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20192026
most citedQuantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI

12 citations · 14 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

BINDER: A Latent Variable Model for Probabilistic Medical Image Registration

Stefano Cerri, Amirhossein Hassankhani, Yaël Balbastre +1

We propose a new probabilistic model for general-purpose medical image registration that builds upon the mutual information registration criterion. It centers around a spatial inte…

cs.CV2026

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

Asbjørn Munk, Stefano Cerri, Vardan Nersesjan +81

Clinical deployment of automated brain MRI analysis faces a fundamental challenge: clinical data is heterogeneous and noisy, and high-quality labels are prohibitively costly to obt…

cs.CV2023

A Lightweight Generative Model for Interpretable Subject-level Prediction

Chiara Mauri, Stefano Cerri, Oula Puonti +2

Recent years have seen a growing interest in methods for predicting an unknown variable of interest, such as a subject's diagnosis, from medical images depicting its anatomical-fun…

cs.CV2022★ 2 cited

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

Stefano Cerri, Douglas N. Greve, Andrew Hoopes +4

In this paper we describe and validate a longitudinal method for whole-brain segmentation of longitudinal MRI scans. It builds upon an existing whole-brain segmentation method that…

cs.CV2019

Semi-Supervised Variational Autoencoder for Survival Prediction

Sveinn Pálsson, Stefano Cerri, Andrea Dittadi +1

In this paper we propose a semi-supervised variational autoencoder for classification of overall survival groups from tumor segmentation masks. The model can use the output of any…