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ARAMIS - 2017
ARAMIS - 2017
Project-Team Aramis
Personnel
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
Project-Team Aramis
Personnel
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography


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Bibliography

Publications of the year

Articles in International Peer-Reviewed Journals

  • 1A. Beaudet, J. Dumoncel, F. de Beer, S. Durrleman, E. Gilissen, A. Oettlé, G. Subsol, J. F. Thackeray, J. Braga.

    The endocranial shape of Australopithecus africanus : surface analysis of the endocasts of Sts 5 and Sts 60, in: Journal of Anatomy, 2017, forthcoming. [ DOI : 10.1111/joa.12745 ]

    https://hal-lirmm.ccsd.cnrs.fr/lirmm-01636811
  • 2A. Bertrand, S. Brunel, M.-O. Habert, M. Soret, S. Jaffre, N. Capeau, L. Bourseul, I. Dufour-Claude, A. Kas, D. Dormont.

    A New Fire Hazard for MR Imaging Systems: Blankets—Case Report, in: Radiology, August 2017, vol. 000. [ DOI : 10.1148/radiol.2017162921 ]

    https://hal.inria.fr/hal-01580514
  • 3A. Bertrand, D. Leclercq, L. Martinez-Almoyna, N. Girard, J.-P. Stahl, T. De-Broucker.

    MR imaging of adult acute infectious encephalitis, in: Médecine et Maladies Infectieuses, 2017. [ DOI : 10.1016/j.medmal.2017.01.002 ]

    https://hal.archives-ouvertes.fr/hal-01490868
  • 4A. Bertrand, S. Stroër, I. Le Ber, M. Teichmann, D. Dormont.

    Structural magnetic resonance imaging in frontotemporal lobar dementia, in: Gériatrie et Psychologie Neuropsychiatrie du Vieillissement, September 2017, vol. 15, no 3. [ DOI : 10.1684/pnv.2017.0686 ]

    https://hal.inria.fr/hal-01583008
  • 5A. Bertrand, J. Wen, D. Rinaldi, M. Houot, S. Sayah, A. Camuzat, C. Fournier, S. Fontanella, A. Routier, P. Couratier, F. Pasquier, M.-O. Habert, D. Hannequin, O. Martinaud, P. Caroppo, R. Levy, B. Dubois, A. Brice, S. Durrleman, O. Colliot, I. Le Ber, P. Study.

    Early cognitive, structural and microstructural changes in c9orf72 presymptomatic carriers before 40 years of age, in: JAMA neurology, December 2017. [ DOI : 10.1001/jamaneurol.2017.4266 ]

    https://hal.inria.fr/hal-01654000
  • 6M. Boudot de la Motte, C. Louapre, A. Bertrand, P. Reach, C. Lubetzki, C. Papeix, E. Maillart.

    Extensive white matter lesions after 2 years of fingolimod: progressive multifocal leukoencephalopathy or MS relapse?, in: Multiple Sclerosis, 2017, vol. 23, no 4, pp. 614 - 616. [ DOI : 10.1177/1352458516682858 ]

    https://hal.archives-ouvertes.fr/hal-01562641
  • 7F. Cacciamani, C. Tandetnik, G. Gagliardi, H. Bertin, M. Habert, M. Hampel, L. Boukadida, M. Révillon, S. Epelbaum, B. Dubois.

    Low Cognitive Awareness, but Not Complaint, is a Good Marker of Preclinical Alzheimer's Disease, in: Journal of Alzheimer's disease : JAD, June 2017, vol. 59, no 2, pp. 753-762. [ DOI : 10.3233/JAD-170399 ]

    https://hal.archives-ouvertes.fr/hal-01562622
  • 8E. Cavedo, M. J. Grothe, O. Colliot, S. Lista, M. Chupin, D. Dormont, M. Houot, S. Lehéricy, S. Teipel, B. Dubois, H. Hampel.

    Reduced basal forebrain atrophy progression in a randomized Donepezil trial in prodromal Alzheimer's disease, in: Scientific Reports, September 2017, vol. 7, no 1, 11706 p, Hippocampus Study Group. [ DOI : 10.1038/s41598-017-09780-3 ]

    https://hal.inria.fr/hal-01589622
  • 9R. Colle, T. Segawa, M. Chupin, M. N. T. K. Tran Dong, P. Hardy, B. Falissard, O. Colliot, D. Ducreux, E. Corruble.

    Early life adversity is associated with a smaller hippocampus in male but not female depressed in-patients: a case–control study, in: BMC Psychiatry, 2017, vol. 17, no 1, 71 p. [ DOI : 10.1186/s12888-017-1233-2 ]

    http://hal.upmc.fr/hal-01474139
  • 10C. Cury, J. Glaunès, M. Chupin, O. Colliot.

    Analysis of anatomical variability using diffeomorphic iterative centroid in patients with Alzheimer's disease, in: Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2017, vol. 5, no 5, pp. 350 - 358. [ DOI : 10.1080/21681163.2015.1035403 ]

    https://hal.inria.fr/hal-01135304
  • 11F. De Vico Fallani, V. Latora, M. Chavez.

    A Topological Criterion for Filtering Information in Complex Brain Networks, in: PLoS Computational Biology, January 2017, vol. 13, no 1, pp. 1-18. [ DOI : 10.1371/journal.pcbi.1005305 ]

    https://hal.inria.fr/hal-01443254
  • 12S. Epelbaum, R. Genthon, E. Cavedo, M. Habert, F. Lamari, G. Gagliardi, S. Lista, M. Teichmann, H. Bakardjian, H. Hampel, B. Dubois.

    Preclinical Alzheimer's disease: a systematic review of the cohorts underlying the concept, in: Alzheimer's and Dementia, 2017, vol. 13, no 4, pp. 454-467. [ DOI : 10.1016/j.jalz.2016.12.003 ]

    https://hal.inria.fr/hal-01672859
  • 13S. Epelbaum, M. Teichmann, D. Samri, M. L. Nogueira, H. Hampel, F. Lamari, B. Dubois, A. Michon.

    Free and Cued Selective Reminding Test – accuracy for the differential diagnosis of Alzheimer's and neurodegenerative diseases: A large-scale biomarker-characterized monocenter cohort study (ClinAD), in: Alzheimer's & Dementia: The Journal of the Alzheimer's Association, August 2017, vol. 13, no 8, pp. 913 - 923. [ DOI : 10.1016/j.jalz.2016.12.014 ]

    https://hal.inria.fr/hal-01672862
  • 14J. Fishbaugh, S. Durrleman, M. Prastawa, G. Gerig.

    Geodesic shape regression with multiple geometries and sparse parameters, in: Medical Image Analysis, July 2017, vol. 39, pp. 1-17.

    https://hal.inria.fr/hal-01566280
  • 15P. Gori, O. Colliot, L. Marrakchi-Kacem, Y. Worbe, C. Poupon, A. Hartmann, N. Ayache, S. Durrleman.

    A Bayesian Framework for Joint Morphometry of Surface and Curve meshes in Multi-Object Complexes, in: Medical Image Analysis, January 2017, vol. 35, pp. 458-474. [ DOI : 10.1016/j.media.2016.08.011 ]

    https://hal.inria.fr/hal-01359423
  • 16B. Gris, S. Durrleman, A. Trouvé.

    A sub-Riemannian modular framework for diffeomorphism based analysis of shape ensembles, in: SIAM Journal of Imaging Sciences, 2017, forthcoming.

    https://hal.archives-ouvertes.fr/hal-01321142
  • 17J. Guillon, Y. Attal, O. Colliot, V. La Corte, B. Dubois, D. Schwartz, M. Chavez, F. de Vico Fallani.

    Loss of brain inter-frequency hubs in Alzheimer's disease, in: Scientific Reports, September 2017, vol. 7, no 1, 10879 p, https://arxiv.org/abs/1701.00096.

    https://hal.archives-ouvertes.fr/hal-01578419
  • 18E. Hainque, A. Blancher, V. Mesnage, S. Rivaud-Pechoux, A. Bertrand, S. Dupont, V. Navarro, E. Roze, I. Gourfinkel-An, E. Apartis.

    A clinical and neurophysiological motor signature of Unverricht–Lundborg disease, in: Revue Neurologique, 2017. [ DOI : 10.1016/j.neurol.2017.06.005 ]

    https://hal.archives-ouvertes.fr/hal-01562621
  • 19H. Hampel, S. O’Bryant, S. Durrleman, E. Younesi, K. Rojkova, V. Escott-Price, J.-C. Corvol, K. Broich, B. Dubois, S. Lista.

    A Precision Medicine Initiative for Alzheimer's disease: the road ahead to biomarker-guided integrative disease modeling, in: Climacteric, April 2017, vol. 20, no 2, pp. 107-118.

    https://hal.inria.fr/hal-01566281
  • 20T. Jacquemont, F. De Vico Fallani, A. Bertrand, S. Epelbaum, A. Routier, B. Dubois, H. Hampel, S. Durrleman, O. Colliot.

    Amyloidosis and neurodegeneration result in distinct structural connectivity patterns in mild cognitive impairment, in: Neurobiology of Aging, April 2017. [ DOI : 10.1016/j.neurobiolaging.2017.03.023 ]

    https://hal.inria.fr/hal-01518785
  • 21K. Kumar, C. Desrosiers, K. Siddiqi, O. Colliot, M. Toews.

    Fiberprint: A subject fingerprint based on sparse code pooling for white matter fiber analysis, in: NeuroImage, July 2017, vol. 158, pp. 242 - 259. [ DOI : 10.1016/j.neuroimage.2017.06.083 ]

    https://hal.inria.fr/hal-01562449
  • 22B. Mathon, F. Bielle, S. Samson, O. Plaisant, S. Dupont, A. Bertrand, R. Miles, V.-H. Nguyen-Michel, V. Lambrecq, A. L. Calderon-Garcidueñas, C. Duyckaerts, A. Carpentier, M. Baulac, P. Cornu, C. Adam, S. Clemenceau, V. Navarro.

    Predictive factors of long-term outcomes of surgery for mesial temporal lobe epilepsy associated with hippocampal sclerosis, in: Epilepsia, 2017, vol. 58, no 8, pp. 1473–1485. [ DOI : 10.1111/epi.13831 ]

    https://hal.inria.fr/hal-01557196
  • 23C. Obando, F. De Vico Fallani.

    A statistical model for brain networks inferred from large-scale electrophysiological signals, in: Journal of the Royal Society Interface, March 2017, vol. 14, no 128. [ DOI : 10.1098/rsif.2016.0940 ]

    https://hal.inria.fr/hal-01564939
  • 24C. Sanches, A. Routier, O. Colliot, M. Teichmann.

    The structure of the mental lexicon: what primary progressive aphasias reveal, in: Neuropsychologia, December 2017, vol. 109, pp. 107-115. [ DOI : 10.1016/j.neuropsychologia.2017.12.018 ]

    https://hal.inria.fr/hal-01672932

International Conferences with Proceedings

  • 25M. Ansart, S. Epelbaum, G. Gagliardi, O. Colliot, D. Dormont, B. Dubois, H. Hampel, S. Durrleman.

    Prediction of amyloidosis from neuropsychological and MRI data for cost effective inclusion of pre-symptomatic subjects in clinical trials, in: Multimodal Learning for Clinical Decision Support, Quebec City, Canada, September 2017.

    https://hal.inria.fr/hal-01578422
  • 26N. Burgos, J. Samper-González, A. Bertrand, M.-O. Habert, S. Ourselin, S. Durrleman, M. J. Cardoso, O. Colliot.

    Diagnosis of Alzheimer’s Disease Through Identification of Abnormality Patterns in FDG PET Data, in: 30th Annual Congress of the European Association of Nuclear Medicine (EANM), Vienna, Austria, October 2017, vol. 44, no S2, pp. 253 - 254. [ DOI : 10.1007/s00259-017-3822-1 ]

    https://hal.inria.fr/hal-01632509
  • 27N. Burgos, J. Samper-González, A. Bertrand, M.-O. Habert, S. Ourselin, S. Durrleman, M. J. Cardoso, O. Colliot.

    Individual Analysis of Molecular Brain Imaging Data Through Automatic Identification of Abnormality Patterns, in: Computational Methods for Molecular Imaging - [MICCAI 2017 Satellite Workshop], Quebec City, Canada, September 2017.

    https://hal.inria.fr/hal-01567343
  • 28A. Bône, M. Louis, A. Routier, J. Samper, M. Bacci, B. Charlier, O. Colliot, S. Durrleman.

    Prediction of the progression of subcortical brain structures in Alzheimer's disease from baseline, in: 6th MICCAI Workshop on Mathematical Foundations of Computational Anatomy, Quebec City, Canada, September 2017.

    https://hal.archives-ouvertes.fr/hal-01563587
  • 29I. Koval, J.-B. Schiratti, A. Routier, M. Bacci, O. Colliot, S. Allassonnière, S. Durrleman.

    Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networks, in: Medical Image Computing and Computer Assisted Intervention, Quebec City, Canada, Medical Image Computing and Computer Assisted Intervention, September 2017.

    https://hal.archives-ouvertes.fr/hal-01540828
  • 30K. Kumar, L. Chauvin, M. Toews, O. Colliot, C. Desrosiers.

    Multi-modal analysis of genetically-related subjects using SIFT descriptors in brain MRI, in: Workshop on Computational Diffusion MRI, CDMRI 2017, MICCAI Workshop, Quebec, Canada, September 2017.

    https://hal.inria.fr/hal-01589647
  • 31K. Kumar, P. Gori, B. Charlier, S. Durrleman, O. Colliot, C. Desrosiers.

    White Matter Fiber Segmentation Using Functional Varifolds, in: Workshop on Mathematical Foundations of Computational Anatomy, MFCA 2017, MICCAI Workshop, Québec, Canada, Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, Lecture Notes in Computer Science, Springer, September 2017, vol. 10551, pp. 92 - 100.

    https://hal.inria.fr/hal-01589649
  • 32M. Louis, A. Bône, B. Charlier, S. Durrleman.

    Parallel transport in shape analysis : a scalable numerical scheme, in: Geometric Science of Information, Paris, France, November 2017.

    https://hal.archives-ouvertes.fr/hal-01565478
  • 33P. Lu, O. Colliot.

    Multilevel Modeling with Structured Penalties for Classification from Imaging Genetics data, in: 3rd MICCAI Workshop on Imaging Genetics (MICGen 2017), Québec City, Canada, Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, Springer, September 2017, vol. 1, no 21, pp. 230-240.

    https://hal.inria.fr/hal-01578441
  • 34J. Samper-Gonzalez, N. Burgos, S. Fontanella, H. Bertin, M.-O. Habert, S. Durrleman, T. Evgeniou, O. Colliot.

    Yet Another ADNI Machine Learning Paper? Paving The Way Towards Fully-reproducible Research on Classification of Alzheimer's Disease, in: Machine Learning in Medical Imaging 2017, Quebec City, Canada, MLMI 2017, LNCS 10541, September 2017, 8 p.

    https://hal.inria.fr/hal-01578479

Conferences without Proceedings

  • 35N. Burgos, J. Samper-González, M. J. Cardoso, S. Durrleman, S. Ourselin, O. Colliot, S. M. Ourselin.

    Early Diagnosis of Alzheimer’s Disease Using Subject-Specific Models of FDG-PET Data, in: Alzheimer's Association International Conference, London, United Kingdom, July 2017, vol. 13, no 7, pp. 1-2. [ DOI : 10.1016/j.jalz.2017.06.1618 ]

    https://hal.inria.fr/hal-01621383
  • 36S. Ströer, L. Fillon, S. Epelbaum, M. Teichmann, A. Michon, L. Miggliaccio, A. Mendes, M. Chupin, O. Colliot, J. Ahdidan, C. Christoffersen, C. PEDERSEN, D. Dormont, A. Bertrand.

    Étude quantitative des anomalies de signal flair de la substance blanche dans les pathologies neurodégénératives, in: SFNR 2017 - 44ème Congrès de la Société Française de Neuroradiologie, Paris, France, March 2017, vol. 44, no 2, 1 p. [ DOI : 10.1016/j.neurad.2017.01.011 ]

    https://hal.archives-ouvertes.fr/hal-01562645

Other Publications

  • 37V. Anquetil, A. Bertrand, A. Camuzat, P. d. l. Grange, C. Fournier, V. Buée-Scherrer, V. Deramecourt, N. Sergeant, M. Barbier, L. Buée, A. Brice, C. Duyckaerts, I. Le Ber.

    Frontotemporal lobar degenerations, RNAopathy leading to proteinopathies, 2017, vol. 13, no 7, AAIC, Poster. [ DOI : 10.1016/j.jalz.2017.06.1982 ]

    https://hal.inria.fr/hal-01672304
  • 38M. Louis, B. CHARLIER, P. Jusselin, S. Pal, S. Durrleman.

    A Fanning Scheme for the Parallel Transport Along Geodesics on Riemannian Manifolds, July 2017, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-01560787
  • 39C. Obando Forero, F. De Vico Fallani.

    A statistical model for brain networks inferred from large-scale electrophysiological signals, June 2017, NetSci, Poster.

    https://hal.inria.fr/hal-01564952
  • 40J.-B. Schiratti, S. Allassonniere, O. Colliot, S. Durrleman.

    A Bayesian mixed-effects model to learn trajectories of changes from repeated manifold-valued observations, 2017, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-01540367


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