Francisco Caetano

Orcid: 0000-0002-6069-6084

According to our database1, Francisco Caetano authored at least 14 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Development and evaluation of CADe systems in low-prevalence setting: The RARE25 challenge for early detection of Barrett's neoplasia.
CoRR, April, 2026

Symmetrical Flow Matching: Unified Image Generation, Segmentation, and Classification with Score-Based Generative Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
MedShift: Implicit Conditional Transport for X-Ray Domain Adaptation.
CoRR, August, 2025

AdverX-Ray: Ensuring X-Ray Integrity Through Frequency-Sensitive Adversarial VAEs.
CoRR, February, 2025

DisCoPatch: Batch Statistics Are All You Need For OOD Detection, But Only If You Can Trust Them.
CoRR, January, 2025

Enhancing Weakly-Supervised Video Anomaly Detection With Temporal Constraints.
IEEE Access, 2025

Robust Early Detection of Barrett's Neoplasia: Addressing Low-Prevalence Challenges with Generative Modeling.
Proceedings of the Data Engineering in Medical Imaging - Third MICCAI Workshop, 2025

MedSymmFlow: Bridging Generative Modeling and Classification in Medical Imaging Through Symmetrical Flow Matching.
Proceedings of the Deep Generative Models - 5th MICCAI Workshop, 2025

Out-of-Distribution Detection in Medical Imaging via Diffusion Trajectories.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2025

DisCoPatch: Taming Adversarially-Driven Batch Statistics for Improved Out-of-Distribution Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

MedShift: Implicit Conditional Transport for X-Ray Domain Adaptation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Zero-Shot Image Anomaly Detection Using Generative Foundation Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024
Can Your Generative Model Detect Out-of-Distribution Covariate Shift?
Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023
Unveiling the performance of video anomaly detection models - A benchmark-based review.
Intell. Syst. Appl., May, 2023


  Loading...