Stefano Cerri

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Koen Van LeemputAalto University & Harvard Medical SchoolVerified email at nmr.mgh.harvard.edu
Oula PuontiDanish Research Centre for Magnetic ResonanceVerified email at drcmr.dk
Hartwig SiebnerUniversity of Copenhagen, Region Hovedstaden, Danish Research Centre for Magnetic Resonance,Verified email at drcmr.dk
Henrik LundellAssoc. Profess MR Section, DTU Health Technology and Danish Research Centre for Magnetic ResonanceVerified email at drcmr.dk
Sveinn PálssonTechnical University of Denmark (DTU)Verified email at dtu.dk
Douglas N GreveMGHVerified email at nmr.mgh.harvard.edu
Juan Eugenio IglesiasMassachusetts General Hospital & Harvard Medical School / MIT / UCLVerified email at mgh.harvard.edu
Vanessa WiggermannDanish Research Centre for Magnetic ResonanceVerified email at drcmr.dk
Finn SellebjergProfessor i Neurologi, Rigshospitalet, Københavns UniversitetVerified email at dadlnet.dk
Marta Filipa Mateus MarquesResearch Assistant, Danish Research Centre for Magnetic ResonanceVerified email at drcmr.dk
Mads Alexander Just MadsenPostdoc, Danish Research Centre for Magnetic ResonanceVerified email at drcmr.dk
Andrew HoopesMITVerified email at mgh.harvard.edu
Benjamin BillotResearcher, InriaVerified email at inria.fr
Thomas UrupVerified email at regionh.dk
Hans Skovgaard Poulsen, MD, DMScProfessor, Københavns UniversitetVerified email at regionh.dk
Adrian V DalcaHarvard Medical School & Massachusetts Institute of TechnologyVerified email at mit.edu
Chiara MauriHarvard Medical School, Massachusetts General HospitalVerified email at mgh.harvard.edu
Kevin ShethYale School of MedicineVerified email at yale.edu
Matthew S RosenMass General/Martinos Center for Biomedical ImagingVerified email at mgh.harvard.edu
Nicola StrisciuglioUniversity of Twente (Associate Professor)Verified email at utwente.nl

Stefano Cerri

University of Copenhagen

Verified email at di.ku.dk - Homepage

Medical Image Computing Medical Image Analysis


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A contrast-adaptive method for simultaneous whole-brain and lesion segmentation in multiple sclerosis S Cerri, O Puonti, DS Meier, J Wuerfel, M Mühlau, HR Siebner, ... NeuroImage 225, 117471, 2021	110	2021
An open-source tool for longitudinal whole-brain and white matter lesion segmentation S Cerri, DN Greve, A Hoopes, H Lundell, HR Siebner, M Mühlau, ... NeuroImage: Clinical 38, 103354, 2023	17	2023
Predicting survival of glioblastoma from automatic whole-brain and tumor segmentation of mr images S Pálsson, S Cerri, HS Poulsen, T Urup, I Law, K Van Leemput Scientific Reports 12 (1), 1-12, 2022	17	2022
Joint Segmentation Of Multiple Sclerosis Lesions And Brain Anatomy In MRI Scans Of Any Contrast And Resolution With CNNs B Billot, S Cerri, K Van Leemput, AV Dalca, JE Iglesias 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1971-1974, 2021	15	2021
A longitudinal method for simultaneous whole-brain and lesion segmentation in multiple sclerosis S Cerri, A Hoopes, DN Greve, M Mühlau, K Van Leemput Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro …, 2020	15	2020
Linking lesions in sensorimotor cortex to contralateral hand function in multiple sclerosis: a 7 T MRI study MAJ Madsen, V Wiggermann, MFM Marques, H Lundell, S Cerri, O Puonti, ... Brain 145 (10), 3522-3535, 2022	14	2022
Prediction of mgmt methylation status of glioblastoma using radiomics and latent space shape features S Pálsson, S Cerri, K Van Leemput International MICCAI Brainlesion Workshop, 222-231, 2022	12	2022
A genetic risk variant for multiple sclerosis severity is associated with brain atrophy C Gasperi, T Wiltgen, J McGinnis, S Cerri, T Moridi, R Ouellette, A Pukaj, ... Annals of Neurology 94 (6), 1080-1085, 2023	10	2023
Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI P Laso, S Cerri, A Sorby-Adams, J Guo, F Mateen, P Goebl, J Wu, P Liu, ... 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024	7	2024
Semi-Supervised Variational Autoencoder for Survival Prediction S Pálsson, S Cerri, A Dittadi, K Van Leemput International MICCAI Brainlesion Workshop, 124-134, 2019	6	2019
Accurate and Explainable Image-Based Prediction Using a Lightweight Generative Model C Mauri, S Cerri, O Puonti, M Mühlau, K Van Leemput International Conference on Medical Image Computing and Computer-Assisted …, 2022	5	2022
Assessing individual variability of the entorhinal subfields in health and disease J Oltmer, DN Greve, S Cerri, N Slepneva, J Llamas‐Rodríguez, ... Journal of Comparative Neurology 531 (18), 2062-2079, 2023	2	2023
Quantitative evaluation of the influence of multiple MRI sequences and of pathological tissues on the registration of longitudinal data acquired in brain tumor treatment L Canalini, J Klein, D Waldmannstetter, F Kofler, S Cerri, A Hering, ... Frontiers in Neuroimaging, 32, 2022	2	2022
A lightweight generative model for interpretable subject-level prediction C Mauri, S Cerri, O Puonti, M Mühlau, K Van Leemput Medical Image Analysis, 103436, 2024		2024
Grey matter matters: The impact of regional cortical lesions, investigated with 7T MRI, on sensorimotor function in Danish MS patients MAJ Madsen, V Wiggermann, MFM Marques, H Lundell, S Cerri, O Puonti, ... DAREMUS: Nationalt MS forskningsmøde 2021, 2021		2021
Cortical lesions detected with 7T MRI are associated with disruption of local cortical function and area specific symptoms MAJ Madsen, V Wiggermann, MFM Marques, H Lundell, S Cerri, O Puonti, ... European Committee for Treatment and Research in Multiple Sclerosis: Virtual …, 2021		2021
Computational Imaging Biomarkers of Multiple Sclerosis S Cerri DTU Health Technology, 2021		2021

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