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Number of documents

178

Stanley Durrleman, PhD


Journal articles52 documents

  • Thomas Nedelec, Baptiste Couvy-Duchesne, Fleur Monnet, Timothy Daly, Manon Ansart, et al.. Identifying health conditions associated with Alzheimer's disease up to 15 years before diagnosis: an agnostic study of French and British health records. The Lancet Digital Health, Elsevier, 2022. ⟨hal-03628268⟩
  • Thomas Lartigue, Stanley Durrleman, Stéphanie Allassonnière. Deterministic Approximate EM Algorithm; Application to the Riemann Approximation EM and the Tempered EM. Algorithms, MDPI, 2022, Stochastic Algorithms and Their Applications, 15 (3), pp.78. ⟨10.3390/a15030078⟩. ⟨hal-02513593v4⟩
  • Sinead Gaubert, Marion Houot, Federico Raimondo, Manon Ansart, Marie-Constance Corsi, et al.. A machine learning approach to screen for preclinical Alzheimer's disease. Neurobiology of Aging, Elsevier, 2021, 105, pp.205-216. ⟨10.1016/j.neurobiolaging.2021.04.024⟩. ⟨hal-03261206⟩
  • Alexandre Routier, Ninon Burgos, Mauricio Díaz, Michael Bacci, Simona Bottani, et al.. Clinica: an open source software platform for reproducible clinical neuroscience studies. Frontiers in Neuroinformatics, Frontiers, 2021, 15, pp.689675. ⟨10.3389/fninf.2021.689675⟩. ⟨hal-02308126v4⟩
  • Manon Ansart, Stéphane Epelbaum, Marion Houot, Thomas Nedelec, Béranger Lekens, et al.. Changes in the use of psychotropic drugs during the course of Alzheimer's disease: A large‐scale longitudinal study of French medical records. Alzheimer's & Dementia: Translational Research & Clinical Interventions, Elsevier, 2021, 7 (1), pp.e12210. ⟨10.1002/trc2.12210⟩. ⟨hal-03351244⟩
  • Clément Mantoux, Baptiste Couvy-Duchesne, Federica Cacciamani, Stéphane Epelbaum, Stanley Durrleman​, et al.. Understanding the Variability in Graph Data Sets through Statistical Modeling on the Stiefel Manifold. Entropy, MDPI, 2021, 23 (4), pp.490. ⟨10.3390/e23040490⟩. ⟨hal-03215733⟩
  • Junhao Wen, Jorge Samper-González, Simona Bottani, Alexandre Routier, Ninon Burgos, et al.. Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimer's disease. Neuroinformatics, Springer, 2021, 19 (1), pp.57-78. ⟨10.1007/s12021-020-09469-5⟩. ⟨hal-02566361v2⟩
  • Igor Koval, Alexandre Bône, Maxime Louis, Thomas Lartigue, Simona Bottani, et al.. AD Course Map charts Alzheimer’s disease progression. Scientific Reports, Nature Publishing Group, 2021, 11 (1), ⟨10.1038/s41598-021-87434-1⟩. ⟨hal-01964821v3⟩
  • Manon Ansart, Stéphane Epelbaum, Giulia Bassignana, Alexandre Bône, Simona Bottani, et al.. Predicting the Progression of Mild Cognitive Impairment Using Machine Learning: A Systematic, Quantitative and Critical Review. Medical Image Analysis, Elsevier, 2021, 67, pp.101848. ⟨10.1016/j.media.2020.101848⟩. ⟨hal-02337815v2⟩
  • Alexis Guyot, Ana Graciano Fouquier, Emilie Gerardin, Marie Chupin, Joan Glaunès, et al.. A Diffeomorphic Vector Field Approach to Analyze the Thickness of the Hippocampus from 7T MRI. IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2021, 68 (2), pp.393-403. ⟨10.1109/TBME.2020.2999941⟩. ⟨hal-02359660v2⟩
  • Ninon Burgos, Jorge Cardoso, Jorge Samper-González, Marie-Odile Habert, Stanley Durrleman​, et al.. Anomaly detection for the individual analysis of brain PET images. Journal of Medical Imaging, SPIE Digital Library, 2021, 8 (02), pp.024003. ⟨10.1117/1.JMI.8.2.024003⟩. ⟨hal-03193306⟩
  • Thomas Lartigue, Simona Bottani, Stephanie Baron, Olivier Colliot, Stanley Durrleman, et al.. Gaussian Graphical Model exploration and selection in high dimension low sample size setting. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2021, 43 (9), pp.3196-3213. ⟨10.1109/TPAMI.2020.2980542⟩. ⟨hal-02504034⟩
  • Thomas Lartigue, Stanley Durrleman, Stéphanie Allassonnière. Mixture of Conditional Gaussian Graphical Models for unlabelled heterogeneous populations in the presence of co-factors. SN Computer Science, Springer, 2021, 2 (466), ⟨10.1007/s42979-021-00865-5⟩. ⟨hal-02874192v5⟩
  • Vianney Debavelaere, Stanley Durrleman, Stéphanie Allassonnière. Learning the clustering of longitudinal shape data sets into a mixture of independent or branching trajectories. International Journal of Computer Vision, Springer Verlag, 2020, ⟨10.1007/s11263-020-01337-8⟩. ⟨hal-02283747v2⟩
  • Alexandre Bône, Olivier Colliot, Stanley Durrleman. Learning the spatiotemporal variability in longitudinal shape data sets. International Journal of Computer Vision, Springer Verlag, 2020, 128, pp.2873-2896. ⟨10.1007/s11263-020-01343-w⟩. ⟨hal-02091549v5⟩
  • Jean Dumoncel, Gérard Subsol, Stanley Durrleman, Anne Bertrand, Edwin de Jager, et al.. Are endocasts reliable proxies for brains? A 3D quantitative comparison of the extant human brain and endocast. Journal of Anatomy, Wiley, 2020, 00, pp.1 - 9. ⟨10.1111/joa.13318⟩. ⟨hal-02964453⟩
  • Junhao Wen, Elina Thibeau-Sutre, Mauricio Diaz-Melo, Jorge Samper-González, Alexandre Routier, et al.. Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation. Medical Image Analysis, Elsevier, 2020, 63, pp.101694. ⟨10.1016/j.media.2020.101694⟩. ⟨hal-02562504v2⟩
  • Baptiste Couvy-Duchesne, Johann Faouzi, Benoît Martin, Elina Thibeau-Sutre, Adam Wild, et al.. 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, Frontiers, 2020, 11, ⟨10.3389/fpsyt.2020.593336⟩. ⟨hal-03136463⟩
  • Wen Wei, Emilie Poirion, Benedetta Bodini, Matteo Tonietto, Stanley Durrleman, et al.. Predicting PET-derived Myelin Content from Multisequence MRI for Individual Longitudinal Analysis in Multiple Sclerosis. NeuroImage, Elsevier, 2020, 223C (117308), ⟨10.1016/j.neuroimage.2020.117308⟩. ⟨hal-02922534⟩
  • Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman, Nicholas Ayache, et al.. Predicting PET-derived Demyelination from Multimodal MRI using Sketcher-Refiner Adversarial Training for Multiple Sclerosis. Medical Image Analysis, Elsevier, 2019, 58 (101546), ⟨10.1016/j.media.2019.101546⟩. ⟨hal-02276634⟩
  • Manon Ansart, Stéphane Epelbaum, Geoffroy Gagliardi, Olivier Colliot, Didier Dormont, et al.. Reduction of recruitment costs in preclinical AD trials. Validation of automatic pre-screening algorithm for brain amyloidosis. Statistical Methods in Medical Research, SAGE Publications, 2019, pp.096228021882303. ⟨10.1177/0962280218823036⟩. ⟨hal-01964942v2⟩
  • Junhao Wen, Hui Zhang, Daniel Alexander, Stanley Durrleman, Alexandre Routier, et al.. Neurite density is reduced in the presymptomatic phase of C9orf72 disease. Journal of Neurology, Neurosurgery and Psychiatry, BMJ Publishing Group, 2019, J Neurol Neurosurg Psychiatry, 90 (4), pp.387-94. ⟨10.1136/jnnp-2018-318994⟩. ⟨hal-01907482⟩
  • Didier Dormont, Noam Ben-Eliezer, Ninon Burgos, Olivier Colliot, Fabrizio de Vico Fallani, et al.. Tribute to Anne Bertrand (1978–2018): Neuroradiologist, scientist, teacher and friend. Journal de Neuroradiologie / Journal of Neuroradiology, Elsevier Masson, 2019, 46 (2), pp.155-159. ⟨10.1016/j.neurad.2019.01.001⟩. ⟨hal-02265305⟩
  • Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman, Olivier Colliot, et al.. Fluid-attenuated inversion recovery MRI synthesis from multisequence MRI using three-dimensional fully convolutional networks for multiple sclerosis. Journal of Medical Imaging, SPIE Digital Library, 2019, 6 (01), ⟨10.1117/1.JMI.6.1.014005⟩. ⟨hal-02042526v2⟩
  • Claire Cury, Stanley Durrleman, David Cash, Marco Lorenzi, Jennifer Nicholas, et al.. Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort. NeuroImage, Elsevier, 2019, 188, pp.282-290. ⟨10.1016/j.neuroimage.2018.11.063⟩. ⟨inserm-01958916⟩
  • Amélie Beaudet, Jean Dumoncel, Frikkie de Beer, Stanley Durrleman, Emmanuel Gilissen, et al.. The endocranial shape of Australopithecus africanus : surface analysis of the endocasts of Sts 5 and Sts 60. Journal of Anatomy, Wiley, 2018, 232 (2), pp.296-303. ⟨10.1111/joa.12745⟩. ⟨lirmm-01636811⟩
  • Maxime Louis, Benjamin Charlier, Paul Jusselin, Susovan Pal, Stanley Durrleman. A Fanning Scheme for the Parallel Transport Along Geodesics on Riemannian Manifolds. SIAM Journal on Numerical Analysis, Society for Industrial and Applied Mathematics, 2018, 56 (4), pp.2563-2584. ⟨10.1137/17M1130617⟩. ⟨hal-01560787v2⟩
  • Anne Bertrand, Junhao Wen, Daisy Rinaldi, Marion Houot, Sabrina Sayah, et al.. Early cognitive, structural and microstructural changes in c9orf72 presymptomatic carriers before 40 years of age. JAMA neurology, American Medical Association, 2018, 75 (2), pp.236-245. ⟨10.1001/jamaneurol.2017.4266⟩. ⟨hal-01654000⟩
  • Arnaud Marcoux, Ninon Burgos, Anne Bertrand, Marc Teichmann, Alexandre Routier, et al.. An Automated Pipeline for the Analysis of PET Data on the Cortical Surface. Frontiers in Neuroinformatics, Frontiers, 2018, 12, ⟨10.3389/fninf.2018.00094⟩. ⟨hal-01950933⟩
  • Jorge Samper-Gonzalez, Ninon Burgos, Simona Bottani, Sabrina Fontanella, Pascal Lu, et al.. Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data. NeuroImage, Elsevier, 2018, 183, pp.504-521. ⟨10.1016/j.neuroimage.2018.08.042⟩. ⟨hal-01858384⟩
  • Harald Hampel, Nicola Toschi, Claudio Babiloni, Filippo Baldacci, Keith Black, et al.. Revolution of Alzheimer Precision Neurology. Passageway of Systems Biology and Neurophysiology. Journal of Alzheimer's Disease, IOS Press, 2018, 64 (s1), pp.S47 - S105. ⟨10.3233/jad-179932⟩. ⟨hal-01910402⟩
  • Igor Koval, Jean-Baptiste Schiratti, Alexandre Routier, Michael Bacci, Olivier Colliot, et al.. Spatiotemporal Propagation of the Cortical Atrophy: Population and Individual Patterns. Frontiers in Neurology, Frontiers, 2018, 9, pp.235. ⟨10.3389/fneur.2018.00235⟩. ⟨hal-01910400⟩
  • Pietro Gori, Olivier Colliot, Linda Kacem, Yulia Worbe, Alexandre Routier, et al.. Double diffeomorphism: combining morphometry and structural connectivity analysis. IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2018, 37 (9), pp.2033-2043. ⟨10.1109/TMI.2018.2813062⟩. ⟨hal-01709847v2⟩
  • Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Cyril Poupon, et al.. A Bayesian Framework for Joint Morphometry of Surface and Curve meshes in Multi-Object Complexes. Medical Image Analysis, Elsevier, 2017, 35, pp.458-474. ⟨10.1016/j.media.2016.08.011⟩. ⟨hal-01359423⟩
  • Jean-Baptiste Schiratti, Stéphanie Allassonniere, Olivier Colliot, Stanley Durrleman. A Bayesian mixed-effects model to learn trajectories of changes from repeated manifold-valued observations. Journal of Machine Learning Research, Microtome Publishing, 2017, 18, pp.1-33. ⟨hal-01540367v3⟩
  • Thomas Jacquemont, Fabrizio de Vico Fallani, Anne Bertrand, Stéphane Epelbaum, Alexandre Routier, et al.. Amyloidosis and neurodegeneration result in distinct structural connectivity patterns in mild cognitive impairment. Neurobiology of Aging, Elsevier, 2017, ⟨10.1016/j.neurobiolaging.2017.03.023⟩. ⟨hal-01518785⟩
  • James Fishbaugh, Stanley Durrleman, Marcel Prastawa, Guido Gerig. Geodesic shape regression with multiple geometries and sparse parameters. Medical Image Analysis, Elsevier, 2017, 39, pp.1-17. ⟨hal-01566280⟩
  • Harald Hampel, Sid O’bryant, Stanley Durrleman, Erfan Younesi, Katrine Rojkova, et al.. A Precision Medicine Initiative for Alzheimer's disease: the road ahead to biomarker-guided integrative disease modeling.. Climacteric, Taylor & Francis, 2017, 20 (2), pp.107-118. ⟨hal-01566281⟩
  • Barbara Gris, Stanley Durrleman, Alain Trouvé. A sub-Riemannian modular framework for diffeomorphism based analysis of shape ensembles. SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, In press. ⟨hal-01321142v2⟩
  • Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Fabrizio de Vico Fallani, et al.. Parsimonious Approximation of Streamline Trajectories in White Matter Fiber Bundles. IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2016, PP (99), ⟨10.1109/TMI.2016.2591080⟩. ⟨hal-01346067⟩
  • Amélie Beaudet, Jean Dumoncel, Frikkie de Beer, Benjamin Duployer, Stanley Durrleman, et al.. Morphoarchitectural variation in South African fossil cercopithecoid endocasts. Journal of Human Evolution, Elsevier, 2016, 101, pp.65-78. ⟨10.1016/j.jhevol.2016.09.003⟩. ⟨hal-01440065⟩
  • Paola Caroppo, Marie-Odile Habert, Stanley Durrleman, Aurélie Funkiewiez, Vincent Perlbarg, et al.. Lateral Temporal Lobe: An Early Imaging Marker of the Presymptomatic GRN Disease?. Journal of Alzheimer's Disease, IOS Press, 2015, 47 (3), pp.751-9. ⟨10.3233/JAD-150270⟩. ⟨hal-01220380⟩
  • Esther E Bron, Marion Smits, Wiesje M van der Flier, Hugo Vrenken, Frederik Barkhof, et al.. Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge.. NeuroImage, Elsevier, 2015, 111, pp.562-79. ⟨10.1016/j.neuroimage.2015.01.048⟩. ⟨hal-01220123⟩
  • Stanley Durrleman, Marcel Prastawa, Nicolas Charon, Julie R Korenberg, S. Joshi, et al.. Morphometry of anatomical shape complexes with dense deformations and sparse parameters. NeuroImage, Elsevier, 2014, ⟨10.1016/j.neuroimage.2014.06.043⟩. ⟨hal-01015771⟩
  • Islem Rekik, Stéphanie Allassonnière, Stanley Durrleman, Trevor Carpenter, Joanna M Wardlaw. Spatiotemporal Dynamic Simulation of Acute Perfusion/Diffusion Ischemic Stroke Lesions Evolution: A Pilot Study Derived from Longitudinal MR Patient Data. Computational and Mathematical Methods in Medicine, Hindawi Publishing Corporation, 2013, ⟨10.1155/2013/283593⟩. ⟨hal-00935051⟩
  • Stanley Durrleman, Xavier Pennec, Alain Trouvé, José Braga, Guido Gerig, et al.. Toward a Comprehensive Framework for the Spatiotemporal Statistical Analysis of Longitudinal Shape Data. International Journal of Computer Vision, Springer Verlag, 2013, 103 (1), pp.22-59. ⟨10.1007/s11263-012-0592-x⟩. ⟨hal-00813825⟩
  • Stanley Durrleman, Stéphanie Allassonnière, S. Joshi. Sparse Adaptive Parameterization of Variability in Image Ensembles. International Journal of Computer Vision, Springer Verlag, 2013, 101 (1), pp.161-183. ⟨10.1007/s11263-012-0556-1⟩. ⟨hal-00817565⟩
  • Stanley Durrleman, Xavier Pennec, Alain Trouvé, Nicholas Ayache, José Braga. Comparison of the endocranial ontogenies between chimpanzees and bonobos via temporal regression and spatiotemporal registration.. Journal of Human Evolution, Elsevier, 2012, 62 (1), pp.74-88. ⟨10.1016/j.jhevol.2011.10.004⟩. ⟨hal-00816048⟩
  • Tommaso Mansi, Ingmar Voigt, Benedetta Leonardi, Xavier Pennec, Stanley Durrleman, et al.. A Statistical Model for Quantification and Prediction of Cardiac Remodelling: Application to Tetralogy of Fallot. IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2011, 30 (9), pp.1605 - 1616. ⟨10.1109/TMI.2011.2135375⟩. ⟨inria-00616185⟩
  • Stanley Durrleman, Pierre Fillard, Xavier Pennec, Alain Trouvé, Nicholas Ayache. Registration, atlas estimation and variability analysis of white matter fiber bundles modeled as currents.. NeuroImage, Elsevier, 2011, 55 (3), pp.1073-90. ⟨10.1016/j.neuroimage.2010.11.056⟩. ⟨hal-00816044⟩
  • Stanley Durrleman, Xavier Pennec, Alain Trouvé, Nicholas Ayache. Statistical models of sets of curves and surfaces based on currents.. Medical Image Analysis, Elsevier, 2009, 13 (5), pp.793-808. ⟨10.1016/j.media.2009.07.007⟩. ⟨hal-00816051⟩
  • Stanley Durrleman, Xavier Pennec, Alain Trouvé, Paul Thompson, Nicholas Ayache. Inferring brain variability from diffeomorphic deformations of currents: an integrative approach.. Medical Image Analysis, Elsevier, 2008, 12 (5), pp.626-37. ⟨10.1016/j.media.2008.06.010⟩. ⟨hal-00816052⟩

Conference papers100 documents

  • Benoît Sauty, Stanley Durrleman​. Riemannian metric learning for progression modeling of longitudinal datasets. ISBI 2022 - International Symposium on Biomedical Imaging, Mar 2022, Kolkata, India. ⟨hal-03549061⟩
  • Pierre-Emmanuel Poulet, Stanley Durrleman​. Mixture modeling for identifying subtypes in disease course mapping. Information Processing in Medical Imaging, 27th International Conference, Jun 2021, Virtual event, France. ⟨10.1007/978-3-030-78191-0_44⟩. ⟨hal-03276811v2⟩
  • Federica Cacciamani, Arnaud Valladier, Etienne Maheux, Igor Koval, Stanley Durrleman​, et al.. Timing and order of pathological events in Alzheimer's disease: focus on the trajectory of the awareness of cognitive decline. AD/PD 2021 - 15thInternational Conference on Alzheimer’s and Parkinson’s Diseases and related neurological disorders, Mar 2021, Barcelone / Virtual, Spain. ⟨hal-03030182⟩
  • Omar El-Rifai, Mauricio Diaz Melo, Ravi Hassanaly, Matthieu Joulot, Alexandre Routier, et al.. Clinica: an open-source software platform for reproducible clinical neuroscience studies. MRI Together 2021 - A global workshop on Open Science and Reproducible MR Research, Dec 2021, Online, France. ⟨hal-03513920⟩
  • Samuel Gruffaz, Pierre-Emmanuel Poulet, Etienne Maheux, Bruno Jedynak, Stanley Durrleman​. Learning Riemannian metric for disease progression modeling. NeurIPS 2021 - Thirty-fifth Conference on Neural Information Processing Systems, Dec 2021, Virtual event, France. ⟨hal-03485975⟩
  • Raphaël Couronné, Paul Vernhet, Stanley Durrleman​. Longitudinal self-supervision to disentangle inter-patient variability from disease progression. MICCAI 2021 - 24th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2021, Strasbourg, France. ⟨hal-03491692⟩
  • Pierre-Emmanuel Poulet, Stanley Durrleman​, Jean Christophe Corvol. Predicting symptom onset in Parkinson's disease with latent mixed-effect model. AD/PD 2021 - 15th International Conference on Alzheimer‘s & Parkinson‘s Diseases, Mar 2021, Barcelone / Virtual, Spain. ⟨hal-03136568⟩
  • Juliette Ortholand, Etienne Maheux, Igor Koval, Arnaud Valladier, Stanley Durrleman​. Forecast Parkinson Disease Progression to Better Select Patients into Trials. AD/PD 2021 - 15th​ International Conference on Alzheimer’s and Parkinson’s Diseases and related neurological disorders, Mar 2021, Online, France. ⟨hal-03145333⟩
  • Etienne Maheux, Juliette Ortholand, Colin Birkenbihl, Elina Thibeau-Sutre, Meemansa Sood, et al.. Forecast Alzheimer's disease progression to better select patients for clinical trials. ISCB 2021: 42nd Conference of the International Society for Clinical Biostatistics, Jul 2021, Online, France. ⟨hal-03483237⟩
  • Alexandre Routier, Arnaud Marcoux, Mauricio Diaz Melo, Jorge Samper-González, Adam Wild, et al.. New longitudinal and deep learning pipelines in the Clinica software platform. OHBM 2020 - Annual meeting of the Organization for Human Brain Mapping, Jun 2020, Montreal / Virtual, Canada. ⟨hal-02549242⟩
  • Alexandre Bône, Benoît Martin, Maxime Louis, Olivier Colliot, Stanley Durrleman. Hierarchical modeling of Alzheimer's disease progression from a large longitudinal MRI data set. VPH 2020 - Virtual Physiological Human 2020, Aug 2020, Paris / Virtual, France. ⟨hal-02979176⟩
  • Raphäel Couronné, Arnaud Valladier, Marie Vidailhet, Jean Christophe Corvol, Stephane Lehericy, et al.. Longitudinal comparison of subjects with and without Sleep Disorders in Parkinson's Disease. VPH 2020 - Virtual Physiological Human, Aug 2020, Paris / Virtual, France. ⟨hal-02945917v2⟩
  • Etienne Maheux, Igor Koval, Damiano Archetti, Alberto Redolfi, Stanley Durrleman​. Towards cross-cohort estimation of cognitive decline in neurodegenerative diseases. VPH 2020 - Virtual Physiological Human, Aug 2020, Paris / Virtual, France. ⟨hal-03137870⟩
  • Etienne Maheux, Igor Koval, Damiano Archetti, Alberto Redolfi, Stanley Durrleman​. Forecast of the MMSE score up to 6 years ahead, with cross-cohort replications. CompAge 2020 - Computational approaches for ageing and age-related diseases, Sep 2020, Paris / Virtual, France. ⟨hal-03137878⟩
  • Igor Koval, Thomas Dighiero, Rachael Scahill, Alexandra Durr, Stanley Durrleman​. Prediction of biomarkers' trajectory in Huntington's disease: application to precise clinical trial design. CompAge 2020 - Computational approaches for ageing and age-related diseases, Sep 2020, Paris, France. ⟨hal-03137994⟩
  • Alexandre Bône, Paul Vernhet, Olivier Colliot, Stanley Durrleman​. Learning joint shape and appearance representations with metamorphic auto-encoders. MICCAI 2020 - 23rd International Conference on Image Computing and Computer Assisted Interventions, Oct 2020, Lima / Virtual, Peru. ⟨hal-03136537⟩
  • Federica Cacciamani, Arnaud Valladier, Etienne Maheux, Igor Koval, Stanley Durrleman​, et al.. Awareness of cognitive decline through the continuum of Alzheimer’s disease and its association to APOE-ε4 and amyloid load. AAIC 2020, Jul 2020, Amsterdam, Netherlands. ⟨halshs-03030179⟩
  • Raphäel Couronné, Marie Vidailhet, Jean-Christophe Corvol, Stéphane Lehéricy, Stanley Durrleman. Learning disease progression models with longitudinal data and missing values. ISBI 2019 - International Symposium on Biomedical Imaging, Apr 2019, Venice, Italy. ⟨hal-02091571v2⟩
  • Alexandre Bône, Olivier Colliot, Stanley Durrleman. Auto-encoding meshes of any topology with the current-splatting and exponentiation layers. Geometry Meets Deep Learning @ ICCV 2019, Oct 2019, Séoul, South Korea. ⟨hal-02087586v2⟩
  • Alexandre Bône, Maxime Louis, Olivier Colliot, Stanley Durrleman. Learning low-dimensional representations of shape data sets with diffeomorphic autoencoders. IPMI 2019 : Information Processing in Medical Imaging, Jun 2019, Hong-Kong, China. ⟨hal-01963736v2⟩
  • Manon Ansart, Ninon Burgos, Olivier Colliot, Didier Dormont, Stanley Durrleman. Prediction of future cognitive scores and dementia onset in Mild Cognitive Impairment patients. OHBM 2019 - Organization for Human Brain Mapping Conference, Jun 2019, Rome, Italy. ⟨hal-02098427v2⟩
  • Junhao Wen​, Jorge Samper-González​, Alexandre Routier, Simona Bottani​, Stanley Durrleman​, et al.. Beware of feature selection bias! Example on Alzheimer's disease classification from diffusion MRI. 2019 OHBM Annual Meeting - Organization for Human Brain Mapping, Jun 2019, Rome, Italy. ⟨hal-02105134v2⟩
  • Igor Koval, Arnaud Marcoux, Ninon Burgos, Stéphanie Allassonnière, Olivier Colliot, et al.. Deciphering the progression of PET alterations using surface-based spatiotemporal modeling. OHBM 2019 - Annual meeting of the Organization for Human Brain Mapping, Jun 2019, Rome, Italy. ⟨hal-02134909⟩
  • Alexandre Routier, Arnaud Marcoux, Mauricio Diaz Melo, Jérémy Guillon, Jorge Samper-González, et al.. New advances in the Clinica software platform for clinical neuroimaging studies. OHBM 2019 - Annual Meeting on Organization for Human Brain Mapping, Jun 2019, Roma, Italy. ⟨10.1016/j.neuroimage.2011.09.015⟩. ⟨hal-02132147v2⟩
  • Alexandre Bône, Benoît Martin, Maxime Louis, Olivier Colliot, Stanley Durrleman. Hierarchical modeling of Alzheimer's disease progression from a large longitudinal MRI data set. OHBM 2019 - 25th Annual Meeting of the Organization for Human Brain Mapping, Jun 2019, Roma, Italy. ⟨hal-02090275⟩
  • Raphäel Couronné, Marie Vidailhet, Graziella Mangone, Stéphane Lehéricy, Stanley Durrleman. Motor abnormalities progression in prodromal PD. AD/PD 2019 - 14th International Conference on Alzheimer's and Parkinson's Diseases and related neurological disorders, Mar 2019, Lisbon, Portugal. ⟨hal-02276297⟩
  • Junhao Wen​, Elina Thibeau--Sutre​, Jorge Samper-González​, Alexandre Routier, Simona Bottani​, et al.. How serious is data leakage in deep learning studies on Alzheimer's disease classification?. 2019 OHBM Annual meeting - Organization for Human Brain Mapping, Jun 2019, Rome, Italy. ⟨hal-02105133v2⟩
  • Maxime Louis, Raphäel Couronné, Igor Koval, Benjamin Charlier, Stanley Durrleman. Riemannian Geometry Learning for Disease Progression Modelling. Information Processing in Medical Imaging - IPMI 2019, Jun 2019, Hong-Kong, China. pp.542-553, ⟨10.1007/978-3-030-20351-1_42⟩. ⟨hal-02429839⟩
  • Vianney Debavelaere, Alexandre Bône, Stanley Durrleman, Stéphanie Allassonnière. Clustering of longitudinal shape data sets using mixture of separate or branching trajectories. Medical Image Computing and Computer Assisted Intervention -- MICCAI, 2019, Shenzhen, China. pp.66-74. ⟨hal-02103355⟩
  • Junhao Wen, Jorge Samper-Gonzalez, Simona Bottani, Alexandre Routier, Ninon Burgos, et al.. Comparison of DTI Features for the Classification of Alzheimer's Disease: A Reproducible Study. OHBM 2018 - Organization for Human Brain Mapping Annual Meeting, Jun 2018, Singapour, Singapore. ⟨hal-01758206v3⟩
  • Manon Ansart, Igor Koval, Anne Bertrand, Didier Dormont, Stanley Durrleman. Design of a decision support system for predicting the progression of Alzheimer’s disease. Alzheimer's Association International Conference, Jul 2018, Chicago, United States. pp.P433, ⟨10.1016/j.jalz.2018.06.371⟩. ⟨hal-01988912⟩
  • Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman, Nicholas Ayache, et al.. Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training. MICCAI 2018 – 21st International Conference On Medical Image Computing & Computer Assisted Intervention, Sep 2018, Granada, Spain. ⟨10.1007/978-3-030-00931-1_59⟩. ⟨hal-01810822⟩
  • Alexandre Routier, Jérémy Guillon, Ninon Burgos, Jorge Samper-Gonzalez, Junhao Wen, et al.. Clinica: an open source software platform for reproducible clinical neuroscience studies. Annual meeting of the Organization for Human Brain Mapping - OHBM 2018, Jun 2018, Singapore, Singapore. ⟨hal-01760658⟩
  • Jorge Samper-Gonzalez, Simona Bottani, Ninon Burgos, Sabrina Fontanella, Pascal Lu, et al.. Reproducible evaluation of Alzheimer's Disease classification from MRI and PET data. Annual meeting of the Organization for Human Brain Mapping - OHBM 2018, Jun 2018, Singapour, Singapore. ⟨hal-01761666⟩
  • Junhao Wen, Hui Zhang, Daniel Alexander, Stanley Durrleman, Alexandre Routier, et al.. NODDI Highlights Promising New Markers In Presymptomatic C9orf72 Carriers. OHBM 2018 - Organization for Human Brain Mapping Annual Meeting, Jun 2018, Singapour, Singapore. ⟨hal-01758137⟩
  • Alexandre Bône, Olivier Colliot, Stanley Durrleman. Learning distributions of shape trajectories from longitudinal datasets: a hierarchical model on a manifold of diffeomorphisms. CVPR 2018 - Computer Vision and Pattern Recognition 2018, Jun 2018, Salt Lake City, United States. ⟨hal-01744538v3⟩
  • Alexandre Bône, Maxime Louis, Benoît Martin, Stanley Durrleman. Deformetrica 4: an open-source software for statistical shape analysis. ShapeMI @ MICCAI 2018 - Workshop on Shape in Medical Imaging, Sep 2018, Granada, Spain. ⟨hal-01874752v3⟩
  • Junhao Wen, Jorge Samper-Gonzalez, Simona Bottani, Alexandre Routier, Ninon Burgos, et al.. Using diffusion MRI for classification and prediction of Alzheimer's Disease: a reproducible study. AAIC 2018 - Alzheimer's Association International Conference, Jul 2018, Chicago, United States. ⟨hal-01758167v2⟩
  • Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman, Olivier Colliot, et al.. FLAIR MR Image Synthesis By Using 3D Fully Convolutional Networks for Multiple Sclerosis. ISMRM-ESMRMB 2018 - Joint Annual Meeting, Jun 2018, Paris, France. pp.1-6. ⟨hal-01723070⟩
  • Arnaud Marcoux, Ninon Burgos, Anne Bertrand, Alexandre Routier, Junhao Wen, et al.. A pipeline for the analysis of 18F-FDG PET data on the cortical surface and its evaluation on ADNI. Annual meeting of the Organization for Human Brain Mapping - OHBM 2018, Jun 2018, Singapour, Singapore. ⟨hal-01757646⟩
  • Clément Zanolli, Margot Cantaloube, Jean Dumoncel, Laura Martin-Frances, Priscilla Bayle, et al.. A new approach to quantify enamel thickness distribution and the enamel-dentine junction topography in primate teeth. 10ème Symposium de Morphométrie et Évolution des Formes (SMEF 2018), Laboratoire PACEA (UMR 5199), LabEx des Sciences Archéologiques de Bordeaux (France), Jun 2018, Bordeaux, France. ⟨hal-03154905⟩
  • Kuldeep Kumar, Pietro Gori, Benjamin Charlier, Stanley Durrleman, Olivier Colliot, et al.. White Matter Fiber Segmentation Using Functional Varifolds. MFCA 2017 - 6th MICCAI workshop on Mathematical Foundations of Computational Anatomy, Sep 2017, Québec, Canada. pp.92-100. ⟨hal-01589649⟩
  • Maxime Louis, Alexandre Bône, Benjamin Charlier, Stanley Durrleman. Parallel transport in shape analysis : a scalable numerical scheme. Geometric Science of Information, Nov 2017, Paris, France. ⟨hal-01565478⟩
  • Manon Ansart, Stéphane Epelbaum, Olivier Colliot, Didier Dormont, Bruno Dubois, et al.. Selection of amyloid positive pre-symptomatic subjects using automatic analysis of neuropsychological and MRI data for cost effective inclusion procedures in clinical trials. Clinical Trials for Alzheimer's Disease, Nov 2017, Boston, United States. pp.295. ⟨hal-02098434v2⟩
  • Ninon Burgos, Jorge Samper-González, Anne Bertrand, Marie-Odile Habert, Sébastien Ourselin, et al.. Diagnosis of Alzheimer’s Disease Through Identification of Abnormality Patterns in FDG PET Data. 30th Annual Congress of the European Association of Nuclear Medicine (EANM), Oct 2017, Vienna, Austria. pp.253 - 254, ⟨10.1007/s00259-017-3822-1⟩. ⟨hal-01632509⟩
  • Jorge Samper-Gonzalez, Ninon Burgos, Sabrina Fontanella, Hugo Bertin, Marie-Odile Habert, et al.. Yet Another ADNI Machine Learning Paper? Paving The Way Towards Fully-reproducible Research on Classification of Alzheimer's Disease. Machine Learning in Medical Imaging 2017, Sep 2017, Quebec City, Canada. pp.8. ⟨hal-01578479⟩
  • Manon Ansart, Stéphane Epelbaum, Geoffroy Gagliardi, Olivier Colliot, Didier Dormont, et al.. Prediction of amyloidosis from neuropsychological and MRI data for cost effective inclusion of pre-symptomatic subjects in clinical trials. Multimodal Learning for Clinical Decision Support, Sep 2017, Quebec City, Canada. ⟨hal-01578422⟩
  • Alexandre Bône, Maxime Louis, Alexandre Routier, Jorge Samper, Michael Bacci, et al.. Prediction of the progression of subcortical brain structures in Alzheimer's disease from baseline. 6th MICCAI Workshop on Mathematical Foundations of Computational Anatomy, Sep 2017, Quebec City, Canada. ⟨hal-01563587v2⟩
  • Igor Koval, Jean-Baptiste Schiratti, Alexandre Routier, Michael Bacci, Olivier Colliot, et al.. Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networks. Medical Image Computing and Computer Assisted Intervention, Sep 2017, Quebec City, Canada. ⟨hal-01540828⟩
  • Ninon Burgos, Jorge Samper-González, Jorge Cardoso, Stanley Durrleman, Sébastien Ourselin, et al.. Early Diagnosis of Alzheimer’s Disease Using Subject-Specific Models of FDG-PET Data. AAIC 2017 - Alzheimer's Association International Conference, Jul 2017, London, United Kingdom. pp.1-2, ⟨10.1016/j.jalz.2017.06.1618⟩. ⟨hal-01621383⟩
  • Ninon Burgos, Jorge Samper-González, Anne Bertrand, Marie-Odile Habert, Sébastien Ourselin, et al.. Individual Analysis of Molecular Brain Imaging Data Through Automatic Identification of Abnormality Patterns. Computational Methods for Molecular Imaging - [MICCAI 2017 Satellite Workshop], Sep 2017, Quebec City, Canada. ⟨hal-01567343⟩
  • Claire Cury, Marc Lorenzi, David Cash, Jennifer Nicholas, Alexandre Routier, et al.. Spatio-Temporal Shape Analysis of Cross-Sectional Data for Detection of Early Changes in Neurodegenerative Disease. 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⟩. ⟨hal-01440061⟩
  • Jean Dumoncel, Gérard Subsol, Stanley Durrleman, Jean Pierre Jessel, Amélie Beaudet, et al.. How to build an average model when samples are variably incomplete? Application to fossil data. CVPRW: Computer Vision and Pattern Recognition Workshops, Jun 2016, Las Vegas, United States. pp.541-548, ⟨10.1109/CVPRW.2016.74⟩. ⟨lirmm-01381310⟩
  • Ana B. Graciano Fouquier, Eric Bardinet, Marie-Laure Welter, Carine Karachi, Jérôme Yelnik, et al.. Assessment of an iconic-geometric nonlinear registration method for deep brain stimulation (DBS) planning. Organization for Human Brain Mapping (OHBM) 2015, Jun 2015, Honolulu, Hawaii, United States. ⟨hal-01187468⟩
  • Alexandre Routier, Marcel Prastawa, Benjamin Charlier, Cédric Doucet, Joan Alexis Glaunès, et al.. Deformetrica: a software for statistical analysis of anatomical shapes. 21st Annual Meeting of the Organization for Human Brain Mapping, OHBM 2015, Jun 2015, Honolulu, United States. ⟨hal-01187469⟩
  • Jean Dumoncel, Gérard Subsol, Stanley Durrleman, José Braga, Amélie Beaudet, et al.. Comment caractériser la variabilité d'une surface 3D ? Analyse à partir d'exemples en anatomie comparée. GTMG 2015 - Journées du Groupe de Travail en Modélisation Géométrique, Apr 2015, Poitiers, France. pp.1-9. ⟨hal-03209334⟩
  • Barbara Gris, Stanley Durrleman, Alain Trouvé. A sub-Riemannian modular approach for diffeomorphic deformations. 2nd conference on Geometric Science of Information, Oct 2015, Paris-Saclay, France. ⟨hal-01191540⟩
  • Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Alexandre Routier, et al.. Joint Morphometry of Fiber Tracts and Gray Matter structures using Double Diffeomorphisms. IPMI - Information Processing in Medical Imaging, Jun 2015, Isle of Skye, United Kingdom. pp.275-287, ⟨10.1007/978-3-319-19992-4_21⟩. ⟨hal-01142628⟩
  • Emilie Gérardin, Joan Alexis Glaunès, Marie Chupin, Ana B. Graciano Fouquier, Kevin Roussel, et al.. Measuring the thickness of the hippocampal pyramidal layer using in vivo 7T MRI. Annual Meeting of the Organization for Human Brain Mapping, OHBM 2015, 2015, Honolulu, United States. ⟨hal-01188833⟩
  • Jean-Baptiste Schiratti, Stéphanie Allassonniere, Alexandre Routier, Olivier Colliot, Stanley Durrleman. A mixed-effects model with time reparametrization for longitudinal univariate manifold-valued data. 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. ⟨hal-01163213⟩
  • Barbara Gris, Stanley Durrleman, Alain Trouvé. A modular multi-scale model to build atlases of shapes with large deformations. Organization for Human Brain Mapping 2015, Jun 2015, Honolulu, United States. pp.1. ⟨hal-01191547⟩
  • Jean-Baptiste Schiratti, Stéphanie Allassonniere, Olivier Colliot, Stanley Durrleman. Learning spatiotemporal trajectories from manifold-valued longitudinal data. Neural Information Processing Systems, Dec 2015, Montréal, Canada. ⟨hal-01163373v3⟩
  • Jean-Baptiste Schiratti, Stéphanie Allassonnière, Olivier Colliot, Stanley Durrleman. Mixed-effects model for the spatiotemporal analysis of longitudinal manifold-valued data. 5th MICCAI Workshop on Mathematical Foundations of Computational Anatomy, Oct 2015, Munich, Germany. ⟨hal-01245905⟩
  • Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Alexandre Routier, et al.. Unified analysis of shape and structural connectivity of neural pathways. Organisation for Human Brain Mapping, 2015, Honolulu, United States. ⟨hal-01187461⟩
  • Ana B. Graciano Fouquier, Stanley Durrleman, Jérôme Yelnik, Sara Fernández-Vidal, Eric Bardinet. Iconic-Geometric Nonlinear Registration of a Basal Ganglia Atlas for Deep Brain Stimulation Planning. 2nd International MICCAI Workshop on Deep Brain Stimulation Methodological Challenges (DBSMC), Sep 2014, Boston, United States. ⟨hal-01108191⟩
  • Paola Caroppo, Marie-Odile Habert, Stanley Durrleman, Hugo Bertin, Alexandre Routier, et al.. Multimodal neuroimaging study in presymptomatic GRN mutations carriers. 9th International Conference on Frontotemporal Dementias (ICFTD), Oct 2014, Vancouver, Canada. ⟨hal-01114134⟩
  • Stanley Durrleman. Outils statistiques pour l'analyse de formes dans des bases de données longitudinales : Applications à la neuro-anatomie normale et pathologique. Reconnaissance de Formes et Intelligence Artificielle (RFIA) 2014, Jun 2014, Rouen, France. 6 p. ⟨hal-00988878⟩
  • Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Fabrizio de Vico Fallani, et al.. A Prototype Representation to Approximate White Matter Bundles with Weighted Currents. MICCAI 2014 - 17th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2014, Boston, United States. ⟨hal-01010702⟩
  • Prasanna Muralidharan, James Fishbaugh, Hans J. Johnson, Stanley Durrleman, Jane S. Paulsen, et al.. Diffeomorphic Shape Trajectories for Improved Longitudinal Segmentation and Statistics. 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⟩. ⟨hal-01108237⟩
  • James Fishbaugh, Marcel Prastawa, Guido Gerig, Stanley Durrleman. Geodesic regression of image and shape data for improved modeling of 4D trajectories. ISBI 2014 - 11th International Symposium on Biomedical Imaging, Apr 2014, Beijin, China. pp.385 - 388, ⟨10.1109/ISBI.2014.6867889⟩. ⟨hal-01108243⟩
  • Alexandre Routier, Pietro Gori, Ana B. Graciano Fouquier, Sophie Lecomte, Olivier Colliot, et al.. Evaluation of morphometric descriptors of deep brain structures for the automatic classification of patients with Alzheimer’s disease, mild cognitive impairment and elderly controls. MICCAI Workshop, Sep 2014, Cambridge, United States. pp.8. ⟨hal-01099081⟩
  • Jean Dumoncel, Stanley Durrleman, José Braga, Jean-Pierre Jessel, Gérard Subsol. Landmark-free 3D method for comparison of fossil hominins and hominids based on endocranium and EDJ shapes. 83rd Annual Meeting of the American Association of Physical Anthropologists (2014), AAPA: American Association of Physical Anthropologists, Apr 2014, Calgary, Canada. pp.110-111. ⟨hal-00935054⟩
  • Amélie Beaudet, Jean Dumoncel, Francis Thackeray, Stanley Durrleman, Gérard Subsol, et al.. Identification of Homo-like features in virtually rendered South African australopiths endocasts. Symposium Le Registre Fossile Humain Africain / The African Human Fossil Record (2014), Sep 2014, Toulouse, France. pp.(electronic medium). ⟨hal-03266927⟩
  • Stanley Durrleman. Deformetrics: describing and describing anatomical phenotypes with space deformations. Rank Prize Funds Symposium on Medical Imaging meets Computer Vision, 2013, Grasmere, United Kingdom. ⟨hal-00935055⟩
  • James Fishbaugh, Marcel Prastawa, Guido Gerig, Stanley Durrleman. Geodesic Shape Regression in the Framework of Currents. Information Processing in Medical Imaging, Jul 2013, Asilomar, United States. pp.718-729. ⟨hal-00935053⟩
  • Pietro Gori, Olivier Colliot, Yulia Worbe, Linda Marrakchi-Kacem, Sophie Lecomte, et al.. Towards joint morphometry of white matter tracts and gray matter surfaces. Human Brain Mapping, 2013, Seattle, United States. ⟨hal-00816138⟩
  • Pietro Gori, Olivier Colliot, Yulia Worbe, Linda Marrakchi-Kacem, Sophie Lecomte, et al.. Bayesian Atlas Estimation for the Variability Analysis of Shape Complexes. MICCAI 2013 : Medical Image Computing and Computer Assisted Intervention, Sep 2013, Nagoya, Japan. pp.267-274, ⟨10.1007/978-3-642-40811-3_34⟩. ⟨hal-01188791⟩
  • James Fishbaugh, Marcel Prastawa, Guido Gerig, Stanley Durrleman. Geodesic image regression with a sparse parameterization of diffeomorphisms. Geometric Science of Information, Aug 2013, Paris, France. pp.95-102. ⟨hal-00935052⟩
  • Alexandre Imperiale, Alexandre Routier, Stanley Durrleman, Philippe Moireau. Improving Efficiency of Data Assimilation Procedure for a Biomechanical Heart Model by Representing Surfaces as Currents. 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⟩. ⟨hal-00841442⟩
  • Stanley Durrleman, Marcel Prastawa, Julie R Korenberg, Sarang Joshi, Alain Trouvé, et al.. Topology preserving atlas construction from shape data without correspondence using sparse parameters.. MICCAI - Medical Image Computing And Computer Assisted Intervention, Oct 2012, Nice, France. pp.223-230, ⟨10.1007/978-3-642-33454-2_28⟩. ⟨hal-00818415⟩
  • James Fishbaugh, Stanley Durrleman, Joseph Piven, Guido Gerig. A framework for longitudinal data analysis via shape regression. SPIE - Medical Imaging 2012: Image Processing, Feb 2012, San Diego, United States. ⟨10.1117/12.911721⟩. ⟨hal-00818428⟩
  • Islem Rekik, Stéphanie Allassonniere, Stanley Durrleman, Carpenter Trevor, Joanna Wardlaw. 4D spatio-temporal perfusion-diffusion evolution scenarios estimation in acute-subacute ischemic stroke. ISMRM - International Society for Magnetic Resonance in Medicine, May 2012, Melbourne, Australia. ⟨hal-00818430⟩
  • Anuja Sharma, Stanley Durrleman, John Gilmore, Guido Gerig. Longitudinal Growth Modeling of Discrete-Time Functions with Application to DTI Tract Evolution in Early Neurodevelopment. ISBI - International Symposium on Biomedical Imaging, May 2012, Barcelone, Spain. pp.1397-1399, ⟨10.1109/ISBI.2012.6235829⟩. ⟨hal-00818411⟩
  • Islem Rekik, Stéphanie Allassonniere, Carpenter Trevor, Joanna Wardlaw, Stanley Durrleman. Dynamic Patient-specific Modeling of Ischemic Stroke Lesion Evolution: From Presentation to Final Damage using Diffusion, Perfusion and T2 MR imaging. XXI European Stroke Conference, May 2012, Lisbon, Portugal. ⟨hal-00818432⟩
  • James Fishbaugh, Marcel Prastawa, Stanley Durrleman, Joseph Piven, Guido Gerig. Analysis of longitudinal shape variability via subject specific growth modeling.. MICCAI - Medical Image Computing And Computer Assisted Intervention, Oct 2012, Nice, France. pp.731-738, ⟨10.1007/978-3-642-33415-3_90⟩. ⟨hal-00818412⟩
  • James Fishbaugh, Stanley Durrleman, Guido Gerig. Estimation of smooth growth trajectories with controlled acceleration from time series shape data.. MICCAI - Medical Image Computing And Computer Assisted Intervention, Sep 2011, Toronto, Canada. pp.401-418, ⟨10.1007/978-3-642-23629-7_49⟩. ⟨hal-00818406⟩
  • Stanley Durrleman, Marcel Prastawa, Guido Gerig, Sarang Joshi. Optimal data-driven sparse parameterization of diffeomorphisms for population analysis.. 22nd International Conference, IPMI 2011, Jul 2011, Kloster Irsee, Germany. pp.123-34, ⟨10.1007/978-3-642-22092-0_11⟩. ⟨hal-00818405⟩
  • Stanley Durrleman, Xavier Pennec, Alain Trouvé, Nicholas Ayache, José Braga. Measuring the inter-subject variability of endocast growth using shape regression and spatiotemporal registration. 79th Annual Meeting of the American Association of Physical Anthropologists, Apr 2010, Albuquerque, United States. ⟨hal-00935056⟩
  • Stanley Durrleman, Xavier Pennec, Alain Trouvé, Nicholas Ayache, José Braga. Comparison of the endocast growth of chimpanzees and bonobos via temporal regression and spatiotemporal registration. Miccai Workshop on Spatio-Temporal Image Analysis for Longitudinal and Time-Series Image Data, 2010, Beijing, China, China. ⟨inria-00616154⟩
  • V. Gorbunova, Stanley Durrleman, Pechin Lo, Xavier Pennec, M. de Bruijne. Lung CT registration combining intensity, curves and surfaces. Proceedings of the Seventh IEEE International Symposium on Biomedical Imaging 2010 (ISBI'10), 2010, Rotterdam, Netherlands. pp.340--343, ⟨10.1109/ISBI.2010.5490341⟩. ⟨inria-00616166⟩
  • Kristin Mcleod, Tommaso Mansi, Stanley Durrleman, Maxime Sermesant, Xavier Pennec. Statistical Analysis of the Anatomy: From Digital Patient to Digital Population. First VPH Conference (VPH2010), Jul 2010, Brussels, Belgium. ⟨hal-00813775⟩
  • Stanley Durrleman, Xavier Pennec, Alain Trouvé, Nicholas Ayache, José Braga. Measuring the inter-species variability of endocast growth using shape regression and spatiotemporal registration. 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. ⟨hal-00875361⟩
  • Nicolas Toussaint, Stanley Durrleman, Maxime Sermesant, Sebastian Kozerke, Philip G. Batchelor. Error Assessment on myocardial fiber orientations from DTI measurements. 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⟩. ⟨inria-00616173⟩
  • Stanley Durrleman, Xavier Pennec, Alain Trouvé, Guido Gerig, Nicholas Ayache. Spatiotemporal Atlas Estimation for Developmental Delay Detection in Longitudinal Datasets. 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⟩. ⟨inria-00616113⟩
  • Stanley Durrleman, Pierre Fillard, Xavier Pennec, Alain Trouvé, Nicholas Ayache. A statistical model of white matter fiber bundles based on currents.. 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⟩. ⟨inria-00502721⟩
  • V. Gorbunova, Stanley Durrleman, Pechin Lo, Xavier Pennec, M. de Bruijne. Curve- and surface-based registration of lung CT images via currents. Second International Workshop on Pulmonary Image Analysis, 2009, London United Kingdom, United Kingdom. pp.15--25. ⟨inria-00616136⟩
  • Tommaso Mansi, Stanley Durrleman, Boris Bernhardt, Maxime Sermesant, Hervé Delingette, et al.. A Statistical Model of Right Ventricle in Tetralogy of Fallot for Prediction of Remodelling and Therapy Planning. Medical Image Computing and Computer Assisted Intervention (MICCAI'09), 2009, London, UK, United Kingdom. pp.214-221, ⟨10.1007/978-3-642-04268-3_27⟩. ⟨inria-00616175⟩
  • Stanley Durrleman, Xavier Pennec, Alain Trouvé, Nicholas Ayache. Sparse approximation of currents for statistics on curves and surfaces.. MICCAI - 11th International Conference on Medical Image Computing And Computer Assisted Intervention, Sep 2008, New York, United States. pp.390-398, ⟨10.1007/978-3-540-85990-1_47⟩. ⟨hal-00818375⟩
  • Stanley Durrleman, Xavier Pennec, Alain Trouvé, Nicholas Ayache. A Forward Model to Build Unbiased Atlases from Curves and Surfaces. 2nd MICCAI Workshop on Mathematical Foundations of Computational Anatomy, Oct 2008, New-York, United States. pp.68-79. ⟨inria-00632875⟩
  • Stanley Durrleman, Xavier Pennec, Alain Trouvé, Nicholas Ayache. Measuring brain variability via sulcal lines registration: a diffeomorphic approach.. International Conference on Medical Imaging and Computer Assisted Intervention, Oct 2007, Brisbane, Australia. pp.675-82, ⟨10.1007/978-3-540-75757-3_82⟩. ⟨inria-00502704⟩

Poster communications8 documents

  • Pierre-Emmanuel Poulet, Jean-Christophe Corvol, Stanley Durrleman​. A latent mixed-effects model for longitudinal categorical data in Parkinson disease. CompAge 2020 - Computational approaches for ageing and age-related diseases 2020, Sep 2020, Paris / Virtual, France. ⟨hal-03136576⟩
  • Raphäel Couronné, Arnaud Valladier, Marie Vidhaillet, Jean Christophe Corvol, Stéphane Lehéricy, et al.. Modeling the progression of Parkinson's Disease: comparison of subjects with and without Sleep Disorders. CompAge - Computational approaches for ageing and age-related diseases, Sep 2020, Paris, France. ⟨hal-02945929v2⟩
  • Junhao Wen, Elina Thibeau-Sutre, Jorge Samper-Gonzalez, Alexandre Routier, Simona Bottani, et al.. How serious is data leakage in deep learning studies on Alzheimer’s disease classification?. Organization for Human Brain Mapping (OHBM), Jun 2019, Roma, Italy. ⟨hal-03365742⟩
  • Lou Albessard-Ball, Antoine Balzeau, Stanley Durrleman​, Pietro Gori, Dominique Grimaud-Hervé. Trends in cerebral organisation in Upper Palaeolithic and recent humans.. ESHE meeting, 2019, Liège, France. 2019. ⟨hal-02563529⟩
  • Clémentine Fourrier, Igor Koval, Simona Bottani, Olivier Colliot, Stanley Durrleman. Building disease progression models from longitudinal biomarkers. 5th Annual Human Brain Project Summit, Oct 2017, Glasgow, United Kingdom. ⟨hal-02466386⟩
  • Estelle Kuhn, Stéphanie Allassonnière, Stanley Durrleman. Convergent stochastic Expectation Maximization algorithm with efficient sampling in high dimension. Application to deformable template model estimation. 8th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2015), Dec 2015, London, United Kingdom. 2015. ⟨hal-01606162⟩
  • Jean-Baptiste Schiratti, Stéphanie Allassonniere, Olivier Colliot, Stanley Durrleman. Learning spatio-temporal trajectories from manifold-valued longitudinal data. Neural Information Processing Systems, Dec 2015, Montréal, Canada. Advances in Neural Information Processing Systems. ⟨hal-01245909⟩
  • Estelle Kuhn, Stéphanie Allassonniere, Stanley Durrleman. Convergent stochastic Expectation Maximization algorithm with efficient sampling in high dimension. Application to deformable template model estimation. 30th European Meeting of Statisticians -EMS, Jul 2015, Amsterdam, Netherlands. 2015. ⟨hal-01606163⟩

Book sections1 document

  • Bernard Ng, Matthew Toews, Stanley Durrleman, Yonggang Shi. Shape Analysis for Brain Structures: A Review. 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. ⟨hal-00925536⟩

Directions of work or proceedings6 documents

  • Dajiang Zhu, Jingwen Yan, Heng Huang, Li Shen, Paul M. Thompson, et al.. Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy: 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. 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. 11846, Springer, 2019, Lecture Notes in Computer Science (LNCS), ⟨10.1007/978-3-030-33226-6⟩. ⟨hal-02341877⟩
  • Jorge Cardoso, Tal Arbel, Enzo Ferrante, Xavier Pennec, Dalca Adrian V., et al.. Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics: First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings. 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. France. 10551, 2017, Lecture Notes in Computer Science, ⟨10.1007/978-3-319-67675-3⟩. ⟨hal-01597839⟩
  • Xavier Pennec, Sarang Joshi, Mads Nielsen, Thomas P. Fletcher, Stanley Durrleman, et al.. Proceedings of the fifth international workshop on Mathematical Foundations of Computational Anatomy (MFCA 2015). Pennec, Xavier and Joshi, Sarang and Nielsen, Mads and Fletcher, Thomas P. and Durrleman, Stanley and Sommer, Stefan Mathematical Foundations of Computational Anatomy (MFCA 2015), Oct 2015, Munich, Germany. pp.173, 2015. ⟨hal-01203812⟩
  • Stanley Durrleman, Thomas P. Fletcher, Guido Gerig, Marc Niethammer, Xavier Pennec. Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data: Third International Workshop, STIA 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers. Durrleman, Stanley; Fletcher, Thomas P.; Gerig, Guido; Niethammer, Marc ; Pennec, Xavier STIA 2014 - Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, Sep 2014, Cambridge, United States. , 8682, Springer International Publishing, pp.89, 2015, Lecture notes in computer science, 978-3-319-14904-2. ⟨10.1007/978-3-319-14905-9⟩. ⟨hal-01114150⟩
  • Xavier Pennec, Sarang Joshi, Mads Nielsen, Thomas Fletcher, Stanley Durrleman, et al.. 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. Pennec, Xavier and Joshi, Sarang and Nielsen, Mads and Fletcher, Tom P. and Durrleman, Stanley and Sommer, Stefan. Inria, pp.132, 2013. ⟨hal-00873631⟩
  • Stanley Durrleman, Fletcher Tom, Guido Gerig, Marc Niethammer. Proceedings of Second International Workshop on Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data. S. Durrleman and T. Fletcher and G. Gerig and M. Niethammer. France. 7570, Springer, pp.163, 2012, Lecture Notes in Computer Science (LNCS), 978-3-642-33554-9. ⟨10.1007/978-3-642-33555-6⟩. ⟨hal-00818355⟩

Preprints, Working Papers, ...6 documents

  • Vianney Debavelaere, Stanley Durrleman, Stéphanie Allassonnière. On the convergence of stochastic approximations under a subgeometric ergodic Markov dynamic. 2020. ⟨hal-02549618v2⟩
  • Igor Koval, Stéphanie Allassonnière, Stanley Durrleman. Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects. 2019. ⟨hal-02089881⟩
  • Maxime Louis, Raphäel Couronné, Igor Koval, Benjamin Charlier, Stanley Durrleman. Riemannian geometry learning for disease progression modelling. 2019. ⟨hal-02079820v2⟩
  • Raphäel Couronné, Maxime Louis, Stanley Durrleman. Longitudinal autoencoder for multi-modal disease progression modelling. 2019. ⟨hal-02090886v2⟩
  • Claire Cury, Stanley Durrleman, David M. Cash, Marco Lorenzi, Jennifer Nicholas, et al.. Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: applied to GENFI study. 2018. ⟨hal-01856906⟩
  • Maxime Louis, Benjamin Charlier, Stanley Durrleman. Learning Riemannian geometry for mixed-effect models using deep generative networks.. 2018. ⟨hal-01828949⟩

Reports4 documents

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

Theses1 document

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