Stefano Cerri

According to our database, Stefano Cerri authored at least 13 papers between 2019 and 2026.

Collaborative distances:

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

2026

Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge.

Asbjørn Munk, Stefano Cerri, Vardan Nersesjan, Christian Hedeager Krag, Jakob Ambsdorf, Pablo Rocamora-García, Julia Machnio, Peirong Liu, Suhyun Ahn, Nasrin Akbari, Yasmina Al Khalil, Kimberly Amador, Sina Amirrajab, Tal Arbel, Meritxell Bach Cuadra, Ujjwal Baid, Bhakti Baheti, Jaume Banus, Kamil Barbierik, Christoph Brune, Yansong Bu, Baptiste Callard, Yuhan Chen, Cornelius Crijnen, Corentin Dancette, Peter Drotár, Prasad Dutande, Nils D. Forkert, Saurabh Garg, Jakub Gazda, Matej Gazda, Benoît Gérin, Partha Ghosh, Weikang Gong, Pedro M. Gordaliza, Sam Hashemi, Tobias Heimann, Fucang Jia, Jiexin Jiang, Emily Kaczmarek, Chris Kang, Seung Kwan Kang, Mohammad Khazaei, Julien Khlaut, Petros Koutsouvelis, Jae Sung Lee, Yuchong Li, Mengye Lyu, Mingchen Ma, Anant Madabhushi, Klaus H. Maier-Hein, Pierre Manceron, Andrés Martínez Mora, Moona Mazher, Felix Meister, Nataliia Molchanova, Steven A. Niederer, Leonard Nürnberg, Jinah Park, Abdul Qayyum, Jonas Richiardi, Antoine Saporta, Branislav Setlák, Ning Shen, Justin Szeto, Constantin Ulrich, Puru Vaish, Vibujithan Vigneshwaran, Leroy Volmer, Zihao Wang, Siqi Wei, Anthony J. Winder, Jelmer M. Wolterink, Maxence Wynen, Chang Yang, Si Young Yie, Mostafa Mehdipour-Ghazi, Akshay Pai, Espen Jimenez-Solem, Sebastian Nørgaard Llambias, Mikael Boesen, Michael Eriksen Benros, Juan Eugenio Iglesias, Mads Nielsen

CoRR, April, 2026

2025

A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning.

Asbjørn Munk, Stefano Cerri, Jakob Ambsdorf, Julia Machnio, Sebastian Nørgaard Llambias, Vardan Nersesjan, Christian Hedeager Krag, Peirong Liu, Pablo Rocamora-García, Mostafa Mehdipour-Ghazi, Mikael Boesen, Michael Eriksen Benros, Juan Eugenio Iglesias, Mads Nielsen

CoRR, June, 2025

A lightweight generative model for interpretable subject-level prediction.

Chiara Mauri, Stefano Cerri, Oula Puonti, Mark Mühlau, Koen Van Leemput

Medical Image Anal., 2025

2024

Quantifying White Matter Hyperintensity and Brain Volumes in Heterogeneous Clinical and Low-Field Portable MRI.

Pablo Laso, Stefano Cerri, Annabel Sorby-Adams, Jennifer Guo, Farrah Mateen, Philipp Goebl, Jiaming Wu, Peirong Liu, Hongwei Bran Li, Sean I. Young, Benjamin Billot, Oula Puonti, Gordon Sze, Sam Payabavash, Adam DeHavenon, Kevin N. Sheth, Matthew S. Rosen, John Kirsch, Nicola Strisciuglio, Jelmer M. Wolterink, Arman Eshaghi, Frederik Barkhof, W. Taylor Kimberly, Juan Eugenio Iglesias

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

A Lightweight Causal Model for Interpretable Subject-level Prediction.

Chiara Mauri, Stefano Cerri, Oula Puonti, Mark Mühlau, Koen Van Leemput

CoRR, 2023

2022

An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion Segmentation.

Stefano Cerri, Douglas N. Greve, Andrew Hoopes, Henrik Lundell, Hartwig R. Siebner, Mark Mühlau, Koen Van Leemput

CoRR, 2022

Accurate and Explainable Image-Based Prediction Using a Lightweight Generative Model.

Chiara Mauri, Stefano Cerri, Oula Puonti, Mark Mühlau, Koen Van Leemput

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

A contrast-adaptive method for simultaneous whole-brain and lesion segmentation in multiple sclerosis.

Stefano Cerri, Oula Puonti, Dominik S. Meier, Jens Wuerfel, Mark Mühlau, Hartwig R. Siebner, Koen Van Leemput

NeuroImage, 2021

Predicting survival of glioblastoma from automatic whole-brain and tumor segmentation of MR images.

Sveinn Pálsson, Stefano Cerri, Hans Skovgaard Poulsen, Thomas Urup, Ian Law, Koen Van Leemput

CoRR, 2021

Joint Segmentation Of Multiple Sclerosis Lesions And Brain Anatomy In MRI Scans Of Any Contrast And Resolution With CNNs.

Benjamin Billot, Stefano Cerri, Koen Van Leemput, Adrian V. Dalca, Juan Eugenio Iglesias

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

Prediction of MGMT Methylation Status of Glioblastoma Using Radiomics and Latent Space Shape Features.

Sveinn Pálsson, Stefano Cerri, Koen Van Leemput

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis.

Stefano Cerri, Andrew Hoopes, Douglas N. Greve, Mark Mühlau, Koen Van Leemput

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

2019

Semi-supervised Variational Autoencoder for Survival Prediction.

Sveinn Pálsson, Stefano Cerri, Andrea Dittadi, Koen Van Leemput

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019