| Anomaly detection through latent space restoration using vector quantized variational autoencoders SN Marimont, G Tarroni 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1764-1767, 2021 | 56 | 2021 |
| Mood 2020: A public benchmark for out-of-distribution detection and localization on medical images D Zimmerer, PM Full, F Isensee, P Jäger, T Adler, J Petersen, G Köhler, ... IEEE Transactions on Medical Imaging 41 (10), 2728-2738, 2022 | 27 | 2022 |
| Implicit field learning for unsupervised anomaly detection in medical images S Naval Marimont, G Tarroni Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 21 | 2021 |
| Implicit u-net for volumetric medical image segmentation SN Marimont, G Tarroni Annual Conference on Medical Image Understanding and Analysis, 387-397, 2022 | 2 | 2022 |
| DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection S Naval Marimont, M Baugh, V Siomos, C Tzelepis, B Kainz, G Tarroni Proceedings/IEEE International Symposium on Biomedical Imaging: from nano to …, 2024 | 1 | 2024 |
| ARIA: On the interaction between Architectures, Aggregation methods and Initializations in federated visual classification V Siomos, S Naval-Marimont, J Passerat-Palmbach, G Tarroni arXiv preprint arXiv:2311.14625, 2023 | | 2023 |
| Harder synthetic anomalies to improve OoD detection in Medical Images S Naval Marimont, G Tarroni arXiv e-prints, arXiv: 2308.01412, 2023 | | 2023 |
| MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images SN Marimont, V Siomos, G Tarroni arXiv preprint arXiv:2307.14701, 2023 | | 2023 |
