Sergio Naval Marimont

According to our database, Sergio Naval Marimont authored at least 13 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection.

Sergio Naval Marimont, Vasilis Siomos, Matthew Baugh, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

DISYRE: Diffusion-Inspired Synthetic Restoration for Unsupervised Anomaly Detection.

Sergio Naval Marimont, Matthew Baugh, Vasilis Siomos, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

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

Harder synthetic anomalies to improve OoD detection in Medical Images.

Sergio Naval Marimont, Giacomo Tarroni

CoRR, 2023

MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images.

Sergio Naval Marimont, Vasilis Siomos, Giacomo Tarroni

Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

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, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

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, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein

IEEE Trans. Medical Imaging, 2022

Implicit U-Net for Volumetric Medical Image Segmentation.

Sergio Naval Marimont, Giacomo Tarroni

Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

2021

Implicit Field Learning for Unsupervised Anomaly Detection in Medical Images.

Sergio Naval Marimont, Giacomo Tarroni

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Anomaly Detection Through Latent Space Restoration Using Vector Quantized Variational Autoencoders.

Sergio Naval Marimont, Giacomo Tarroni

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021