An (always) up-to-date version of my publications can be obtained from my Google scholar profile.
International journals with peer review (in inversed chronological order)
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Raquel Real, Alejandro Martinez-Carrasco, Regina H Reynolds, Michael A Lawton, Manuela MX Tan, Maryam Shoai, Jean-Christophe Corvol, Mina Ryten, Catherine Bresner, Leon Hubbard, Alexis Brice, Suzanne Lesage, Johann Faouzi, Alexis Elbaz, Fanny Artaud, Nigel Williams, Michele TM Hu, Yoav Ben-Shlomo, Donald G Grosset, John Hardy and Huw R Morris. Association between the LRP1B and APOE loci and the development of Parkinson’s disease dementia. Brain, 146(5): 1873–1887, 2023. [www]
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Lydia Chougar, François-Xavier Lejeune, Johann Faouzi, Benjamin Morino, Alice Faucher, Nadine Hoyek, David Grabli, Florence Cormier, Marie Vidailhet, Jean-Christophe Corvol, Olivier Colliot, Bertrand Degos and Stéphane Lehéricy. Comparison of mean diffusivity, R2* relaxation rate and morphometric biomarkers for the clinical differentiation of parkinsonism. Parkinsonism & Related Disorders, 108:105287, 2023. [www]
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Johann Faouzi, Samir Bekadar, Fanny Artaud, Alexis Elbaz, Graziella Mangone, Olivier Colliot and Jean-Christophe Corvol. Machine learning-based prediction of impulse control disorders in Parkinson’s disease from clinical and genetic data. IEEE Open Journal of Engineering in Medicine and Biology, 3:96–107, 2022. [www]
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Giuseppe A. Zito, Andreas Hartmann, Benoît Béranger, Samantha Weber, Selma Aybek, Johann Faouzi, Emmanuel Roze, Marie Vidailhet and Yulia Worbe. Multivariate classification of functional brain connectivities provides an intrinsic signature of Tourette disorder in adults. Psychological Medicine, 1–9, 2021. [www]
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Johann Faouzi, Jean-Christophe Corvol and Louise-Laure Mariani. Impulse control disorders and related behaviors in Parkinson’s disease: risk factors, clinical and genetic aspects and management. Current Opinion in Neurology, 34(4):547–555, 2021. [www]
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Johann Faouzi, Baptiste Couvy-Duchesne, Samir Bekadar, Olivier Colliot and Jean-Christophe Corvol. Exploratory analysis of the genetics of impulse control disorders in Parkinson’s disease using genetic risk scores. Parkinsonism & Related Disorders, 86:74–77, 2021. [www]
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Ninon Burgos*, Simona Bottani*, Johann Faouzi*, Elina Thibeau-Sutre* and Olivier Colliot. Deep learning for brain disorders: from data processing to disease treatment. Briefings in Bioinformatics, 2020. [www]
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Manon Ansart, Stéphane Epelbaum, Giulia Bassignana, Alexandre Bône, Simona Bottani, Tiziana Cattai, Raphaël Couronné, Johann Faouzi, Igor Koval, Maxime Louis, Elina Thibeau-Sutre, Junhao Wen, Adam Wild, Ninon Burgos, Didier Dormont, Olivier Colliot and Stanley Durrleman. Predicting the Progression of Mild Cognitive Impairment Using Machine Learning : A Systematic and Quantitative Review. Medical Image Analysis, 67(101848), 2021. [www]
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Baptiste Couvy-Duchesne*, Johann Faouzi*, Benoît Martin*, Elina Thibeau-Sutre*, Adam Wild*, Manon Ansart, Stanley Durrleman, Didier Dormont, Ninon Burgos and Olivier Colliot. Ensemble Learning of Convolutional Neural Network, Support Vector Machine, and Best Linear Unbiased Predictor for Brain Age Prediction: ARAMIS Contribution to the Predictive Analytics Competition 2019 Challenge. Frontiers in Psychiatry, 11(1451), 2020. [www]
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Lydia Chougar, Johann Faouzi, Nadya Pyatigorskaya, Rahul Gaurav, Emma Biondetti, Marie Villotte, Romain Valabregue, Jean-Christophe Corvol, Alexis Brice, Louise-Laure Mariani, Florence Cormier, Marie Vidailhet, Gwendoline Dupont, Ines Piot, David Grabli, Christine Payan, Olivier Colliot, Bertrand Degos and Stephane Lehericy. Automated Categorization of Parkinsonian Syndromes using Magnetic Resonance Imaging in a Clinical Setting. Movement Disorders, 2020. [www]
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Romain Tavenard, Johann Faouzi, Gilles Vandewiele, Felix Divo, Guillaume Androz, Chester Holtz, Marie Payne, Roman Yurchak, Marc Rußwurm, Kushal Kolar and Eli Woods. Tslearn, A Machine Learning Toolkit for Time Series Data. Journal of Machine Learning Research, 21(118):1–6, 2020. [www]
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Johann Faouzi and Hicham Janati. pyts: A Python Package for Time Series Classification. Journal of Machine Learning Research, 21(46):1–6, 2020. [www]
Book chapters
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Johann Faouzi and Olivier Colliot. Classic machine learning algorithms. In: Olivier Colliot (Ed.) Machine Learning for Brain Disorders, Neuromethods, 197:25–75, 2023. [www]
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Johann Faouzi, Olivier Colliot and Jean-Christophe Corvol. Machine learning for Parkinson’s disease and related disorders. In: Olivier Colliot (Ed.) Machine Learning for Brain Disorders, Neuromethods, 197:847–877, 2023. [www]
Articles submitted to international journals with peer review
- Johann Faouzi, Manuela Tan, Fanny Casse, Suzanne Lesage, Christelle Tesson, Alexis Brice, Graziella Mangone, Louise-Laure Mariani, Hirotaka Iwaki, Olivier Colliot, Lasse Pihlstrøm and Jean-Christophe Corvol. Proxy-analysis of the genetics of cognitive decline in Parkinson’s disease through polygenic scores. Submitted to npj Parkinson’s disease.
International conferences with peer-review and without proceedings (posters only)
- Johann Faouzi, Samir Bekadar, Olivier Colliot and Jean-Christophe Corvol. Predicting Impulse Control Disorders in Parkinson’s Disease: A Challenging Task. International Congress of Parkinson’s Disease and Movement Disorders, September 2019, Nice, France. [www]
PhD thesis
- Johann Faouzi. Machine learning to predict impulse control disorders in Parkinson’s disease. Sorbonne Université, 2020. [www]
Unpublished papers
- Johann Faouzi. Time Series Classification: A Review of Algorithms and Implementations. [www]