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

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)

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)

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