TY  - JOUR 
AU  - Nan, Yang
AU  - Herrera Triguero, Francisco
PY  - 2022
UR  - http://hdl.handle.net/10481/74733
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
PB  - Elsevier
KW  - Information fusion
KW  - Data harmonisation
KW  - Data standardisation
KW  - Domain adaptation
KW  - Reproducibility
TI  - Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions
DO  - 10.1016/j.inffus.2022.01.001
ER  -