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Publications of year 2018

Books and proceedings

  1. Martin Bauer, Nicolas Charon, Philipp Harms, Boris Khesin, Alice Le Brigant, Elodie Maignant, Stephen Marsland, Peter Michor, Xavier Pennec, Stephen C. Preston, Stefan Sommer, and François-Xavier Vialard. Math in the Black Forest: Workshop on New Directions in Shape Analysis. Published by the authors, November 2018. Note: 27 pages, 4 figures. [bibtex-entry]


Thesis

  1. Pamela Moceri. From normal right ventricle to pathology : shape and function analysis with different loading conditions using imaging and modelling. Theses, Université Côte d'Azur, January 2018. Keyword(s): Strain imaging, Right ventricle, Medical imaging, Echocardiography, Fonction ventriculaire droite, Imagerie médicale, Échocardiographie, Modélisation. [bibtex-entry]


Articles in journal, book chapters

  1. Martino Alessandrini, Bidisha Chakraborty, Brecht Heyde, Olivier Bernard, Mathieu De Craene, Maxime Sermesant, and Jan D'Hooge. Realistic Vendor-Specific Synthetic Ultrasound Data for Quality Assurance of 2-D Speckle Tracking Echocardiography: Simulation Pipeline and Open Access Database. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 65(3):411-422, March 2018. [bibtex-entry]


  2. Fabien Almairac, Denys Fontaine, Thomas Demarcy, Hervé Delingette, Stephanie Beuil, and Charles Raffaelli. Motor cortex neurovascular coupling: inputs from ultra--high-frequency ultrasound imaging in humans. Journal of Neurosurgery, pp 1-7, November 2018. Keyword(s): Motor cortex, Ultrasound, Imaging methodology, Neurovascular coupling, Cerebral blood flow, Clinical neurophysiology, Diagnostic technique. [bibtex-entry]


  3. Luigi Antelmi, Nicholas Ayache, Philippe Robert, and Marco Lorenzi. Multi-Channel Stochastic Variational Inference for the Joint Analysis of Heterogeneous Biomedical Data in Alzheimer's Disease. Lecture Notes in Computer Science, 11038:15-23, 2018. [bibtex-entry]


  4. Jonathan Benzaquen, Jacques Boutros, Charles Marquette, Hervé Delingette, and Paul Hofman. Lung Cancer Screening, Towards a Multidimensional Approach: Why and How?. Cancers, 10, 2018. Keyword(s): artificial intelligence, screening, lung cancer. [bibtex-entry]


  5. Olivier Bernard, Alain Lalande, Clement Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Angel Gonzalez Ballester, Gerard Sanroma, Sandy Napel, Steffen Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Varghese Alex Kollerathu, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jager, Klaus H Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Chrisitan Baumgartner, Lisa Koch, Jelmer Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, and Pierre-Marc Jodoin. Deep Learning Techniques for Automatic MRI Cardiac Multi-structures Segmentation and Diagnosis: Is the Problem Solved?. IEEE Transactions on Medical Imaging, 37(11):2514-2525, May 2018. Keyword(s): Myocardium, Lleft and right ventricles, MRI, Deep learning, Cardiac segmentation and diagnosis. [bibtex-entry]


  6. Rocio Cabrera Lozoya, Benjamin Berte, Hubert Cochet, Pierre Jaïs, Nicholas Ayache, and Maxime Sermesant. Model-based Feature Augmentation for Cardiac Ablation Target Learning from Images. IEEE Transactions on Biomedical Engineering, pp 1, March 2018. Keyword(s): cardiac elec-, Index Terms-radio-frequency ablation planning, intracardiac electrogram modelling, electroanatomical mapping, trophysiology modelling. [bibtex-entry]


  7. Nicolas Cedilnik, Josselin Duchateau, Rémi Dubois, Frédéric Sacher, Pierre Jaïs, Hubert Cochet, and Maxime Sermesant. Fast Personalized Electrophysiological Models from CT Images for Ventricular Tachycardia Ablation Planning. EP-Europace, 20, November 2018. Keyword(s): Electrophysiology, Sudden Cardiac Death, Computed Tomography, Computational Modelling, Catheter Ablation, Myocardial Infarction. [bibtex-entry]


  8. Marco Corneli, Charles Bouveyron, Pierre Latouche, and Fabrice Rossi. The dynamic stochastic topic block model for dynamic networks with textual edges. Statistics and Computing, 2018. Keyword(s): latent Dirichlet allocation, Dynamic random graph, stochastic block model, non homogeneous Poisson process, model based clustering, topic modeling. [bibtex-entry]


  9. Nicolas Duchateau, Maxime Sermesant, Hervé Delingette, and Nicholas Ayache. Model-based generation of large databases of cardiac images: synthesis of pathological cine MR sequences from real healthy cases. IEEE Transactions on Medical Imaging, 37:755-766, 2018. Keyword(s): large database for machine learning, biomechanical modeling, Image synthesis and simulation, magnetic resonance., validation, myocardial infarct. [bibtex-entry]


  10. Leman Feng, Pierre Alliez, Laurent Busé, Hervé Delingette, and Mathieu Desbrun. Curved Optimal Delaunay Triangulation. ACM Transactions on Graphics, 37(4):16, August 2018. Keyword(s): Optimal Delaunay Triangulations, Optimal Delau-nay Triangulations, Additional Key Words and Phrases: Higher-order meshing, CCS Concepts: $\bullet$ Mathematics of computing $\rightarrow$ Mesh generation, Bézier elements ACM Reference Format:, Mesh generation, Bézier elements, Higher-order meshing, higher order finite elements. [bibtex-entry]


  11. Sebastiano Ferraris, Johannes Van Der Merwe, Lennart van Der Veeken, Ferran Prados, Juan Eugenio Iglesias, Marco Lorenzi, Andrew Melbourne, Marc M Modat, Willy Gsell, Jan Deprest, and Tom Vercauteren. A magnetic resonance multi-atlas for the neonatal rabbit brain. NeuroImage, 179:187 - 198, October 2018. [bibtex-entry]


  12. Sophie Giffard-Roisin, Hervé Delingette, Thomas Jackson, Jessica Webb, Lauren Fovargue, Jack Lee, Christopher A Rinaldi, Reza Razavi, Nicholas Ayache, and Maxime Sermesant. Transfer Learning from Simulations on a Reference Anatomy for ECGI in Personalised Cardiac Resynchronization Therapy. IEEE Transactions on Biomedical Engineering, 20, 2018. Keyword(s): In- verse Problem of ECG, Index Terms-Cardiac Electrophysiology, ECG Imaging, Cardiac Electrophysiology, Inverse Problem of ECG, Personalisation. [bibtex-entry]


  13. Pietro Gori, Olivier Colliot, Linda Marrakchi Kacem, Yulia Worbe, Alexandre Routier, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, and Stanley Durrleman. Double diffeomorphism: combining morphometry and structural connectivity analysis. IEEE Transactions on Medical Imaging, 37(9):2033-2043, September 2018. Keyword(s): Structural connectivity, Diffeomorphisms, Multi-object, Atlas, Neural circuits, Shape, Morphometry, Tourette, Complex. [bibtex-entry]


  14. Rashed Karim, Lauren-Emma Blake, Jiro Inoue, Qian Tao, Shuman Jia, R. James James Housden, Pranav Bhagirath, Jean-Luc Duval, Marta Varela, Jonathan Behar, Loïc Cadour, Rob J van der Geest, Hubert Cochet, Maria Drangova, Maxime Sermesant, Reza Razavi, Oleg Aslanidi, Ronak Rajani, and Kawal S. Rhode. Algorithms for left atrial wall segmentation and thickness -- Evaluation on an open-source CT and MRI image database. Medical Image Analysis, 50:36 - 53, December 2018. Keyword(s): Left atrial wall thickness, Left atrium, Myocardium, Atrial fibrillation. [bibtex-entry]


  15. Marco Lorenzi, Andre Altmann, Boris Gutman, Selina Wray, Charles Arber, Derrek D Hibar, Neda J Jahanshad, Jonathan Schott, Daniel Alexander, Paul M. Thompson, and Sébastien Ourselin. Susceptibility of brain atrophy to TRIB3 in Alzheimer's disease, evidence from functional prioritization in imaging genetics. Proceedings of the National Academy of Sciences of the United States of America, 115(12):3162-3167, 2018. Keyword(s): genotype, Alzheimer's disease, phenotype, GWA, imaging-genetics, bioinformatics. [bibtex-entry]


  16. Kristin Mcleod, Kristin Tondel, Lilian Calvet, M Sermesant, and Xavier Pennec. Cardiac Motion Evolution Model for Analysis of Functional Changes Using Tensor Decomposition and Cross-Sectional Data. IEEE Transactions on Biomedical Engineering, 65(12):2769 - 2780, March 2018. Keyword(s): Cardiac motion tracking, spatio-temporal alignment, non-rigid image registration, evolution modelling, tensor decomposition, N-way PLS, atlas, population statistics, Tetralogy of Fallot. [bibtex-entry]


  17. Nina Miolane, Susan Holmes, and Xavier Pennec. Topologically constrained template estimation via Morse-Smale complexes controls its statistical consistency. SIAM Journal on Applied Algebra and Geometry, 2(2):348-375, 2018. [bibtex-entry]


  18. Pamela Moceri, Nicolas Duchateau, Delphine Baudouy, Elie-Dan Schouver, Sylvie Leroy, Fabien Squara, Emile Ferrari, and Maxime Sermesant. Three-dimensional right-ventricular regional deformation and survival in pulmonary hypertension. European Heart Journal - Cardiovascular Imaging, 19:450-458, 2018. Keyword(s): three-dimensional echocardiography, speckle-tracking imaging, pulmonary hypertension. [bibtex-entry]


  19. Pamela Moceri, Maxime Sermesant, Delphine Baudouy, Emile Ferrari, and Nicolas Duchateau. Right Ventricular Function Evolution With Pregnancy in Repaired Tetralogy of Fallot. Canadian Journal of Cardiology, 34(10):1369.e9 - 1369.e11, October 2018. Keyword(s): Key-words: Tetralogy of Fallot, 3D speckle-tracking imaging, Right Ventricular Function, Echocardiography, Pregnancy. [bibtex-entry]


  20. Christophe Nioche, Fanny Orlhac, Sarah Boughdad, Sylvain Reuzé, Jessica Goya-Outi, Charlotte Robert, Claire Pellot-Barakat, Michael Soussan, Frédérique Frouin, and Irene Buvat. LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity. Cancer Research, 78(16):4786 - 4789, August 2018. [bibtex-entry]


  21. Fanny Orlhac, Frédérique Frouin, Christophe Nioche, Nicholas Ayache, and Irene Buvat. Validation of a method to compensate multicenter effects affecting CT radiomic features. Radiology, 2018. [bibtex-entry]


  22. F Orlhac, P.-A Mattei, C. Bouveyron, and N Ayache. Class-specific Variable Selection in High-Dimensional Discriminant Analysis through Bayesian Sparsity. Journal of Chemometrics, pp e3097, November 2018. [bibtex-entry]


  23. Xavier Pennec. Barycentric Subspace Analysis on Manifolds. Annals of Statistics, 46(6A):2711-2746, July 2018. Keyword(s): Pricipal Component Analysis, Frechet mean, Barycenter, Manifold, Flag of subspaces, Subspaces. [bibtex-entry]


  24. Marc-Michel Rohé, Maxime Sermesant, and Xavier Pennec. Low-Dimensional Representation of Cardiac Motion Using Barycentric Subspaces: a New Group-Wise Paradigm for Estimation, Analysis, and Reconstruction. Medical Image Analysis, 45:1-12, April 2018. Keyword(s): Registration, Image synthesis, Low-dimensional analysis, Cardiac motion. [bibtex-entry]


  25. Sergio Sanchez-Martinez, Nicolas Duchateau, Tamas Erdei, Gabor Kunszt, Svend Aakhus, Anna Degiovanni, Paolo Marino, Erberto Carluccio, Gemma Piella, Alan Fraser, and Bart Bijnens. Machine learning analysis of left ventricular function to characterize heart failure with preserved ejection fraction. Circulation: Cardiovascular Imaging, 11(4), April 2018. Keyword(s): Excercise echocardiography, Heart failure with preservec ejection fraction, Myocardial velocity, Machine learning, Non-invasive diagnostic heart failure. [bibtex-entry]


  26. Marzia A Scelzi, Raiyan R Khan, Marco Lorenzi, Christopher Leigh, Michael D Greicius, Jonathan M. Schott, Sébastien Ourselin, and Andre Altmann. Genetic study of multimodal imaging Alzheimer's disease progression score implicates novel loci. Brain - A Journal of Neurology, 141(7):2167 - 2180, July 2018. [bibtex-entry]


  27. Avan A Suinesiaputra, Pierre A Ablin, Xènia A Albà, Martino Alessandrini, Jack A Allen, Wenjia Bai, Serkan Cimen, Peter Claes, Brett R Cowan, Jan D'Hooge, Nicolas Duchateau, Jan Ehrhardt, Alejandro F. Frangi, Ali A Gooya, Vicente Grau, Karim Lekadir, Allen A Lu, Anirban A Mukhopadhyay, Ilkay Oksuz, Nripesh Parajuli, Xavier Pennec, Marco Pereañez, Catarina Pinto, Paolo Piras, Marc-Michel Rohé, Daniel R Rueckert, Dennis Säring, Maxime Sermesant, Kaleem Siddiqi, Mahdi Tabassian, Luciano Teresi, Sotirios A Tsaftaris, Matthias Wilms, Alistair A Young, Xingyu Zhang, and Pau Medrano-Gracia. Statistical shape modeling of the left ventricle: myocardial infarct classification challenge. IEEE Journal of Biomedical and Health Informatics, 22(3):503-515, March 2018. Keyword(s): Cardiac modeling, myocardial infarct, statistical shape analysis, classification. [bibtex-entry]


  28. Qiao Zheng, Hervé Delingette, Nicolas Duchateau, and Nicholas Ayache. 3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation. IEEE Transactions on Medical Imaging, 37:2137-2148, April 2018. Keyword(s): deep learning, neural network, 3D consistency, Cardiac segmentation, spatial propagation. [bibtex-entry]


  29. Yitian Zhou, Sophie Giffard-Roisin, Mathieu De Craene, Sorina Camarasu-Pop, Jan D'Hooge, Martino Alessandrini, Denis Friboulet, Maxime Sermesant, and Olivier Bernard. A Framework for the Generation of Realistic Synthetic Cardiac Ultrasound and Magnetic Resonance Imaging Sequences from the same Virtual Patients. IEEE Transactions on Medical Imaging, 37(3):741-754, 2018. Keyword(s): synthetic sequences, cardiac strain, numerical simulation, motion estimation, Multimodal cardiac imaging, electromechanical model. [bibtex-entry]


  30. Nicholas Ayache. L'imagerie médicale à l'heure de l'intelligence artificielle. In Cédric Villani and Bernard Nordlinger, editors, Santé et intelligence artificielle, pages 151-154. CNRS Editions, October 2018. [bibtex-entry]


  31. Charles Bouveyron. Apprentissage statistique en grande dimension et application au diagnostic oncologique par radiomique. In Cédric Villani and Bernard Nordlinger, editors, Santé et intelligence artificielle, pages 179-189. CNRS Editions, October 2018. [bibtex-entry]


Conference articles

  1. Clement Abi Nader, Nicholas Ayache, Philippe Robert, and Marco Lorenzi. Alzheimer's Disease Modelling and Staging through Independent Gaussian Process Analysis of Spatio-Temporal Brain Changes. In Machine Learning in Clinical Neuroimaging (MLCN) workshop, Granada, Spain, September 2018. Keyword(s): Alzheimer's Disease, Disease Progression Modelling, Gaussian Process. [bibtex-entry]


  2. Luigi Antelmi, Nicholas Ayache, Philippe Robert, and Marco Lorenzi. Multi-Channel Stochastic Variational Inference for the Joint Analysis of Heterogeneous Biomedical Data in Alzheimer's Disease. In Understanding and Interpreting Machine Learning in Medical Image Computing Applications, Granada, Spain, September 2018. [bibtex-entry]


  3. Bidisha Chakraborty, Sophie Giffard-Roisin, Martino Alessandrini, Brecht Heyde, M Sermesant, and Jan D'Hooge. Estimation of the Spatial Resolution of a 2D Strain Estimator Using Synthetic Cardiac Images. In IUS 2018 - IEEE International Ultrasonics Symposium, Kobe, Japan, pages 1-9, October 2018. IEEE. [bibtex-entry]


  4. Shuman Jia, Antoine Despinasse, Zihao Wang, Hervé Delingette, Xavier Pennec, Pierre Jaïs, Hubert Cochet, and Maxime Sermesant. Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss. In STACOM: Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, volume 11395 of LNCS, Granada, Spain, pages 221-229, September 2018. Keyword(s): ensemble prediction, left atrium, loss function, contour loss, 3D U-Net, segmentation, deep learning, distance map. [bibtex-entry]


  5. Shuman Jia, Nicolas Duchateau, Pamela Moceri, Maxime Sermesant, and Xavier Pennec. Parallel Transport of Surface Deformations from Pole Ladder to Symmetrical Extension. In Shape in Medical Imaging. ShapeMI 2018., volume 11167 of LNCS, Granada, Spain, pages 116-124, September 2018. Springer. [bibtex-entry]


  6. Julian Krebs, Tommaso Mansi, Boris Mailhé, Nicholas Ayache, and Hervé Delingette. Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic Registration. In Deep Learning in Medical Image Analysis (MICCAI workshop), Granada, Spain, September 2018. Keyword(s): Medical imaging analysis, Deep learning, Image registration. [bibtex-entry]


  7. Marco Lorenzi and Maurizio Filippone. Constraining the Dynamics of Deep Probabilistic Models. In ICML 2018 - The 35th International Conference on Machine Learning, volume 80 of PMLR - Proceedings of Machine Learning Research, Stockholm, Sweden, pages 3233-3242, July 2018. Note: 13 pages. Keyword(s): machine learning, dynamical systems, gradient matching, gaussian process. [bibtex-entry]


  8. Pamela Moceri, Nicolas Duchateau, D Baudouy, C Sanfiorenzo, F Squara, E. Ferrari, and M Sermesant. Incremental prognostic value of changes in 3D right ventricular function in pulmonary hypertension. In ESC congress, Munich, Germany, 2018. [bibtex-entry]


  9. Pamela Moceri, Nicolas Duchateau, Delphine Baudouy, Fabien Squara, Emile Ferrari, and M Sermesant. Volume overload impact on 3D right ventricular shape and strain: comparative analysis of tetralogy of Fallot and atrial septal defect patients. In ESC congress, Munich, Germany, 2018. [bibtex-entry]


  10. Pamela Moceri, Nicolas Duchateau, N Dursent, Xavier Iriart, Sébastien Hascoet, Delphine Baudouy, Emile Ferrari, and M Sermesant. Right ventricular remodelling in CHD-PAH patients using 3D speckle tracking. In EuroEcho 2018 - 22nd Annual Congressof the European Association of Cardiovascular Imaging, Milan, Italy, December 2018. [bibtex-entry]


  11. Pamela Moceri, Nicolas Duchateau, Benjamin Sartre, M Sermesant, and Emile Ferrari. Right ventricular function in acute pulmonary embolism: a three-dimensional strain study. In Euroecho, Milan, Italy, 2018. [bibtex-entry]


  12. Fanny Orlhac, Charles Bouveyron, Thierry Pourcher, Lun Jing, Jean-Marie Guigonis, Jacques Darcourt, Nicholas Ayache, and Olivier Humbert. Identification des cancers mammaires triple-négatifs : analyse statistique de variables radiomiques issues des images TEP et de variables métabolomiques. In 2018 - 4èmes Journées Francophones de Médecine Nucléaire, volume 42 of Médecine Nucléaire, Lille, France, pages 169, May 2018. Keyword(s): Analyse de texture, Cancer du sein, Hétérogénéité tumorale, Traitement des images, Triple-négatif. [bibtex-entry]


  13. Fanny Orlhac, Olivier Humbert, Sarah Boughdad, Maud Lasserre, Michael Soussan, Christophe Nioche, Nicholas Ayache, Jacques Darcourt, Frédérique Frouin, and Irène Buvat. Validation d'une méthode d'harmonisation des mesures SUV et des variables radiomiques pour les études TEP multicentriques rétrospectives. In 2018 - 4èmes Journées Francophones de Médecine Nucléaire, volume 42, Lille, France, pages 170, May 2018. Keyword(s): Hétérogénéité tumorale, Etude multicentrique, Normalisation, Analyse de texture, Quantification. [bibtex-entry]


  14. Fanny Orlhac, Olivier Humbert, Sarah Boughdad, Maud Lasserre, Michael Soussan, Christophe Nioche, Nicholas Ayache, Jacques Darcourt, Frédérique Frouin, and Irène Buvat. Validation of a harmonization method to correct for SUV and radiomic features variability in multi-center studies. In SNMMI Annual Meeting, volume 59, Philadelphia, United States, pages 288, June 2018. [bibtex-entry]


  15. Fanny Orlhac, Olivier Humbert, Thierry Pourcher, Lun Jing, Jean-Marie Guigonis, Jacques Darcourt, Nicholas Ayache, and Charles Bouveyron. Analyse statistique de données radiomiques et métabolomiques : prédiction des lésions mammaires triple-négatives. In 12ème Conférence Francophone d'Epidémiologie Clinique (EPICLIN) et 25èmes Journées des statisticiens des Centre de Lutte Contre le Cancer (CLCC), volume 66 of Revue d'épidémiologie et de santé publique, Nice, France, pages S180-S181, May 2018. Keyword(s): Analyse statistique, Analyse discriminante, Sélection de variables, Radiomique, Métabolomique. [bibtex-entry]


  16. Fanny Orlhac, Olivier Humbert, Thierry Pourcher, Lun Jing, Jean-Marie Guigonis, Jacques Darcourt, Nicholas Ayache, and Charles Bouveyron. Statistical analysis of PET radiomic features and metabolomic data: prediction of triple-negative breast cancer. In SNMMI Annual Meeting, volume 59, Philadelphia, United States, pages 1755, June 2018. Journal of Nuclear Medicine. [bibtex-entry]


  17. Silva Rincon Santiago Smith, Boris A Gutman, Eduardo Romero, Paul M. Thompson, Andre Altmann, and Marco Lorenzi. Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data. In International Symposium on Biomedical Imaging, Venice, Italy, April 2018. [bibtex-entry]


  18. Amandine Schmutz, Julien Jacques, Charles Bouveyron, Laurence Cheze, and Pauline Martin. Données fonctionnelles multivariées issues d'objets connectés : une méthode pour classer les individus. In Journées des Statistiques, Saclay, France, May 2018. Keyword(s): Learning and classification, Data analysis, Big data, Computational statistics, Functional data, Statistique computationnelle, données massives, Apprentissage et classification, Analyse des données, fouille de données, Grande dimension, Données fonctionnelles. [bibtex-entry]


  19. Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman, Nicholas Ayache, Bruno Stankoff, and Olivier Colliot. Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training. In MICCAI 2018 -- 21st International Conference On Medical Image Computing & Computer Assisted Intervention, volume 11072, Granada, Spain, September 2018. [bibtex-entry]


  20. Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman, Olivier Colliot, Bruno Stankoff, and Nicholas Ayache. FLAIR MR Image Synthesis By Using 3D Fully Convolutional Networks for Multiple Sclerosis. In ISMRM-ESMRMB 2018 - Joint Annual Meeting, Paris, France, pages 1-6, June 2018. [bibtex-entry]


Internal reports

  1. Santiago Silva, Boris Gutman, Eduardo Romero, Paul M. Thompson, Andre Altmann, and Marco Lorenzi. Federated learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data (Supplementary Material). Research Report, Inria & Université Cote d'Azur, CNRS, I3S, Sophia Antipolis, France, October 2018. [bibtex-entry]


Miscellaneous

  1. Clement Abi Nader, Nicholas Ayache, Valeria Manera, Philippe Robert, and Marco Lorenzi. Disentangling spatio-temporal patterns of brain changes in large-scale brain imaging databases through Independent Gaussian Process Analysis. 12ème Conférence Francophone d'Epidémiologie Clinique (EPICLIN) et 25èmes Journées des statisticiens des Centre de Lutte Contre le Cancer (CLCC), May 2018. Note: Poster. Keyword(s): Statistical Learning, Gaussian Process. [bibtex-entry]


  2. Luigi Antelmi, Nicholas Ayache, Philippe Robert, and Marco Lorenzi. Supplementary Material of the paper: ''Multi-Channel Stochastic Variational Inference for the Joint Analysis of Heterogeneous Biomedical Data in Alzheimer's Disease'', July 2018. Note: Supplementary Material of the paper: ''Multi-Channel Stochastic Variational Inference for the Joint Analysis of Heterogeneous Biomedical Data in Alzheimer's Disease''. Paper accepted at the 1st International Workshop on Machine Learning in Clinical Neuroimaging, in conjunction with MICCAI 2018, September 20, Granada (Spain). [bibtex-entry]


  3. Luigi Antelmi, Marco Lorenzi, Valeria Manera, Philippe Robert, and Nicholas Ayache. A method for statistical learning in large databases of heterogeneous imaging, cognitive and behavioral data.. EPICLIN 2018 - 12ème Conférence Francophone d'Epidémiologie Clinique / CLCC 2018 - 25èmes Journées des statisticiens des Centre de Lutte Contre le Cancer, May 2018. Note: Poster. Keyword(s): CCA, Statistical learning. [bibtex-entry]


  4. Marco Lorenzi and Hélène Barelli. Blood Levels of Omega 3 and 6 across the Progression of Alzheimer's Disease. Alzheimer's Association International Conference (AAIC), 2018. Note: Poster. [bibtex-entry]


  5. Clement Abi Nader, Nicholas Ayache, Philippe Robert, and Marco Lorenzi. Appendix Alzheimer's Disease Modelling and Staging through Independent Gaussian Process Analysis of Spatio-Temporal Brain Changes, July 2018. Note: Appendix. [bibtex-entry]


  6. Claire Cury, Stanley Durrleman, David M. Cash, Marco Lorenzi, Jennifer M Nicholas, Martina Bocchetta, John C. Van Swieten, Barbara Borroni, Daniela Galimberti, Mario Masellis, Maria Carmela Tartaglia, James Rowe, Caroline Graff, Fabrizio Tagliavini, Giovanni B. Frisoni, Robert Laforce, Elizabeth Finger, Alexandre de Mendonça, Sandro Sorbi, Sébastien Ourselin, Jonathan D Rohrer, and Marc M Modat. Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: applied to GENFI study. Note: Working paper or preprint, August 2018. Keyword(s): Morphometry, Spatio temporal analysis, LDDMM, Shape Analysis, Genfi, Thalamus, Frontotemporal Dementia. [bibtex-entry]


  7. Xavier Pennec. Parallel Transport with Pole Ladder: a Third Order Scheme in Affine Connection Spaces which is Exact in Affine Symmetric Spaces. Note: Working paper or preprint, May 2018. Keyword(s): affine connection space, pole ladder, symmetric space, parallel transport, numerical approximation. [bibtex-entry]


  8. Qiao Zheng, Hervé Delingette, Nicolas Duchateau, and Nicholas Ayache. 3D Consistent Biventricular Myocardial Segmentation Using Deep Learning for Mesh Generation. Note: Working paper or preprint, March 2018. Keyword(s): propagation, convolutional neu- ral network, spatial consistency, myocardial segmentation, deep learning. [bibtex-entry]



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