Výsledky vyhledávání - "Samper‐González, Jorge"

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Accuracy of MRI Classification Algorithms in a Tertiary Memory Center Clinical Routine Cohort

Autor: Morin, Alexandre, Samper-González, Jorge, Bertrand, Anne, Stroer, Sebastian, Dormont, Didier, Mendes, Aline, Coupé, Pierrick, Ahdidan, Jamila, Lévy, Marcel, Samri, Dalila, Hampel, Harald, Dubois, Bruno, Teichmann, Marc, Epelbaum, Stéphane, Colliot, Olivier

Publikováno v: Journal of Alzheimer's Disease, IOS Press, 2020, pp.1-10

BACKGROUND:Automated volumetry software (AVS) has recently become widely available to neuroradiologists. MRI volumetry with AVS may support the diagnosis of dementias by identifying regional atrophy. Moreover, automatic classifiers using machine lear

Externí odkaz: http://arxiv.org/abs/2003.09260

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Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation

Autor: Wen, Junhao, Thibeau-Sutre, Elina, Diaz-Melo, Mauricio, Samper-Gonzalez, Jorge, Routier, Alexandre, Bottani, Simona, Dormont, Didier, Durrleman, Stanley, Burgos, Ninon, Colliot, Olivier

Publikováno v: Medical Image Analysis, p.101694. 2020

Over 30 papers have proposed to use convolutional neural network (CNN) for AD classification from anatomical MRI. However, the classification performance is difficult to compare across studies due to variations in components such as participant selec

Externí odkaz: http://arxiv.org/abs/1904.07773

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Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimers disease

Autor: Wen, Junhao, Samper-Gonzalez, Jorge, Bottani, Simona, Routier, Alexandre, Burgos, Ninon, Jacquemont, Thomas, Fontanella, Sabrina, Durrleman, Stanley, Epelbaum, Stephane, Bertrand, Anne, Colliot, Olivier

Diffusion MRI is the modality of choice to study alterations of white matter. In past years, various works have used diffusion MRI for automatic classification of AD. However, classification performance obtained with different approaches is difficult

Externí odkaz: http://arxiv.org/abs/1812.11183

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Reproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data

Autor: Samper-González, Jorge, Burgos, Ninon, Bottani, Simona, Fontanella, Sabrina, Lu, Pascal, Marcoux, Arnaud, Routier, Alexandre, Guillon, Jérémy, Bacci, Michael, Wen, Junhao, Bertrand, Anne, Bertin, Hugo, Habert, Marie-Odile, Durrleman, Stanley, Evgeniou, Theodoros, Colliot, Olivier

A large number of papers have introduced novel machine learning and feature extraction methods for automatic classification of AD. However, they are difficult to reproduce because key components of the validation are often not readily available. Thes

Externí odkaz: http://arxiv.org/abs/1808.06452

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Yet Another ADNI Machine Learning Paper? Paving The Way Towards Fully-reproducible Research on Classification of Alzheimer's Disease

Autor: Samper-González, Jorge, Burgos, Ninon, Fontanella, Sabrina, Bertin, Hugo, Habert, Marie-Odile, Durrleman, Stanley, Evgeniou, Theodoros, Colliot, Olivier

Publikováno v: Proc. Machine Learning in Medical Imaging MLMI 2017, MICCAI Worskhop, Lecture Notes in Computer Science, volume 10541, pp 53-60, Springer

In recent years, the number of papers on Alzheimer's disease classification has increased dramatically, generating interesting methodological ideas on the use machine learning and feature extraction methods. However, practical impact is much more lim

Externí odkaz: http://arxiv.org/abs/1709.07267

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