Search Results - "Cardoso, Jorge M"

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    The future of digital health with federated learning by Rieke, Nicola, Hancox, Jonny, Li, Wenqi, Milletarì, Fausto, Roth, Holger R., Albarqouni, Shadi, Bakas, Spyridon, Galtier, Mathieu N., Landman, Bennett A., Maier-Hein, Klaus, Ourselin, Sébastien, Sheller, Micah, Summers, Ronald M., Trask, Andrew, Xu, Daguang, Baust, Maximilian, Cardoso, M. Jorge

    Published in NPJ digital medicine (14-09-2020)
    “…Data-driven machine learning (ML) has emerged as a promising approach for building accurate and robust statistical models from medical data, which is collected…”
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    Methods and open-source toolkit for analyzing and visualizing challenge results by Wiesenfarth, Manuel, Reinke, Annika, Landman, Bennett A., Eisenmann, Matthias, Saiz, Laura Aguilera, Cardoso, M. Jorge, Maier-Hein, Lena, Kopp-Schneider, Annette

    Published in Scientific reports (27-01-2021)
    “…Grand challenges have become the de facto standard for benchmarking image analysis algorithms. While the number of these international competitions is steadily…”
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    STEPS: Similarity and Truth Estimation for Propagated Segmentations and its application to hippocampal segmentation and brain parcelation by Jorge Cardoso, M., Leung, Kelvin, Modat, Marc, Keihaninejad, Shiva, Cash, David, Barnes, Josephine, Fox, Nick C., Ourselin, Sebastien

    Published in Medical image analysis (01-08-2013)
    “…[Display omitted] ► New locally ranked label fusion algorithm for multi-atlas segmentation. ► Unbiased performance parameter estimation by consensus voxel…”
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    aMAP is a validated pipeline for registration and segmentation of high-resolution mouse brain data by Niedworok, Christian J., Brown, Alexander P. Y., Jorge Cardoso, M., Osten, Pavel, Ourselin, Sebastien, Modat, Marc, Margrie, Troy W.

    Published in Nature communications (07-07-2016)
    “…The validation of automated image registration and segmentation is crucial for accurate and reliable mapping of brain connectivity and function in…”
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    Robust parametric modeling of Alzheimer’s disease progression by Mehdipour Ghazi, Mostafa, Nielsen, Mads, Pai, Akshay, Modat, Marc, Jorge Cardoso, M., Ourselin, Sébastien, Sørensen, Lauge

    Published in NeuroImage (Orlando, Fla.) (15-01-2021)
    “…•A parametric disease progression modeling method is proposed based on alternating Mestimation which is robust to outliers.•A novel generalized logistic…”
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    Brain amyloid and vascular risk are related to distinct white matter hyperintensity patterns by Pålhaugen, Lene, Sudre, Carole H, Tecelao, Sandra, Nakling, Arne, Almdahl, Ina S, Kalheim, Lisa F, Cardoso, M Jorge, Johnsen, Stein H, Rongve, Arvid, Aarsland, Dag, Bjørnerud, Atle, Selnes, Per, Fladby, Tormod

    “…White matter hyperintensities (WMHs) are associated with vascular risk and Alzheimer’s disease. In this study, we examined relations between WMH load and…”
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    A comparison of voxel and surface based cortical thickness estimation methods by Clarkson, Matthew J., Cardoso, M. Jorge, Ridgway, Gerard R., Modat, Marc, Leung, Kelvin K., Rohrer, Jonathan D., Fox, Nick C., Ourselin, Sébastien

    Published in NeuroImage (Orlando, Fla.) (01-08-2011)
    “…Cortical thickness estimation performed in-vivo via magnetic resonance imaging is an important technique for the diagnosis and understanding of the progression…”
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    Longitudinal segmentation of age-related white matter hyperintensities by Sudre, Carole H., Cardoso, M. Jorge, Ourselin, Sebastien

    Published in Medical image analysis (01-05-2017)
    “…•A longitudinal WMH segmentation algorithm is proposed.•Time points segmentation are constrained by an average data model.•It is shown to be unbiased to time…”
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    Hippocampal profiling: Localized magnetic resonance imaging volumetry and T2 relaxometry for hippocampal sclerosis by Vos, Sjoerd B., Winston, Gavin P., Goodkin, Olivia, Pemberton, Hugh G., Barkhof, Frederik, Prados, Ferran, Galovic, Marian, Koepp, Matthias, Ourselin, Sebastien, Cardoso, M. Jorge, Duncan, John S.

    Published in Epilepsia (Copenhagen) (01-02-2020)
    “…Objective Hippocampal sclerosis (HS) is the most common cause of drug‐resistant temporal lobe epilepsy, and its accurate detection is important to guide…”
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    Opportunities for Understanding MS Mechanisms and Progression With MRI Using Large-Scale Data Sharing and Artificial Intelligence by Vrenken, Hugo, Jenkinson, Mark, Pham, Dzung L., Guttmann, Charles R.G., Pareto, Deborah, Paardekooper, Michel, de Sitter, Alexandra, Rocca, Maria A., Wottschel, Viktor, Cardoso, M. Jorge, Barkhof, Frederik

    Published in Neurology (23-11-2021)
    “…Patients with multiple sclerosis (MS) have heterogeneous clinical presentations, symptoms, and progression over time, making MS difficult to assess and…”
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