Publication overview




MOST REPRESENTATIVE PUBLICATIONS

Longitudinal

  • Schiratti J-B, Allassonniere S, Colliot O, Durrleman S. Learning spatiotemporal trajectories from manifold-valued longitudinal data. In Advances in Neural Information Processing Systems pp. 2395–2403, 2015. PDFPDF
  • Schiratti J-B, Allassonniere S, Colliot O, Durrleman S. A Bayesian mixed-efects model to learn trajectories of changes from repeated manifold-valued observations. In Journal of Machine Learning Research (JMLR) 18(1), 4840-4872. 2017. PDFPDF
  • Koval I, Schiratti JB, Routier A, Bacci M, Colliot M, Allassonnière S, Durrleman S. Spatiotemporal propagation of the cortical atrophy: population and individual patterns. In Frontiers in Neurology 9, 2018. PDFPDF

Morphometry

  • Durrleman S, Pennec X, Trouvé A, Braga J, Gerig G, Ayache N. Toward a comprehensive framework for the spatiotemporal statistical analysis of longitudinal shape data. International Journal of Computer Vision 103(1):22-59, 2013. PDFPDF
  • Durrleman S, Prastawa M, Charon N, Korenberg JR, Joshi S, Gerig G, Trouvé A. Morphometry of anatomical shape complexes with dense deformations and sparse parameters. NeuroImage 101:35–49, 2014. PDFPDF
  • Gori P, Colliot O, Marrakchi-Kacem L, Worbe Y, Poupon, C, Hartmann A, Ayache N, Durrleman S. A Bayesian framework for joint morphometry of surface and curve meshes in multi-object complexes. Medical Image Analysis , 35, 458-474, 2017. PDFPDF
  • Louis M, Charlier B, Jusselin P, Susovan P, Durrleman S. A fanning scheme for the parallel transport along geodesicson Riemmanian manifolds. In SIAM journal on Numerical Analysis 2017. 56(4), 256-2584 PDFPDF
  • Bone A, Colliot O, Durrleman SLearning distributions of shape trajectories from longitudinal datasets: a hierarchical model on a manifold of diffeomorphisms. In Computer Vision and Pattern Recognition (CVPR) 9271-9280, 2018. PDFPDF

Machine Learning

  • Cuingnet R, Glaunès JA, Chupin M, Benali H, Colliot O. The ADNI. Spatial and anatomical regularization of SVM: a general framework for neuroimaging data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(3):682-696, 2013. PDFPDF
  • Samper-González J, Burgos N, Bottani S, Fontanella S, Lu P, Marcoux A, Routier A, Guillon J, Bacci M, Wen J, Bertrand A, Bertin H, Habert MO, Durrleman S, Evgeniou T, Colliot O. Reproducible evaluation of classification methods in Alzheimer’s disease: Framework and application to MRI and PET data. Neuroimage, 183: 504–521, 2018. PDFPDF
  • Wen J, Thibeau-Sutre E, Samper-González J, Routier A, Bottani S, Durrleman S, Burgos N, Colliot O: Convolutional Neural Networks for Classification of Alzheimer’s Disease: Overview and Reproducible Evaluation, Medical Image Analysis, 63: 101694, 2020 PDFPDF
  • Ansart A, Epelbaum S, Gagliardi G, Colliot O, Dormont D, Dubois B, Hampel H, Durrleman S. Prediction of amyloidosis from neuropsychological and MRI data for cost effective inclusion of pre-symptomatic subjects in clinical trials. In Multimodal Learning for Clinical Decision Support, 357-364. 2017. PDFPDF
  • Wei, W., Poirion, E., Bodini, B., Durrleman, S., Ayache, N., Stankoff, B., Colliot, O. Predicting PET-derived Demyelination from Multimodal MRI using Sketcher-Refiner Adversarial Training for Multiple Sclerosis, Medical Image Analysis, 58: 101546, 2019. PDFPDF

Clinical studies

  • Dubois B, Chupin M, Hampel H, Lista S, Cavedo E, Croisile B, Tisserand GL, Touchon J, Bonafe A, Ousset PJ, Ait Ameur A, Rouaud O, Ricolfi F, Vighetto A, Pasquier F, Delmaire C, Ceccaldi M, Girard N, Lehéricy S, Tonelli I, Duveau F, Colliot O, Garnero L, Sarazin M, Dormont D. Donepezil decreases annual rate of hippocampal atrophy in suspected prodromal Alzheimer’s disease. Alzheimer’s & Dementia 11(9):1041–1049, 2015. PDFPDF
  • Hamelin L, Bertoux M, Bottlaender M, Corne H, Lagarde J, Hahn V, Mangin JF, Dubois B, Chupin M, Cruz de Souza L, Colliot O, Sarazin M, Sulcal morphology as a new imaging marker for the diagnosis of early onset Alzheimer’s disease, Neurobiology of Aging, 36(11):2932-9, 2015 PDFPDF
  • Betrand A, Wen J, Rinaldi D, Houot M, Sayah S, Camuzat A, Fournier C, Fontanella S, Routier A, Couratier P, Pasquier F, Habert MO, Hannequin D, Martinaud O, Caroppo P, Levy R, Dubois B, Brice A, Durrleman S, Colliot O. Early Cognitive, Structural, and Microstructural Changes in Presymptomatic C9orf72 Carriers Younger Than 40 Years. In JAMA neurology 75(2);236-245, 2018. PDFPDF
  • Dubois B, Epelbaum S, Nyasse F, Bakardjian H, Gagliardi G, Uspenskaya O, Houot M, Lista S, Cacciamani F, Potier MC, Bertrand A, Lamari F, Benali H, Mangin JF, Colliot O, Genthon R, Habert MO, Hampel H; INSIGHT-preAD study group. Cognitive and neuroimaging features and brain β-amyloidosis in individuals at risk of Alzheimer’s disease (INSIGHT-preAD): a longitudinal observational study.. In Lancet Neurol.. 2018, Apr;17(4):335-346. PDFPDF
  • Wen J, Zhang H, Alexander DC, Durrleman S, Routier A, Rinaldi D, Jouot M, Couratier P, Hannequin D, Pasquier F, Zhang J, Colliot O, Le Ber I, Bertrand A. Neurite density is reduced in the presymptomatic phase of C9orf72 disease. In J Neurol Neurosurg Psychiatry 318994. 2018. PDFPDF


Full list of publications

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