-
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.
@article{alessandrini:hal-02059841,
TITLE = {{Realistic Vendor-Specific Synthetic Ultrasound Data for Quality Assurance of 2-D Speckle Tracking Echocardiography: Simulation Pipeline and Open Access Database}},
AUTHOR = {Alessandrini, Martino and Chakraborty, Bidisha and Heyde, Brecht and Bernard, Olivier and de Craene, Mathieu and Sermesant, Maxime and d'Hooge, Jan},
url-hal= {https://hal.science/hal-02059841},
JOURNAL = {{IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control}},
PUBLISHER = {{Institute of Electrical and Electronics Engineers}},
VOLUME = {65},
NUMBER = {3},
PAGES = {411-422},
YEAR = {2018},
MONTH = Mar,
DOI = {10.1109/TUFFC.2017.2786300},
HAL_ID = {hal-02059841},
HAL_VERSION = {v1},
}
-
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,
Clinical neurophysiology,
Diagnostic technique,
Cerebral blood flow,
Neurovascular coupling.
@article{almairac:hal-01984498,
TITLE = {{Motor cortex neurovascular coupling: inputs from ultra--high-frequency ultrasound imaging in humans}},
AUTHOR = {Almairac, Fabien and Fontaine, Denys and Demarcy, Thomas and Delingette, Herv{\'e} and Beuil, Stephanie and Raffaelli, Charles},
url-hal= {https://inria.hal.science/hal-01984498},
JOURNAL = {{Journal of Neurosurgery}},
PUBLISHER = {{American Association of Neurological Surgeons}},
PAGES = {1-7},
YEAR = {2018},
MONTH = Nov,
DOI = {10.3171/2018.5.jns18754},
KEYWORDS = {Motor cortex ; Ultrasound ; Imaging methodology ; Clinical neurophysiology ; Diagnostic technique ; Cerebral blood flow ; Neurovascular coupling},
HAL_ID = {hal-01984498},
HAL_VERSION = {v1},
}
-
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): screening,
lung cancer,
artificial intelligence.
@article{benzaquen:hal-02045478,
TITLE = {{Lung Cancer Screening, Towards a Multidimensional Approach: Why and How?}},
AUTHOR = {Benzaquen, Jonathan and Boutros, Jacques and Marquette, Charles and Delingette, Herv{\'e} and Hofman, Paul},
url-hal= {https://inria.hal.science/hal-02045478},
JOURNAL = {{Cancers}},
PUBLISHER = {{MDPI}},
VOLUME = {10},
YEAR = {2018},
KEYWORDS = {screening ; lung cancer ; artificial intelligence},
PDF = {https://inria.hal.science/hal-02045478/file/Benzaquen%20et%20al.pdf},
HAL_ID = {hal-02045478},
HAL_VERSION = {v1},
}
-
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): MRI,
Lleft and right ventricles,
Cardiac segmentation and diagnosis,
Myocardium,
Deep learning.
@article{bernard:hal-01803621,
TITLE = {{Deep Learning Techniques for Automatic MRI Cardiac Multi-structures Segmentation and Diagnosis: Is the Problem Solved?}},
AUTHOR = {Bernard, Olivier and Lalande, Alain and Zotti, Clement and Cervenansky, Frederic and Yang, Xin and Heng, Pheng-Ann and Cetin, Irem and Lekadir, Karim and Camara, Oscar and Ballester, Miguel Angel Gonzalez and Sanroma, Gerard and Napel, Sandy and Petersen, Steffen and Tziritas, Georgios and Grinias, Elias and Khened, Mahendra and Kollerathu, Varghese Alex and Krishnamurthi, Ganapathy and Roh{\'e}, Marc-Michel and Pennec, Xavier and Sermesant, Maxime and Isensee, Fabian and Jager, Paul and Maier-Hein, Klaus H and Full, Peter M. and Wolf, Ivo and Engelhardt, Sandy and Baumgartner, Chrisitan and Koch, Lisa and Wolterink, Jelmer and Isgum, Ivana and Jang, Yeonggul and Hong, Yoonmi and Patravali, Jay and Jain, Shubham and Humbert, Olivier and Jodoin, Pierre-Marc},
url-hal= {https://hal.science/hal-01803621},
JOURNAL = {{IEEE Transactions on Medical Imaging}},
PUBLISHER = {{Institute of Electrical and Electronics Engineers}},
VOLUME = {37},
NUMBER = {11},
PAGES = {2514-2525},
YEAR = {2018},
MONTH = May,
DOI = {10.1109/TMI.2018.2837502},
KEYWORDS = {MRI ; Lleft and right ventricles ; Cardiac segmentation and diagnosis ; Myocardium ; Deep learning},
HAL_ID = {hal-01803621},
HAL_VERSION = {v1},
}
-
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): intracardiac electrogram modelling,
cardiac elec-,
Index Terms-radio-frequency ablation planning,
trophysiology modelling,
electroanatomical mapping.
@article{cabreralozoya:hal-01744142,
TITLE = {{Model-based Feature Augmentation for Cardiac Ablation Target Learning from Images}},
AUTHOR = {Cabrera Lozoya, Rocio and Berte, Benjamin and Cochet, Hubert and Ja{\"i}s, Pierre and Ayache, Nicholas and Sermesant, Maxime},
url-hal= {https://inria.hal.science/hal-01744142},
JOURNAL = {{IEEE Transactions on Biomedical Engineering}},
PUBLISHER = {{Institute of Electrical and Electronics Engineers}},
PAGES = {1},
YEAR = {2018},
MONTH = Mar,
DOI = {10.1109/TBME.2018.2818300},
KEYWORDS = {intracardiac electrogram modelling ; cardiac elec- ; Index Terms-radio-frequency ablation planning ; trophysiology modelling ; electroanatomical mapping},
PDF = {https://inria.hal.science/hal-01744142/file/TBME2818300.pdf},
HAL_ID = {hal-01744142},
HAL_VERSION = {v1},
}
-
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): Computed Tomography,
Computational Modelling,
Catheter Ablation,
Myocardial Infarction,
Sudden Cardiac Death,
Electrophysiology.
@article{cedilnik:hal-01875533,
TITLE = {{Fast Personalized Electrophysiological Models from CT Images for Ventricular Tachycardia Ablation Planning}},
AUTHOR = {Cedilnik, Nicolas and Duchateau, Josselin and Dubois, R{\'e}mi and Sacher, Fr{\'e}d{\'e}ric and Ja{\"i}s, Pierre and Cochet, Hubert and Sermesant, Maxime},
url-hal= {https://inria.hal.science/hal-01875533},
JOURNAL = {{EP-Europace}},
PUBLISHER = {{Oxford University Press (OUP)}},
VOLUME = {20},
YEAR = {2018},
MONTH = Nov,
KEYWORDS = {Computed Tomography ; Computational Modelling ; Catheter Ablation ; Myocardial Infarction ; Sudden Cardiac Death ; Electrophysiology},
PDF = {https://inria.hal.science/hal-01875533v3/file/europace2018.pdf},
HAL_ID = {hal-01875533},
HAL_VERSION = {v3},
}
-
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): Dynamic random graph,
model based clustering,
non homogeneous Poisson process,
stochastic block model,
topic modeling,
latent Dirichlet allocation.
@article{corneli:hal-01621757,
TITLE = {{The dynamic stochastic topic block model for dynamic networks with textual edges}},
AUTHOR = {Corneli, Marco and Bouveyron, Charles and Latouche, Pierre and Rossi, Fabrice},
url-hal= {https://hal.science/hal-01621757},
JOURNAL = {{Statistics and Computing}},
PUBLISHER = {{Springer Verlag (Germany)}},
YEAR = {2018},
DOI = {10.1007/s11222-018-9832-4},
KEYWORDS = {Dynamic random graph ; model based clustering ; non homogeneous Poisson process ; stochastic block model ; topic modeling ; latent Dirichlet allocation},
PDF = {https://hal.science/hal-01621757/file/Dstbm_paper.pdf},
HAL_ID = {hal-01621757},
HAL_VERSION = {v1},
}
-
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): validation,
magnetic resonance.,
biomechanical modeling,
Image synthesis and simulation,
myocardial infarct,
large database for machine learning.
@article{duchateau:hal-01533788,
TITLE = {{Model-based generation of large databases of cardiac images: synthesis of pathological cine MR sequences from real healthy cases}},
AUTHOR = {Duchateau, Nicolas and Sermesant, Maxime and Delingette, Herv{\'e} and Ayache, Nicholas},
url-hal= {https://inria.hal.science/hal-01533788},
JOURNAL = {{IEEE Transactions on Medical Imaging}},
PUBLISHER = {{Institute of Electrical and Electronics Engineers}},
VOLUME = {37},
PAGES = {755-766},
YEAR = {2018},
DOI = {10.1109/TMI.2017.2714343},
KEYWORDS = {validation ; magnetic resonance. ; biomechanical modeling ; Image synthesis and simulation ; myocardial infarct ; large database for machine learning},
PDF = {https://inria.hal.science/hal-01533788/file/jDuchateau_TMI_2017_FINAL.pdf},
HAL_ID = {hal-01533788},
HAL_VERSION = {v1},
}
-
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): Bézier elements ACM Reference Format:,
Mesh generation,
Bézier elements,
Additional Key Words and Phrases: Higher-order meshing,
Optimal Delau-nay Triangulations,
CCS Concepts: $\bullet$ Mathematics of computing $\rightarrow$ Mesh generation,
higher order finite elements,
Optimal Delaunay Triangulations,
Higher-order meshing.
@article{feng:hal-01826055,
TITLE = {{Curved Optimal Delaunay Triangulation}},
AUTHOR = {Feng, Leman and Alliez, Pierre and Bus{\'e}, Laurent and Delingette, Herv{\'e} and Desbrun, Mathieu},
url-hal= {https://inria.hal.science/hal-01826055},
JOURNAL = {{ACM Transactions on Graphics}},
PUBLISHER = {{Association for Computing Machinery}},
SERIES = {Proceedings of SIGGRAPH 2018},
VOLUME = {37},
NUMBER = {4},
PAGES = {16},
YEAR = {2018},
MONTH = Aug,
DOI = {10.1145/3197517.3201358},
KEYWORDS = {B{\'e}zier elements ACM Reference Format: ; Mesh generation ; B{\'e}zier elements ; Additional Key Words and Phrases: Higher-order meshing ; Optimal Delau-nay Triangulations ; CCS Concepts: $\bullet$ Mathematics of computing $\rightarrow$ Mesh generation ; higher order finite elements ; Optimal Delaunay Triangulations ; Higher-order meshing},
PDF = {https://inria.hal.science/hal-01826055/file/CODT-preprint-final.pdf},
HAL_ID = {hal-01826055},
HAL_VERSION = {v1},
}
-
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.
@article{ferraris:hal-01843151,
TITLE = {{A magnetic resonance multi-atlas for the neonatal rabbit brain}},
AUTHOR = {Ferraris, Sebastiano and van Der Merwe, Johannes and van Der Veeken, Lennart and Prados, Ferran and Iglesias, Juan Eugenio and Lorenzi, Marco and Melbourne, Andrew and Modat, Marc M and Gsell, Willy and Deprest, Jan and Vercauteren, Tom},
url-hal= {https://inria.hal.science/hal-01843151},
JOURNAL = {{NeuroImage}},
PUBLISHER = {{Elsevier}},
VOLUME = {179},
PAGES = {187 - 198},
YEAR = {2018},
MONTH = Oct,
DOI = {10.1016/j.neuroimage.2018.06.029},
PDF = {https://inria.hal.science/hal-01843151/file/hal-01843151.pdf},
HAL_ID = {hal-01843151},
HAL_VERSION = {v1},
}
-
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): Cardiac Electrophysiology,
Inverse Problem of ECG,
Personalisation,
ECG Imaging,
Index Terms-Cardiac Electrophysiology,
In- verse Problem of ECG.
@article{giffardroisin:hal-01796483,
TITLE = {{Transfer Learning from Simulations on a Reference Anatomy for ECGI in Personalised Cardiac Resynchronization Therapy}},
AUTHOR = {Giffard-Roisin, Sophie and Delingette, Herv{\'e} and Jackson, Thomas and Webb, Jessica and Fovargue, Lauren and Lee, Jack and Rinaldi, Christopher A and Razavi, Reza and Ayache, Nicholas and Sermesant, Maxime},
url-hal= {https://hal.science/hal-01796483},
JOURNAL = {{IEEE Transactions on Biomedical Engineering}},
PUBLISHER = {{Institute of Electrical and Electronics Engineers}},
VOLUME = {20},
YEAR = {2018},
DOI = {10.1109/TBME.2018.2839713},
KEYWORDS = {Cardiac Electrophysiology ; Inverse Problem of ECG ; Personalisation ; ECG Imaging ; Index Terms-Cardiac Electrophysiology ; In- verse Problem of ECG},
PDF = {https://hal.science/hal-01796483v2/file/FINAL_VERSION_CORR.pdf},
HAL_ID = {hal-01796483},
HAL_VERSION = {v2},
}
-
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): Neural circuits,
Structural connectivity,
Diffeomorphisms,
Multi-object,
Atlas,
Shape,
Morphometry,
Complex,
Tourette.
@article{gori:hal-01709847,
TITLE = {{Double diffeomorphism: combining morphometry and structural connectivity analysis}},
AUTHOR = {Gori, Pietro and Colliot, Olivier and Kacem, Linda Marrakchi and Worbe, Yulia and Routier, Alexandre and Poupon, Cyril and Hartmann, Andreas and Ayache, Nicholas and Durrleman, Stanley},
url-hal= {https://hal.science/hal-01709847},
JOURNAL = {{IEEE Transactions on Medical Imaging}},
PUBLISHER = {{Institute of Electrical and Electronics Engineers}},
VOLUME = {37},
NUMBER = {9},
PAGES = {2033-2043},
YEAR = {2018},
MONTH = Sep,
DOI = {10.1109/TMI.2018.2813062},
KEYWORDS = {Neural circuits ; Structural connectivity ; Diffeomorphisms ; Multi-object ; Atlas ; Shape ; Morphometry ; Complex ; Tourette},
PDF = {https://hal.science/hal-01709847v2/file/Double_Diffeo_paper_Review2_Clean%20modified.pdf},
HAL_ID = {hal-01709847},
HAL_VERSION = {v2},
}
-
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): Myocardium,
Left atrial wall thickness,
Left atrium,
Atrial fibrillation.
@article{karim:hal-01926935,
TITLE = {{Algorithms for left atrial wall segmentation and thickness -- Evaluation on an open-source CT and MRI image database}},
AUTHOR = {Karim, Rashed and Blake, Lauren-Emma and Inoue, Jiro and Tao, Qian and Jia, Shuman and Housden, R. James James and Bhagirath, Pranav and Duval, Jean-Luc and Varela, Marta and Behar, Jonathan and Cadour, Lo{\"i}c and van Der Geest, Rob J and Cochet, Hubert and Drangova, Maria and Sermesant, Maxime and Razavi, Reza and Aslanidi, Oleg and Rajani, Ronak and Rhode, Kawal S.},
url-hal= {https://inria.hal.science/hal-01926935},
JOURNAL = {{Medical Image Analysis}},
PUBLISHER = {{Elsevier}},
VOLUME = {50},
PAGES = {36 - 53},
YEAR = {2018},
MONTH = Dec,
DOI = {10.1016/j.media.2018.08.004},
KEYWORDS = {Myocardium ; Left atrial wall thickness ; Left atrium ; Atrial fibrillation},
PDF = {https://inria.hal.science/hal-01926935/file/1-s2.0-S1361841518306431-main.pdf},
HAL_ID = {hal-01926935},
HAL_VERSION = {v1},
}
-
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): bioinformatics,
phenotype,
imaging-genetics,
Alzheimer's disease,
genotype,
GWA.
@article{lorenzi:hal-01756811,
TITLE = {{Susceptibility of brain atrophy to TRIB3 in Alzheimer's disease, evidence from functional prioritization in imaging genetics}},
AUTHOR = {Lorenzi, Marco and Altmann, Andre and Gutman, Boris and Wray, Selina and Arber, Charles and Hibar, Derrek D and Jahanshad, Neda J and Schott, Jonathan and Alexander, Daniel and Thompson, Paul M. and Ourselin, S{\'e}bastien},
url-hal= {https://hal.science/hal-01756811},
JOURNAL = {{Proceedings of the National Academy of Sciences of the United States of America}},
PUBLISHER = {{National Academy of Sciences}},
VOLUME = {115},
NUMBER = {12},
PAGES = {3162-3167},
YEAR = {2018},
DOI = {10.1073/pnas.1706100115},
KEYWORDS = {bioinformatics ; phenotype ; imaging-genetics ; Alzheimer's disease ; genotype ; GWA},
PDF = {https://hal.science/hal-01756811/file/Brain_genes-UCL_USC-review_V3.pdf},
HAL_ID = {hal-01756811},
HAL_VERSION = {v1},
}
-
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,
December 2018.
Keyword(s): tensor decomposition,
evolution modelling,
Cardiac motion tracking,
non-rigid image registration,
spatio-temporal alignment,
N-way PLS,
atlas,
population statistics,
Tetralogy of Fallot.
@article{mcleod:hal-01736454,
TITLE = {{Cardiac Motion Evolution Model for Analysis of Functional Changes Using Tensor Decomposition and Cross-Sectional Data}},
AUTHOR = {Mcleod, Kristin and T{{\o}}ndel, Kristin and Calvet, Lilian and Sermesant, M and Pennec, Xavier},
url-hal= {https://inria.hal.science/hal-01736454},
JOURNAL = {{IEEE Transactions on Biomedical Engineering}},
PUBLISHER = {{Institute of Electrical and Electronics Engineers}},
VOLUME = {65},
NUMBER = {12},
PAGES = {2769 - 2780},
YEAR = {2018},
MONTH = Dec,
DOI = {10.1109/TBME.2018.2816519},
KEYWORDS = {tensor decomposition ; evolution modelling ; Cardiac motion tracking ; non-rigid image registration ; spatio-temporal alignment ; N-way PLS ; atlas ; population statistics ; Tetralogy of Fallot},
PDF = {https://inria.hal.science/hal-01736454/file/TBME2816519.pdf},
HAL_ID = {hal-01736454},
HAL_VERSION = {v1},
}
-
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.
@article{miolane:hal-01655366,
TITLE = {{Topologically constrained template estimation via Morse-Smale complexes controls its statistical consistency}},
AUTHOR = {Miolane, Nina and Holmes, Susan and Pennec, Xavier},
url-hal= {https://inria.hal.science/hal-01655366},
JOURNAL = {{SIAM Journal on Applied Algebra and Geometry}},
PUBLISHER = {{Society for Industrial and Applied Mathematics }},
VOLUME = {2},
NUMBER = {2},
PAGES = {348-375},
YEAR = {2018},
DOI = {10.1137/17M1129222},
PDF = {https://inria.hal.science/hal-01655366/file/siaga_article.pdf},
HAL_ID = {hal-01655366},
HAL_VERSION = {v1},
}
-
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): pulmonary hypertension,
speckle-tracking imaging,
three-dimensional echocardiography.
@article{moceri:hal-01533793,
TITLE = {{Three-dimensional right-ventricular regional deformation and survival in pulmonary hypertension}},
AUTHOR = {Moceri, Pamela and Duchateau, Nicolas and Baudouy, Delphine and Schouver, Elie-Dan and Leroy, Sylvie and Squara, Fabien and Ferrari, Emile and Sermesant, Maxime},
url-hal= {https://inria.hal.science/hal-01533793},
JOURNAL = {{European Heart Journal - Cardiovascular Imaging}},
PUBLISHER = {{Oxford UP}},
VOLUME = {19},
PAGES = {450-458},
YEAR = {2018},
DOI = {10.1093/ehjci/jex163},
KEYWORDS = {pulmonary hypertension ; speckle-tracking imaging ; three-dimensional echocardiography},
PDF = {https://inria.hal.science/hal-01533793/file/jMoceri_EHJCI_2017_FINAL.pdf},
HAL_ID = {hal-01533793},
HAL_VERSION = {v1},
}
-
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): Pregnancy,
Echocardiography,
Right Ventricular Function,
3D speckle-tracking imaging,
Key-words: Tetralogy of Fallot.
@article{moceri:hal-01926967,
TITLE = {{Right Ventricular Function Evolution With Pregnancy in Repaired Tetralogy of Fallot}},
AUTHOR = {Moceri, Pamela and Sermesant, Maxime and Baudouy, Delphine and Ferrari, Emile and Duchateau, Nicolas},
url-hal= {https://inria.hal.science/hal-01926967},
JOURNAL = {{Canadian Journal of Cardiology}},
PUBLISHER = {{Elsevier}},
VOLUME = {34},
NUMBER = {10},
PAGES = {1369.e9 - 1369.e11},
YEAR = {2018},
MONTH = Oct,
DOI = {10.1016/j.cjca.2018.06.010},
KEYWORDS = {Pregnancy ; Echocardiography ; Right Ventricular Function ; 3D speckle-tracking imaging ; Key-words: Tetralogy of Fallot},
PDF = {https://inria.hal.science/hal-01926967/file/jMoceri_CJC_2018_FINALok.pdf},
HAL_ID = {hal-01926967},
HAL_VERSION = {v1},
}
-
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.
@article{nioche:hal-01938545,
TITLE = {{LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity}},
AUTHOR = {Nioche, Christophe and Orlhac, Fanny and Boughdad, Sarah and Reuz{\'e}, Sylvain and Goya-Outi, Jessica and Robert, Charlotte and Pellot-Barakat, Claire and Soussan, Michael and Frouin, Fr{\'e}d{\'e}rique and Buvat, Irene},
url-hal= {https://hal.science/hal-01938545},
JOURNAL = {{Cancer Research}},
PUBLISHER = {{American Association for Cancer Research}},
VOLUME = {78},
NUMBER = {16},
PAGES = {4786 - 4789},
YEAR = {2018},
MONTH = Aug,
DOI = {10.1158/0008-5472.CAN-18-0125},
HAL_ID = {hal-01938545},
HAL_VERSION = {v1},
}
-
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.
@article{orlhac:hal-01953538,
TITLE = {{Validation of a method to compensate multicenter effects affecting CT radiomic features}},
AUTHOR = {Orlhac, Fanny and Frouin, Fr{\'e}d{\'e}rique and Nioche, Christophe and Ayache, Nicholas and Buvat, Irene},
url-hal= {https://hal.science/hal-01953538},
JOURNAL = {{Radiology}},
PUBLISHER = {{Radiological Society of North America}},
YEAR = {2018},
PDF = {https://hal.science/hal-01953538/file/Version_HAL.pdf},
HAL_ID = {hal-01953538},
HAL_VERSION = {v1},
}
-
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.
@article{orlhac:hal-01811514,
TITLE = {{Class-specific Variable Selection in High-Dimensional Discriminant Analysis through Bayesian Sparsity}},
AUTHOR = {Orlhac, F and Mattei, P.-A and Bouveyron, C. and Ayache, N},
url-hal= {https://hal.science/hal-01811514},
JOURNAL = {{Journal of Chemometrics}},
PUBLISHER = {{Wiley}},
PAGES = {e3097},
YEAR = {2018},
MONTH = Nov,
DOI = {10.1002/cem.3097},
PDF = {https://hal.science/hal-01811514/file/sparseHDDA_v1.pdf},
HAL_ID = {hal-01811514},
HAL_VERSION = {v1},
}
-
Xavier Pennec.
Barycentric Subspace Analysis on Manifolds.
Annals of Statistics,
46(6A):2711-2746,
July 2018.
Keyword(s): Manifold,
Flag of subspaces,
Frechet mean,
Barycenter,
Subspaces,
Pricipal Component Analysis.
@article{pennec:hal-01343881,
TITLE = {{Barycentric Subspace Analysis on Manifolds}},
AUTHOR = {Pennec, Xavier},
url-hal= {https://hal.science/hal-01343881},
JOURNAL = {{Annals of Statistics}},
PUBLISHER = {{Institute of Mathematical Statistics}},
VOLUME = {46},
NUMBER = {6A},
PAGES = {2711-2746},
YEAR = {2018},
MONTH = Jul,
DOI = {10.1214/17-AOS1636},
KEYWORDS = {Manifold ; Flag of subspaces ; Frechet mean ; Barycenter ; Subspaces ; Pricipal Component Analysis},
PDF = {https://hal.science/hal-01343881v2/file/AOS1636-WithSupplements.pdf},
HAL_ID = {hal-01343881},
HAL_VERSION = {v2},
}
-
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): Cardiac motion,
Low-dimensional analysis,
Registration,
Image synthesis.
@article{rohe:hal-01677685,
TITLE = {{Low-Dimensional Representation of Cardiac Motion Using Barycentric Subspaces: a New Group-Wise Paradigm for Estimation, Analysis, and Reconstruction}},
AUTHOR = {Roh{\'e}, Marc-Michel and Sermesant, Maxime and Pennec, Xavier},
url-hal= {https://inria.hal.science/hal-01677685},
JOURNAL = {{Medical Image Analysis}},
PUBLISHER = {{Elsevier}},
VOLUME = {45},
PAGES = {1-12},
YEAR = {2018},
MONTH = Apr,
DOI = {10.1016/j.media.2017.12.008},
KEYWORDS = {Cardiac motion ; Low-dimensional analysis ; Registration ; Image synthesis},
PDF = {https://inria.hal.science/hal-01677685/file/barycentric_article.pdf},
HAL_ID = {hal-01677685},
HAL_VERSION = {v1},
}
-
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.
@article{sanchezmartinez:hal-02282401,
TITLE = {{Machine learning analysis of left ventricular function to characterize heart failure with preserved ejection fraction}},
AUTHOR = {Sanchez-Martinez, Sergio and Duchateau, Nicolas and Erdei, Tamas and Kunszt, Gabor and Aakhus, Svend and Degiovanni, Anna and Marino, Paolo and Carluccio, Erberto and Piella, Gemma and Fraser, Alan and Bijnens, Bart},
url-hal= {https://hal.science/hal-02282401},
JOURNAL = {{Circulation: Cardiovascular Imaging}},
PUBLISHER = {{American Heart Association}},
VOLUME = {11},
NUMBER = {4},
YEAR = {2018},
MONTH = Apr,
DOI = {10.1161/CIRCIMAGING.117.007138},
KEYWORDS = {Excercise echocardiography ; Heart failure with preservec ejection fraction ; Myocardial velocity ; Machine learning ; Non-invasive diagnostic heart failure},
PDF = {https://hal.science/hal-02282401/file/jsanchez_circim_2018_finalok.pdf},
HAL_ID = {hal-02282401},
HAL_VERSION = {v1},
}
-
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.
@article{scelzi:hal-01843380,
TITLE = {{Genetic study of multimodal imaging Alzheimer's disease progression score implicates novel loci}},
AUTHOR = {Scelzi, Marzia A and Khan, Raiyan R and Lorenzi, Marco and Leigh, Christopher and Greicius, Michael D and Schott, Jonathan M. and Ourselin, S{\'e}bastien and Altmann, Andre},
url-hal= {https://inria.hal.science/hal-01843380},
JOURNAL = {{Brain - A Journal of Neurology }},
PUBLISHER = {{Oxford University Press}},
VOLUME = {141},
NUMBER = {7},
PAGES = {2167 - 2180},
YEAR = {2018},
MONTH = Jul,
DOI = {10.1093/brain/awy141},
PDF = {https://inria.hal.science/hal-01843380/file/awy141.pdf},
HAL_ID = {hal-01843380},
HAL_VERSION = {v1},
}
-
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): statistical shape analysis,
classification,
myocardial infarct,
Cardiac modeling.
@article{suinesiaputra:hal-01533805,
TITLE = {{Statistical shape modeling of the left ventricle: myocardial infarct classification challenge}},
AUTHOR = {Suinesiaputra, Avan A and Ablin, Pierre A and Alb{\`a}, X{\`e}nia A and Alessandrini, Martino and Allen, Jack A and Bai, Wenjia and {\c C}imen, Serkan and Claes, Peter and Cowan, Brett R and d'Hooge, Jan and Duchateau, Nicolas and Ehrhardt, Jan and Frangi, Alejandro F. and Gooya, Ali A and Grau, Vicente and Lekadir, Karim and Lu, Allen A and Mukhopadhyay, Anirban A and Oksuz, Ilkay and Parajuli, Nripesh and Pennec, Xavier and Perea{\~n}ez, Marco and Pinto, Catarina and Piras, Paolo and Roh{\'e}, Marc-Michel and Rueckert, Daniel R and S{\"a}ring, Dennis and Sermesant, Maxime and Siddiqi, Kaleem and Tabassian, Mahdi and Teresi, Luciano and Tsaftaris, Sotirios A and Wilms, Matthias and Young, Alistair A and Zhang, Xingyu and Medrano-Gracia, Pau},
url-hal= {https://inria.hal.science/hal-01533805},
JOURNAL = {{IEEE Journal of Biomedical and Health Informatics}},
PUBLISHER = {{Institute of Electrical and Electronics Engineers}},
VOLUME = {22},
NUMBER = {3},
PAGES = {503-515},
YEAR = {2018},
MONTH = Mar,
DOI = {10.1109/JBHI.2017.2652449},
KEYWORDS = {statistical shape analysis ; classification ; myocardial infarct ; Cardiac modeling},
PDF = {https://inria.hal.science/hal-01533805/file/jSuinesiaputra_JBHI_2017_FINAL.pdf},
HAL_ID = {hal-01533805},
HAL_VERSION = {v1},
}
-
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,
spatial propagation,
Cardiac segmentation,
3D consistency,
neural network.
@article{zheng:hal-01753086,
TITLE = {{3D Consistent \& Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation}},
AUTHOR = {Zheng, Qiao and Delingette, Herv{\'e} and Duchateau, Nicolas and Ayache, Nicholas},
url-hal= {https://inria.hal.science/hal-01753086},
JOURNAL = {{IEEE Transactions on Medical Imaging}},
PUBLISHER = {{Institute of Electrical and Electronics Engineers}},
VOLUME = {37},
PAGES = {2137-2148},
YEAR = {2018},
MONTH = Apr,
KEYWORDS = {deep learning ; spatial propagation ; Cardiac segmentation ; 3D consistency ; neural network},
PDF = {https://inria.hal.science/hal-01753086/file/FINAL%20VERSION.pdf},
HAL_ID = {hal-01753086},
HAL_VERSION = {v1},
}
-
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): cardiac strain,
Multimodal cardiac imaging,
synthetic sequences,
electromechanical model,
motion estimation,
numerical simulation.
@article{zhou:hal-01533366,
TITLE = {{A Framework for the Generation of Realistic Synthetic Cardiac Ultrasound and Magnetic Resonance Imaging Sequences from the same Virtual Patients}},
AUTHOR = {Zhou, Yitian and Giffard-Roisin, Sophie and de Craene, Mathieu and Camarasu-Pop, Sorina and d'Hooge, Jan and Alessandrini, Martino and Friboulet, Denis and Sermesant, Maxime and Bernard, Olivier},
url-hal= {https://inria.hal.science/hal-01533366},
JOURNAL = {{IEEE Transactions on Medical Imaging}},
PUBLISHER = {{Institute of Electrical and Electronics Engineers}},
VOLUME = {37},
NUMBER = {3},
PAGES = {741-754},
YEAR = {2018},
DOI = {10.1109/TMI.2017.2708159},
KEYWORDS = {cardiac strain ; Multimodal cardiac imaging ; synthetic sequences ; electromechanical model ; motion estimation ; numerical simulation},
PDF = {https://inria.hal.science/hal-01533366/file/TMI2708159.pdf},
HAL_ID = {hal-01533366},
HAL_VERSION = {v1},
}
-
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.
@incollection{ayache:hal-01882558,
TITLE = {{L'imagerie m{\'e}dicale {\`a} l'heure de l'intelligence artificielle}},
AUTHOR = {Ayache, Nicholas},
url-hal= {https://inria.hal.science/hal-01882558},
BOOKTITLE = {{Sant{\'e} et intelligence artificielle}},
EDITOR = {C{\'e}dric Villani and Bernard Nordlinger},
PUBLISHER = {{CNRS Editions}},
PAGES = {151-154},
YEAR = {2018},
MONTH = Oct,
PDF = {https://inria.hal.science/hal-01882558/file/Ayache-Livre-IA-Sante%CC%81-Imagerie-vf.pdf},
HAL_ID = {hal-01882558},
HAL_VERSION = {v1},
}
-
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.
@incollection{bouveyron:hal-01884468,
TITLE = {{Apprentissage statistique en grande dimension et application au diagnostic oncologique par radiomique}},
AUTHOR = {Bouveyron, Charles},
url-hal= {https://hal.science/hal-01884468},
BOOKTITLE = {{Sant{\'e} et intelligence artificielle}},
EDITOR = {C{\'e}dric Villani and Bernard Nordlinger},
PUBLISHER = {{CNRS Editions}},
PAGES = {179-189},
YEAR = {2018},
MONTH = Oct,
PDF = {https://hal.science/hal-01884468/file/Article-ANM.pdf},
HAL_ID = {hal-01884468},
HAL_VERSION = {v1},
}
-
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.
@inproceedings{abinader:hal-01882450,
TITLE = {{Alzheimer's Disease Modelling and Staging through Independent Gaussian Process Analysis of Spatio-Temporal Brain Changes}},
AUTHOR = {Abi Nader, Clement and Ayache, Nicholas and Robert, Philippe and Lorenzi, Marco},
url-hal= {https://hal.science/hal-01882450},
BOOKTITLE = {{Machine Learning in Clinical Neuroimaging (MLCN) workshop}},
ADDRESS = {Granada, Spain},
YEAR = {2018},
MONTH = Sep,
KEYWORDS = {Alzheimer's Disease ; Disease Progression Modelling ; Gaussian Process},
PDF = {https://hal.science/hal-01882450/file/MLCN_2018_no_appendix.pdf},
HAL_ID = {hal-01882450},
HAL_VERSION = {v1},
}
-
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,
volume 11038 of LNCS,
Granada, Spain,
pages 15-23,
September 2018.
@inproceedings{antelmi:hal-02397737,
TITLE = {{Multi-Channel Stochastic Variational Inference for the Joint Analysis of Heterogeneous Biomedical Data in Alzheimer's Disease}},
AUTHOR = {Antelmi, Luigi and Ayache, Nicholas and Robert, Philippe and Lorenzi, Marco},
url-hal= {https://inria.hal.science/hal-02397737},
BOOKTITLE = {{Understanding and Interpreting Machine Learning in Medical Image Computing Applications}},
ADDRESS = {Granada, Spain},
SERIES = {LNCS},
VOLUME = {11038},
PAGES = {15-23},
YEAR = {2018},
MONTH = Sep,
PDF = {https://inria.hal.science/hal-02397737v2/file/mcvae.pdf},
HAL_ID = {hal-02397737},
HAL_VERSION = {v2},
}
-
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.
@inproceedings{chakraborty:hal-02024010,
TITLE = {{Estimation of the Spatial Resolution of a 2D Strain Estimator Using Synthetic Cardiac Images}},
AUTHOR = {Chakraborty, Bidisha and Giffard-Roisin, Sophie and Alessandrini, Martino and Heyde, Brecht and Sermesant, M and d'Hooge, Jan},
url-hal= {https://hal.science/hal-02024010},
BOOKTITLE = {{IUS 2018 - IEEE International Ultrasonics Symposium}},
ADDRESS = {Kobe, Japan},
PUBLISHER = {{IEEE}},
PAGES = {1-9},
YEAR = {2018},
MONTH = Oct,
PDF = {https://hal.science/hal-02024010/file/IUS_Proceedings_bidisha_2018.pdf},
HAL_ID = {hal-02024010},
HAL_VERSION = {v1},
}
-
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): distance map,
ensemble prediction,
loss function,
contour loss,
left atrium,
deep learning,
segmentation,
3D U-Net.
@inproceedings{jia:hal-01860285,
TITLE = {{Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss}},
AUTHOR = {Jia, Shuman and Despinasse, Antoine and Wang, Zihao and Delingette, Herv{\'e} and Pennec, Xavier and Ja{\"i}s, Pierre and Cochet, Hubert and Sermesant, Maxime},
url-hal= {https://inria.hal.science/hal-01860285},
BOOKTITLE = {{STACOM: Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges}},
ADDRESS = {Granada, Spain},
SERIES = {LNCS},
VOLUME = {11395},
PAGES = {221-229},
YEAR = {2018},
MONTH = Sep,
DOI = {10.1007/978-3-030-12029-0\_24},
KEYWORDS = {distance map ; ensemble prediction ; loss function ; contour loss ; left atrium ; deep learning ; segmentation ; 3D U-Net},
PDF = {https://inria.hal.science/hal-01860285v4/file/Segmenting_STACOM_Cameraready-2.pdf},
HAL_ID = {hal-01860285},
HAL_VERSION = {v4},
}
-
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.
@inproceedings{jia:hal-01860274,
TITLE = {{Parallel Transport of Surface Deformations from Pole Ladder to Symmetrical Extension}},
AUTHOR = {Jia, Shuman and Duchateau, Nicolas and Moceri, Pamela and Sermesant, Maxime and Pennec, Xavier},
url-hal= {https://inria.hal.science/hal-01860274},
BOOKTITLE = {{Shape in Medical Imaging. ShapeMI 2018.}},
ADDRESS = {Granada, Spain},
PUBLISHER = {{Springer}},
SERIES = {LNCS},
VOLUME = {11167},
PAGES = {116-124},
YEAR = {2018},
MONTH = Sep,
DOI = {10.1007/978-3-030-04747-4\_11},
PDF = {https://inria.hal.science/hal-01860274/file/Paper.pdf},
HAL_ID = {hal-01860274},
HAL_VERSION = {v1},
}
-
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): Image registration,
Deep learning,
Medical imaging analysis.
@inproceedings{krebs:hal-01845688,
TITLE = {{Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic Registration}},
AUTHOR = {Krebs, Julian and Mansi, Tommaso and Mailh{\'e}, Boris and Ayache, Nicholas and Delingette, Herv{\'e}},
url-hal= {https://inria.hal.science/hal-01845688},
BOOKTITLE = {{Deep Learning in Medical Image Analysis (MICCAI workshop)}},
ADDRESS = {Granada, Spain},
YEAR = {2018},
MONTH = Sep,
KEYWORDS = {Image registration ; Deep learning ; Medical imaging analysis},
PDF = {https://inria.hal.science/hal-01845688/file/32_dlmia18.pdf},
HAL_ID = {hal-01845688},
HAL_VERSION = {v1},
}
-
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.
@inproceedings{lorenzi:hal-01843006,
TITLE = {{Constraining the Dynamics of Deep Probabilistic Models}},
AUTHOR = {Lorenzi, Marco and Filippone, Maurizio},
url-hal= {https://inria.hal.science/hal-01843006},
NOTE = {13 pages},
BOOKTITLE = {{ICML 2018 - The 35th International Conference on Machine Learning}},
ADDRESS = {Stockholm, Sweden},
SERIES = {PMLR - Proceedings of Machine Learning Research},
VOLUME = {80},
PAGES = {3233-3242},
YEAR = {2018},
MONTH = Jul,
KEYWORDS = {machine learning ; dynamical systems ; gradient matching ; gaussian process},
HAL_ID = {hal-01843006},
HAL_VERSION = {v1},
}
-
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.
@inproceedings{moceri:hal-01994488,
TITLE = {{Incremental prognostic value of changes in 3D right ventricular function in pulmonary hypertension}},
AUTHOR = {Moceri, Pamela and Duchateau, Nicolas and Baudouy, D and Sanfiorenzo, C and Squara, F and Ferrari, E. and Sermesant, M},
url-hal= {https://hal.science/hal-01994488},
BOOKTITLE = {{ESC congress}},
ADDRESS = {Munich, Germany},
YEAR = {2018},
HAL_ID = {hal-01994488},
HAL_VERSION = {v1},
}
-
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.
@inproceedings{moceri:hal-01994486,
TITLE = {{Volume overload impact on 3D right ventricular shape and strain: comparative analysis of tetralogy of Fallot and atrial septal defect patients}},
AUTHOR = {Moceri, Pamela and Duchateau, Nicolas and Baudouy, Delphine and Squara, Fabien and Ferrari, Emile and Sermesant, M},
url-hal= {https://hal.science/hal-01994486},
BOOKTITLE = {{ESC congress}},
ADDRESS = {Munich, Germany},
YEAR = {2018},
HAL_ID = {hal-01994486},
HAL_VERSION = {v1},
}
-
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.
@inproceedings{moceri:hal-01994483,
TITLE = {{Right ventricular remodelling in CHD-PAH patients using 3D speckle tracking}},
AUTHOR = {Moceri, Pamela and Duchateau, Nicolas and Dursent, N and Iriart, Xavier and Hascoet, S{\'e}bastien and Baudouy, Delphine and Ferrari, Emile and Sermesant, M},
url-hal= {https://hal.science/hal-01994483},
BOOKTITLE = {{EuroEcho 2018 - 22nd Annual Congressof the European Association of Cardiovascular Imaging}},
ADDRESS = {Milan, Italy},
YEAR = {2018},
MONTH = Dec,
HAL_ID = {hal-01994483},
HAL_VERSION = {v1},
}
-
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.
@inproceedings{moceri:hal-01994484,
TITLE = {{Right ventricular function in acute pulmonary embolism: a three-dimensional strain study}},
AUTHOR = {Moceri, Pamela and Duchateau, Nicolas and Sartre, Benjamin and Sermesant, M and Ferrari, Emile},
url-hal= {https://hal.science/hal-01994484},
BOOKTITLE = {{Euroecho}},
ADDRESS = {Milan, Italy},
YEAR = {2018},
HAL_ID = {hal-01994484},
HAL_VERSION = {v1},
}
-
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.
@inproceedings{orlhac:hal-01736154,
TITLE = {{Identification des cancers mammaires triple-n{\'e}gatifs : analyse statistique de variables radiomiques issues des images TEP et de variables m{\'e}tabolomiques}},
AUTHOR = {Orlhac, Fanny and Bouveyron, Charles and Pourcher, Thierry and Jing, Lun and Guigonis, Jean-Marie and Darcourt, Jacques and Ayache, Nicholas and Humbert, Olivier},
url-hal= {https://hal.science/hal-01736154},
BOOKTITLE = {{2018 - 4{\`e}mes Journ{\'e}es Francophones de M{\'e}decine Nucl{\'e}aire}},
ADDRESS = {Lille, France},
SERIES = {M{\'e}decine Nucl{\'e}aire},
VOLUME = {42},
NUMBER = {3},
PAGES = {169},
YEAR = {2018},
MONTH = May,
KEYWORDS = {Analyse de texture ; Cancer du sein ; H{\'e}t{\'e}rog{\'e}n{\'e}it{\'e} tumorale ; Traitement des images ; Triple-n{\'e}gatif},
PDF = {https://hal.science/hal-01736154/file/JFMN_Radio_Metabo_version_HAL.pdf},
HAL_ID = {hal-01736154},
HAL_VERSION = {v1},
}
-
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): Etude multicentrique,
Normalisation,
Quantification,
Analyse de texture,
Hétérogénéité tumorale.
@inproceedings{orlhac:hal-01736147,
TITLE = {{Validation d'une m{\'e}thode d'harmonisation des mesures SUV et des variables radiomiques pour les {\'e}tudes TEP multicentriques r{\'e}trospectives}},
AUTHOR = {Orlhac, Fanny and Humbert, Olivier and Boughdad, Sarah and Lasserre, Maud and Soussan, Michael and Nioche, Christophe and Ayache, Nicholas and Darcourt, Jacques and Frouin, Fr{\'e}d{\'e}rique and Buvat, Ir{\`e}ne},
url-hal= {https://hal.science/hal-01736147},
BOOKTITLE = {{2018 - 4{\`e}mes Journ{\'e}es Francophones de M{\'e}decine Nucl{\'e}aire}},
ADDRESS = {Lille, France},
VOLUME = {42},
NUMBER = {3},
PAGES = {170},
YEAR = {2018},
MONTH = May,
KEYWORDS = {Etude multicentrique ; Normalisation ; Quantification ; Analyse de texture ; H{\'e}t{\'e}rog{\'e}n{\'e}it{\'e} tumorale},
PDF = {https://hal.science/hal-01736147/file/JFMN_ComBat_version_HAL.pdf},
HAL_ID = {hal-01736147},
HAL_VERSION = {v1},
}
-
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.
@inproceedings{orlhac:hal-01759334,
TITLE = {{Validation of a harmonization method to correct for SUV and radiomic features variability in multi-center studies}},
AUTHOR = {Orlhac, Fanny and Humbert, Olivier and Boughdad, Sarah and Lasserre, Maud and Soussan, Michael and Nioche, Christophe and Ayache, Nicholas and Darcourt, Jacques and Frouin, Fr{\'e}d{\'e}rique and Buvat, Ir{\`e}ne},
url-hal= {https://hal.science/hal-01759334},
BOOKTITLE = {{SNMMI Annual Meeting}},
ADDRESS = {Philadelphia, United States},
VOLUME = {59},
PAGES = {288},
YEAR = {2018},
MONTH = Jun,
PDF = {https://hal.science/hal-01759334/file/Abstract_SNM_ComBat.pdf},
HAL_ID = {hal-01759334},
HAL_VERSION = {v1},
}
-
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): Métabolomique,
Analyse statistique,
Analyse discriminante,
Sélection de variables,
Radiomique.
@inproceedings{orlhac:hal-01736164,
TITLE = {{Analyse statistique de donn{\'e}es radiomiques et m{\'e}tabolomiques : pr{\'e}diction des l{\'e}sions mammaires triple-n{\'e}gatives}},
AUTHOR = {Orlhac, Fanny and Humbert, Olivier and Pourcher, Thierry and Jing, Lun and Guigonis, Jean-Marie and Darcourt, Jacques and Ayache, Nicholas and Bouveyron, Charles},
url-hal= {https://hal.science/hal-01736164},
BOOKTITLE = {{12{\`e}me Conf{\'e}rence Francophone d'Epid{\'e}miologie Clinique (EPICLIN) et 25{\`e}mes Journ{\'e}es des statisticiens des Centre de Lutte Contre le Cancer (CLCC)}},
ADDRESS = {Nice, France},
SERIES = {Revue d'{\'e}pid{\'e}miologie et de sant{\'e} publique},
VOLUME = {66},
NUMBER = {s3},
PAGES = {S180-S181},
YEAR = {2018},
MONTH = May,
DOI = {10.1016/j.respe.2018.03.307},
KEYWORDS = {M{\'e}tabolomique ; Analyse statistique ; Analyse discriminante ; S{\'e}lection de variables ; Radiomique},
PDF = {https://hal.science/hal-01736164/file/Abstract_EPICLIN_version_HAL.pdf},
HAL_ID = {hal-01736164},
HAL_VERSION = {v1},
}
-
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.
@inproceedings{orlhac:hal-01759330,
TITLE = {{Statistical analysis of PET radiomic features and metabolomic data: prediction of triple-negative breast cancer}},
AUTHOR = {Orlhac, Fanny and Humbert, Olivier and Pourcher, Thierry and Jing, Lun and Guigonis, Jean-Marie and Darcourt, Jacques and Ayache, Nicholas and Bouveyron, Charles},
url-hal= {https://hal.science/hal-01759330},
BOOKTITLE = {{SNMMI Annual Meeting}},
ADDRESS = {Philadelphia, United States},
VOLUME = {59},
NUMBER = {supplement 1},
PAGES = {1755},
YEAR = {2018},
MONTH = Jun,
PDF = {https://hal.science/hal-01759330/file/Abstract_SNM_Radio_Metabo.pdf},
HAL_ID = {hal-01759330},
HAL_VERSION = {v1},
}
-
Santiago Silva,
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.
@inproceedings{silva:hal-01963637,
TITLE = {{Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data}},
AUTHOR = {Silva, Santiago and Gutman, Boris A and Romero, Eduardo and Thompson, Paul M. and Altmann, Andre and Lorenzi, Marco},
url-hal= {https://inria.hal.science/hal-01963637},
BOOKTITLE = {{International Symposium on Biomedical Imaging}},
ADDRESS = {Venice, Italy},
YEAR = {2018},
MONTH = Apr,
HAL_ID = {hal-01963637},
HAL_VERSION = {v1},
}
-
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.
@inproceedings{wei:hal-01810822,
TITLE = {{Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training}},
AUTHOR = {Wei, Wen and Poirion, Emilie and Bodini, Benedetta and Durrleman, Stanley and Ayache, Nicholas and Stankoff, Bruno and Colliot, Olivier},
url-hal= {https://inria.hal.science/hal-01810822},
BOOKTITLE = {{MICCAI 2018 -- 21st International Conference On Medical Image Computing \& Computer Assisted Intervention}},
ADDRESS = {Granada, Spain},
VOLUME = {11072},
YEAR = {2018},
MONTH = Sep,
DOI = {10.1007/978-3-030-00931-1\_59},
PDF = {https://inria.hal.science/hal-01810822/file/paper.pdf},
HAL_ID = {hal-01810822},
HAL_VERSION = {v1},
}
-
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.
@inproceedings{wei:hal-01723070,
TITLE = {{FLAIR MR Image Synthesis By Using 3D Fully Convolutional Networks for Multiple Sclerosis}},
AUTHOR = {Wei, Wen and Poirion, Emilie and Bodini, Benedetta and Durrleman, Stanley and Colliot, Olivier and Stankoff, Bruno and Ayache, Nicholas},
url-hal= {https://inria.hal.science/hal-01723070},
BOOKTITLE = {{ISMRM-ESMRMB 2018 - Joint Annual Meeting}},
ADDRESS = {Paris, France},
PAGES = {1-6},
YEAR = {2018},
MONTH = Jun,
PDF = {https://inria.hal.science/hal-01723070/file/ismrm_2018_wen_final.pdf},
HAL_ID = {hal-01723070},
HAL_VERSION = {v1},
}
-
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): Gaussian Process,
Statistical Learning.
@misc{abinader:hal-01826517,
TITLE = {{Disentangling spatio-temporal patterns of brain changes in large-scale brain imaging databases through Independent Gaussian Process Analysis}},
AUTHOR = {Abi Nader, Clement and Ayache, Nicholas and Manera, Valeria and Robert, Philippe and Lorenzi, Marco},
url-hal= {https://hal.science/hal-01826517},
NOTE = {Poster},
HOWPUBLISHED = {{12{\`e}me Conf{\'e}rence Francophone d'Epid{\'e}miologie Clinique (EPICLIN) et 25{\`e}mes Journ{\'e}es des statisticiens des Centre de Lutte Contre le Cancer (CLCC)}},
VOLUME = {Revue d'{\'E}pid{\'e}miologie et de Sant{\'e} Publique},
NUMBER = {66},
PAGES = {S159},
YEAR = {2018},
MONTH = May,
DOI = {10.1016/j.respe.2018.03.108},
KEYWORDS = {Gaussian Process ; Statistical Learning},
PDF = {https://hal.science/hal-01826517/file/Epiclin_2018.pdf},
HAL_ID = {hal-01826517},
HAL_VERSION = {v1},
}
-
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).
@misc{antelmi:hal-01844733,
TITLE = {{Supplementary Material of the paper: ''Multi-Channel Stochastic Variational Inference for the Joint Analysis of Heterogeneous Biomedical Data in Alzheimer's Disease''}},
AUTHOR = {Antelmi, Luigi and Ayache, Nicholas and Robert, Philippe and Lorenzi, Marco},
url-hal= {https://inria.hal.science/hal-01844733},
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)},
YEAR = {2018},
MONTH = Jul,
HAL_ID = {hal-01844733},
HAL_VERSION = {v1},
}
-
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.
@misc{antelmi:hal-01827389,
TITLE = {{A method for statistical learning in large databases of heterogeneous imaging, cognitive and behavioral data.}},
AUTHOR = {Antelmi, Luigi and Lorenzi, Marco and Manera, Valeria and Robert, Philippe and Ayache, Nicholas},
url-hal= {https://inria.hal.science/hal-01827389},
NOTE = {Poster},
HOWPUBLISHED = {{EPICLIN 2018 - 12{\`e}me Conf{\'e}rence Francophone d'Epid{\'e}miologie Clinique / CLCC 2018 - 25{\`e}mes Journ{\'e}es des statisticiens des Centre de Lutte Contre le Cancer}},
HAL_LOCAL_REFERENCE = {Poster},
PUBLISHER = {{Elsevier}},
SERIES = {12e Conf{\'e}rence francophone d'{\'E}pid{\'e}miologie clinique 25e Journ{\'e}e des statisticiens des Centres de lutte contre le cancer},
VOLUME = {66},
NUMBER = {3},
PAGES = {S180},
YEAR = {2018},
MONTH = May,
DOI = {10.1016/j.respe.2018.03.306},
KEYWORDS = {CCA ; Statistical learning},
PDF = {https://inria.hal.science/hal-01827389/file/epiclin_2018_abstract_antelmi%20%281%29.pdf},
HAL_ID = {hal-01827389},
HAL_VERSION = {v1},
}
-
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.
@misc{lorenzi:hal-02568454,
TITLE = {{Blood Levels of Omega 3 and 6 across the Progression of Alzheimer's Disease}},
AUTHOR = {Lorenzi, Marco and Barelli, H{\'e}l{\`e}ne},
url-hal= {https://hal.science/hal-02568454},
NOTE = {Poster},
HOWPUBLISHED = {{Alzheimer's Association International Conference (AAIC)}},
YEAR = {2018},
PDF = {https://hal.science/hal-02568454/file/AAIC2018-abstract.pdf},
HAL_ID = {hal-02568454},
HAL_VERSION = {v1},
}
-
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.
@misc{nader:hal-01849180,
TITLE = {{Appendix Alzheimer's Disease Modelling and Staging through Independent Gaussian Process Analysis of Spatio-Temporal Brain Changes}},
AUTHOR = {Nader, Clement Abi and Ayache, Nicholas and Robert, Philippe and Lorenzi, Marco},
url-hal= {https://hal.science/hal-01849180},
NOTE = {Appendix},
YEAR = {2018},
MONTH = Jul,
PDF = {https://hal.science/hal-01849180/file/appendix.pdf},
HAL_ID = {hal-01849180},
HAL_VERSION = {v1},
}
-
Claire Cury,
Stanley Durrleman,
David M. Cash,
Marco Lorenzi,
Jennifer M Nicholas,
Martina Bocchetta,
John Cornelis 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): LDDMM,
Frontotemporal Dementia,
Shape Analysis,
Genfi,
Thalamus,
Spatio temporal analysis,
Morphometry.
@unpublished{cury:hal-01856906,
TITLE = {{Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: applied to GENFI study}},
AUTHOR = {Cury, Claire and Durrleman, Stanley and Cash, David M. and Lorenzi, Marco and Nicholas, Jennifer M and Bocchetta, Martina and van Swieten, John Cornelis and Borroni, Barbara and Galimberti, Daniela and Masellis, Mario and Tartaglia, Maria Carmela and Rowe, James and Graff, Caroline and Tagliavini, Fabrizio and Frisoni, Giovanni B. and Laforce, Robert Jr. and Finger, Elizabeth and de Mendon{\c c}a, Alexandre and Sorbi, Sandro and Ourselin, S{\'e}bastien and Rohrer, Jonathan D and Modat, Marc M},
url-hal= {https://inria.hal.science/hal-01856906},
NOTE = {working paper or preprint},
YEAR = {2018},
MONTH = Aug,
DOI = {10.1101/385427},
KEYWORDS = {LDDMM ; Frontotemporal Dementia ; Shape Analysis ; Genfi ; Thalamus ; Spatio temporal analysis ; Morphometry},
HAL_ID = {hal-01856906},
HAL_VERSION = {v1},
}
-
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): parallel transport,
pole ladder,
symmetric space,
numerical approximation,
affine connection space.
@unpublished{pennec:hal-01799888,
TITLE = {{Parallel Transport with Pole Ladder: a Third Order Scheme in Affine Connection Spaces which is Exact in Affine Symmetric Spaces}},
AUTHOR = {Pennec, Xavier},
url-hal= {https://hal.science/hal-01799888},
NOTE = {working paper or preprint},
YEAR = {2018},
MONTH = May,
KEYWORDS = {parallel transport ; pole ladder ; symmetric space ; numerical approximation ; affine connection space},
PDF = {https://hal.science/hal-01799888/file/PoleLadderInSymmetricSpaces.pdf},
HAL_ID = {hal-01799888},
HAL_VERSION = {v1},
}
-
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): spatial consistency,
convolutional neu- ral network,
deep learning,
myocardial segmentation,
propagation.
@unpublished{zheng:hal-01755317,
TITLE = {{3D Consistent Biventricular Myocardial Segmentation Using Deep Learning for Mesh Generation}},
AUTHOR = {Zheng, Qiao and Delingette, Herv{\'e} and Duchateau, Nicolas and Ayache, Nicholas},
url-hal= {https://inria.hal.science/hal-01755317},
NOTE = {working paper or preprint},
YEAR = {2018},
MONTH = Mar,
KEYWORDS = {spatial consistency ; convolutional neu- ral network ; deep learning ; myocardial segmentation ; propagation},
PDF = {https://inria.hal.science/hal-01755317/file/miccai2017paper1_version2.pdf},
HAL_ID = {hal-01755317},
HAL_VERSION = {v1},
}