TY  - JOUR
AU  - Nan, Yang
AU  - Ser, Javier Del
AU  - Walsh, Simon
AU  - Schönlieb, Carola
AU  - Roberts, Michael
AU  - Selby, Ian
AU  - Howard, Kit
AU  - Owen, John
AU  - Neville, Jon
AU  - Guiot, Julien
AU  - Ernst, Benoit
AU  - Pastor, Ana
AU  - Alberich-Bayarri, Angel
AU  - Menzel, Marion I.
AU  - Walsh, Sean
AU  - Vos, Wim
AU  - Flerin, Nina
AU  - Charbonnier, Jean-Paul
AU  - van Rikxoort, Eva
AU  - Chatterjee, Avishek
AU  - Woodruff, Henry
AU  - Lambin, Philippe
AU  - Cerdá-Alberich, Leonor
AU  - Martí-Bonmatí, Luis
AU  - Herrera, Francisco
AU  - Yang, Guang
PY  - 2022
DO  - 10.1016/j.inffus.2022.01.001
SN  - 1566-2535
AB  - Removing the bias and variance of multicentre data has always been a challenge in large scale digital healthcare studies, which requires the ability to integrate clinical features extracted from data acquired by different scanners and protocols to...
LA  - eng
TI  - Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions: 												A state-of-the-art systematic review, meta-analysis and future research directions
TY  - journal article
ER  -