Stanley Durrleman
Publications
Publications
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Impact of sex and APOE-ε4 genotype on regional brain metabolism in Alzheimer's DiseaseISBI 2023 - IEEE 20th International Symposium on Biomedical Imaging, Apr 2023, Cartagena, Colombia |
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A Multimodal Disease Progression Model for Genetic Associations with Disease DynamicsMedical Image Computing and Computer Assisted Intervention – MICCAI 2023, Oct 2023, Vancouver, Canada. pp.601-610, ⟨10.1007/978-3-031-43904-9_58⟩ |
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Longitudinal Modelling for Single Nucleotide Polymorphism Associations with Alzheimer’s DiseaseAAIC 2023 — Alzheimer's Association International Conference, Jul 2023, Amsterdam, Netherlands |
Joint model with latent disease age Overcoming the need for reference timeJournées 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 |
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Longitudinal Variational Autoencoders learn a Riemannian progression model for imaging dataGeoMedIA Workshop 2022 - Geometric Deep Learning in Medical Image Analysis, Nov 2022, Amsterdam, Netherlands |
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Advances in the Clinica software platform for clinical neuroimaging studiesOHBM 2022 - Annual meeting of the Organization for Human Brain Mapping, Jun 2022, Glasgow, United Kingdom |
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Tau Protein Discrete Aggregates in Alzheimer's Disease: Neuritic Plaques and Tangles Detection and Segmentation using Computational HistopathologySPIE Medical Imaging 2022, Feb 2022, San Diego, United States |
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Progression models for imaging data with Longitudinal Variational Auto EncodersMICCAI 2022, International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2022, Singapore, Singapore |
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Riemannian metric learning for progression modeling of longitudinal datasetsISBI 2022 - International Symposium on Biomedical Imaging, Mar 2022, Kolkata, India |
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Clinica: an open-source software platform for reproducible clinical neuroscience studiesMRI Together 2021 - A global workshop on Open Science and Reproducible MR Research, Dec 2021, Online, France |
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Learning Riemannian metric for disease progression modelingNeurIPS 2021 - Thirty-fifth Conference on Neural Information Processing Systems, Dec 2021, Virtual event, France |
Forecast Alzheimer's disease progression to better select patients for clinical trialsISCB 2021: 42nd Conference of the International Society for Clinical Biostatistics, Jul 2021, Online, France |
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Forecast Parkinson Disease Progression to Better Select Patients into TrialsAD/PD 2021 - 15th International Conference on Alzheimer’s and Parkinson’s Diseases and related neurological disorders, Mar 2021, Online, France |
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Timing and order of pathological events in Alzheimer's disease: focus on the trajectory of the awareness of cognitive declineAD/PD 2021 - 15thInternational Conference on Alzheimer’s and Parkinson’s Diseases and related neurological disorders, Mar 2021, Barcelone / Virtual, Spain |
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Longitudinal self-supervision to disentangle inter-patient variability from disease progressionMICCAI 2021 - 24th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2021, Strasbourg, France |
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Mixture modeling for identifying subtypes in disease course mappingInformation Processing in Medical Imaging, 27th International Conference, Jun 2021, Virtual event, France. ⟨10.1007/978-3-030-78191-0_44⟩ |
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Awareness of cognitive decline through the continuum of Alzheimer’s disease and its association to APOE-ε4 and amyloid loadAAIC 2020, Jul 2020, Amsterdam, Netherlands |
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Longitudinal comparison of subjects with and without Sleep Disorders in Parkinson's DiseaseVPH 2020 - Virtual Physiological Human, Aug 2020, Paris / Virtual, France |
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Towards cross-cohort estimation of cognitive decline in neurodegenerative diseasesVPH 2020 - Virtual Physiological Human, Aug 2020, Paris / Virtual, France |
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Prediction of biomarkers' trajectory in Huntington's disease: application to precise clinical trial designCompAge 2020 - Computational approaches for ageing and age-related diseases, Sep 2020, Paris, France |
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New longitudinal and deep learning pipelines in the Clinica software platformOHBM 2020 - Annual meeting of the Organization for Human Brain Mapping, Jun 2020, Montreal / Virtual, Canada |
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Learning joint shape and appearance representations with metamorphic auto-encodersMICCAI 2020 - 23rd International Conference on Image Computing and Computer Assisted Interventions, Oct 2020, Lima / Virtual, Peru |
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Hierarchical modeling of Alzheimer's disease progression from a large longitudinal MRI data setVPH 2020 - Virtual Physiological Human 2020, Aug 2020, Paris / Virtual, France |
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Forecast of the MMSE score up to 6 years ahead, with cross-cohort replicationsCompAge 2020 - Computational approaches for ageing and age-related diseases, Sep 2020, Paris / Virtual, France |
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Hierarchical modeling of Alzheimer's disease progression from a large longitudinal MRI data setOHBM 2019 - 25th Annual Meeting of the Organization for Human Brain Mapping, Jun 2019, Roma, Italy |
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Learning low-dimensional representations of shape data sets with diffeomorphic autoencodersIPMI 2019 : Information Processing in Medical Imaging, Jun 2019, Hong-Kong, China |
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Learning disease progression models with longitudinal data and missing valuesISBI 2019 - International Symposium on Biomedical Imaging, Apr 2019, Venice, Italy |
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Beware of feature selection bias! Example on Alzheimer's disease classification from diffusion MRI2019 OHBM Annual Meeting - Organization for Human Brain Mapping, Jun 2019, Rome, Italy |
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Deciphering the progression of PET alterations using surface-based spatiotemporal modelingOHBM 2019 - Annual meeting of the Organization for Human Brain Mapping, Jun 2019, Rome, Italy |
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How serious is data leakage in deep learning studies on Alzheimer’s disease classification?Organization for Human Brain Mapping (OHBM), Jun 2019, Roma, Italy |
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Riemannian Geometry Learning for Disease Progression ModellingInformation Processing in Medical Imaging - IPMI 2019, Jun 2019, Hong-Kong, China. pp.542-553, ⟨10.1007/978-3-030-20351-1_42⟩ |
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Auto-encoding meshes of any topology with the current-splatting and exponentiation layersGeometry Meets Deep Learning @ ICCV 2019, Oct 2019, Séoul, South Korea |
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Clustering of longitudinal shape data sets using mixture of separate or branching trajectoriesMedical Image Computing and Computer Assisted Intervention -- MICCAI, Oct 2019, Shenzhen, China. pp.66-74 |
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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 |
Motor abnormalities progression in prodromal PDAD/PD 2019 - 14th International Conference on Alzheimer's and Parkinson's Diseases and related neurological disorders, Mar 2019, Lisbon, Portugal |
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New advances in the Clinica software platform for clinical neuroimaging studiesOHBM 2019 - Annual Meeting on Organization for Human Brain Mapping, Jun 2019, Roma, Italy. ⟨10.1016/j.neuroimage.2011.09.015⟩ |
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Prediction of future cognitive scores and dementia onset in Mild Cognitive Impairment patientsOHBM 2019 - Organization for Human Brain Mapping Conference, Jun 2019, Rome, Italy |
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Comparison of DTI Features for the Classification of Alzheimer's Disease: A Reproducible StudyOHBM 2018 - Organization for Human Brain Mapping Annual Meeting, Jun 2018, Singapour, Singapore |
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Clinica: an open source software platform for reproducible clinical neuroscience studiesAnnual meeting of the Organization for Human Brain Mapping - OHBM 2018, Jun 2018, Singapore, Singapore |
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Using diffusion MRI for classification and prediction of Alzheimer's Disease: a reproducible studyAAIC 2018 - Alzheimer's Association International Conference, Jul 2018, Chicago, United States |
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Reproducible evaluation of Alzheimer's Disease classification from MRI and PET dataAnnual meeting of the Organization for Human Brain Mapping - OHBM 2018, Jun 2018, Singapour, Singapore |
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Learning distributions of shape trajectories from longitudinal datasets: a hierarchical model on a manifold of diffeomorphismsCVPR 2018 - Computer Vision and Pattern Recognition 2018, Jun 2018, Salt Lake City, United States |
A new approach to quantify enamel thickness distribution and the enamel-dentine junction topography in primate teethSMEF 2018 - 10e Symposium de Morphométrie et Évolution des Formes, Laboratoire PACEA (UMR 5199), LabEx des Sciences Archéologiques de Bordeaux (France), Jun 2018, Bordeaux, France |
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Design of a decision support system for predicting the progression of Alzheimer’s diseaseAlzheimer's Association International Conference, Jul 2018, Chicago, United States. pp.P433, ⟨10.1016/j.jalz.2018.06.371⟩ |
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Deformetrica 4: an open-source software for statistical shape analysisShapeMI @ MICCAI 2018 - Workshop on Shape in Medical Imaging, Sep 2018, Granada, Spain |
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NODDI Highlights Promising New Markers In Presymptomatic C9orf72 CarriersOHBM 2018 - Organization for Human Brain Mapping Annual Meeting, Jun 2018, Singapour, Singapore |
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Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial TrainingMICCAI 2018 – 21st International Conference On Medical Image Computing & Computer Assisted Intervention, Sep 2018, Granada, Spain. ⟨10.1007/978-3-030-00931-1_59⟩ |
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A pipeline for the analysis of 18F-FDG PET data on the cortical surface and its evaluation on ADNIAnnual meeting of the Organization for Human Brain Mapping - OHBM 2018, Jun 2018, Singapour, Singapore |
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FLAIR MR Image Synthesis By Using 3D Fully Convolutional Networks for Multiple SclerosisISMRM-ESMRMB 2018 - Joint Annual Meeting, Jun 2018, Paris, France. pp.1-6 |
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Prediction of amyloidosis from neuropsychological and MRI data for cost effective inclusion of pre-symptomatic subjects in clinical trialsMultimodal Learning for Clinical Decision Support, Sep 2017, Quebec City, Canada |
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Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networksMedical Image Computing and Computer Assisted Intervention, Sep 2017, Quebec City, Canada |
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Individual Analysis of Molecular Brain Imaging Data Through Automatic Identification of Abnormality PatternsComputational Methods for Molecular Imaging - [MICCAI 2017 Satellite Workshop], Sep 2017, Quebec City, Canada |
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White Matter Fiber Segmentation Using Functional VarifoldsMFCA 2017 - 6th MICCAI workshop on Mathematical Foundations of Computational Anatomy, Sep 2017, Québec, Canada. pp.92-100 |
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Yet Another ADNI Machine Learning Paper? Paving The Way Towards Fully-reproducible Research on Classification of Alzheimer's DiseaseMachine Learning in Medical Imaging 2017, Sep 2017, Quebec City, Canada. pp.8 |
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Early Diagnosis of Alzheimer’s Disease Using Subject-Specific Models of FDG-PET DataAAIC 2017 - Alzheimer's Association International Conference, Jul 2017, London, United Kingdom. pp.1-2, ⟨10.1016/j.jalz.2017.06.1618⟩ |
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Parallel transport in shape analysis : a scalable numerical schemeGeometric Science of Information, Nov 2017, Paris, France |
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Prediction of the progression of subcortical brain structures in Alzheimer's disease from baseline6th MICCAI Workshop on Mathematical Foundations of Computational Anatomy, Sep 2017, Quebec City, Canada |
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Selection of amyloid positive pre-symptomatic subjects using automatic analysis of neuropsychological and MRI data for cost effective inclusion procedures in clinical trialsClinical Trials for Alzheimer's Disease, Nov 2017, Boston, United States. pp.295 |
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Diagnosis of Alzheimer’s Disease Through Identification of Abnormality Patterns in FDG PET Data30th Annual Congress of the European Association of Nuclear Medicine (EANM), Oct 2017, Vienna, Austria. pp.253 - 254, ⟨10.1007/s00259-017-3822-1⟩ |
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Spatio-Temporal Shape Analysis of Cross-Sectional Data for Detection of Early Changes in Neurodegenerative DiseaseSeSAMI 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⟩ |
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How to build an average model when samples are variably incomplete? Application to fossil dataComputer Vision and Pattern Recognition Workshops (CVPRW 2016), Jun 2016, Las Vegas, United States. pp.541--548, ⟨10.1109/CVPRW.2016.74⟩ |
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Learning spatiotemporal trajectories from manifold-valued longitudinal dataNeural Information Processing Systems, Dec 2015, Montréal, Canada |
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Assessment of an iconic-geometric nonlinear registration method for deep brain stimulation (DBS) planningOrganization for Human Brain Mapping (OHBM) 2015, Jun 2015, Honolulu, Hawaii, United States |
A modular multi-scale model to build atlases of shapes with large deformationsOrganization for Human Brain Mapping 2015, Jun 2015, Honolulu, United States. pp.1 |
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A sub-Riemannian modular approach for diffeomorphic deformations2nd conference on Geometric Science of Information, Oct 2015, Paris-Saclay, France |
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Unified analysis of shape and structural connectivity of neural pathwaysOrganisation for Human Brain Mapping, 2015, Honolulu, United States |
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Deformetrica: a software for statistical analysis of anatomical shapes21st Annual Meeting of the Organization for Human Brain Mapping, OHBM 2015, Jun 2015, Honolulu, United States |
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A mixed-effects model with time reparametrization for longitudinal univariate manifold-valued data IPMI - Information Processing in Medical Imaging |
Measuring the thickness of the hippocampal pyramidal layer using in vivo 7T MRIAnnual Meeting of the Organization for Human Brain Mapping, OHBM 2015, 2015, Honolulu, United States |
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Joint Morphometry of Fiber Tracts and Gray Matter structures using Double DiffeomorphismsIPMI - Information Processing in Medical Imaging, Jun 2015, Isle of Skye, United Kingdom. pp.275-287, ⟨10.1007/978-3-319-19992-4_21⟩ |
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Mixed-effects model for the spatiotemporal analysis of longitudinal manifold-valued data5th MICCAI Workshop on Mathematical Foundations of Computational Anatomy, Oct 2015, Munich, Germany |
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Comment caractériser la variabilité d'une surface 3D ? Analyse à partir d'exemples en anatomie comparéeGTMG 2015 - Journées du Groupe de Travail en Modélisation Géométrique, Apr 2015, Poitiers, France. pp.1-9 |
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A Prototype Representation to Approximate White Matter Bundles with Weighted CurrentsMICCAI 2014 - 17th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2014, Boston, United States |
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Diffeomorphic Shape Trajectories for Improved Longitudinal Segmentation and Statistics17th 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⟩ |
Multimodal neuroimaging study in presymptomatic GRN mutations carriers9th International Conference on Frontotemporal Dementias (ICFTD), Oct 2014, Vancouver, Canada |
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Geodesic regression of image and shape data for improved modeling of 4D trajectoriesISBI 2014 - 11th International Symposium on Biomedical Imaging, Apr 2014, Beijin, China. pp.385 - 388, ⟨10.1109/ISBI.2014.6867889⟩ |
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Iconic-Geometric Nonlinear Registration of a Basal Ganglia Atlas for Deep Brain Stimulation Planning2nd International MICCAI Workshop on Deep Brain Stimulation Methodological Challenges (DBSMC), Sep 2014, Boston, United States |
Landmark-free 3D method for comparison of fossil hominins and hominids based on endocranium and EDJ shapes83rd Annual Meeting of the American Association of Physical Anthropologists (2014), AAPA: American Association of Physical Anthropologists, Apr 2014, Calgary, Canada. pp.110-111 |
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Identification of Homo-like features in virtually rendered South African australopiths endocastsSymposium Le Registre Fossile Humain Africain / The African Human Fossil Record (2014), Sep 2014, Toulouse, France. pp.(electronic medium) |
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Evaluation of morphometric descriptors of deep brain structures for the automatic classification of patients with Alzheimer’s disease, mild cognitive impairment and elderly controlsMICCAI Workshop, Sep 2014, Cambridge, United States. pp.8 |
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Outils statistiques pour l'analyse de formes dans des bases de données longitudinales : Applications à la neuro-anatomie normale et pathologiqueReconnaissance de Formes et Intelligence Artificielle (RFIA) 2014, Jun 2014, Rouen, France. 6 p |
Geodesic image regression with a sparse parameterization of diffeomorphismsGeometric Science of Information, Aug 2013, Paris, France. pp.95-102 |
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Towards joint morphometry of white matter tracts and gray matter surfacesHuman Brain Mapping, 2013, Seattle, United States |
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Geodesic Shape Regression in the Framework of CurrentsInformation Processing in Medical Imaging, Jul 2013, Asilomar, United States. pp.718-729 |
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Bayesian Atlas Estimation for the Variability Analysis of Shape ComplexesMICCAI 2013 : Medical Image Computing and Computer Assisted Intervention, Sep 2013, Nagoya, Japan. pp.267-274, ⟨10.1007/978-3-642-40811-3_34⟩ |
Deformetrics: describing and describing anatomical phenotypes with space deformationsRank Prize Funds Symposium on Medical Imaging meets Computer Vision, 2013, Grasmere, United Kingdom |
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Improving Efficiency of Data Assimilation Procedure for a Biomechanical Heart Model by Representing Surfaces as CurrentsFIMH - 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⟩ |
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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⟩ |
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A framework for longitudinal data analysis via shape regressionSPIE - Medical Imaging 2012: Image Processing, Feb 2012, San Diego, United States. ⟨10.1117/12.911721⟩ |
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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⟩ |
Dynamic Patient-specific Modeling of Ischemic Stroke Lesion Evolution: From Presentation to Final Damage using Diffusion, Perfusion and T2 MR imagingXXI European Stroke Conference, May 2012, Lisbon, Portugal |
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4D spatio-temporal perfusion-diffusion evolution scenarios estimation in acute-subacute ischemic strokeISMRM - International Society for Magnetic Resonance in Medicine, May 2012, Melbourne, Australia |
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Longitudinal Growth Modeling of Discrete-Time Functions with Application to DTI Tract Evolution in Early NeurodevelopmentISBI - International Symposium on Biomedical Imaging, May 2012, Barcelone, Spain. pp.1397-1399, ⟨10.1109/ISBI.2012.6235829⟩ |
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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⟩ |
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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⟩ |
Lung CT registration combining intensity, curves and surfacesProceedings of the Seventh IEEE International Symposium on Biomedical Imaging 2010 (ISBI'10), 2010, Rotterdam, Netherlands. pp.340--343, ⟨10.1109/ISBI.2010.5490341⟩ |
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Comparison of the endocast growth of chimpanzees and bonobos via temporal regression and spatiotemporal registrationMiccai Workshop on Spatio-Temporal Image Analysis for Longitudinal and Time-Series Image Data, 2010, Beijing, China, China |
Measuring the inter-species variability of endocast growth using shape regression and spatiotemporal registrationAbstracts 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 |
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Statistical Analysis of the Anatomy: From Digital Patient to Digital PopulationFirst VPH Conference (VPH2010), Jul 2010, Brussels, Belgium |
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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⟩ |
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A Statistical Model of Right Ventricle in Tetralogy of Fallot for Prediction of Remodelling and Therapy PlanningMICCAI 2009 - Medical Image Computing and Computer Assisted Intervention, 2009, London, UK, United Kingdom. pp.214-221, ⟨10.1007/978-3-642-04268-3_27⟩ |
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Error Assessment on myocardial fiber orientations from DTI measurementsBook 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⟩ |
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Curve- and surface-based registration of lung CT images via currentsSecond International Workshop on Pulmonary Image Analysis, 2009, London United Kingdom, United Kingdom. pp.15--25 |
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Spatiotemporal Atlas Estimation for Developmental Delay Detection in Longitudinal DatasetsMedical 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⟩ |
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A Forward Model to Build Unbiased Atlases from Curves and SurfacesMFCA 2008 - Mathematical Foundations of Computational Anatomy, Oct 2008, New-York, United States. pp.68-79 |
Sparse approximation of currents for statistics on curves and surfaces.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⟩ |
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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⟩ |
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Longitudinal and survival joint prediction: time reparameterization in amyotrophic lateral sclerosis contextISCB 2023 - 44th Annual Conference of the International Society for Clinical Biostatistics, Aug 2023, Milan, Italy |
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Non-parametric modeling for dopaminergic treatment effect in Parkinson's diseaseAD/PD 2023 - 17th International Conference on Alzheimer‘s & Parkinson‘s Diseases, Mar 2023, Goteborg, Sweden |
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Gender and spinal/bulbar onset interaction on ALS progressionENCALS 2022 - European Network to Cure ALS meeting, Jun 2022, Edinburgh, United Kingdom |
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Learning treatment effect in neurodegenerative diseases with a Bayesian mixed-effect model43rd Annual Conference of the International Society for Clinical Biostatistics (ISCB), Aug 2022, Newcastle upon Tyne, United Kingdom |
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Gender and spinal/bulbar onset interaction on ALS progressionISCB 2022 - 43rd Annual Conference of the International Society for Clinical Biostatistics, Aug 2022, Newcastle, United Kingdom |
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Covariate-Aware Longitudinal Modelling for Neurodegenerative Diseases43rd Annual Conference of the International Society for Clinical Biostatistics (ISCB), Aug 2022, Newcastle, United Kingdom. |
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Predicting symptom onset in Parkinson's disease with latent mixed-effect modelAD/PD 2021 - 15th International Conference on Alzheimer‘s & Parkinson‘s Diseases, Mar 2021, Barcelone / Virtual, Spain |
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A latent mixed-effects model for longitudinal categorical data in Parkinson diseaseCompAge 2020 - Computational approaches for ageing and age-related diseases 2020, Sep 2020, Paris / Virtual, France |
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Modeling the progression of Parkinson's Disease: comparison of subjects with and without Sleep DisordersCompAge - Computational approaches for ageing and age-related diseases, Sep 2020, Paris, France |
Trends in cerebral organisation in Upper Palaeolithic and recent humans.ESHE meeting, Sep 2019, Liège, Belgium. 2019 |
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Building disease progression models from longitudinal biomarkers5th Annual Human Brain Project Summit, Oct 2017, Glasgow, United Kingdom |
Convergent stochastic Expectation Maximization algorithm with efficient sampling in high dimension. Application to deformable template model estimation8th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2015), Dec 2015, London, United Kingdom. , 2015 |
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Learning spatio-temporal trajectories from manifold-valued longitudinal dataNeural Information Processing Systems, Dec 2015, Montréal, Canada. , Advances in Neural Information Processing Systems |
Convergent stochastic Expectation Maximization algorithm with efficient sampling in high dimension. Application to deformable template model estimation30th European Meeting of Statisticians -EMS, Jul 2015, Amsterdam, Netherlands. 2015 |
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Multimodal Brain Image Analysis and Mathematical Foundations of Computational AnatomyZhu, 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⟩ |
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Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging GeneticsJorge 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⟩ |
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Proceedings of the Fourth International Workshop on Mathematical Foundations of Computational Anatomy - Geometrical and Statistical Methods for Biological Shape Variability Modeling (MFCA 2013), Nagoya, JapanPennec, Xavier and Joshi, Sarang and Nielsen, Mads and Fletcher, Tom P. and Durrleman, Stanley and Sommer, Stefan. Inria, pp.132, 2013 |
Proceedings of Second International Workshop on Spatio-temporal Image Analysis for Longitudinal and Time-Series Image DataS. 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⟩ |
Shape Analysis for Brain Structures: A ReviewLi, 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 |
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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 |
Spatio-temporal Image Analysis for Longitudinal and Time-Series Image DataDurrleman, 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⟩ |