AI-Based Image Synthesis. CoRR Utku Ozbulak, Michaela Cohrs, Hristo L. Svilenov, Joris Vankerschaver, Wesley De Neve
2025	J	`jnl`	Less is More? Revisiting the Importance of Frame Rate in Real-Time Zero-Shot Surgical Video Segmentation. CoRR Utku Ozbulak, Seyed Amir Mousavi, Francesca Tozzi, Nikdokht Rashidian, Wouter Willaert, Wesley De Neve, Joris Vankerschaver
2025	J	`jnl`	One Patient's Annotation is Another One's Initialization: Towards Zero-Shot Surgical Video Segmentation with Cross-Patient Initialization. CoRR Seyed Amir Mousavi, Utku Ozbulak, Francesca Tozzi, Nikdokht Rashidian, Wouter Willaert, Joris Vankerschaver, Wesley De Neve
2025	—	`conf`	Revisiting the Evaluation Bias Introduced by Frame Sampling Strategies in Surgical Video Segmentation Using SAM2. FAIMI@MICCAI Utku Ozbulak, Seyed Amir Mousavi, Francesca Tozzi, Niki Rashidian, Wouter Willaert, Wesley De Neve, Joris Vankerschaver
2025	J	`jnl`	Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets? CoRR Utku Ozbulak, Esla Timothy Anzaku, Solha Kang, Wesley De Neve, Joris Vankerschaver
2025	—	`conf`	SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-World Breast MRI Classification. MICCAI (16) Jongbum Won, Wesley De Neve, Joris Vankerschaver, Utku Ozbulak
2025	J	`jnl`	SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-world Breast MRI Classification. CoRR Jong Bum Won, Wesley De Neve, Joris Vankerschaver, Utku Ozbulak
2025	—	`conf`	Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2. Deep-Breath@MICCAI Solha Kang, Eugene Kim, Joris Vankerschaver, Utku Ozbulak
2025	J	`jnl`	Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2. CoRR Solha Kang, Eugene Kim, Joris Vankerschaver, Utku Ozbulak
2025	—	`conf`	When Tracking Fails: Analyzing Failure Modes of SAM2 for Point-Based Tracking in Surgical Videos. COLAS@MICCAI Woowon Jang, Jiwon Im, Juseung Choi, Niki Rashidian, Wesley De Neve, Utku Ozbulak
2025	J	`jnl`	When Tracking Fails: Analyzing Failure Modes of SAM2 for Point-Based Tracking in Surgical Videos. CoRR Woowon Jang, Jiwon Im, Juseung Choi, Niki Rashidian, Wesley De Neve, Utku Ozbulak
2024	J	`jnl`	Assessing the reliability of point mutation as data augmentation for deep learning with genomic data. BMC Bioinform. Hyun Jung Lee, Utku Ozbulak, Homin Park, Stephen Depuydt, Wesley De Neve, Joris Vankerschaver
2024	—	`conf`	Color Flow Imaging Microscopy Improves Identification of Stress Sources of Protein Aggregates in Biopharmaceuticals. MOVI@MICCAI Michaela Cohrs, Shiwoo Koak, Yejin Lee, Yu Jin Sung, Wesley De Neve, Hristo L. Svilenov, Utku Ozbulak
2024	—	`conf`	Evaluating Visual Explanations of Attention Maps for Transformer-Based Medical Imaging. ISIC/iMIMIC/EARTH/DeCaF@MICCAI Minjae Chung, Jong Bum Won, Ganghyun Kim, Yujin Kim, Utku Ozbulak
2024	—	`conf`	Exploring Patient Data Requirements in Training Effective AI Models for MRI-Based Breast Cancer Classification. Deep-Breath@MICCAI Solha Kang, Wesley De Neve, François Rameau, Utku Ozbulak
2024	—	`conf`	Identifying Critical Tokens for Accurate Predictions in Transformer-Based Medical Imaging Models. MLMI@MICCAI (2) Solha Kang, Joris Vankerschaver, Utku Ozbulak
2024	B	`conf`	Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets? IJCNN Utku Ozbulak, Esla Timothy Anzaku, Solha Kang, Wesley De Neve, Joris Vankerschaver
2023	J	`jnl`	BRCA Gene Mutations in dbSNP: A Visual Exploration of Genetic Variants. CoRR Woowon Jang, Shiwoo Koak, Jiwon Im, Utku Ozbulak, Joris Vankerschaver
2023	J	`jnl`	Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training. CoRR Utku Ozbulak, Hyun Jung Lee, Beril Boga, Esla Timothy Anzaku, Ho-min Park, Arnout Van Messem, Wesley De Neve, Joris Vankerschaver
2023	J	`jnl`	Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training. Trans. Mach. Learn. Res. Utku Ozbulak, Hyun Jung Lee, Beril Boga, Esla Timothy Anzaku, Ho-min Park, Arnout Van Messem, Wesley De Neve, Joris Vankerschaver
2023	J	`jnl`	Mutate and observe: utilizing deep neural networks to investigate the impact of mutations on translation initiation. Bioinform. Utku Ozbulak, Hyun Jung Lee, Jasper Zuallaert, Wesley De Neve, Stephen Depuydt, Joris Vankerschaver
2022	J	`jnl`	Exact Feature Collisions in Neural Networks. CoRR Utku Ozbulak, Manvel Gasparyan, Shodhan Rao, Wesley De Neve, Arnout Van Messem
2022	J	`jnl`	Utilizing Mutations to Evaluate Interpretability of Neural Networks on Genomic Data. CoRR Utku Ozbulak, Solha Kang, Jasper Zuallaert, Stephen Depuydt, Joris Vankerschaver
2021	J	`jnl`	Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes. CoRR Utku Ozbulak, Maura Pintor, Arnout Van Messem, Wesley De Neve
2021	J	`jnl`	Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems. CoRR Utku Ozbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve
2021	J	`jnl`	Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems. Comput. Vis. Image Underst. Utku Ozbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve
2021	A	`conf`	Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks. BMVC Utku Ozbulak, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem
2021	J	`jnl`	Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks. CoRR Utku Ozbulak, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem
2020	J	`jnl`	Perturbation Analysis of Gradient-based Adversarial Attacks. CoRR Utku Ozbulak, Manvel Gasparyan, Wesley De Neve, Arnout Van Messem
2020	J	`jnl`	Perturbation analysis of gradient-based adversarial attacks. Pattern Recognit. Lett. Utku Ozbulak, Manvel Gasparyan, Wesley De Neve, Arnout Van Messem
2020	J	`jnl`	Regional Image Perturbation Reduces L CoRR Utku Ozbulak, Jonathan Peck, Wesley De Neve, Bart Goossens, Yvan Saeys, Arnout Van Messem
2019	—	`conf`	Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation. MICCAI (2) Utku Ozbulak, Arnout Van Messem, Wesley De Neve
2019	J	`jnl`	Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation. CoRR Utku Ozbulak, Arnout Van Messem, Wesley De Neve
2019	B	`conf`	Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding. IJCNN Utku Ozbulak, Arnout Van Messem, Wesley De Neve
2019	J	`jnl`	Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding. CoRR Utku Ozbulak, Arnout Van Messem, Wesley De Neve
2018	J	`jnl`	How the Softmax Output is Misleading for Evaluating the Strength of Adversarial Examples. CoRR Utku Ozbulak, Wesley De Neve, Arnout Van Messem