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Simona Bottani
Simona Bottani
Data scientist, Deemea
Verified email at deemea.com
Title
Cited by
Cited by
Year
Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation
J Wen, E Thibeau-Sutre, M Diaz-Melo, J Samper-González, A Routier, ...
Medical image analysis 63, 101694, 2020
5102020
Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data
J Samper-González, N Burgos, S Bottani, S Fontanella, P Lu, A Marcoux, ...
NeuroImage 183, 504-521, 2018
1772018
Clinica: An open-source software platform for reproducible clinical neuroscience studies
A Routier, N Burgos, M Díaz, M Bacci, S Bottani, O El-Rifai, S Fontanella, ...
Frontiers in Neuroinformatics 15, 689675, 2021
1042021
Predicting the progression of mild cognitive impairment using machine learning: a systematic, quantitative and critical review
M Ansart, S Epelbaum, G Bassignana, A Bône, S Bottani, T Cattai, ...
Medical Image Analysis 67, 101848, 2021
752021
AD Course Map charts Alzheimer’s disease progression
I Koval, A Bône, M Louis, T Lartigue, S Bottani, A Marcoux, ...
Scientific Reports 11 (1), 8020, 2021
472021
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse
S Bottani, N Burgos, A Maire, A Wild, S Ströer, D Dormont, O Colliot, ...
Medical Image Analysis 75, 102219, 2022
282022
Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimer’s disease
J Wen, J Samper-González, S Bottani, A Routier, N Burgos, T Jacquemont, ...
Neuroinformatics 19, 57-78, 2021
282021
Primary Progressive Aphasia Associated With GRN Mutations: New Insights Into the Nonamyloid Logopenic Variant
D Saracino, S Ferrieux, M Nogučs-Lassiaille, M Houot, A Funkiewiez, ...
Neurology 97 (1), e88-e102, 2021
252021
Deep learning for brain disorders: from data processing to disease treatment
N Burgos, S Bottani, J Faouzi, E Thibeau-Sutre, O Colliot
Briefings in Bioinformatics 22 (2), 1560-1576, 2021
242021
An automated pipeline for the analysis of PET data on the cortical surface
A Marcoux, N Burgos, A Bertrand, M Teichmann, A Routier, J Wen, ...
Frontiers in Neuroinformatics 12, 94, 2018
182018
Australian Imaging Biomarkers and Lifestyle flagship study of ageing, Convolutional neural networks for classification of Alzheimer’s disease: Overview and reproducible evaluation
J Wen, E Thibeau-Sutre, M Diaz-Melo, J Samper-González, A Routier, ...
Med. Image Anal 63, 101694, 2020
14*2020
Australian Imaging Biomarkers and Lifestyle flagship study of ageing, 2018. Reproducible evaluation of classification methods in Alzheimer’s disease: Framework and application …
J Samper-González, N Burgos, S Bottani, S Fontanella, P Lu, A Marcoux, ...
Neuroimage 183, 504-21, 2018
132018
Primary progressive aphasias associated with C9orf72 expansions: Another side of the story
D Saracino, A Géraudie, AM Remes, S Ferrieux, M Nogučs-Lassiaille, ...
Cortex 145, 145-159, 2021
112021
How serious is data leakage in deep learning studies on Alzheimer's disease classification?
J Wen, E Thibeau, J Samper-González, AM Routier, S Bottani, D Dormont, ...
2019 OHBM annual meeting-organization for human brain mapping, 2019
102019
Reproducible evaluation of methods for predicting progression to Alzheimer's disease from clinical and neuroimaging data
J Samper-Gonzalez, N Burgos, S Bottani, MO Habert, T Evgeniou, ...
Medical Imaging 2019: Image Processing 10949, 221-233, 2019
102019
Homogenization of brain MRI from a clinical data warehouse using contrast-enhanced to non-contrast-enhanced image translation with U-Net derived models
S Bottani, E Thibeau-Sutre, A Maire, S Ströer, D Dormont, O Colliot, ...
Medical Imaging 2022: Image Processing 12032, 576-582, 2022
82022
Advancing artificial intelligence in sensors, signals, and imaging informatics
W Hsu, C Baumgartner, T Deserno
Yearbook of medical informatics 28 (01), 115-117, 2019
82019
Simulation based evaluation framework for deep learning unsupervised anomaly detection on brain FDG-PET
R Hassanaly, S Bottani, B Sauty, O Colliot, N Burgos
Medical Imaging 2023: Image Processing 12464, 511-518, 2023
62023
Gaussian graphical model exploration and selection in high dimension low sample size setting
T Lartigue, S Bottani, S Baron, O Colliot, S Durrleman, S Allassonničre
IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (9), 3196-3213, 2020
62020
Convolutional Neural Networks for Classification of Alzheimer’s Disease: Overview and Reproducible Evaluation. arXiv 2019
J Wen, E Thibeau-Sutre, J Samper-Gonzalez, A Routier, S Bottani, ...
arXiv preprint arXiv:1904.07773, 2019
62019
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