Stanley Durrleman

202

Documents

Publications

	Association Between Diseases and Symptoms Diagnosed in Primary Care and the Subsequent Specific Risk of Multiple Sclerosis Octave Guinebretiere , Thomas Nedelec , Laurène Gantzer , Beranger Lekens , Stanley Durrleman Neurology, 2023, 101 (24), ⟨10.1212/WNL.0000000000207981⟩ Journal articles hal-04330030v1
	Forecasting individual progression trajectories in Alzheimer’s disease Etienne Maheux , Igor Koval , Juliette Ortholand , Colin Birkenbihl , Damiano Archetti Nature Communications, 2023, 14 (1), pp.761. ⟨10.1038/s41467-022-35712-5⟩ Journal articles hal-04023781v1
	Multivariate disease progression modelling with longitudinal ordinal data Pierre‐emmanuel Poulet , Stanley Durrleman Statistics in Medicine, 2023, ⟨10.1002/sim.9770⟩ Journal articles hal-04095450v1
	Charting Disease Trajectories from Isolated REM Sleep Behavior Disorder to Parkinson's Disease Cécile Di Folco , Raphaël Couronné , Isabelle Arnulf , Graziella Mangone , Smaranda Leu-Semenescu Movement Disorders, 2023, ⟨10.1002/mds.29662⟩ Journal articles hal-04319442v1
	Impact of sex and APOE-ε4 genotype on patterns of regional brain atrophy in Alzheimer's Disease and healthy ageing Benoît Sauty , Stanley Durrleman Frontiers in Neurology, 2023, Frontiers in Neurology, section Dementia and Neurodegenerative Diseases., 14, ⟨10.3389/fneur.2023.1161527⟩ Journal articles hal-03778801v4
	Interaction of sex and onset site on the disease trajectory of amyotrophic lateral sclerosis Juliette Ortholand , Pierre-François Pradat , Sophie Tezenas Du Montcel , Stanley Durrleman Journal of Neurology, 2023, ⟨10.1007/s00415-023-11932-7⟩ Journal articles hal-04216957v1
	A Comparison Between Early Presentation of Dementia with Lewy Bodies, Alzheimer's Disease, and Parkinson's Disease: Evidence from Routine Primary Care and UK Biobank Data Thomas Nedelec , Baptiste Couvy-Duchesne , Aube Darves-bornoz , Raphäel Couronné , Fleur Monnet Annals of Neurology, 2023, 94 (2), pp.259-270. ⟨10.1002/ana.26670⟩ Journal articles hal-04389605v1
	Comparison of Clinical Profiles and Mortality Outcomes Between Influenza and COVID-19 Patients Invasively Ventilated in the ICU: A Retrospective Study From All Paris Public Hospitals From 2016 to 2021 Clemence Marois , Thomas Nedelec , Juliette Pelle , Antoine Rozes , Stanley Durrleman Critical Care Explorations, 2022, 4 (7), pp.e0737. ⟨10.1097/cce.0000000000000737⟩ Journal articles hal-03819244v1
	Forecasting individual progression trajectories in Huntington disease enables more powered clinical trials Igor Koval , Thomas Dighiero-Brecht , Allan J Tobin , Sarah J Tabrizi , Rachael I Scahill Scientific Reports, 2022, 12 (1), pp.18928. ⟨10.1038/s41598-022-18848-8⟩ Journal articles hal-03877293v1
	Benchmarking off-the-shelf statistical shape modeling tools in clinical applications Anupama Goparaju , Alexandre Bône , Nan Hu , Heath Henninger , Andrew Anderson Medical Image Analysis, 2022, 76, pp.102271. ⟨10.1016/j.media.2021.102271⟩ Journal articles hal-04588612v1
	Identifying health conditions associated with Alzheimer's disease up to 15 years before diagnosis: an agnostic study of French and British health records Thomas Nedelec , Baptiste Couvy-Duchesne , Fleur Monnet , Timothy Daly , Manon Ansart The Lancet Digital Health, 2022, ⟨10.1016/S2589-7500(21)00275-2⟩ Journal articles hal-03628268v1
	Deterministic Approximate EM Algorithm; Application to the Riemann Approximation EM and the Tempered EM Thomas Lartigue , Stanley Durrleman , Stéphanie Allassonnière Algorithms, 2022, Stochastic Algorithms and Their Applications, 15 (3), pp.78. ⟨10.3390/a15030078⟩ Journal articles hal-02513593v4
	Asymptotic Analysis of a Matrix Latent Decomposition Model Clément Mantoux , Stanley Durrleman , Stéphanie Allassonnière ESAIM: Probability and Statistics, 2022, 26, pp.208-242. ⟨10.1051/ps/2022004⟩ Journal articles hal-03674722v1
	Mixture of Conditional Gaussian Graphical Models for unlabelled heterogeneous populations in the presence of co-factors Thomas Lartigue , Stanley Durrleman , Stéphanie Allassonnière SN Computer Science, 2021, 2 (466), ⟨10.1007/s42979-021-00865-5⟩ Journal articles hal-02874192v5
	A Diffeomorphic Vector Field Approach to Analyze the Thickness of the Hippocampus from 7T MRI Alexis Guyot , Ana B Graciano Fouquier , Emilie Gerardin , Marie Chupin , Joan Glaunès IEEE Transactions on Biomedical Engineering, 2021, 68 (2), pp.393-403. ⟨10.1109/TBME.2020.2999941⟩ Journal articles hal-02359660v2
	AD Course Map charts Alzheimer’s disease progression Igor Koval , Alexandre Bône , Maxime Louis , Thomas Lartigue , Simona Bottani Scientific Reports, 2021, 11 (1), ⟨10.1038/s41598-021-87434-1⟩ Journal articles hal-01964821v3
	Predicting the Progression of Mild Cognitive Impairment Using Machine Learning: A Systematic, Quantitative and Critical Review Manon Ansart , Stéphane Epelbaum , Giulia Bassignana , Alexandre Bône , Simona Bottani Medical Image Analysis, 2021, 67, pp.101848. ⟨10.1016/j.media.2020.101848⟩ Journal articles hal-02337815v2
	A machine learning approach to screen for preclinical Alzheimer's disease Sinead Gaubert , Marion Houot , Federico Raimondo , Manon Ansart , Marie-Constance Corsi Neurobiology of Aging, 2021, 105, pp.205-216. ⟨10.1016/j.neurobiolaging.2021.04.024⟩ Journal articles hal-03261206v1
	Clinica: an open source software platform for reproducible clinical neuroscience studies Alexandre Routier , Ninon Burgos , Mauricio Diaz , Michael Bacci , Simona Bottani Frontiers in Neuroinformatics, 2021, 15, pp.689675. ⟨10.3389/fninf.2021.689675⟩ Journal articles hal-02308126v4
	Anomaly detection for the individual analysis of brain PET images Ninon Burgos , Jorge M. Cardoso , Jorge Samper-González , Marie-Odile Habert , Stanley Durrleman Journal of Medical Imaging, 2021, 8 (02), pp.024003. ⟨10.1117/1.JMI.8.2.024003⟩ Journal articles hal-03193306v1
	Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimer's disease Junhao Wen , Jorge Samper-González , Simona Bottani , Alexandre Routier , Ninon Burgos Neuroinformatics, 2021, 19 (1), pp.57-78. ⟨10.1007/s12021-020-09469-5⟩ Journal articles hal-02566361v2
	Gaussian Graphical Model exploration and selection in high dimension low sample size setting Thomas Lartigue , Simona Bottani , Stephanie Baron , Olivier Colliot , Stanley Durrleman IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, 43 (9), pp.3196-3213. ⟨10.1109/TPAMI.2020.2980542⟩ Journal articles hal-02504034v1
	Understanding the Variability in Graph Data Sets through Statistical Modeling on the Stiefel Manifold Clément Mantoux , Baptiste Couvy-Duchesne , Federica Cacciamani , Stéphane Epelbaum , Stanley Durrleman Entropy, 2021, 23 (4), pp.490. ⟨10.3390/e23040490⟩ Journal articles hal-03215733v1
	Changes in the use of psychotropic drugs during the course of Alzheimer's disease: A large‐scale longitudinal study of French medical records Manon Ansart , Stéphane Epelbaum , Marion Houot , Thomas Nedelec , Béranger Lekens Alzheimer's & Dementia: Translational Research & Clinical Interventions, 2021, 7 (1), pp.e12210. ⟨10.1002/trc2.12210⟩ Journal articles hal-03351244v1
	Are endocasts reliable proxies for brains? A 3D quantitative comparison of the extant human brain and endocast Jean Dumoncel , Gérard Subsol , Stanley Durrleman , Anne Bertrand , Edwin de Jager Journal of Anatomy, 2021, 238 (2), pp.480-488. ⟨10.1111/joa.13318⟩ Journal articles hal-02964453v1
	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 Baptiste Couvy-Duchesne , Johann Faouzi , Benoît Martin , Elina Thibeau-Sutre , Adam Wild Frontiers in Psychiatry, 2020, 11, ⟨10.3389/fpsyt.2020.593336⟩ Journal articles hal-03136463v1
	Predicting PET-derived Myelin Content from Multisequence MRI for Individual Longitudinal Analysis in Multiple Sclerosis Wen Wei , Emilie Poirion , Benedetta Bodini , Matteo Tonietto , Stanley Durrleman NeuroImage, 2020, 223C (117308), ⟨10.1016/j.neuroimage.2020.117308⟩ Journal articles hal-02922534v1
	Learning the clustering of longitudinal shape data sets into a mixture of independent or branching trajectories Vianney Debavelaere , Stanley Durrleman , Stéphanie Allassonnière International Journal of Computer Vision, 2020, ⟨10.1007/s11263-020-01337-8⟩ Journal articles hal-02283747v2
	Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation Junhao Wen , Elina Thibeau-Sutre , Mauricio Diaz-Melo , Jorge Samper-González , Alexandre Routier Medical Image Analysis, 2020, 63, pp.101694. ⟨10.1016/j.media.2020.101694⟩ Journal articles hal-02562504v2
	Learning the spatiotemporal variability in longitudinal shape data sets Alexandre Bône , Olivier Colliot , Stanley Durrleman International Journal of Computer Vision, 2020, 128, pp.2873-2896. ⟨10.1007/s11263-020-01343-w⟩ Journal articles hal-02091549v5
	Predicting PET-derived Demyelination from Multimodal MRI using Sketcher-Refiner Adversarial Training for Multiple Sclerosis Wen Wei , Emilie Poirion , Benedetta Bodini , Stanley Durrleman , Nicholas Ayache Medical Image Analysis, 2019, 58 (101546), ⟨10.1016/j.media.2019.101546⟩ Journal articles hal-02276634v1
	Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort Claire Cury , Stanley Durrleman , David Cash , Marco Lorenzi , Jennifer M Nicholas NeuroImage, 2019, 188, pp.282-290. ⟨10.1016/j.neuroimage.2018.11.063⟩ Journal articles inserm-01958916v1
	Neurite density is reduced in the presymptomatic phase of C9orf72 disease Junhao Wen , Hui Zhang , Daniel C Alexander , Stanley Durrleman , Alexandre Routier Journal of Neurology, Neurosurgery and Psychiatry, 2019, J Neurol Neurosurg Psychiatry, 90 (4), pp.387-94. ⟨10.1136/jnnp-2018-318994⟩ Journal articles hal-01907482v1
	Fluid-attenuated inversion recovery MRI synthesis from multisequence MRI using three-dimensional fully convolutional networks for multiple sclerosis Wen Wei , Emilie Poirion , Benedetta Bodini , Stanley Durrleman , Olivier Colliot Journal of Medical Imaging, 2019, 6 (01), ⟨10.1117/1.JMI.6.1.014005⟩ Journal articles hal-02042526v2
	Tribute to Anne Bertrand (1978–2018): Neuroradiologist, scientist, teacher and friend Didier Dormont , Noam Ben-Eliezer , Ninon Burgos , Olivier Colliot , Fabrizio de Vico Fallani Journal de Neuroradiologie / Journal of Neuroradiology, 2019, 46 (2), pp.155-159. ⟨10.1016/j.neurad.2019.01.001⟩ Journal articles hal-02265305v1
	Reduction of recruitment costs in preclinical AD trials. Validation of automatic pre-screening algorithm for brain amyloidosis Manon Ansart , Stéphane Epelbaum , Geoffroy Gagliardi , Olivier Colliot , Didier Dormont Statistical Methods in Medical Research, 2019, pp.096228021882303. ⟨10.1177/0962280218823036⟩ Journal articles hal-01964942v2
	Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data Jorge Samper-González , Ninon Burgos , Simona Bottani , Sabrina Fontanella , Pascal Lu NeuroImage, 2018, 183, pp.504-521. ⟨10.1016/j.neuroimage.2018.08.042⟩ Journal articles hal-01858384v2
	A sub-Riemannian modular framework for diffeomorphism based analysis of shape ensembles Barbara Gris , Stanley Durrleman , Alain Trouvé SIAM Journal on Imaging Sciences, 2018, 11, pp.802-833. ⟨10.1137/16M1076733⟩ Journal articles hal-01321142v2
	An Automated Pipeline for the Analysis of PET Data on the Cortical Surface Arnaud Marcoux , Ninon Burgos , Anne Bertrand , Marc Teichmann , Alexandre Routier Frontiers in Neuroinformatics, 2018, 12, ⟨10.3389/fninf.2018.00094⟩ Journal articles hal-01950933v1
	A Fanning Scheme for the Parallel Transport Along Geodesics on Riemannian Manifolds Maxime Louis , Benjamin Charlier , Paul Jusselin , Susovan Pal , Stanley Durrleman SIAM Journal on Numerical Analysis, 2018, 56 (4), pp.2563-2584. ⟨10.1137/17M1130617⟩ Journal articles hal-01560787v2
	Spatiotemporal Propagation of the Cortical Atrophy: Population and Individual Patterns Igor Koval , Jean-Baptiste Schiratti , Alexandre M Routier , Michael Bacci , Olivier Colliot Frontiers in Neurology, 2018, 9, pp.235. ⟨10.3389/fneur.2018.00235⟩ Journal articles hal-01910400v1
	Effect of Alzheimer's disease risk and protective factors on cognitive trajectories in subjective memory complainers: An INSIGHT‐preAD study Stefan Teipel , Enrica Cavedo , Simone Lista , Marie‐odile Habert , Marie‐claude Potier Alzheimer's & Dementia : the Journal of the Alzheimer's Association, 2018, 14 (9), pp.1126-1136. ⟨10.1016/j.jalz.2018.04.004⟩ Journal articles hal-03769199v1
	Revolution of Alzheimer Precision Neurology. Passageway of Systems Biology and Neurophysiology Harald Hampel , Nicola Toschi , Claudio Babiloni , Filippo Baldacci , Keith L Black Journal of Alzheimer's Disease, 2018, 64 (s1), pp.S47 - S105. ⟨10.3233/jad-179932⟩ Journal articles hal-01910402v1
	Double diffeomorphism: combining morphometry and structural connectivity analysis Pietro Gori , Olivier Colliot , Linda Marrakchi Kacem , Yulia Worbe , Alexandre Routier IEEE Transactions on Medical Imaging, 2018, 37 (9), pp.2033-2043. ⟨10.1109/TMI.2018.2813062⟩ Journal articles hal-01709847v2
	The endocranial shape of Australopithecus africanus : surface analysis of the endocasts of Sts 5 and Sts 60 Amélie Beaudet , Jean Dumoncel , Frikkie de Beer , Stanley Durrleman , Emmanuel Gilissen Journal of Anatomy, 2018, 232 (2), pp.296-303. ⟨10.1111/joa.12745⟩ Journal articles lirmm-01636811v1
	Early cognitive, structural and microstructural changes in c9orf72 presymptomatic carriers before 40 years of age Anne Bertrand , Junhao Wen , Daisy Rinaldi , Marion Houot , Sabrina Sayah JAMA neurology, 2018, 75 (2), pp.236-245. ⟨10.1001/jamaneurol.2017.4266⟩ Journal articles hal-01654000v1
	A Bayesian Framework for Joint Morphometry of Surface and Curve meshes in Multi-Object Complexes Pietro Gori , Olivier Colliot , Linda Marrakchi-Kacem , Yulia Worbe , Cyril Poupon Medical Image Analysis, 2017, 35, pp.458-474. ⟨10.1016/j.media.2016.08.011⟩ Journal articles hal-01359423v1
	Geodesic shape regression with multiple geometries and sparse parameters James Fishbaugh , Stanley Durrleman , Marcel Prastawa , Guido Gerig Medical Image Analysis, 2017, 39, pp.1-17 Journal articles hal-01566280v1
	A Bayesian mixed-effects model to learn trajectories of changes from repeated manifold-valued observations Jean-Baptiste Schiratti , Stéphanie Allassonniere , Olivier Colliot , Stanley Durrleman Journal of Machine Learning Research, 2017, 18, pp.1-33 Journal articles hal-01540367v3
	A Precision Medicine Initiative for Alzheimer's disease: the road ahead to biomarker-guided integrative disease modeling. Harald Hampel , Sid O’bryant , Stanley Durrleman , Erfan Younesi , Katrine Rojkova Climacteric, 2017, 20 (2), pp.107-118 Journal articles hal-01566281v1
	Amyloidosis and neurodegeneration result in distinct structural connectivity patterns in mild cognitive impairment Thomas Jacquemont , Fabrizio de Vico Fallani , Anne Bertrand , Stéphane Epelbaum , Alexandre Routier Neurobiology of Aging, 2017, ⟨10.1016/j.neurobiolaging.2017.03.023⟩ Journal articles hal-01518785v1
	Parsimonious Approximation of Streamline Trajectories in White Matter Fiber Bundles Pietro Gori , Olivier Colliot , Linda Marrakchi-Kacem , Yulia Worbe , Fabrizio de Vico Fallani IEEE Transactions on Medical Imaging, 2016, PP (99), ⟨10.1109/TMI.2016.2591080⟩ Journal articles hal-01346067v1
	Morphoarchitectural variation in South African fossil cercopithecoid endocasts Amélie Beaudet , Jean Dumoncel , Frikkie de Beer , Benjamin Duployer , Stanley Durrleman Journal of Human Evolution, 2016, 101, pp.65-78. ⟨10.1016/j.jhevol.2016.09.003⟩ Journal articles hal-01440065v1
	Lateral Temporal Lobe: An Early Imaging Marker of the Presymptomatic GRN Disease? Paola Caroppo , Marie-Odile Habert , Stanley Durrleman , Aurélie Funkiewiez , Vincent Perlbarg Journal of Alzheimer's Disease, 2015, 47 (3), pp.751-9. ⟨10.3233/JAD-150270⟩ Journal articles hal-01220380v1
	Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge. Esther E Bron , Marion Smits , Wiesje M van Der Flier , Hugo Vrenken , Frederik Barkhof NeuroImage, 2015, 111, pp.562-79. ⟨10.1016/j.neuroimage.2015.01.048⟩ Journal articles hal-01220123v1
	Morphometry of anatomical shape complexes with dense deformations and sparse parameters Stanley Durrleman , Marcel Prastawa , Nicolas Charon , Julie R Korenberg , S. Joshi NeuroImage, 2014, ⟨10.1016/j.neuroimage.2014.06.043⟩ Journal articles hal-01015771v1
	Toward a Comprehensive Framework for the Spatiotemporal Statistical Analysis of Longitudinal Shape Data Stanley Durrleman , Xavier Pennec , Alain Trouvé , José Braga , Guido Gerig International Journal of Computer Vision, 2013, 103 (1), pp.22-59. ⟨10.1007/s11263-012-0592-x⟩ Journal articles hal-00813825v1
	Spatiotemporal Dynamic Simulation of Acute Perfusion/Diffusion Ischemic Stroke Lesions Evolution: A Pilot Study Derived from Longitudinal MR Patient Data Islem Rekik , Stéphanie Allassonnière , Stanley Durrleman , Trevor Carpenter , Joanna M Wardlaw Computational and Mathematical Methods in Medicine, 2013, ⟨10.1155/2013/283593⟩ Journal articles hal-00935051v1
	Sparse Adaptive Parameterization of Variability in Image Ensembles Stanley Durrleman , Stéphanie Allassonnière , S. Joshi International Journal of Computer Vision, 2013, 101 (1), pp.161-183. ⟨10.1007/s11263-012-0556-1⟩ Journal articles hal-00817565v1
	Comparison of the endocranial ontogenies between chimpanzees and bonobos via temporal regression and spatiotemporal registration. Stanley Durrleman , Xavier Pennec , Alain Trouvé , Nicholas Ayache , José Braga Journal of Human Evolution, 2012, 62 (1), pp.74-88. ⟨10.1016/j.jhevol.2011.10.004⟩ Journal articles hal-00816048v1
	Registration, atlas estimation and variability analysis of white matter fiber bundles modeled as currents. Stanley Durrleman , Pierre Fillard , Xavier Pennec , Alain Trouvé , Nicholas Ayache NeuroImage, 2011, 55 (3), pp.1073-90. ⟨10.1016/j.neuroimage.2010.11.056⟩ Journal articles hal-00816044v1
	A Statistical Model for Quantification and Prediction of Cardiac Remodelling: Application to Tetralogy of Fallot Tommaso Mansi , Ingmar Voigt , Benedetta Leonardi , Xavier Pennec , Stanley Durrleman IEEE Transactions on Medical Imaging, 2011, 30 (9), pp.1605 - 1616. ⟨10.1109/TMI.2011.2135375⟩ Journal articles inria-00616185v1
	Statistical models of sets of curves and surfaces based on currents. Stanley Durrleman , Xavier Pennec , Alain Trouvé , Nicholas Ayache Medical Image Analysis, 2009, 13 (5), pp.793-808. ⟨10.1016/j.media.2009.07.007⟩ Journal articles hal-00816051v1
	Inferring brain variability from diffeomorphic deformations of currents: an integrative approach. Stanley Durrleman , Xavier Pennec , Alain Trouvé , Paul Thompson , Nicholas Ayache Medical Image Analysis, 2008, 12 (5), pp.626-37. ⟨10.1016/j.media.2008.06.010⟩ Journal articles hal-00816052v1

	Joint model with latent disease age Overcoming the need for reference time Juliette Ortholand , Stanley Durrleman , Sophie Tezenas Du Montcel Journées de Biostatistique 2023, G.D.R. "Statistique et Santé"; Société française de biométrie; Groupe "Biopharmacie et Santé" de la Société française de statistiques, Nov 2023, Toulouse, France Conference papers hal-04403927v1
	Longitudinal Modelling for Single Nucleotide Polymorphism Associations with Alzheimer’s Disease Nemo Fournier , Stanley Durrleman AAIC 2023 — Alzheimer's Association International Conference, Jul 2023, Amsterdam, Netherlands Conference papers hal-04169631v1
	Impact of sex and APOE-ε4 genotype on regional brain metabolism in Alzheimer's Disease Benoît Sauty , Stanley Durrleman ISBI 2023 - IEEE 20th International Symposium on Biomedical Imaging, Apr 2023, Cartagena (Colombia), Colombia Conference papers hal-03951468v1
	A Multimodal Disease Progression Model for Genetic Associations with Disease Dynamics Nemo Fournier , Stanley Durrleman Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, Oct 2023, Vancouver, Canada. pp.601-610, ⟨10.1007/978-3-031-43904-9_58⟩ Conference papers hal-04295080v1
	Advances in the Clinica software platform for clinical neuroimaging studies Omar El Rifai , Mauricio Diaz Melo , Ravi Hassanaly , Matthieu Joulot , Alexandre M Routier OHBM 2022 - Annual meeting of the Organization for Human Brain Mapping, Jun 2022, Glasgow, United Kingdom Conference papers hal-03728243v1
	Riemannian metric learning for progression modeling of longitudinal datasets Benoît Sauty , Stanley Durrleman ISBI 2022 - International Symposium on Biomedical Imaging, Mar 2022, Kolkata, India Conference papers hal-03549061v1
	Longitudinal Variational Autoencoders learn a Riemannian progression model for imaging data Benoît Sauty , Stanley Durrleman GeoMedIA Workshop 2022 - Geometric Deep Learning in Medical Image Analysis, Nov 2022, Amsterdam, Netherlands Conference papers hal-03800499v1
	Progression models for imaging data with Longitudinal Variational Auto Encoders Benoît Sauty , Stanley Durrleman MICCAI 2022, International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2022, Singapore, Singapore Conference papers hal-03701632v1
	Tau Protein Discrete Aggregates in Alzheimer's Disease: Neuritic Plaques and Tangles Detection and Segmentation using Computational Histopathology Kristyna Maňoušková , Valentin Abadie , Mehdi Ounissi , Gabriel Jimenez , Lev Stimmer SPIE Medical Imaging 2022, Feb 2022, San Diego, United States Conference papers hal-03522378v2
	Forecast Alzheimer's disease progression to better select patients for clinical trials Etienne Maheux , Juliette Ortholand , Colin Birkenbihl , Elina Thibeau-Sutre , Meemansa Sood ISCB 2021: 42nd Conference of the International Society for Clinical Biostatistics, Jul 2021, Online, France Conference papers hal-03483237v1
	Longitudinal self-supervision to disentangle inter-patient variability from disease progression Raphaël Couronné , Paul Vernhet , Stanley Durrleman MICCAI 2021 - 24th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2021, Strasbourg, France Conference papers hal-03491692v1
	Clinica: an open-source software platform for reproducible clinical neuroscience studies Omar El-Rifai , Mauricio Diaz Melo , Ravi Hassanaly , Matthieu Joulot , Alexandre M Routier MRI Together 2021 - A global workshop on Open Science and Reproducible MR Research, Dec 2021, Online, France Conference papers hal-03513920v1
	Learning Riemannian metric for disease progression modeling Samuel Gruffaz , Pierre-Emmanuel Poulet , Etienne Maheux , Bruno Jedynak , Stanley Durrleman NeurIPS 2021 - Thirty-fifth Conference on Neural Information Processing Systems, Dec 2021, Virtual event, France Conference papers hal-03485975v1
	Timing and order of pathological events in Alzheimer's disease: focus on the trajectory of the awareness of cognitive decline Federica Cacciamani , Arnaud Valladier , Etienne Maheux , Igor Koval , Stanley Durrleman AD/PD 2021 - 15thInternational Conference on Alzheimer’s and Parkinson’s Diseases and related neurological disorders, Mar 2021, Barcelone / Virtual, Spain Conference papers hal-03030182v1
	Forecast Parkinson Disease Progression to Better Select Patients into Trials Juliette Ortholand , Etienne Maheux , Igor Koval , Arnaud Valladier , Stanley Durrleman AD/PD 2021 - 15th International Conference on Alzheimer’s and Parkinson’s Diseases and related neurological disorders, Mar 2021, Online, France Conference papers hal-03145333v1
	Mixture modeling for identifying subtypes in disease course mapping Pierre-Emmanuel Poulet , Stanley Durrleman Information Processing in Medical Imaging, 27th International Conference, Jun 2021, Virtual event, France. ⟨10.1007/978-3-030-78191-0_44⟩ Conference papers hal-03276811v2
	Learning joint shape and appearance representations with metamorphic auto-encoders Alexandre Bône , Paul Vernhet , Olivier Colliot , Stanley Durrleman MICCAI 2020 - 23rd International Conference on Image Computing and Computer Assisted Interventions, Oct 2020, Lima / Virtual, Peru Conference papers hal-03136537v1
	Awareness of cognitive decline through the continuum of Alzheimer’s disease and its association to APOE-ε4 and amyloid load Federica Cacciamani , Arnaud Valladier , Etienne Maheux , Igor Koval , Stanley Durrleman AAIC 2020, Jul 2020, Amsterdam, Netherlands Conference papers halshs-03030179v1
	Prediction of biomarkers' trajectory in Huntington's disease: application to precise clinical trial design Igor Koval , Thomas Dighiero , Rachael I Scahill , Alexandra Durr , Stanley Durrleman CompAge 2020 - Computational approaches for ageing and age-related diseases, Sep 2020, Paris, France Conference papers hal-03137994v1
	New longitudinal and deep learning pipelines in the Clinica software platform Alexandre Routier , Arnaud Marcoux , Mauricio Diaz Melo , Jorge Samper-González , Adam Wild OHBM 2020 - Annual meeting of the Organization for Human Brain Mapping, Jun 2020, Montreal / Virtual, Canada Conference papers hal-02549242v1
	Towards cross-cohort estimation of cognitive decline in neurodegenerative diseases Etienne Maheux , Igor Koval , Damiano Archetti , Alberto Redolfi , Stanley Durrleman VPH 2020 - Virtual Physiological Human, Aug 2020, Paris / Virtual, France Conference papers hal-03137870v1
	Longitudinal comparison of subjects with and without Sleep Disorders in Parkinson's Disease Raphäel Couronné , Arnaud Valladier , Marie Vidailhet , Jean Christophe C Corvol , Stephane Lehericy VPH 2020 - Virtual Physiological Human, Aug 2020, Paris / Virtual, France Conference papers hal-02945917v2
	Forecast of the MMSE score up to 6 years ahead, with cross-cohort replications Etienne Maheux , Igor Koval , Damiano Archetti , Alberto Redolfi , Stanley Durrleman CompAge 2020 - Computational approaches for ageing and age-related diseases, Sep 2020, Paris / Virtual, France Conference papers hal-03137878v1
	Hierarchical modeling of Alzheimer's disease progression from a large longitudinal MRI data set Alexandre Bône , Benoît Martin , Maxime Louis , Olivier Colliot , Stanley Durrleman VPH 2020 - Virtual Physiological Human 2020, Aug 2020, Paris / Virtual, France Conference papers hal-02979176v1
	Riemannian Geometry Learning for Disease Progression Modelling Maxime Louis , Raphäel Couronné , Igor Koval , Benjamin Charlier , Stanley Durrleman Information Processing in Medical Imaging - IPMI 2019, Jun 2019, Hong-Kong, China. pp.542-553, ⟨10.1007/978-3-030-20351-1_42⟩ Conference papers hal-02429839v1
	How serious is data leakage in deep learning studies on Alzheimer's disease classification? Junhao Wen , Elina Thibeau--Sutre , Jorge Samper-González , Alexandre M Routier , Simona Bottani 2019 OHBM Annual meeting - Organization for Human Brain Mapping, Jun 2019, Rome, Italy Conference papers hal-02105133v2
	Motor abnormalities progression in prodromal PD Raphäel Couronné , Marie Vidailhet , Graziella Mangone , Stéphane Lehéricy , Stanley Durrleman AD/PD 2019 - 14th International Conference on Alzheimer's and Parkinson's Diseases and related neurological disorders, Mar 2019, Lisbon, Portugal Conference papers hal-02276297v1
	Hierarchical modeling of Alzheimer's disease progression from a large longitudinal MRI data set Alexandre Bône , Benoît Martin , Maxime Louis , Olivier Colliot , Stanley Durrleman OHBM 2019 - 25th Annual Meeting of the Organization for Human Brain Mapping, Jun 2019, Roma, Italy Conference papers hal-02090275v1
	Beware of feature selection bias! Example on Alzheimer's disease classification from diffusion MRI Junhao Wen , Jorge Samper-González , Alexandre M Routier , Simona Bottani , Stanley Durrleman 2019 OHBM Annual Meeting - Organization for Human Brain Mapping, Jun 2019, Rome, Italy Conference papers hal-02105134v2
	Deciphering the progression of PET alterations using surface-based spatiotemporal modeling Igor Koval , Arnaud Marcoux , Ninon Burgos , Stéphanie Allassonnière , Olivier Colliot OHBM 2019 - Annual meeting of the Organization for Human Brain Mapping, Jun 2019, Rome, Italy Conference papers hal-02134909v1
	Learning low-dimensional representations of shape data sets with diffeomorphic autoencoders Alexandre Bône , Maxime Louis , Olivier Colliot , Stanley Durrleman IPMI 2019 : Information Processing in Medical Imaging, Jun 2019, Hong-Kong, China Conference papers hal-01963736v2
	Learning disease progression models with longitudinal data and missing values Raphäel Couronné , Marie Vidailhet , Jean-Christophe Corvol , Stéphane Lehéricy , Stanley Durrleman ISBI 2019 - International Symposium on Biomedical Imaging, Apr 2019, Venice, Italy Conference papers hal-02091571v2
	Clustering of longitudinal shape data sets using mixture of separate or branching trajectories Vianney Debavelaere , Alexandre Bône , Stanley Durrleman , Stéphanie Allassonnière Medical Image Computing and Computer Assisted Intervention -- MICCAI, Oct 2019, Shenzhen, China. pp.66-74 Conference papers hal-02103355v1
	Auto-encoding meshes of any topology with the current-splatting and exponentiation layers Alexandre Bône , Olivier Colliot , Stanley Durrleman Geometry Meets Deep Learning @ ICCV 2019, Oct 2019, Séoul, South Korea Conference papers hal-02087586v2
	New advances in the Clinica software platform for clinical neuroimaging studies Alexandre Routier , Arnaud Marcoux , Mauricio Diaz Melo , Jérémy Guillon , Jorge Samper-González OHBM 2019 - Annual Meeting on Organization for Human Brain Mapping, Jun 2019, Roma, Italy. ⟨10.1016/j.neuroimage.2011.09.015⟩ Conference papers hal-02132147v2
	Prediction of future cognitive scores and dementia onset in Mild Cognitive Impairment patients Manon Ansart , Ninon Burgos , Olivier Colliot , Didier Dormont , Stanley Durrleman OHBM 2019 - Organization for Human Brain Mapping Conference, Jun 2019, Rome, Italy Conference papers hal-02098427v2
	Comparison of DTI Features for the Classification of Alzheimer's Disease: A Reproducible Study Junhao Wen , Jorge Samper-Gonzalez , Simona Bottani , Alexandre Routier , Ninon Burgos OHBM 2018 - Organization for Human Brain Mapping Annual Meeting, Jun 2018, Singapour, Singapore Conference papers hal-01758206v3
	Clinica: an open source software platform for reproducible clinical neuroscience studies Alexandre Routier , Jérémy Guillon , Ninon Burgos , Jorge Samper-Gonzalez , Junhao Wen Annual meeting of the Organization for Human Brain Mapping - OHBM 2018, Jun 2018, Singapore, Singapore Conference papers hal-01760658v1
	Design of a decision support system for predicting the progression of Alzheimer’s disease Manon Ansart , Igor Koval , Anne Bertrand , Didier Dormont , Stanley Durrleman Alzheimer's Association International Conference, Jul 2018, Chicago, United States. pp.P433, ⟨10.1016/j.jalz.2018.06.371⟩ Conference papers hal-01988912v1
	Using diffusion MRI for classification and prediction of Alzheimer's Disease: a reproducible study Junhao Wen , Jorge Samper-Gonzalez , Simona Bottani , Alexandre Routier , Ninon Burgos AAIC 2018 - Alzheimer's Association International Conference, Jul 2018, Chicago, United States Conference papers hal-01758167v2
	Reproducible evaluation of Alzheimer's Disease classification from MRI and PET data Jorge Samper-Gonzalez , Simona Bottani , Ninon Burgos , Sabrina Fontanella , Pascal Lu Annual meeting of the Organization for Human Brain Mapping - OHBM 2018, Jun 2018, Singapour, Singapore Conference papers hal-01761666v1
	A new approach to quantify enamel thickness distribution and the enamel-dentine junction topography in primate teeth Clément Zanolli , Margot Cantaloube , Jean Dumoncel , Laura Martin-Frances , Priscilla Bayle SMEF 2018 - 10e Symposium de Morphométrie et Évolution des Formes, Laboratoire PACEA (UMR 5199), LabEx des Sciences Archéologiques de Bordeaux (France), Jun 2018, Bordeaux, France Conference papers hal-03154905v1
	Learning distributions of shape trajectories from longitudinal datasets: a hierarchical model on a manifold of diffeomorphisms Alexandre Bône , Olivier Colliot , Stanley Durrleman CVPR 2018 - Computer Vision and Pattern Recognition 2018, Jun 2018, Salt Lake City, United States Conference papers hal-01744538v3
	Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training Wen Wei , Emilie Poirion , Benedetta Bodini , Stanley Durrleman , Nicholas Ayache MICCAI 2018 – 21st International Conference On Medical Image Computing & Computer Assisted Intervention, Sep 2018, Granada, Spain. ⟨10.1007/978-3-030-00931-1_59⟩ Conference papers hal-01810822v1
	Deformetrica 4: an open-source software for statistical shape analysis Alexandre Bône , Maxime Louis , Benoît Martin , Stanley Durrleman ShapeMI @ MICCAI 2018 - Workshop on Shape in Medical Imaging, Sep 2018, Granada, Spain Conference papers hal-01874752v3
	NODDI Highlights Promising New Markers In Presymptomatic C9orf72 Carriers Junhao Wen , Hui Zhang , Daniel Alexander , Stanley Durrleman , Alexandre Routier OHBM 2018 - Organization for Human Brain Mapping Annual Meeting, Jun 2018, Singapour, Singapore Conference papers hal-01758137v1
	FLAIR MR Image Synthesis By Using 3D Fully Convolutional Networks for Multiple Sclerosis Wen Wei , Emilie Poirion , Benedetta Bodini , Stanley Durrleman , Olivier Colliot ISMRM-ESMRMB 2018 - Joint Annual Meeting, Jun 2018, Paris, France. pp.1-6 Conference papers hal-01723070v1
	A pipeline for the analysis of 18F-FDG PET data on the cortical surface and its evaluation on ADNI Arnaud Marcoux , Ninon Burgos , Anne Bertrand , Alexandre Routier , Junhao Wen Annual meeting of the Organization for Human Brain Mapping - OHBM 2018, Jun 2018, Singapour, Singapore Conference papers hal-01757646v1
	Early Diagnosis of Alzheimer’s Disease Using Subject-Specific Models of FDG-PET Data Ninon Burgos , Jorge Samper-González , Jorge M. Cardoso , Stanley Durrleman , Sébastien Ourselin AAIC 2017 - Alzheimer's Association International Conference, Jul 2017, London, United Kingdom. pp.1-2, ⟨10.1016/j.jalz.2017.06.1618⟩ Conference papers hal-01621383v1
	Yet Another ADNI Machine Learning Paper? Paving The Way Towards Fully-reproducible Research on Classification of Alzheimer's Disease Jorge Samper-Gonzalez , Ninon Burgos , Sabrina Fontanella , Hugo Bertin , Marie-Odile Habert Machine Learning in Medical Imaging 2017, Sep 2017, Quebec City, Canada. pp.8 Conference papers hal-01578479v1
	Prediction of amyloidosis from neuropsychological and MRI data for cost effective inclusion of pre-symptomatic subjects in clinical trials Manon Ansart , Stéphane Epelbaum , Geoffroy Gagliardi , Olivier Colliot , Didier Dormont Multimodal Learning for Clinical Decision Support, Sep 2017, Quebec City, Canada Conference papers hal-01578422v1
	Individual Analysis of Molecular Brain Imaging Data Through Automatic Identification of Abnormality Patterns Ninon Burgos , Jorge Samper-González , Anne Bertrand , Marie-Odile Habert , Sébastien Ourselin Computational Methods for Molecular Imaging - [MICCAI 2017 Satellite Workshop], Sep 2017, Quebec City, Canada Conference papers hal-01567343v1
	Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networks Igor Koval , Jean-Baptiste Schiratti , Alexandre Routier , Michael Bacci , Olivier Colliot Medical Image Computing and Computer Assisted Intervention, Sep 2017, Quebec City, Canada Conference papers hal-01540828v1
	White Matter Fiber Segmentation Using Functional Varifolds Kuldeep Kumar , Pietro Gori , Benjamin Charlier , Stanley Durrleman , Olivier Colliot MFCA 2017 - 6th MICCAI workshop on Mathematical Foundations of Computational Anatomy, Sep 2017, Québec, Canada. pp.92-100 Conference papers hal-01589649v1
	Parallel transport in shape analysis : a scalable numerical scheme Maxime Louis , Alexandre Bône , Benjamin Charlier , Stanley Durrleman Geometric Science of Information, Nov 2017, Paris, France Conference papers hal-01565478v1
	Diagnosis of Alzheimer’s Disease Through Identification of Abnormality Patterns in FDG PET Data Ninon Burgos , Jorge Samper-González , Anne Bertrand , Marie-Odile Habert , Sébastien Ourselin 30th Annual Congress of the European Association of Nuclear Medicine (EANM), Oct 2017, Vienna, Austria. pp.253 - 254, ⟨10.1007/s00259-017-3822-1⟩ Conference papers hal-01632509v1
	Prediction of the progression of subcortical brain structures in Alzheimer's disease from baseline Alexandre Bône , Maxime Louis , Alexandre Routier , Jorge Samper , Michael Bacci 6th MICCAI Workshop on Mathematical Foundations of Computational Anatomy, Sep 2017, Quebec City, Canada Conference papers hal-01563587v2
	Selection of amyloid positive pre-symptomatic subjects using automatic analysis of neuropsychological and MRI data for cost effective inclusion procedures in clinical trials Manon Ansart , Stéphane Epelbaum , Olivier Colliot , Didier Dormont , Bruno Dubois Clinical Trials for Alzheimer's Disease, Nov 2017, Boston, United States. pp.295 Conference papers hal-02098434v2
	Spatio-Temporal Shape Analysis of Cross-Sectional Data for Detection of Early Changes in Neurodegenerative Disease Claire Cury , Marc M Lorenzi , David M Cash , Jennifer M Nicholas , Alexandre M Routier SeSAMI 2016 - First International Workshop Spectral and Shape Analysis in Medical Imaging, Sep 2016, Athens, Greece. pp.63 - 75, ⟨10.1007/978-3-319-51237-2_6⟩ Conference papers hal-01440061v1
	How to build an average model when samples are variably incomplete? Application to fossil data Jean Dumoncel , Gérard Subsol , Stanley Durrleman , Jean Pierre Jessel , Amélie Beaudet Computer Vision and Pattern Recognition Workshops (CVPRW 2016), Jun 2016, Las Vegas, United States. pp.541--548, ⟨10.1109/CVPRW.2016.74⟩ Conference papers lirmm-01381310v1
	Assessment of an iconic-geometric nonlinear registration method for deep brain stimulation (DBS) planning Ana B. Graciano Fouquier , Eric Bardinet , Marie-Laure Welter , Carine Karachi , Jérôme Yelnik Organization for Human Brain Mapping (OHBM) 2015, Jun 2015, Honolulu, Hawaii, United States Conference papers hal-01187468v1
	A mixed-effects model with time reparametrization for longitudinal univariate manifold-valued data Jean-Baptiste Schiratti , Stéphanie Allassonniere , Alexandre Routier , Olivier Colliot , Stanley Durrleman IPMI - Information Processing in Medical Imaging , Sebastien Ourselin, Daniel C. Alexander, Carl-Fredrik Westin, M. Jorge Cardoso, Jun 2015, Sleat, Isle of Skye, United Kingdom. pp.564-575 Conference papers hal-01163213v1
	Learning spatiotemporal trajectories from manifold-valued longitudinal data Jean-Baptiste Schiratti , Stéphanie Allassonniere , Olivier Colliot , Stanley Durrleman Neural Information Processing Systems, Dec 2015, Montréal, Canada Conference papers hal-01163373v3
	Unified analysis of shape and structural connectivity of neural pathways Pietro Gori , Olivier Colliot , Linda Marrakchi-Kacem , Yulia Worbe , Alexandre Routier Organisation for Human Brain Mapping, 2015, Honolulu, United States Conference papers hal-01187461v1
	Deformetrica: a software for statistical analysis of anatomical shapes Alexandre Routier , Marcel Prastawa , Benjamin Charlier , Cédric Doucet , Joan Alexis Glaunès 21st Annual Meeting of the Organization for Human Brain Mapping, OHBM 2015, Jun 2015, Honolulu, United States Conference papers hal-01187469v1
	A sub-Riemannian modular approach for diffeomorphic deformations Barbara Gris , Stanley Durrleman , Alain Trouvé 2nd conference on Geometric Science of Information, Oct 2015, Paris-Saclay, France Conference papers hal-01191540v1
	A modular multi-scale model to build atlases of shapes with large deformations Barbara Gris , Stanley Durrleman , Alain Trouvé Organization for Human Brain Mapping 2015, Jun 2015, Honolulu, United States. pp.1 Conference papers hal-01191547v1
	Measuring the thickness of the hippocampal pyramidal layer using in vivo 7T MRI Emilie Gérardin , Joan Alexis Glaunès , Marie Chupin , Ana B. Graciano Fouquier , Kevin Roussel Annual Meeting of the Organization for Human Brain Mapping, OHBM 2015, 2015, Honolulu, United States Conference papers hal-01188833v1
	Joint Morphometry of Fiber Tracts and Gray Matter structures using Double Diffeomorphisms Pietro Gori , Olivier Colliot , Linda Marrakchi-Kacem , Yulia Worbe , Alexandre Routier IPMI - Information Processing in Medical Imaging, Jun 2015, Isle of Skye, United Kingdom. pp.275-287, ⟨10.1007/978-3-319-19992-4_21⟩ Conference papers hal-01142628v1
	Comment caractériser la variabilité d'une surface 3D ? Analyse à partir d'exemples en anatomie comparée Jean Dumoncel , Gérard Subsol , Stanley Durrleman , José Braga , Amélie Beaudet GTMG 2015 - Journées du Groupe de Travail en Modélisation Géométrique, Apr 2015, Poitiers, France. pp.1-9 Conference papers hal-03209334v1
	Mixed-effects model for the spatiotemporal analysis of longitudinal manifold-valued data Jean-Baptiste Schiratti , Stéphanie Allassonnière , Olivier Colliot , Stanley Durrleman 5th MICCAI Workshop on Mathematical Foundations of Computational Anatomy, Oct 2015, Munich, Germany Conference papers hal-01245905v1
	Identification of Homo-like features in virtually rendered South African australopiths endocasts Amélie Beaudet , Jean Dumoncel , Francis Thackeray , Stanley Durrleman , Gérard Subsol Symposium Le Registre Fossile Humain Africain / The African Human Fossil Record (2014), Sep 2014, Toulouse, France. pp.(electronic medium) Conference papers hal-03266927v1
	Diffeomorphic Shape Trajectories for Improved Longitudinal Segmentation and Statistics Prasanna Muralidharan , James Fishbaugh , Hans J. Johnson , Stanley Durrleman , Jane S. Paulsen 17th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, Sep 2014, Boston, United States. pp.49 - 56, ⟨10.1007/978-3-319-10443-0_7⟩ Conference papers hal-01108237v1
	A Prototype Representation to Approximate White Matter Bundles with Weighted Currents Pietro Gori , Olivier Colliot , Linda Marrakchi-Kacem , Yulia Worbe , Fabrizio de Vico Fallani MICCAI 2014 - 17th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2014, Boston, United States Conference papers hal-01010702v1
	Geodesic regression of image and shape data for improved modeling of 4D trajectories James Fishbaugh , Marcel Prastawa , Guido Gerig , Stanley Durrleman ISBI 2014 - 11th International Symposium on Biomedical Imaging, Apr 2014, Beijin, China. pp.385 - 388, ⟨10.1109/ISBI.2014.6867889⟩ Conference papers hal-01108243v1
	Landmark-free 3D method for comparison of fossil hominins and hominids based on endocranium and EDJ shapes Jean Dumoncel , Stanley Durrleman , José Braga , Jean Pierre Jessel , Gérard Subsol 83rd Annual Meeting of the American Association of Physical Anthropologists (2014), AAPA: American Association of Physical Anthropologists, Apr 2014, Calgary, Canada. pp.110-111 Conference papers hal-00935054v1
	Iconic-Geometric Nonlinear Registration of a Basal Ganglia Atlas for Deep Brain Stimulation Planning Ana B. Graciano Fouquier , Stanley Durrleman , Jérôme Yelnik , Sara Fernández-Vidal , Eric Bardinet 2nd International MICCAI Workshop on Deep Brain Stimulation Methodological Challenges (DBSMC), Sep 2014, Boston, United States Conference papers hal-01108191v1
	Multimodal neuroimaging study in presymptomatic GRN mutations carriers Paola Caroppo , Marie-Odile Habert , Stanley Durrleman , Hugo Bertin , Alexandre Routier 9th International Conference on Frontotemporal Dementias (ICFTD), Oct 2014, Vancouver, Canada Conference papers hal-01114134v1
	Evaluation of morphometric descriptors of deep brain structures for the automatic classification of patients with Alzheimer’s disease, mild cognitive impairment and elderly controls Alexandre Routier , Pietro Gori , Ana B. Graciano Fouquier , Sophie Lecomte , Olivier Colliot MICCAI Workshop, Sep 2014, Cambridge, United States. pp.8 Conference papers hal-01099081v1
	Outils statistiques pour l'analyse de formes dans des bases de données longitudinales : Applications à la neuro-anatomie normale et pathologique Stanley Durrleman Reconnaissance de Formes et Intelligence Artificielle (RFIA) 2014, Jun 2014, Rouen, France. 6 p Conference papers hal-00988878v1
	Geodesic image regression with a sparse parameterization of diffeomorphisms James Fishbaugh , Marcel Prastawa , Guido Gerig , Stanley Durrleman Geometric Science of Information, Aug 2013, Paris, France. pp.95-102 Conference papers hal-00935052v1
	Geodesic Shape Regression in the Framework of Currents James Fishbaugh , Marcel Prastawa , Guido Gerig , Stanley Durrleman Information Processing in Medical Imaging, Jul 2013, Asilomar, United States. pp.718-729 Conference papers hal-00935053v1
	Towards joint morphometry of white matter tracts and gray matter surfaces Pietro Gori , Olivier Colliot , Yulia Worbe , Linda Marrakchi-Kacem , Sophie Lecomte Human Brain Mapping, 2013, Seattle, United States Conference papers hal-00816138v1
	Bayesian Atlas Estimation for the Variability Analysis of Shape Complexes Pietro Gori , Olivier Colliot , Yulia Worbe , Linda Marrakchi-Kacem , Sophie Lecomte MICCAI 2013 : Medical Image Computing and Computer Assisted Intervention, Sep 2013, Nagoya, Japan. pp.267-274, ⟨10.1007/978-3-642-40811-3_34⟩ Conference papers hal-01188791v1
	Deformetrics: describing and describing anatomical phenotypes with space deformations Stanley Durrleman Rank Prize Funds Symposium on Medical Imaging meets Computer Vision, 2013, Grasmere, United Kingdom Conference papers hal-00935055v1
	Improving Efficiency of Data Assimilation Procedure for a Biomechanical Heart Model by Representing Surfaces as Currents Alexandre Imperiale , Alexandre Routier , Stanley Durrleman , Philippe Moireau FIMH - 7th International Conference on Functional Imaging and Modeling of the Heart - 2013, Jun 2013, London, United Kingdom. pp.342-351, ⟨10.1007/978-3-642-38899-6_41⟩ Conference papers hal-00841442v1
	A framework for longitudinal data analysis via shape regression James Fishbaugh , Stanley Durrleman , Joseph Piven , Guido Gerig SPIE - Medical Imaging 2012: Image Processing, Feb 2012, San Diego, United States. ⟨10.1117/12.911721⟩ Conference papers hal-00818428v1
	Topology preserving atlas construction from shape data without correspondence using sparse parameters. Stanley Durrleman , Marcel Prastawa , Julie R Korenberg , Sarang Joshi , Alain Trouvé MICCAI - Medical Image Computing And Computer Assisted Intervention, Oct 2012, Nice, France. pp.223-230, ⟨10.1007/978-3-642-33454-2_28⟩ Conference papers hal-00818415v1
	4D spatio-temporal perfusion-diffusion evolution scenarios estimation in acute-subacute ischemic stroke Islem Rekik , Stéphanie Allassonniere , Stanley Durrleman , Carpenter Trevor , Joanna Wardlaw ISMRM - International Society for Magnetic Resonance in Medicine, May 2012, Melbourne, Australia Conference papers hal-00818430v1
	Analysis of longitudinal shape variability via subject specific growth modeling. James Fishbaugh , Marcel Prastawa , Stanley Durrleman , Joseph Piven , Guido Gerig MICCAI - Medical Image Computing And Computer Assisted Intervention, Oct 2012, Nice, France. pp.731-738, ⟨10.1007/978-3-642-33415-3_90⟩ Conference papers hal-00818412v1
	Dynamic Patient-specific Modeling of Ischemic Stroke Lesion Evolution: From Presentation to Final Damage using Diffusion, Perfusion and T2 MR imaging Islem Rekik , Stéphanie Allassonniere , Carpenter Trevor , Joanna Wardlaw , Stanley Durrleman XXI European Stroke Conference, May 2012, Lisbon, Portugal Conference papers hal-00818432v1
	Longitudinal Growth Modeling of Discrete-Time Functions with Application to DTI Tract Evolution in Early Neurodevelopment Anuja Sharma , Stanley Durrleman , John Gilmore , Guido Gerig ISBI - International Symposium on Biomedical Imaging, May 2012, Barcelone, Spain. pp.1397-1399, ⟨10.1109/ISBI.2012.6235829⟩ Conference papers hal-00818411v1
	Optimal data-driven sparse parameterization of diffeomorphisms for population analysis. Stanley Durrleman , Marcel Prastawa , Guido Gerig , Sarang Joshi 22nd International Conference, IPMI 2011, Jul 2011, Kloster Irsee, Germany. pp.123-34, ⟨10.1007/978-3-642-22092-0_11⟩ Conference papers hal-00818405v1
	Estimation of smooth growth trajectories with controlled acceleration from time series shape data. James Fishbaugh , Stanley Durrleman , Guido Gerig MICCAI - Medical Image Computing And Computer Assisted Intervention, Sep 2011, Toronto, Canada. pp.401-418, ⟨10.1007/978-3-642-23629-7_49⟩ Conference papers hal-00818406v1
	Measuring the inter-species variability of endocast growth using shape regression and spatiotemporal registration Stanley Durrleman , Xavier Pennec , Alain Trouvé , Nicholas Ayache , José Braga Abstracts of the 79-th annual meeting of the American Assoc. of Physical Anthropologists (AAPA), April 2010, Albuquerque, Jul 2010, Albuquerque, United States. pp.78-79 Conference papers hal-00875361v1
	Lung CT registration combining intensity, curves and surfaces V. Gorbunova , Stanley Durrleman , Pechin Lo , Xavier Pennec , M. de Bruijne Proceedings of the Seventh IEEE International Symposium on Biomedical Imaging 2010 (ISBI'10), 2010, Rotterdam, Netherlands. pp.340--343, ⟨10.1109/ISBI.2010.5490341⟩ Conference papers inria-00616166v1
	Comparison of the endocast growth of chimpanzees and bonobos via temporal regression and spatiotemporal registration Stanley Durrleman , Xavier Pennec , Alain Trouvé , Nicholas Ayache , José Braga Miccai Workshop on Spatio-Temporal Image Analysis for Longitudinal and Time-Series Image Data, 2010, Beijing, China, China Conference papers inria-00616154v1
	Statistical Analysis of the Anatomy: From Digital Patient to Digital Population Kristin Mcleod , Tommaso Mansi , Stanley Durrleman , Maxime Sermesant , Xavier Pennec First VPH Conference (VPH2010), Jul 2010, Brussels, Belgium Conference papers hal-00813775v1
	Error Assessment on myocardial fiber orientations from DTI measurements Nicolas Toussaint , Stanley Durrleman , Maxime Sermesant , Sebastian Kozerke , Philip G. Batchelor Book of Abstracts, European Society of Magnetic Resonance in Medicine (ESMRMB) 26th Annual Scientific Meeting, 2009, Antalya, Turkey, Turkey. pp.59, ⟨10.1007/s10334-009-0175-1⟩ Conference papers inria-00616173v1
	A Statistical Model of Right Ventricle in Tetralogy of Fallot for Prediction of Remodelling and Therapy Planning Tommaso Mansi , Stanley Durrleman , Boris Bernhardt , Maxime Sermesant , Hervé Delingette MICCAI 2009 - Medical Image Computing and Computer Assisted Intervention, 2009, London, UK, United Kingdom. pp.214-221, ⟨10.1007/978-3-642-04268-3_27⟩ Conference papers inria-00616175v1
	A statistical model of white matter fiber bundles based on currents. Stanley Durrleman , Pierre Fillard , Xavier Pennec , Alain Trouvé , Nicholas Ayache International Conference on Information Processing in Medical Imaging, Jul 2009, Williamsburg, Va, United States. pp.114-25, ⟨10.1007/978-3-642-02498-6_10⟩ Conference papers inria-00502721v1
	Curve- and surface-based registration of lung CT images via currents V. Gorbunova , Stanley Durrleman , Pechin Lo , Xavier Pennec , M. de Bruijne Second International Workshop on Pulmonary Image Analysis, 2009, London United Kingdom, United Kingdom. pp.15--25 Conference papers inria-00616136v1
	Spatiotemporal Atlas Estimation for Developmental Delay Detection in Longitudinal Datasets Stanley Durrleman , Xavier Pennec , Alain Trouvé , Guido Gerig , Nicholas Ayache Medical Image Computing and Computer-Assisted Intervention (MICCAI'09), Part I, 2009, London, UK, United States. pp.297--304, ⟨10.1007/978-3-642-04268-3_37⟩ Conference papers inria-00616113v1
	A Forward Model to Build Unbiased Atlases from Curves and Surfaces Stanley Durrleman , Xavier Pennec , Alain Trouvé , Nicholas Ayache MFCA 2008 - Mathematical Foundations of Computational Anatomy, Oct 2008, New-York, United States. pp.68-79 Conference papers inria-00632875v1
	Sparse approximation of currents for statistics on curves and surfaces. Stanley Durrleman , Xavier Pennec , Alain Trouvé , Nicholas Ayache MICCAI 2008 - Medical Image Computing And Computer Assisted Intervention, Sep 2008, New York, United States. pp.390-398, ⟨10.1007/978-3-540-85990-1_47⟩ Conference papers hal-00818375v1
	Measuring brain variability via sulcal lines registration: a diffeomorphic approach. Stanley Durrleman , Xavier Pennec , Alain Trouvé , Nicholas Ayache International Conference on Medical Imaging and Computer Assisted Intervention, Oct 2007, Brisbane, Australia. pp.675-82, ⟨10.1007/978-3-540-75757-3_82⟩ Conference papers inria-00502704v1

	Longitudinal and survival joint prediction: time reparameterization in amyotrophic lateral sclerosis context Juliette Ortholand , Stanley Durrleman , Sophie Tezenas Du Montcel ISCB 2023 - 44th Annual Conference of the International Society for Clinical Biostatistics, Aug 2023, Milan, Italy Conference poster hal-04216888v1
	Non-parametric modeling for dopaminergic treatment effect in Parkinson's disease Pierre-Emmanuel Poulet , Bruno Jedynak , Zoltan Mari , Stanley Durrleman AD/PD 2023 - 17th International Conference on Alzheimer‘s & Parkinson‘s Diseases, Mar 2023, Goteborg, Sweden Conference poster hal-04158200v1
	Gender and spinal/bulbar onset interaction on ALS progression Juliette Ortholand , Igor Koval , Pierre-François Pradat , Sophie Tezenas Du Montcel , Stanley Durrleman ENCALS 2022 - European Network to Cure ALS meeting, Jun 2022, Edinburgh, United Kingdom Conference poster hal-03782549v1
	Learning treatment effect in neurodegenerative diseases with a Bayesian mixed-effect model Pierre-Emmanuel Poulet , Bruno Jedynak , Stanley Durrleman 43rd Annual Conference of the International Society for Clinical Biostatistics (ISCB), Aug 2022, Newcastle upon Tyne, United Kingdom Conference poster hal-03766119v1
	Gender and spinal/bulbar onset interaction on ALS progression Juliette Ortholand , Pierre-François Pradat , Sophie Tezenas Du Montcel , Stanley Durrleman ISCB 2022 - 43rd Annual Conference of the International Society for Clinical Biostatistics, Aug 2022, Newcastle, United Kingdom Conference poster hal-03782607v1
	Covariate-Aware Longitudinal Modelling for Neurodegenerative Diseases Nemo Fournier , Stanley Durrleman 43rd Annual Conference of the International Society for Clinical Biostatistics (ISCB), Aug 2022, Newcastle, United Kingdom. Conference poster hal-03832976v1
	Predicting symptom onset in Parkinson's disease with latent mixed-effect model Pierre-Emmanuel Poulet , Stanley Durrleman , Jean Christophe Corvol AD/PD 2021 - 15th International Conference on Alzheimer‘s & Parkinson‘s Diseases, Mar 2021, Barcelone / Virtual, Spain Conference poster hal-03136568v1
	A latent mixed-effects model for longitudinal categorical data in Parkinson disease Pierre-Emmanuel Poulet , Jean-Christophe Corvol , Stanley Durrleman CompAge 2020 - Computational approaches for ageing and age-related diseases 2020, Sep 2020, Paris / Virtual, France Conference poster hal-03136576v1
	Modeling the progression of Parkinson's Disease: comparison of subjects with and without Sleep Disorders Raphäel Couronné , Arnaud Valladier , Marie Vidhaillet , Jean Christophe Corvol , Stéphane Lehéricy CompAge - Computational approaches for ageing and age-related diseases, Sep 2020, Paris, France Conference poster hal-02945929v2
	How serious is data leakage in deep learning studies on Alzheimer’s disease classification? Junhao Wen , Elina Thibeau-Sutre , Jorge Samper-Gonzalez , Alexandre M Routier , Simona Bottani Organization for Human Brain Mapping (OHBM), Jun 2019, Roma, Italy Conference poster hal-03365742v1
	Trends in cerebral organisation in Upper Palaeolithic and recent humans. Lou Albessard-Ball , Antoine Balzeau , Stanley Durrleman , Pietro Gori , Dominique Grimaud-Hervé ESHE meeting, Sep 2019, Liège, Belgium. 2019 Conference poster hal-02563529v1
	Building disease progression models from longitudinal biomarkers Clémentine Fourrier , Igor Koval , Simona Bottani , Olivier Colliot , Stanley M Durrleman 5th Annual Human Brain Project Summit, Oct 2017, Glasgow, United Kingdom Conference poster hal-02466386v1
	Convergent stochastic Expectation Maximization algorithm with efficient sampling in high dimension. Application to deformable template model estimation Estelle Kuhn , Stéphanie Allassonnière , Stanley Durrleman 8th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2015), Dec 2015, London, United Kingdom. , 2015 Conference poster hal-01606162v1
	Learning spatio-temporal trajectories from manifold-valued longitudinal data Jean-Baptiste Schiratti , Stéphanie Allassonniere , Olivier Colliot , Stanley Durrleman Neural Information Processing Systems, Dec 2015, Montréal, Canada. , Advances in Neural Information Processing Systems Conference poster hal-01245909v1
	Convergent stochastic Expectation Maximization algorithm with efficient sampling in high dimension. Application to deformable template model estimation Estelle Kuhn , Stéphanie Allassonniere , Stanley Durrleman 30th European Meeting of Statisticians -EMS, Jul 2015, Amsterdam, Netherlands. 2015 Conference poster hal-01606163v1

	Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy Dajiang Zhu , Jingwen Yan , Heng Huang , Li Shen , Paul M. Thompson Zhu, Dajiang; Yan, Jingwen; Nielsen, Mads; Fletcher, Tom; Durrleman, Stanley; Sommer, Stefan; Huang, Heng; Shen, Li; Thompson, Paul M.; Westin, Carl-Fredrik; Pennec, Xavier; Joshi, Sarang. Springer, 11846, 2019, Lecture Notes in Computer Science (LNCS), ⟨10.1007/978-3-030-33226-6⟩ Books hal-02341877v1
	Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics Jorge M. Cardoso , Tal Arbel , Enzo Ferrante , Xavier Pennec , Dalca Adrian V. Jorge Cardoso; Tal Arbel; Mert Sabuncu; Fletcher Tom; Li Shen; Stanley Durrleman; Stefan Sommer; Enzo Ferrante; Xavier Pennec; Dalca Adrian V.; Sarah Parisot; Sarang Joshi; Nematollah Batmanghelich; Aristeidis Sotiras; Mads Nielsen. 10551, 2017, Lecture Notes in Computer Science, ⟨10.1007/978-3-319-67675-3⟩ Books hal-01597839v1
	Proceedings of the Fourth International Workshop on Mathematical Foundations of Computational Anatomy - Geometrical and Statistical Methods for Biological Shape Variability Modeling (MFCA 2013), Nagoya, Japan Xavier Pennec , Sarang Joshi , Mads Nielsen , Thomas P. Fletcher , Stanley Durrleman Pennec, Xavier and Joshi, Sarang and Nielsen, Mads and Fletcher, Tom P. and Durrleman, Stanley and Sommer, Stefan. Inria, pp.132, 2013 Books hal-00873631v1
	Proceedings of Second International Workshop on Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data Stanley Durrleman , Fletcher Tom , Guido Gerig , Marc Niethammer S. Durrleman and T. Fletcher and G. Gerig and M. Niethammer. Springer, 7570, pp.163, 2012, Lecture Notes in Computer Science (LNCS), 978-3-642-33554-9. ⟨10.1007/978-3-642-33555-6⟩ Books hal-00818355v1

	Shape Analysis for Brain Structures: A Review Bernard Ng , Matthew Toews , Stanley Durrleman , Yonggang Shi Li, Shuo and Tavares, João Manuel R. S. Shape Analysis in Medical Image Analysis, 14, Springer, 2014, Lecture Notes in Computational Vision and Biomechanics, 978-3-319-03813-1 Book sections hal-00925536v1

	Feature Selection to Forecast Cognitive Decline Using Multimodal Alzheimer's Disease Models Benoît Sauty , Etienne Maheux , Stanley Durrleman 2023 Preprints, Working Papers, ... hal-04195850v1
	On the convergence of stochastic approximations under a subgeometric ergodic Markov dynamic Vianney Debavelaere , Stanley Durrleman , Stéphanie Allassonnière 2020 Preprints, Working Papers, ... hal-02549618v2
	Longitudinal autoencoder for multi-modal disease progression modelling Raphäel Couronné , Maxime Louis , Stanley Durrleman 2019 Preprints, Working Papers, ... hal-02090886v2
	Riemannian geometry learning for disease progression modelling Maxime Louis , Raphäel Couronné , Igor Koval , Benjamin Charlier , Stanley Durrleman 2019 Preprints, Working Papers, ... hal-02079820v2
	Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects Igor Koval , Stéphanie Allassonnière , Stanley Durrleman 2019 Preprints, Working Papers, ... hal-02089881v1
	Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: applied to GENFI study Claire Cury , Stanley Durrleman , David M. Cash , Marco Lorenzi , Jennifer M Nicholas 2018 Preprints, Working Papers, ... hal-01856906v1
	Learning Riemannian geometry for mixed-effect models using deep generative networks. Maxime Louis , Benjamin Charlier , Stanley Durrleman 2018 Preprints, Working Papers, ... hal-01828949v1

	Bayesian mixed effect atlas estimation with a diffeomorphic deformation model Stéphanie Allassonnière , Stanley Durrleman , Estelle Kuhn [Technical Report] R2014-2, Inra. 2014 Reports hal-02801668v1
	Third generation disease models: Image analysis tools, pediatric heart diseases, inflammatory diseases and brain tumors Xavier Pennec , Curzio Basso , Younes Boudjemline , Stanley Durrleman , Ender Konukoglu [Technical Report] 2010 Reports hal-00813777v1
	Spatiotemporal Atlas Estimation for Developmental Delay Detection in Longitudinal Datasets Stanley Durrleman , Xavier Pennec , Guido Gerig , Alain Trouvé , Nicholas Ayache [Research Report] RR-6952, INRIA. 2009, 17 p Reports inria-00408293v1
	Sparse Approximation of Currents for Statistics on Curves and Surfaces Stanley Durrleman , Xavier Pennec , Alain Trouvé , Nicholas Ayache [Research Report] RR-6571, INRIA. 2008, pp.15 Reports inria-00286014v2

	Statistical models of currents for measuring the variability of anatomical curves, surfaces and their evolution Stanley Durrleman Human-Computer Interaction [cs.HC]. Université Nice Sophia Antipolis, 2010. English. ⟨NNT : ⟩ Theses tel-00631382v1

Stanley Durrleman

Publications

Association Between Diseases and Symptoms Diagnosed in Primary Care and the Subsequent Specific Risk of Multiple Sclerosis

Forecasting individual progression trajectories in Alzheimer’s disease

Multivariate disease progression modelling with longitudinal ordinal data

Charting Disease Trajectories from Isolated REM Sleep Behavior Disorder to Parkinson's Disease

Impact of sex and APOE-ε4 genotype on patterns of regional brain atrophy in Alzheimer's Disease and healthy ageing

Interaction of sex and onset site on the disease trajectory of amyotrophic lateral sclerosis

A Comparison Between Early Presentation of Dementia with Lewy Bodies, Alzheimer's Disease, and Parkinson's Disease: Evidence from Routine Primary Care and UK Biobank Data

Comparison of Clinical Profiles and Mortality Outcomes Between Influenza and COVID-19 Patients Invasively Ventilated in the ICU: A Retrospective Study From All Paris Public Hospitals From 2016 to 2021

Forecasting individual progression trajectories in Huntington disease enables more powered clinical trials

Benchmarking off-the-shelf statistical shape modeling tools in clinical applications

Identifying health conditions associated with Alzheimer's disease up to 15 years before diagnosis: an agnostic study of French and British health records

Deterministic Approximate EM Algorithm; Application to the Riemann Approximation EM and the Tempered EM

Asymptotic Analysis of a Matrix Latent Decomposition Model

Mixture of Conditional Gaussian Graphical Models for unlabelled heterogeneous populations in the presence of co-factors

A Diffeomorphic Vector Field Approach to Analyze the Thickness of the Hippocampus from 7T MRI

AD Course Map charts Alzheimer’s disease progression

Predicting the Progression of Mild Cognitive Impairment Using Machine Learning: A Systematic, Quantitative and Critical Review

A machine learning approach to screen for preclinical Alzheimer's disease

Clinica: an open source software platform for reproducible clinical neuroscience studies

Anomaly detection for the individual analysis of brain PET images

Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimer's disease

Gaussian Graphical Model exploration and selection in high dimension low sample size setting

Understanding the Variability in Graph Data Sets through Statistical Modeling on the Stiefel Manifold

Changes in the use of psychotropic drugs during the course of Alzheimer's disease: A large‐scale longitudinal study of French medical records

Are endocasts reliable proxies for brains? A 3D quantitative comparison of the extant human brain and endocast

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

Predicting PET-derived Myelin Content from Multisequence MRI for Individual Longitudinal Analysis in Multiple Sclerosis

Learning the clustering of longitudinal shape data sets into a mixture of independent or branching trajectories

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

Learning the spatiotemporal variability in longitudinal shape data sets

Predicting PET-derived Demyelination from Multimodal MRI using Sketcher-Refiner Adversarial Training for Multiple Sclerosis

Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort

Neurite density is reduced in the presymptomatic phase of C9orf72 disease

Fluid-attenuated inversion recovery MRI synthesis from multisequence MRI using three-dimensional fully convolutional networks for multiple sclerosis

Tribute to Anne Bertrand (1978–2018): Neuroradiologist, scientist, teacher and friend

Reduction of recruitment costs in preclinical AD trials. Validation of automatic pre-screening algorithm for brain amyloidosis

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

A sub-Riemannian modular framework for diffeomorphism based analysis of shape ensembles

An Automated Pipeline for the Analysis of PET Data on the Cortical Surface

A Fanning Scheme for the Parallel Transport Along Geodesics on Riemannian Manifolds

Spatiotemporal Propagation of the Cortical Atrophy: Population and Individual Patterns

Effect of Alzheimer's disease risk and protective factors on cognitive trajectories in subjective memory complainers: An INSIGHT‐preAD study

Revolution of Alzheimer Precision Neurology. Passageway of Systems Biology and Neurophysiology

Double diffeomorphism: combining morphometry and structural connectivity analysis

The endocranial shape of Australopithecus africanus : surface analysis of the endocasts of Sts 5 and Sts 60

Early cognitive, structural and microstructural changes in c9orf72 presymptomatic carriers before 40 years of age

A Bayesian Framework for Joint Morphometry of Surface and Curve meshes in Multi-Object Complexes

Geodesic shape regression with multiple geometries and sparse parameters

A Bayesian mixed-effects model to learn trajectories of changes from repeated manifold-valued observations

A Precision Medicine Initiative for Alzheimer's disease: the road ahead to biomarker-guided integrative disease modeling.

Amyloidosis and neurodegeneration result in distinct structural connectivity patterns in mild cognitive impairment

Parsimonious Approximation of Streamline Trajectories in White Matter Fiber Bundles

Morphoarchitectural variation in South African fossil cercopithecoid endocasts

Lateral Temporal Lobe: An Early Imaging Marker of the Presymptomatic GRN Disease?

Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge.

Morphometry of anatomical shape complexes with dense deformations and sparse parameters

Toward a Comprehensive Framework for the Spatiotemporal Statistical Analysis of Longitudinal Shape Data

Spatiotemporal Dynamic Simulation of Acute Perfusion/Diffusion Ischemic Stroke Lesions Evolution: A Pilot Study Derived from Longitudinal MR Patient Data

Sparse Adaptive Parameterization of Variability in Image Ensembles

Comparison of the endocranial ontogenies between chimpanzees and bonobos via temporal regression and spatiotemporal registration.

Registration, atlas estimation and variability analysis of white matter fiber bundles modeled as currents.

A Statistical Model for Quantification and Prediction of Cardiac Remodelling: Application to Tetralogy of Fallot

Statistical models of sets of curves and surfaces based on currents.

Inferring brain variability from diffeomorphic deformations of currents: an integrative approach.

Joint model with latent disease age Overcoming the need for reference time

Longitudinal Modelling for Single Nucleotide Polymorphism Associations with Alzheimer’s Disease

Impact of sex and APOE-ε4 genotype on regional brain metabolism in Alzheimer's Disease

A Multimodal Disease Progression Model for Genetic Associations with Disease Dynamics

Advances in the Clinica software platform for clinical neuroimaging studies

Riemannian metric learning for progression modeling of longitudinal datasets

Longitudinal Variational Autoencoders learn a Riemannian progression model for imaging data

Progression models for imaging data with Longitudinal Variational Auto Encoders

Tau Protein Discrete Aggregates in Alzheimer's Disease: Neuritic Plaques and Tangles Detection and Segmentation using Computational Histopathology

Forecast Alzheimer's disease progression to better select patients for clinical trials

Longitudinal self-supervision to disentangle inter-patient variability from disease progression

Clinica: an open-source software platform for reproducible clinical neuroscience studies

Learning Riemannian metric for disease progression modeling

Timing and order of pathological events in Alzheimer's disease: focus on the trajectory of the awareness of cognitive decline