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Information Processing in Medical Imaging : Proceedings of the ... Conference|July 30, 2015
Efficient Gaussian Process-Based Modelling and Prediction of Image Time SeriesMarco Lorenzi, Gabriel Ziegler, Daniel C Alexander, et al.
Neuroimage|October 29, 2017
Probabilistic disease progression modeling to characterize diagnostic uncertainty: Application to staging and prediction in Alzheimer's diseaseMarco Lorenzi, Maurizio Filippone, Giovanni B Frisoni, et al.
Medical Image Analysis|December 1, 2020
Improving statistical power of glaucoma clinical trials using an ensemble of cyclical generative adversarial networksGeorgios Lazaridis, Marco Lorenzi, Sebastien Ourselin, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 8, 2018
Susceptibility of brain atrophy to <i>TRIB3</i> in Alzheimer's disease, evidence from functional prioritization in imaging geneticsMarco Lorenzi, Andre Altmann, Boris Gutman, et al.
Medical Image Analysis|September 11, 2015
A simulation system for biomarker evolution in neurodegenerative diseaseAlexandra L Young, Neil P Oxtoby, Sebastien Ourselin, et al.
American Journal of Ophthalmology|January 9, 2022
Predicting Visual Fields From Optical Coherence Tomography via an Ensemble of Deep Representation LearnersGeorgios Lazaridis, Giovanni Montesano, Saman Sadeghi Afgeh, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 30, 2015
A Riemannian Framework for Intrinsic Comparison of Closed Genus-Zero ShapesBoris A Gutman, P Thomas Fletcher, M Jorge Cardoso, et al.
Human Brain Mapping|June 7, 2019
Modeling longitudinal imaging biomarkers with parametric Bayesian multi-task learningLeon M Aksman, Marzia A Scelsi, Andre F Marquand, et al.
Ophthalmology. Glaucoma|October 18, 2020
OCT Signal Enhancement with Deep LearningGeorgios Lazaridis, Marco Lorenzi, Jibran Mohamed-Noriega, et al.
Brain : a Journal of Neurology|June 4, 2018
Genetic study of multimodal imaging Alzheimer's disease progression score implicates novel lociMarzia A Scelsi, Raiyan R Khan, Marco Lorenzi, et al.
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