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John-Paul Taylor
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2020 – today
- 2022
- [c2]Petter Minne, Alvaro Fernandez-Quilez, Dag Aarsland, Daniel Ferreira, Eric Westman, Afina W. Lemstra
, Mara Ten Kate, Alessandro Padovani
, Irene Rektorova, Laura Bonanni, Flavio Nobili, Milica G. Kramberger, John-Paul Taylor, Jakub Hort, Jón Snædal, Frédéric Blanc, Angelo Antonini, Ketil Oppedal:
A study on 3D classical versus GAN-based augmentation for MRI brain image to predict the diagnosis of dementia with Lewy bodies and Alzheimer's disease in a European multi-center study. Medical Imaging: Computer-Aided Diagnosis 2022 - 2020
- [j1]Gustav Mårtensson
, Daniel Ferreira
, Tobias Granberg, Lena Cavallin, Ketil Oppedal, Alessandro Padovani
, Irena Rektorová
, Laura Bonanni, Matteo Pardini
, Milica G. Kramberger, John-Paul Taylor
, Jakub Hort
, Jón Snædal, Jaime Kulisevsky
, Frédéric Blanc, Angelo Antonini
, Patrizia Mecocci, Bruno Vellas, Eric Westman
:
The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study. Medical Image Anal. 66: 101714 (2020)
2010 – 2019
- 2019
- [i1]Gustav Mårtensson, Daniel Ferreira, Tobias Granberg, Lena Cavallin, Ketil Oppedal, Alessandro Padovani, Irena Rektorová, Laura Bonanni, Matteo Pardini, Milica G. Kramberger, John-Paul Taylor, Jakub Hort, Jón Snædal, Jaime Kulisevsky, Frédéric Blanc, Angelo Antonini, Patrizia Mecocci, Bruno Vellas, Magda Tsolaki, Iwona Kloszewska, Hilkka Soininen, Simon Lovestone, Andrew Simmons, Dag Aarsland, Eric Westman:
The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study. CoRR abs/1911.00515 (2019) - 2014
- [c1]Cheol E. Han
, Luis R. Peraza
, John-Paul Taylor
, Marcus Kaiser
:
Predicting age across human lifespan based on structural connectivity from diffusion tensor imaging. BioCAS 2014: 137-140
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last updated on 2024-07-27 17:30 CEST by the dblp team
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