Unveiling the performance of video anomaly detection models - A benchmark-based review. - Francisco Caetano; Pedro Carvalho; Jaime S. Cardoso 001 (Intell. Syst. Appl., 2023)

Can Your Generative Model Detect Out-of-Distribution Covariate Shift? - Christiaan G. A. Viviers; M. M. Amaan Valiuddin; Francisco Caetano; Lemar Abdi; Lena Filatova; Peter H. N. de With; Fons van der Sommen (ECCV Workshops (17), 2024)

Enhancing Weakly-Supervised Video Anomaly Detection With Temporal Constraints. - Francisco Caetano; Pedro Carvalho; Christina Mastralexi; Jaime S. Cardoso 001 (IEEE Access, 2025)

DisCoPatch: Batch Statistics Are All You Need For OOD Detection, But Only If You Can Trust Them. - Francisco Caetano; Christiaan G. A. Viviers; Luis Albert Zavala-Mondragón; Peter H. N. de With; Fons van der Sommen (CoRR, 2025)

AdverX-Ray: Ensuring X-Ray Integrity Through Frequency-Sensitive Adversarial VAEs. - Francisco Caetano; Christiaan G. A. Viviers; Lena Filatova; Peter H. N. de With; Fons van der Sommen (CoRR, 2025)

Symmetrical Flow Matching: Unified Image Generation, Segmentation, and Classification with Score-Based Generative Models. - Francisco Caetano; Christiaan G. A. Viviers; Peter H. N. de With; Fons van der Sommen (CoRR, 2025)

MedSymmFlow: Bridging Generative Modeling and Classification in Medical Imaging through Symmetrical Flow Matching. - Francisco Caetano; Lemar Abdi; Christiaan G. A. Viviers; M. M. Amaan Valiuddin; Fons van der Sommen (CoRR, 2025)

Zero-Shot Image Anomaly Detection Using Generative Foundation Models. - Lemar Abdi; M. M. Amaan Valiuddin; Francisco Caetano; Christiaan G. A. Viviers; Fons van der Sommen (CoRR, 2025)

Out-of-Distribution Detection in Medical Imaging via Diffusion Trajectories. - Lemar Abdi; Francisco Caetano; M. M. Amaan Valiuddin; Christiaan G. A. Viviers; Hamdi Joudeh; Fons van der Sommen (CoRR, 2025)