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Sergio Naval Marimont
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2020 – today
- 2024
- [c9]Sergio Naval Marimont, Matthew Baugh, Vasilis Siomos, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni:
DISYRE: Diffusion-Inspired Synthetic Restoration for Unsupervised Anomaly Detection. ISBI 2024: 1-5 - [c8]Vasilis Siomos, Sergio Naval Marimont, Jonathan Passerat-Palmbach, Giacomo Tarroni:
ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual Classification. ISBI 2024: 1-5 - [c7]Matthew Baugh, Hadrien Reynaud, Sergio Naval Marimont, Sarah Cechnicka, Johanna P. Müller, Giacomo Tarroni, Bernhard Kainz:
Image-Conditioned Diffusion Models for Medical Anomaly Detection. UNSURE@MICCAI 2024: 117-127 - [c6]Sergio Naval Marimont, Vasilis Siomos, Matthew Baugh, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni:
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection. MICCAI (11) 2024: 243-253 - [i9]Sergio Naval Marimont, Vasilis Siomos, Matthew Baugh, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni:
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection. CoRR abs/2407.06635 (2024) - [i8]Vasilis Siomos, Sergio Naval Marimont, Jonathan Passerat-Palmbach, Giacomo Tarroni:
Addressing Data Heterogeneity in Federated Learning with Adaptive Normalization-Free Feature Recalibration. CoRR abs/2410.02006 (2024) - 2023
- [c5]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:
Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. Bildverarbeitung für die Medizin 2023: 312 - [c4]Sergio Naval Marimont, Vasilis Siomos, Giacomo Tarroni:
MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images. DGM4MICCAI 2023: 35-44 - [i7]Sergio Naval Marimont, Vasilis Siomos, Giacomo Tarroni:
MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images. CoRR abs/2307.14701 (2023) - [i6]Sergio Naval Marimont, Giacomo Tarroni:
Harder synthetic anomalies to improve OoD detection in Medical Images. CoRR abs/2308.01412 (2023) - [i5]Vasilis Siomos, Sergio Naval Marimont, Jonathan Passerat-Palmbach, Giacomo Tarroni:
ARIA: On the interaction between Architectures, Aggregation methods and Initializations in federated visual classification. CoRR abs/2311.14625 (2023) - [i4]Sergio Naval Marimont, Matthew Baugh, Vasilis Siomos, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni:
DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection. CoRR abs/2311.15453 (2023) - 2022
- [j1]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:
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. IEEE Trans. Medical Imaging 41(10): 2728-2738 (2022) - [c3]Sergio Naval Marimont, Giacomo Tarroni:
Implicit U-Net for Volumetric Medical Image Segmentation. MIUA 2022: 387-397 - [i3]Sergio Naval Marimont, Giacomo Tarroni:
Implicit U-Net for volumetric medical image segmentation. CoRR abs/2206.15217 (2022) - 2021
- [c2]Sergio Naval Marimont, Giacomo Tarroni:
Anomaly Detection Through Latent Space Restoration Using Vector Quantized Variational Autoencoders. ISBI 2021: 1764-1767 - [c1]Sergio Naval Marimont, Giacomo Tarroni:
Implicit Field Learning for Unsupervised Anomaly Detection in Medical Images. MICCAI (2) 2021: 189-198 - [i2]Sergio Naval Marimont, Giacomo Tarroni:
Implicit field learning for unsupervised anomaly detection in medical images. CoRR abs/2106.05214 (2021) - 2020
- [i1]Sergio Naval Marimont, Giacomo Tarroni:
Anomaly detection through latent space restoration using vector-quantized variational autoencoders. CoRR abs/2012.06765 (2020)
Coauthor Index
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