- Zimmerer, D., Full, P.M., Isensee, F., Jager, P., Adler, T., Petersen, J. … Maier-Hein, K. (2022). MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. IEEE Transactions on Medical Imaging, 41(10), pp. 2728–2738. doi:10.1109/tmi.2022.3170077.
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About
Overview
Sergio is a PhD candidate at the Artificial Intelligence Research Centre, CitAI at City, University of London, working on computer vision for medical image analysis under the supervision of Dr. Giacomo Tarroni and Dr. Aidan Slingsby. His research interest includes algorithms to learn medical images representations without using labels (i.e. unsupervised and self-supervised) and with limited labels (semi-supervised) and applications of these algorithms for the detection and segmentation of anomalies and organs. Sergio also works on topics related to unsupervised learning such as compression, image generation, transfer learning and data efficient sparse image representations such as point cloud or implicit fields learning.
Before starting hist PhD he completed a MSc in Data Science in City, University of London and worked for more than 10 years in consulting supporting businesses on analytics and forecasting projects.
His research on unsupervised anomaly detection has been published in conferences such as IEEE International Symposium on Biomedical Imaging (ISBI 2021) and Medical Image Computing and Computer Assisted Interventions (MICCAI 2021). Sergio also achieved the 1st position in the Medical Out-of-Distribution (MOOD) Challenge held at MICCAI 2022 and 2nd and 3rd positions in 2020.
Publications
Publications by category
Conference papers and proceedings (6)
- Naval Marimont, S., Baugh, M., Siomos, V., Tzelepis, C., Kainz, B. and Tarroni, G. (2024). DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection. IEEE International Symposium on Biomedical Imaging 2024 27-30 May, Athens, Greece.
- Marimont, S.N., Siomos, V. and Tarroni, G. (2024). MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images. doi:10.1007/978-3-031-53767-7_4
- Marimont, S.N., Siomos, V. and Tarroni, G. (2023). MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution
Detection in Medical Images. - Marimont, S.N. and Tarroni, G. (2022). Implicit U-Net for Volumetric Medical Image Segmentation. doi:10.1007/978-3-031-12053-4_29
- Marimont, S.N. and Tarroni, G. (2021). Anomaly Detection Through Latent Space Restoration Using Vector Quantized Variational Autoencoders. 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI) 13-16 April. doi:10.1109/isbi48211.2021.9433778
- Naval Marimont, S. and Tarroni, G. (2021). Implicit Field Learning for Unsupervised Anomaly Detection in Medical Images. doi:10.1007/978-3-030-87196-3_18