How the Softmax Output is Misleading for Evaluating the Strength of Adversarial Examples. - Utku Ozbulak; Wesley De Neve; Arnout Van Messem (CoRR, 2018)

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 (IJCNN, 2019)

Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation. - Utku Ozbulak; Arnout Van Messem; Wesley De Neve (MICCAI (2), 2019)

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 (IHCI (2), 2020)

Regional Image Perturbation Reduces Lp 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)

Perturbation analysis of gradient-based adversarial attacks. - Utku Ozbulak; Manvel Gasparyan; Wesley De Neve; Arnout Van Messem (Pattern Recognit. Lett., 2020)

Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks. - Utku Ozbulak; Esla Timothy Anzaku; Wesley De Neve; Arnout Van Messem (BMVC, 2021)

Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes. - Utku Ozbulak; Maura Pintor; Arnout Van Messem; Wesley De Neve (CoRR, 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)

Exact Feature Collisions in Neural Networks. - Utku Ozbulak; Manvel Gasparyan; Shodhan Rao; Wesley De Neve; Arnout Van Messem (CoRR, 2022)

Utilizing Mutations to Evaluate Interpretability of Neural Networks on Genomic Data. - Utku Ozbulak; Solha Kang; Jasper Zuallaert; Stephen Depuydt; Joris Vankerschaver (CoRR, 2022)

BRCA Gene Mutations in dbSNP: A Visual Exploration of Genetic Variants. - Woowon Jang; Shiwoo Koak; Jiwon Im; Utku Ozbulak; Joris Vankerschaver (CoRR, 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)

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 (IJCNN, 2024)

Evaluating Visual Explanations of Attention Maps for Transformer-Based Medical Imaging. - Minjae Chung; Jong Bum Won; Ganghyun Kim; Yujin Kim; Utku Ozbulak (ISIC/iMIMIC/EARTH/DeCaF@MICCAI, 2024)

Color Flow Imaging Microscopy Improves Identification of Stress Sources of Protein Aggregates in Biopharmaceuticals. - Michaela Cohrs; Shiwoo Koak; Yejin Lee 015; Yu Jin Sung; Wesley De Neve; Hristo L. Svilenov; Utku Ozbulak (MOVI@MICCAI, 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 (Deep-Breath@MICCAI, 2024)

Identifying Critical Tokens for Accurate Predictions in Transformer-Based Medical Imaging Models. - Solha Kang; Joris Vankerschaver; Utku Ozbulak (MLMI@MICCAI (2), 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., 2024)

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, 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, 2025)

Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2. - Solha Kang; Eugene Kim; Joris Vankerschaver; Utku Ozbulak (CoRR, 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, 2025)