|LCC-Demons: a robust and accurate symmetric diffeomorphic registration algorithm|
M Lorenzi, N Ayache, GB Frisoni, X Pennec, ...
NeuroImage 81, 470-483, 2013
|In vivo mapping of amyloid toxicity in Alzheimer disease|
GB Frisoni, M Lorenzi, A Caroli, N Kemppainen, K Någren, JO Rinne
Neurology 72 (17), 1504-1511, 2009
|Schild’s ladder for the parallel transport of deformations in time series of images|
M Lorenzi, N Ayache, X Pennec
Biennial international conference on information processing in medical …, 2011
|Geodesics, parallel transport & one-parameter subgroups for diffeomorphic image registration|
M Lorenzi, X Pennec
International journal of computer vision 105 (2), 111-127, 2013
|Probabilistic disease progression modeling to characterize diagnostic uncertainty: application to staging and prediction in Alzheimer's disease|
M Lorenzi, M Filippone, GB Frisoni, DC Alexander, S Ourselin, ...
NeuroImage 190, 56-68, 2019
|Disentangling normal aging from Alzheimer's disease in structural magnetic resonance images|
M Lorenzi, X Pennec, GB Frisoni, N Ayache, ...
Neurobiology of aging 36, S42-S52, 2015
|Enrichment through biomarkers in clinical trials of Alzheimer's drugs in patients with mild cognitive impairment|
M Lorenzi, M Donohue, D Paternico, C Scarpazza, S Ostrowitzki, O Blin, ...
Neurobiology of aging 31 (8), 1443-1451. e1, 2010
|Assessing atrophy measurement techniques in dementia: results from the MIRIAD atrophy challenge|
DM Cash, C Frost, LO Iheme, D Ünay, M Kandemir, J Fripp, O Salvado, ...
Neuroimage 123, 149-164, 2015
|Effect of memantine on resting state default mode network activity in Alzheimer’s disease|
M Lorenzi, A Beltramello, NB Mercuri, E Canu, G Zoccatelli, FB Pizzini, ...
Drugs & aging 28 (3), 205-217, 2011
|Efficient parallel transport of deformations in time series of images: from Schild’s to pole ladder|
M Lorenzi, X Pennec
Journal of mathematical imaging and vision 50 (1), 5-17, 2014
|Structural brain features of borderline personality and bipolar disorders|
R Rossi, M Pievani, M Lorenzi, M Boccardi, R Beneduce, S Bignotti, ...
Psychiatry Research: Neuroimaging 213 (2), 83-91, 2013
|Mapping the Effects of Aβ 1 − 42 Levels on the Longitudinal Changes in Healthy Aging: Hierarchical Modeling Based on Stationary Velocity Fields|
M Lorenzi, N Ayache, GB Frisoni, X Pennec
International Conference on Medical Image Computing and Computer-Assisted …, 2011
|4D registration of serial brain’s MR images: a robust measure of changes applied to Alzheimer’s disease|
M Lorenzi, N Ayache, G Frisoni, X Pennec
Spatio Temporal Image Analysis Workshop (STIA), MICCAI 1, 2010
|Longitudinal analysis of image time series with diffeomorphic deformations: a computational framework based on stationary velocity fields|
M Hadj-Hamou, M Lorenzi, N Ayache, X Pennec
Frontiers in neuroscience 10, 236, 2016
|A biophysical model of brain deformation to simulate and analyze longitudinal MRIs of patients with Alzheimer's disease|
B Khanal, M Lorenzi, N Ayache, X Pennec
NeuroImage 134, 35-52, 2016
|Genetic study of multimodal imaging Alzheimer’s disease progression score implicates novel loci|
MA Scelsi, RR Khan, M Lorenzi, L Christopher, MD Greicius, JM Schott, ...
Brain 141 (7), 2167-2180, 2018
|Efficient Gaussian process-based modelling and prediction of image time series|
M Lorenzi, G Ziegler, DC Alexander, S Ourselin
International Conference on Information Processing in Medical Imaging, 626-637, 2015
|DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders|
RV Marinescu, A Eshaghi, M Lorenzi, AL Young, NP Oxtoby, S Garbarino, ...
NeuroImage 192, 166-177, 2019
|Federated learning in distributed medical databases: Meta-analysis of large-scale subcortical brain data|
S Silva, BA Gutman, E Romero, PM Thompson, A Altmann, M Lorenzi
2019 IEEE 16th international symposium on biomedical imaging (ISBI 2019 …, 2019
|Selection bias in the reported performances of AD classification pipelines|
AF Mendelson, MA Zuluaga, M Lorenzi, BF Hutton, S Ourselin, ...
NeuroImage: Clinical 14, 400-416, 2017