| 2025 | MICCAI | Uncertainty-Aware Evaluation of Deep Learning Object Detectors Under Scarce and Evolving Test Datasets. | Esla Timothy Anzaku, Mohammed Aliy Mohammed, Stefan Magez, Sofie Van Hoecke, Arnout Van Messem, Wesley De Neve |
| 2021 | BMVC | Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks. | Utku Ozbulak, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem |
| 2020 | ICPR | Developing a Segmentation Model for Microscopic Images of Microplastics Isolated from Clams. | Ji Yeon Baek, Maria Krishna de Guzman, Ho-min Park, Sanghyeon Park, Boyeon Shin, Tanja Cirkovic Velickovic, Arnout Van Messem, Wesley De Neve |
| 2020 | ICPR | 3-D Deep Learning-Based Item Classification for Belt Conveyors Targeting Packaging and Logistics. | Ho-min Park, Byungkon Kang, Arnout Van Messem, Wesley De Neve |
| 2019 | IJCNN | 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 |
| 2019 | MICCAI | Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation. | Utku Ozbulak, Arnout Van Messem, Wesley De Neve |