Anomaly Detection Through Latent Space Restoration Using Vector Quantized Variational Autoencoders. - Sergio Naval Marimont; Giacomo Tarroni (ISBI, 2021)

Implicit Field Learning for Unsupervised Anomaly Detection in Medical Images. - Sergio Naval Marimont; Giacomo Tarroni (MICCAI (2), 2021)

Implicit U-Net for Volumetric Medical Image Segmentation. - Sergio Naval Marimont; Giacomo Tarroni (MIUA, 2022)

MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. - David Zimmerer; Peter M. Full; Fabian Isensee; Paul Jäger 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (IEEE Trans. Medical Imaging, 2022)

Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. - David Zimmerer; Peter M. Full; Fabian Isensee; Paul Jäger 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (Bildverarbeitung für die Medizin, 2023)

MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images. - Sergio Naval Marimont; Vasilis Siomos; Giacomo Tarroni (DGM4MICCAI, 2023)

Harder synthetic anomalies to improve OoD detection in Medical Images. - Sergio Naval Marimont; Giacomo Tarroni (CoRR, 2023)

ARIA: On the interaction between Architectures, Aggregation methods and Initializations in federated visual classification. - Vasilis Siomos; Sergio Naval Marimont; Jonathan Passerat-Palmbach; Giacomo Tarroni (CoRR, 2023)

DISYRE: Diffusion-Inspired Synthetic Restoration for Unsupervised Anomaly Detection. - Sergio Naval Marimont; Matthew Baugh; Vasilis Siomos; Christos Tzelepis; Bernhard Kainz; Giacomo Tarroni (ISBI, 2024)

ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual Classification. - Vasilis Siomos; Sergio Naval Marimont; Jonathan Passerat-Palmbach; Giacomo Tarroni (ISBI, 2024)

Image-Conditioned Diffusion Models for Medical Anomaly Detection. - Matthew Baugh; Hadrien Reynaud; Sergio Naval Marimont; Sarah Cechnicka; Johanna P. Müller; Giacomo Tarroni; Bernhard Kainz (UNSURE@MICCAI, 2024)

Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection. - Sergio Naval Marimont; Vasilis Siomos; Matthew Baugh; Christos Tzelepis; Bernhard Kainz; Giacomo Tarroni (MICCAI (11), 2024)

Addressing Data Heterogeneity in Federated Learning with Adaptive Normalization-Free Feature Recalibration. - Vasilis Siomos; Sergio Naval Marimont; Jonathan Passerat-Palmbach; Giacomo Tarroni (CoRR, 2024)