Team, Visitors, External Collaborators
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
XML PDF e-pub
PDF e-Pub


Bibliography

Publications of the year

Doctoral Dissertations and Habilitation Theses

[1]
M. Ansart.
Design of data driven decision support systems for the early detection of subjects at risk to develop Alzheimer’s disease, Sorbonne Université, November 2019.
https://tel.archives-ouvertes.fr/tel-02425735
[2]
M. Louis.
Computational and statistical methods for trajectory analysis in a Riemannian geometry setting, Sorbonnes universités, October 2019.
https://hal.archives-ouvertes.fr/tel-02430450
[3]
P. Lu.
Statistical Learning from Multimodal Genetic and Neuroimaging data for prediction of Alzheimer's Disease, Sorbonne Université, November 2019.
https://hal.inria.fr/tel-02433613
[4]
J. Samper-González.
Learning from multimodal data for classification and prediction of Alzheimer's disease, Sorbonne Université, April 2019.
https://tel.archives-ouvertes.fr/tel-02425827
[5]
J. Wen.
Structural and microstructural neuroimaging for diagnosis and tracking of neurodegenerative diseases, Sorbonne Universites, UPMC University of Paris 6, July 2019.
https://tel.archives-ouvertes.fr/tel-02425625

Articles in International Peer-Reviewed Journals

[6]
A. Androuin, Y.-S. K. Abada, M. Ly, M. Santin, A. Petiet, S. Epelbaum, A. Bertrand, B. Delatour.
Activity-induced MEMRI cannot detect functional brain anomalies in the APPxPS1-Ki mouse model of Alzheimer’s disease, in: Scientific Reports, 2019, vol. 9, 1140 p. [ DOI : 10.1038/s41598-018-37980-y ]
https://hal.sorbonne-universite.fr/hal-02017552
[7]
M. Ansart, S. Epelbaum, G. Gagliardi, O. Colliot, D. Dormont, B. Dubois, H. Hampel, S. Durrleman.
Reduction of recruitment costs in preclinical AD trials. Validation of automatic pre-screening algorithm for brain amyloidosis, in: Statistical Methods in Medical Research, January 2019, 096228021882303 p. [ DOI : 10.1177/0962280218823036 ]
https://hal.archives-ouvertes.fr/hal-01964942
[8]
S. Benghanem, C. Rosso, C. Arbizu, E. Moulton, D. Dormont, A. Leger, C. Pires, Y. Samson.
Aphasia outcome: the interactions between initial severity, lesion size and location, in: Journal of Neurology, June 2019, vol. 266, no 6, pp. 1303-1309. [ DOI : 10.1007/s00415-019-09259-3 ]
https://hal.inria.fr/hal-02418331
[9]
D. Bernardeschi, B. Law-Ye, F. Bielle, B. Hochet, O. Sterkers, D. Dormont, N. Pyatigorskaya.
Bioactive glass granules for mastoid and epitympanic surgical obliteration: CT and MRI appearance, in: European Radiology, October 2019, vol. 29, no 10, pp. 5617-5626. [ DOI : 10.1007/s00330-019-06120-z ]
https://hal.inria.fr/hal-02418328
[10]
M.-C. Corsi, M. Chavez, D. Schwartz, N. George, L. Hugueville, A. E. Kahn, S. Dupont, D. Bassett, F. De Vico Fallani.
Functional disconnection of associative cortical areas predicts performance during BCI training, in: NeuroImage, January 2020, 116500 p, forthcoming. [ DOI : 10.1016/j.neuroimage.2019.116500 ]
https://hal.inria.fr/hal-02438794
[11]
C. Cury, S. Durrleman, D. Cash, M. Lorenzi, J. M. Nicholas, M. Bocchetta, J. C. Van Swieten, B. Borroni, D. Galimberti, M. Masellis, M. C. Tartaglia, J. Rowe, C. Graff, F. Tagliavini, G. B. Frisoni, R. Laforce, E. Finger, A. de Mendonça, S. Sorbi, S. Ourselin, J. Rohrer, M. Modat, C. Andersson, S. Archetti, A. Arighi, L. Benussi, S. Black, M. Cosseddu, M. Fallstrm, C. G. Ferreira, C. Fenoglio, N. Fox, M. Freedman, G. Fumagalli, S. Gazzina, R. Ghidoni, M. Grisoli, V. Jelic, L. Jiskoot, R. Keren, G. Lombardi, C. Maruta, L. Meeter, R. van Minkelen, B. Nacmias, L. Ijerstedt, A. Padovani, J. Panman, M. Pievani, C. Polito, E. Premi, S. Prioni, R. Rademakers, V. Redaelli, E. Rogaeva, G. Rossi, M. Rossor, E. Scarpini, D. Tang-Wai, H. Thonberg, P. Tiraboschi, A. Verdelho, J. Warren.
Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort, in: NeuroImage, March 2019, vol. 188, pp. 282-290. [ DOI : 10.1016/j.neuroimage.2018.11.063 ]
https://www.hal.inserm.fr/inserm-01958916
[12]
C. Cury, M. A. Scelzi, R. Toro, V. Frouin, E. Artiges, A. Heinz, H. Lemaître, J.-L. Martinot, J.-B. Poline, M. N. Smolka, H. Walter, G. Schumann, A. Altmann, O. Colliot.
Genome wide association study of incomplete hippocampal inversion in adolescents, in: PLoS ONE, 2020, forthcoming.
https://hal.inria.fr/hal-02416654
[13]
F. De Vico Fallani, D. Bassett.
Network neuroscience for optimizing brain–computer interfaces, in: Physics of Life Reviews, December 2019, vol. 31, pp. 304-309. [ DOI : 10.1016/j.plrev.2018.10.001 ]
https://hal.archives-ouvertes.fr/hal-02428684
[14]
D. Dormont, N. Ben-Eliezer, N. Burgos, O. Colliot, F. De Vico Fallani, M. Dhenain, S. Durrleman, S. Epelbaum, M.-O. Habert, I. Le Ber, J.-F. Méder, Y. Menu, C. Oppenheim, Y. Wadghiri.
Tribute to Anne Bertrand (1978–2018): Neuroradiologist, scientist, teacher and friend, in: Journal de Neuroradiologie / Journal of Neuroradiology, March 2019, vol. 46, no 2, pp. 155-159. [ DOI : 10.1016/j.neurad.2019.01.001 ]
https://hal.inria.fr/hal-02265305
[15]
S. Epelbaum, C. Paquet, J. Hugon, J. Dumurgier, D. Wallon, D. Hannequin, T. Jonveaux, A. Besozzi, S. Pouponneau, C. Hommet, F. Blanc, L. Berly, A. Julian, M. Paccalin, F. Pasquier, J. Bellet, C. Boutoleau-Bretonnière, T. Charriau, O. Rouaud, O. Madec, A. Mouton, R. David, S. Bekadar, R. Fabre, E. Liegey, W. Deberdt, P. Robert, B. Dubois.
How many patients are eligible for disease-modifying treatment in Alzheimer’s disease? A French national observational study over 5 years, in: BMJ Open, June 2019, vol. 9, no 6, e029663 p. [ DOI : 10.1136/bmjopen-2019-029663 ]
https://hal.inria.fr/hal-02165245
[16]
C. Fournier, M. Barbier, A. Camuzat, V. Anquetil, S. Lattante, F. Clot, C. Cazeneuve, M. Sabatelli, S. Forlani, L. Jornea, E. E. Leguern, A. Brice, S. Auriacombe, S. Belliard, F. Blanc, C. Boutoleau-Bretonnière, M. Ceccaldi, M. Didic, C. Duyckaerts, F. Etcharry-Bouyx, V. Golfier, L. Lacomblez, B.-F. Michel, C. Thomas-Antérion, J. Pariente, F. Sellal, M. Vercelletto, E. Benchetrit, H. Bertin, A. Bertrand, A. Bissery, S. Bombois, M.-P. Boncoeur, P. Cassagnaud, M. Chastan, Y. Chen, M. Chupin, O. Colliot, P. Couratier, X. Delbeucq, V. Deramecourt, C. Delmaire, E. Gérardin, C. Hossein-Foucher, B. Dubois, M. Habert, D. Hannequin, G. Lautrette, T. Lebouvier, I. Le Ber, S. Lehéricy, B. Le Toullec, R. Lévy, M. Martineau, A. Mackowiak, J. Monteil, F. Pasquier, G. Petyt, P.-F. Pradat, A.-H. Oya, D. Rinaldi, A. Rollin-Sillaire, F. Salachas, S. Sayah, D. Wallon.
Relations between C9orf72 expansion size in blood, age at onset, age at collection and transmission across generations in patients and presymptomatic carriers, in: Neurobiology of Aging, February 2019, vol. 74, pp. 234.e1-234.e8. [ DOI : 10.1016/j.neurobiolaging.2018.09.010 ]
https://hal-unilim.archives-ouvertes.fr/hal-02025976
[17]
S. Gaubert, F. Raimondo, M. Houot, M.-C. Corsi, J. D. Sitt, B. Hermann, D. Oudiette, G. Gagliardi, M.-O. Habert, B. Dubois, F. De Vico Fallani, H. Bakardjian, S. Epelbaum.
EEG evidence of compensatory mechanisms in preclinical Alzheimer’s disease, in: Brain - A Journal of Neurology , June 2019. [ DOI : 10.1093/brain/awz150 ]
https://hal.inria.fr/hal-02164586
[18]
B. Geerts, B. L. Ye, D. Galanaud, D. Dormont, N. Pyatigorskaya.
Potential Effect of Fetal Origin of Posterior Cerebral Artery on the Arterial Spin Labeling Sequence, in: American Journal of Neuroradiology, November 2019. [ DOI : 10.1016/j.neurad.2019.08.006 ]
https://hal.inria.fr/hal-02418326
[19]
F. Grosselin, X. Navarro-Sune, A. Vozzi, K. Pandremmenou, F. De Vico Fallani, Y. Attal, M. Chavez.
Quality Assessment of Single-Channel EEG for Wearable Devices, in: Sensors, 2019, vol. 19, no 3, 601 p. [ DOI : 10.3390/s19030601 ]
https://hal.sorbonne-universite.fr/hal-02017731
[20]
J. Guillon, M. Chavez, F. Battiston, Y. Attal, V. L. Corte, M. Thiebaud de Schotten, B. Dubois, D. Schwartz, O. Colliot, F. De Vico Fallani.
Disrupted core-periphery structure of multimodal brain networks in Alzheimer’s disease, in: Network Neuroscience, January 2019, vol. 3, no 2, pp. 635-652. [ DOI : 10.1162/netn_a_00087 ]
https://hal.inria.fr/hal-02265308
[21]
M. Lacour, O. Quenez, A. Rovelet-Lecrux, B. Salomon, S. Rousseau, A.-C. Richard, M. Quillard-Muraine, F. Pasquier, A. Rollin-Sillaire, O. Martinaud, A. Zarea, V. De La Sayette, C. Boutoleau-Bretonnière, F. Etcharry-Bouyx, V. Chauviré, M. Sarazin, I. Le Ber, S. Epelbaum, T. Jonveaux, O. Rouaud, M. Ceccaldi, O. Godefroy, M. Formaglio, B. Croisile, S. Auriacombe, E. Magnin, M. Sauvée, C. Marelli, A. Gabelle, J. Pariente, C. Paquet, A. Boland, J.-F. Deleuze, D. Campion, D. Hannequin, G. Nicolas, D. Wallon.
Causative Mutations and Genetic Risk Factors in Sporadic Early Onset Alzheimer’s Disease Before 51 Years, in: Journal of Alzheimer's Disease, September 2019, vol. 71, no 1, pp. 227-243. [ DOI : 10.3233/JAD-190193 ]
https://hal-normandie-univ.archives-ouvertes.fr/hal-02332506
[22]
G. Querin, P. Bede, M. M. El Mendili, M. Li, M. Pélégrini-Issac, D. Rinaldi, M. Catala, D. Saracino, F. Salachas, A. Camuzat, V. Marchand-Pauvert, J. Cohen-Adad, O. Colliot, I. Le Ber, P.-F. Pradat.
Presymptomatic spinal cord pathology in c9orf72 mutation carriers: a longitudinal neuroimaging study, in: Annals of Neurology, June 2019, vol. 86, no 2, pp. 158-167. [ DOI : 10.1002/ana.25520 ]
https://hal.inria.fr/hal-02265301
[23]
M. Thiebaud de Schotten, H. Bakardjian, H. Benali, H. Bertin, J. Bonheur, L. Boukadida, N. Boukerrou, O. Colliot, M. Dubois, S. Epelbaum, G. Gagliardi, R. Genthon, M. Houot, A. Kas, F. Lamari, M. Levy, C. Metzinger, F. Mochel, F. Nyasse, C. Poisson, M.-C. Potier, M. Révillon, A. Santos, K. S. Andrade, M. Sole, M. Surtee, N. Younsi, M. Afshar, L. F. Aguilar, L. Akman-Anderson, J. Arenas, J. Avila, C. Babiloni, F. Baldacci, R. Batrla, N. Benda, K. Black, A. L. Bokde, U. Bonuccelli, K. Broich, F. Cacciola, F. Caraci, J. Castrillo, E. Cavedo, R. Ceravolo, P. A. Chiesa, J.-C. Corvol, A. C. Cuello, J. Cummings, H. Depypere, B. Dubois, A. Duggento, E. Emanuele, V. Escott-Price, H. Federoff, M. T. Ferretti, M. Fiandaca, R. Frank, F. Garaci, H. Geerts, F. Giorgi, E. J. Goetzl, M. Graziani, M. Haberkamp, M.-O. Habert, H. Hampel, K. Herholz, F. Hernandez, D. Kapogiannis, E. Karran, S. J. Kiddle, S. Kim, Y. Koronyo, M. Koronyo-Hamaoui, T. Langevin, S. Lehéricy, A. Lucia, S. Lista, J. Lorenceau, D. Mango, M. Mapstone, C. Neri, R. Nisticò, S. O’Bryant, G. Palermo, G. L. W. Perry, C. Ritchie, S. Rossi, A. Saidi, E. Santarnecchi, L. S. Schneider, O. Sporns, N. Toschi, S. R. Verdooner, A. Vergallo, N. Villain, L. Welikovitch, J. Woodcock, E. Younesi.
Differential default mode network trajectories in asymptomatic individuals at risk for Alzheimer's disease, in: Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, July 2019, vol. 15, no 7, pp. 940-950. [ DOI : 10.1016/j.jalz.2019.03.006 ]
https://hal.archives-ouvertes.fr/hal-02368904
[24]
S.-C. Villeneuve, M. Houot, F. Cacciamani, M. Verrijp, B. Dubois, S. Sikkes, S. Epelbaum.
Latent class analysis identifies functional decline with Amsterdam IADL in preclinical Alzheimer's disease, in: Alzheimer's and Dementia, 2019, vol. 5, pp. 553-562. [ DOI : 10.1016/j.trci.2019.08.009 ]
https://hal.archives-ouvertes.fr/hal-02333456
[25]
W. Wei, E. Poirion, B. Bodini, S. Durrleman, N. Ayache, B. Stankoff, O. Colliot.
Predicting PET-derived Demyelination from Multimodal MRI using Sketcher-Refiner Adversarial Training for Multiple Sclerosis, in: Medical Image Analysis, 2019, forthcoming. [ DOI : 10.1016/j.media.2019.101546 ]
https://hal.archives-ouvertes.fr/hal-02276634
[26]
W. Wei, E. Poirion, B. Bodini, S. Durrleman, O. Colliot, B. Stankoff, N. Ayache.
Fluid-attenuated inversion recovery MRI synthesis from multisequence MRI using three-dimensional fully convolutional networks for multiple sclerosis, in: Journal of Medical Imaging, February 2019, vol. 6, no 01. [ DOI : 10.1117/1.JMI.6.1.014005 ]
https://hal.inria.fr/hal-02042526
[27]
J. Wen, H. Zhang, D. C. Alexander, S. Durrleman, A. Routier, D. Rinaldi, M. Houot, P. Couratier, D. Hannequin, F. Pasquier, J. Zhang, O. Colliot, I. Le Ber, A. Bertrand.
Neurite density is reduced in the presymptomatic phase of C9orf72 disease, in: Journal of Neurology, Neurosurgery and Psychiatry, April 2019, vol. 90, no 4, pp. 387-94. [ DOI : 10.1136/jnnp-2018-318994 ]
https://hal.inria.fr/hal-01907482
[28]
L. Xicota, F. Ichou, F.-X. Lejeune, B. Colsch, A. Tenenhaus, I. Leroy, G. Fontaine, M. Lhomme, H. Bertin, M.-O. Habert, S. Epelbaum, B. Dubois, F. Mochel, M.-C. Potier.
Multi-omics signature of brain amyloid deposition in asymptomatic individuals at-risk for Alzheimer's disease: The INSIGHT-preAD study, in: EBioMedicine, 2019, vol. 47, pp. 518-528. [ DOI : 10.1016/j.ebiom.2019.08.051 ]
https://hal.sorbonne-universite.fr/hal-02305609

International Conferences with Proceedings

[29]
A. Bône, O. Colliot, S. Durrleman.
Auto-encoding meshes of any topology with the current-splatting and exponentiation layers, in: Geometry Meets Deep Learning @ ICCV 2019, Séoul, South Korea, October 2019.
https://hal.inria.fr/hal-02087586
[30]
A. Bône, M. Louis, O. Colliot, S. Durrleman.
Learning low-dimensional representations of shape data sets with diffeomorphic autoencoders, in: IPMI 2019 : Information Processing in Medical Imaging, Hong-Kong, China, June 2019, Auteur collectif : Alzheimer’s Disease Neuroimaging Initiative.
https://hal.inria.fr/hal-01963736
[31]
R. Couronne, M. Vidailhet, J.-C. Corvol, S. Lehéricy, S. Durrleman.
Learning disease progression models with longitudinal data and missing values, in: ISBI 2019 - International Symposium on Biomedical Imaging, Venice, Italy, April 2019.
https://hal.archives-ouvertes.fr/hal-02091571
[32]
Best Paper
V. Debavelaere, A. Bône, S. Durrleman, S. Allassonnière.
Clustering of longitudinal shape data sets using mixture of separate or branching trajectories, in: Medical Image Computing and Computer Assisted Intervention – MICCAI, Shenzhen, China, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, October 2019, pp. 66-74.
https://hal.archives-ouvertes.fr/hal-02103355
[33]
M. Louis, R. Couronne, I. Koval, B. Charlier, S. Durrleman.
Riemannian Geometry Learning for Disease Progression Modelling, in: Information Processing in Medical Imaging - IPMI 2019, Hong-Kong, China, May 2019, pp. 542-553. [ DOI : 10.1007/978-3-030-20351-1_42 ]
https://hal.inria.fr/hal-02429839
[34]
J. Samper-González, N. Burgos, S. Bottani, M.-O. Habert, T. Evgeniou, S. Epelbaum, O. Colliot.
Reproducible evaluation of methods for predicting progression to Alzheimer's disease from clinical and neuroimaging data, in: SPIE Medical Imaging 2019, San Diego, United States, February 2019.
https://hal.inria.fr/hal-02025880
[35]
E. Thibeau-Sutre, O. Colliot, D. Dormont, N. Burgos.
Visualization approach to assess the robustness of neural networks for medical image classification, in: SPIE Medical Imaging 2020, Houston, United States, February 2020, https://arxiv.org/abs/1911.08264.
https://hal.archives-ouvertes.fr/hal-02370532

Conferences without Proceedings

[36]
M. Ansart, N. Burgos, O. Colliot, D. Dormont, S. Durrleman.
Prediction of future cognitive scores and dementia onset in Mild Cognitive Impairment patients, in: OHBM 2019 - Organization for Human Brain Mapping Conference, Rome, Italy, June 2019.
https://hal.inria.fr/hal-02098427
[37]
G. Bassignana, J. Fransson, O. Colliot, V. Zujovic, F. de Vico Fallani.
Target controllability in genetic networks of macrophage activation, in: Netsci 2019, Burlington, United States, May 2019.
https://hal.archives-ouvertes.fr/hal-02314001
[38]
A. Bône, B. Martin, M. Louis, O. Colliot, S. Durrleman.
Hierarchical modeling of Alzheimer's disease progression from a large longitudinal MRI data set, in: OHBM 2019 - 25th Annual Meeting of the Organization for Human Brain Mapping, Roma, Italy, June 2019.
https://hal.inria.fr/hal-02090275
[39]
M.-C. Corsi, M. Chavez, D. P. Schwartz, N. George, L. Hugueville, A. E. Kahn, S. Dupont, D. S. Bassett, F. De Vico Fallani.
Looking for cortical patterns of successful motor imagery-based BCI learning, in: 8th Graz Brain-Computer Interface Conference 2019, Graz, Austria, September 2019.
https://hal.archives-ouvertes.fr/hal-02123582
[40]
M.-C. Corsi, M. Chavez, D. Schwartz, N. George, L. Hugueville, A. E. Kahn, S. Dupont, D. S. Bassett, F. De Vico Fallani.
Looking for neurophysiological correlates of brain-computer interface learning, in: OHBM 2019 - Annual Meeting on Organization for Human Brain Mapping, Rome, Italy, June 2019.
https://hal.archives-ouvertes.fr/hal-02157179
[41]
R. Couronne, M. Vidailhet, G. Mangone, S. Lehéricy, S. Durrleman.
Motor abnormalities progression in prodromal PD, in: AD/PD 2019 - 14th International Conference on Alzheimer's and Parkinson's Diseases and related neurological disorders, Lisbon, Portugal, March 2019.
https://hal.archives-ouvertes.fr/hal-02276297
[42]
C. Cury, M. A. Scelzi, R. Toro, V. Frouin, E. Artiges, A. Heinz, H. W. Walter, H. Lemaître, J.-L. Martinot, J.-B. Poline, M. N. Smolka, G. Schumann, A. Altmann, O. Colliot.
On the genetic bases of incomplete hippocampal inversion: a genome-wide association study, in: OHBM 2019 - Annual Meeting on Organization for Human Brain Mapping, Rome, Italy, June 2019, 1 p.
https://www.hal.inserm.fr/inserm-02074616
[43]
J. Faouzi, S. Bekadar, O. Colliot, J.-C. Corvol.
Predicting Impulse Control Disorders in Parkinson's Disease: A Challenging Task, in: International Congress of Parkinson's Disease and Movement Disorders, Nice, France, September 2019.
https://hal.inria.fr/hal-02315533
[44]
V. J. Henry, G. Bassignana, V. Zujovic, F. De Vico Fallani, O. Dameron, I. Moszer, O. Colliot.
Conciliation of process description and molecular interaction networks using logical properties of ontology, in: JOBIM 2019 - Journées Ouvertes Biologie, Informatique et Mathématiques, Nantes, France, July 2019.
https://hal.archives-ouvertes.fr/hal-02301702
[45]
I. Koval, A. Marcoux, N. Burgos, S. Allassonnière, O. Colliot, S. Durrleman.
Deciphering the progression of PET alterations using surface-based spatiotemporal modeling, in: OHBM 2019 - Annual meeting of the Organization for Human Brain Mapping, Rome, Italy, June 2019.
https://hal.inria.fr/hal-02134909
[46]
A. Routier, M.-O. Habert, A. Bertrand, A. Kas, P.-M. David, H. Bertin, O. Godefroy, F. Etcharry-Bouyx, O. Moreaud, F. Pasquier, P. Couratier, K. Bennys, C. Boutoleau-Bretonnière, O. Martinaud, B. Laurent, J. Pariente, M. Puel, S. Belliard, R. Migliaccio, B. Dubois, O. Colliot, M. Teichmann.
New advances in the Clinica software platform for clinical neuroimaging studies, in: Annual meeting of the Organization for Human Brain Mapping - OHBM 2019, Roma, Italy, June 2019.
https://hal.inria.fr/hal-01764289
[47]
A. Routier, A. Marcoux, M. Diaz Melo, J. Guillon, J. Samper-González, J. Wen, S. Bottani, A. Guyot, E. Thibeau-Sutre, M. Teichmann, M.-O. Habert, S. Durrleman, N. Burgos, O. Colliot.
New advances in the Clinica software platform for clinical neuroimaging studies, in: OHBM 2019 - Annual Meeting on Organization for Human Brain Mapping, Roma, Italy, June 2019. [ DOI : 10.1016/j.neuroimage.2011.09.015 ]
https://hal.inria.fr/hal-02132147
[48]
J. Samper-González, N. Burgos, S. Bottani, M.-O. Habert, T. Evgeniou, S. Epelbaum, O. Colliot.
Predicting progression to Alzheimer’s disease from clinical and imaging data: a reproducible study, in: OHBM 2019 - Organization for Human Brain Mapping Annual Meeting 2019, Rome, Italy, June 2019.
https://hal.inria.fr/hal-02142315
[49]
J. Wen, J. Samper-González​, A. M. Routier, S. Bottani​, S. Durrleman​, N. Burgos, O. Colliot.
Beware of feature selection bias! Example on Alzheimer's disease classification from diffusion MRI, in: 2019 OHBM Annual Meeting - Organization for Human Brain Mapping, Rome, Italy, June 2019.
https://hal.inria.fr/hal-02105134
[50]
J. Wen, E. Thibeau-Sutre, J. Samper-González​, A. M. Routier, S. Bottani​, D. Dormont​, S. Durrleman, O. Colliot, N. Burgos.
How serious is data leakage in deep learning studies on Alzheimer's disease classification?, in: 2019 OHBM Annual meeting - Organization for Human Brain Mapping, Rome, Italy, June 2019.
https://hal.inria.fr/hal-02105133

Scientific Books (or Scientific Book chapters)

[51]
N. Burgos, A. A. Gooya, D. Svoboda.
Simulation and Synthesis in Medical Imaging : 4th International Workshop, SASHIMI 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings, Springer, 2019, vol. Lecture Notes in Computer Science, no 11827. [ DOI : 10.1007/978-3-030-32778-1 ]
https://hal.inria.fr/hal-02422136

Books or Proceedings Editing

[52]
D. Zhu, J. Yan, S. Durrleman, S. Sommer, H. Huang, L. Shen, P. M. Thompson, C.-F. Westin, X. Pennec, S. Joshi, M. Nielsen, T. Fletcher (editors)
Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy : 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings, Lecture Notes in Computer Science (LNCS), Springer, October 2019, vol. 11846. [ DOI : 10.1007/978-3-030-33226-6 ]
https://hal.inria.fr/hal-02341877

Scientific Popularization

[53]
O. Colliot.
Interpretable and reliable artificial intelligence systems for brain diseases, in: ERCIM News, July 2019, vol. 118.
https://hal.inria.fr/hal-02178901

Other Publications

[54]
M. Ansart, S. Epelbaum, G. Bassignana, A. Bône, S. Bottani, T. Cattai, R. Couronne, J. Faouzi, I. Koval, M. Louis, E. Thibeau-Sutre, J. Wen, A. Wild, N. Burgos, D. Dormont, O. Colliot, S. Durrleman.
Predicting the Progression of Mild Cognitive Impairment Using Machine Learning: A Systematic and Quantitative Review, October 2019, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-02337815
[55]
A. Bône, O. Colliot, S. Durrleman.
Learning the spatiotemporal variability in longitudinal shape data sets, October 2019, working paper or preprint.
https://hal.inria.fr/hal-02091549
[56]
R. Couronne, M. Louis, S. Durrleman.
Longitudinal autoencoder for multi-modal disease progression modelling, April 2019, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-02090886
[57]
C. Cury, J. A. Glaunès, R. Toro, M. Chupin, G. D. Schumann, V. Frouin, J. B. Poline, O. Colliot.
Statistical shape analysis of large datasets based on diffeomorphic iterative centroids, February 2019, working paper or preprint. [ DOI : 10.1101/363861 ]
https://hal.inria.fr/hal-01832191
[58]
V. Debavelaere, S. Durrleman, S. Allassonnière.
Learning the clustering of longitudinal shape data sets into a mixture of independent or branching trajectories, September 2019, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-02283747
[59]
A. Guyot, A. B. Graciano Fouquier, E. Gerardin, M. Chupin, J. Glaunès, L. Marrakchi-Kacem, J. Germain, C. Boutet, C. Cury, L. Hertz-Pannier, A. Vignaud, S. Durrleman, T. Henry, P.-F. Van De Moortele, A. Trouvé, O. Colliot.
A Diffeomorphic Vector Field Approach to Analyze the Thickness of the Hippocampus from 7T MRI, November 2019, working paper or preprint.
https://hal.inria.fr/hal-02359660
[60]
I. Koval, S. Allassonnière, S. Durrleman.
Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects, April 2019, https://arxiv.org/abs/1904.02921 - working paper or preprint.
https://hal.archives-ouvertes.fr/hal-02089881
[61]
M. Louis, R. Couronne, I. Koval, B. Charlier, S. Durrleman.
Riemannian geometry learning for disease progression modelling, April 2019, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-02079820
[62]
P. Lu, O. Colliot.
A log-logistic survival model from multimodal data for prediction of Alzheimer's Disease, April 2019, SAfJR 2019 - Survival Analysis for Junior Researchers, Poster.
https://hal.inria.fr/hal-02430943
[63]
A. Routier, N. Burgos, J. Guillon, J. Samper-González, J. Wen, S. Bottani, A. Marcoux, M. Bacci, S. Fontanella, T. Jacquemont, A. Wild, P. Gori, A. Guyot, P. Lu, M. Díaz, E. Thibeau-Sutre, T. Moreau, M. Teichmann, M.-O. Habert, S. Durrleman, O. Colliot.
Clinica: an open source software platform for reproducible clinical neuroscience studies, October 2019, working paper or preprint.
https://hal.inria.fr/hal-02308126