Browse by UCL people
Group by: Type | Date
Number of items: 14.
Article
Cash, DM;
Frost, C;
Iheme, LO;
Ünay, D;
Kandemir, M;
Fripp, J;
Salvado, O;
... Ourselin, S; + view all
(2015)
Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge.
Neuroimage
, 123
pp. 149-164.
10.1016/j.neuroimage.2015.07.087.
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Ferraris, S;
van der Merwe, J;
Van Der Veeken, L;
Prados, F;
Iglesias, J-E;
Melbourne, A;
Lorenzi, M;
... Vercauteren, T; + view all
(2018)
A magnetic resonance multi-atlas for the neonatal rabbit brain.
NeuroImage
, 179
pp. 187-198.
10.1016/j.neuroimage.2018.06.029.
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Lorenzi, M;
Altmann, A;
Gutman, B;
Wray, S;
Arber, C;
Hibar, D;
Jahanshad, N;
... Ourselin, S; + view all
(2018)
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)
pp. 3162-3167.
10.1073/pnas.1706100115.
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Lorenzi, M;
Filippone, M;
Frisoni, GB;
Alexander, DC;
Ourselin, S;
Alzheimer's Disease Neuroimaging Initiative, .;
(2019)
Probabilistic disease progression modeling to characterize diagnostic uncertainty: Application to staging and prediction in Alzheimer's disease.
NeuroImage
, 190
pp. 56-68.
10.1016/j.neuroimage.2017.08.059.
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Lorenzi, M;
Simpson, IJ;
Mendelson, AF;
Vos, SB;
Cardoso, MJ;
Modat, M;
Schott, JM;
(2016)
Multimodal Image Analysis in Alzheimer's Disease via Statistical Modelling of Non-local Intensity Correlations.
Scientific Reports
, 6
, Article 22161. 10.1038/srep22161.
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Mendelson, AF;
Zuluaga, MA;
Lorenzi, M;
Hutton, BF;
Ourselin, S;
Alzheimer's Disease Neuroimaging Initiative, .;
(2017)
Selection bias in the reported performances of AD classification pipelines.
NeuroImage: Clinical
, 14
pp. 400-416.
10.1016/j.nicl.2016.12.018.
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Scelsi, MA;
Khan, RR;
Lorenzi, M;
Christopher, L;
Greicius, MD;
Schott, J;
Ourselin, S;
(2018)
Genetic study of multimodal imaging Alzheimer’s disease progression score implicates novel loci.
Brain
, 141
(7)
10.1093/brain/awy141.
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Proceedings paper
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Ferraris, S;
Lorenzi, M;
Daga, P;
Modat, M;
Vercauteren, T;
(2016)
Accurate Small Deformation Exponential Approximant to Integrate Large Velocity Fields: Application to Image Registration.
In:
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
(pp. pp. 457-464).
IEEE: Las Vegas, NV, USA.
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Iglesias, JE;
Lorenzi, M;
Ferraris, S;
Peter, L;
Modat, M;
Stevens, A;
Fischl, B;
(2018)
Model-based refinement of nonlinear registrations in 3D histology reconstruction.
In: Frangi, AF and Schnabel, JA and Davatzikos, C and Alberola-López, C and Fichtinger, G, (eds.)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018: 21st International Conference, Proceedings, Part II.
(pp. pp. 147-155).
Springer: Cham, Switzerland.
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Lorenzi, M;
Gutman, B;
Hibar, DP;
Altmann, A;
Jahanshad, N;
Thompson, PM;
Ourselin, S;
(2016)
Partial least squares modelling for imaging-genetics in Alzheimer's disease: Plausibility and generalization.
In:
Proceedings of the 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).
(pp. pp. 838-841).
IEEE: Prague, Czech Republic.
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Lorenzi, M;
Gutman, B;
Thompson, PM;
Alexander, DC;
Ourselin, S;
Altmann, A;
(2017)
Secure multivariate large-scale multi-centric analysis through on-line learning: an imaging genetics case study.
In:
Proceedings of the 12th International Symposium on Medical Information Processing and Analysis.
(pp. p. 101601).
Society of Photo-Optical Instrumentation Engineers
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Marinescu, RV;
Eshaghi, A;
Lorenzi, M;
Young, AL;
Oxtoby, NP;
Garbarino, S;
Shakespeare, TJ;
... Alexander, DC; + view all
(2017)
A vertex clustering model for disease progression: Application to cortical thickness images.
In: Hutchison, David and Kanade, Takeo and Kittler, Josef and Kleinberg, Jon M. and Mattern, Friedemann and Mitchell, John C. and Naor, Moni and Rangan, C. Pandu and Steffen, Bernhard and Terzopoulos, Demetri and Tygar, Doug and Weikum, Gerhard, (eds.)
Information Processing in Medical Imaging. IPMI 2017. Lecture Notes in Computer Science.
(pp. pp. 134-145).
Springer: Cham, Switzerland.
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Orasanu, E;
Bazin, PL;
Melbourne, A;
Lorenzi, M;
Lombaert, H;
Robertson, NJ;
Kendall, G;
... Ourselin, S; + view all
(2016)
Longitudinal analysis of the preterm cortex using multi-modal spectral matching.
In: Ourselin, S and Joskowicz, J and Sabuncu, MR and Unal, G and Wells, W, (eds.)
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016.
(pp. pp. 255-263).
Springer International Publishing AG
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Thesis
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Lorenzi, M;
(2012)
Deformation-based morphometry of the brain for the development of surrogate markers in Alzheimer’s disease.
Doctoral thesis , UNSPECIFIED.
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