Zobrazeno 1 - 10
of 150
pro vyhledávání: '"Stefano, Cerri"'
Autor:
Sveinn Pálsson, Stefano Cerri, Hans Skovgaard Poulsen, Thomas Urup, Ian Law, Koen Van Leemput
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Survival prediction models can potentially be used to guide treatment of glioblastoma patients. However, currently available MR imaging biomarkers holding prognostic information are often challenging to interpret, have difficulties generaliz
Externí odkaz:
https://doaj.org/article/4ba34c5acbba48efa1f35eb357a11234
Autor:
Stefano Cerri, Douglas N. Greve, Andrew Hoopes, Henrik Lundell, Hartwig R. Siebner, Mark Mühlau, Koen Van Leemput
Publikováno v:
NeuroImage: Clinical, Vol 38, Iss , Pp 103354- (2023)
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 can handle multi-contrast data and robustly analyze images with white
Externí odkaz:
https://doaj.org/article/05edfde12cef469fb7f1e6bf5d8c9139
Autor:
Stefano Cerri, Oula Puonti, Dominik S. Meier, Jens Wuerfel, Mark Mühlau, Hartwig R. Siebner, Koen Van Leemput
Publikováno v:
NeuroImage, Vol 225, Iss , Pp 117471- (2021)
Here we present a method for the simultaneous segmentation of white matter lesions and normal-appearing neuroanatomical structures from multi-contrast brain MRI scans of multiple sclerosis patients. The method integrates a novel model for white matte
Externí odkaz:
https://doaj.org/article/491ec36ed417444fbad31b59c7c94166
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164514
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::321f1fdff138b6480a97e4e80f21d19b
https://doi.org/10.1007/978-3-031-16452-1_43
https://doi.org/10.1007/978-3-031-16452-1_43
Autor:
Mads A J Madsen, Vanessa Wiggermann, Marta F M Marques, Henrik Lundell, Stefano Cerri, Oula Puonti, Morten Blinkenberg, Jeppe Romme Christensen, Finn Sellebjerg, Hartwig R Siebner
Publikováno v:
Madsen, M A J, Wiggermann, V, Marques, M F M, Lundell, H, Cerri, S, Puonti, O, Blinkenberg, M, Romme Christensen, J, Sellebjerg, F & Siebner, H R 2022, ' Linking lesions in sensorimotor cortex to contralateral hand function in multiple sclerosis : A 7 T MRI study ', Brain, vol. 145, no. 10, pp. 3522-3535 . https://doi.org/10.1093/brain/awac203
Madsen, M A J, Wiggermann, V, Marques, M F M, Lundell, H, Cerri, S, Puonti, O, Blinkenberg, M, Christensen, J R, Sellebjerg, F & Siebner, H R 2022, ' Linking lesions in sensorimotor cortex to contralateral hand function in multiple sclerosis : a 7 T MRI study ', Brain, vol. 145, no. 10, pp. 3522–3535 . https://doi.org/10.1093/brain/awac203
Madsen, M A J, Wiggermann, V, Marques, M F M, Lundell, H, Cerri, S, Puonti, O, Blinkenberg, M, Christensen, J R, Sellebjerg, F & Siebner, H R 2022, ' Linking lesions in sensorimotor cortex to contralateral hand function in multiple sclerosis : a 7 T MRI study ', Brain, vol. 145, no. 10, pp. 3522–3535 . https://doi.org/10.1093/brain/awac203
Cortical lesions constitute a key manifestation of multiple sclerosis and contribute to clinical disability and cognitive impairment. Yet it is unknown whether local cortical lesions and cortical lesion subtypes contribute to domain-specific impairme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e32110cf1a19060fffdafe9b3f223095
https://curis.ku.dk/portal/da/publications/linking-lesions-in-sensorimotor-cortex-to-contralateral-hand-function-in-multiple-sclerosis(9be8373b-04a3-4bf0-9918-2c98687297f9).html
https://curis.ku.dk/portal/da/publications/linking-lesions-in-sensorimotor-cortex-to-contralateral-hand-function-in-multiple-sclerosis(9be8373b-04a3-4bf0-9918-2c98687297f9).html
Publikováno v:
Billot, B, Cerri, S, Leemput, K V, Dalca, A V & Iglesias, J E 2021, Joint segmentation of multiple sclerosis lesions and brain anatomy in mri scans of any contrast and resolution with CNNs . in Proceedings of the 18th International Symposium on Biomedical Imaging . IEEE, Proceedings-International Symposium on Biomedical Imaging, pp. 1971-1974, 2021 IEEE International Symposium on Biomedical Imaging, Nice, France, 13/04/2021 . https://doi.org/10.1109/ISBI48211.2021.9434127
Proc IEEE Int Symp Biomed Imaging
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)
ISBI
IEEE ISBI
Proc IEEE Int Symp Biomed Imaging
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)
ISBI
IEEE ISBI
We present the first deep learning method to segment Multiple Sclerosis lesions and brain structures from MRI scans of any (possibly multimodal) contrast and resolution. Our method only requires segmentations to be trained (no images), as it leverage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1b74f542fae8429d643d1a0c1a251b2
https://orbit.dtu.dk/en/publications/426341f6-401e-4faa-b3da-d233754855e6
https://orbit.dtu.dk/en/publications/426341f6-401e-4faa-b3da-d233754855e6
Akademický článek
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Autor:
Stefano Cerri, Hartwig R. Siebner, Jens Wuerfel, Mark Mühlau, Oula Puonti, Koen Van Leemput, Dominik Meier
Publikováno v:
Cerri, S, Puonti, O, Meier, D S, Wuerfel, J, Mühlau, M, Siebner, H R & Van Leemput, K 2020, ' A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis ', NeuroImage, vol. 225, 117471 . https://doi.org/10.1016/j.neuroimage.2020.117471
NeuroImage, Vol 225, Iss, Pp 117471-(2021)
NeuroImage
Cerri, S, Puonti, O, Meier, D S, Wuerfel, J, Mühlau, M, Siebner, H R & Van Leemput, K 2021, ' A contrast-adaptive method for simultaneous whole-brain and lesion segmentation in multiple sclerosis ', NeuroImage, vol. 225, 117471 . https://doi.org/10.1016/j.neuroimage.2020.117471
NeuroImage, Vol 225, Iss, Pp 117471-(2021)
NeuroImage
Cerri, S, Puonti, O, Meier, D S, Wuerfel, J, Mühlau, M, Siebner, H R & Van Leemput, K 2021, ' A contrast-adaptive method for simultaneous whole-brain and lesion segmentation in multiple sclerosis ', NeuroImage, vol. 225, 117471 . https://doi.org/10.1016/j.neuroimage.2020.117471
Here we present a method for the simultaneous segmentation of white matter lesions and normal-appearing neuroanatomical structures from multi-contrast brain MRI scans of multiple sclerosis patients. The method integrates a novel model for white matte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c1db72ad48a733bc80cad2d60a5d7ff
http://arxiv.org/abs/2005.05135
http://arxiv.org/abs/2005.05135
Publikováno v:
Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology ISBN: 9783030668426
MLCN/RNO-AI@MICCAI
MLCN/RNO-AI@MICCAI
In this paper we propose a novel method for the segmentation of longitudinal brain MRI scans of patients suffering from Multiple Sclerosis. The method builds upon an existing cross-sectional method for simultaneous whole-brain and lesion segmentation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d1e028ddb84b9dd0478e4154f2240e0
https://doi.org/10.1007/978-3-030-66843-3_12
https://doi.org/10.1007/978-3-030-66843-3_12