Semi-supervised Variational Autoencoder for Survival Prediction. - Sveinn Pálsson; Stefano Cerri; Andrea Dittadi; Koen Van Leemput (BrainLes@MICCAI (2), 2019)

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 (MLCN/RNO-AI@MICCAI, 2020)

Prediction of MGMT Methylation Status of Glioblastoma Using Radiomics and Latent Space Shape Features. - Sveinn Pálsson; Stefano Cerri; Koen Van Leemput (BrainLes@MICCAI (2), 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 (ISBI, 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)

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)

Accurate and Explainable Image-Based Prediction Using a Lightweight Generative Model. - Chiara Mauri; Stefano Cerri; Oula Puonti; Mark Mühlau; Koen Van Leemput (MICCAI (8), 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)

A Lightweight Causal Model for Interpretable Subject-level Prediction. - Chiara Mauri; Stefano Cerri; Oula Puonti; Mark Mühlau; Koen Van Leemput (CoRR, 2023)

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; et al. (ISBI, 2024)

A lightweight generative model for interpretable subject-level prediction. - Chiara Mauri; Stefano Cerri; Oula Puonti; Mark Mühlau; Koen Van Leemput (Medical Image Anal., 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; et al. (CoRR, 2025)