Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal

Scanner invariant representations for diffusion MRI harmonization

(2020) Daniel Moyer et al.   MAGNETIC RESONANCE IN MEDICINE

FastSurfer - A fast and accurate deep learning based neuroimaging pipeline

(2020) Leonie Henschel et al.   NEUROIMAGE

Neuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners

(2020) Rafael Garcia-Dias et al.   NEUROIMAGE

Multi-Site Harmonization of Diffusion MRI Data via Method of Moments

(2019) Khoi Minh Huynh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

DeepHarmony: A deep learning approach to contrast harmonization across scanner changes

(2019) Blake E. Dewey et al.   MAGNETIC RESONANCE IMAGING

Ten Years of BrainAGE as a Neuroimaging Biomarker of Brain Aging: What Insights Have We Gained?

(2019) Katja Franke et al.   Frontiers in Neurology

Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan

(2019) Raymond Pomponio et al.   NEUROIMAGE

Statistical harmonization corrects site effects in functional connectivity measurements from multi-site fMRI data

(2018) Meichen Yu et al.   HUMAN BRAIN MAPPING

Retrospective harmonization of multi-site diffusion MRI data acquired with different acquisition parameters

(2018) Suheyla Cetin Karayumak et al.   NEUROIMAGE

Harmonization of multi-site diffusion tensor imaging data

(2017) Jean-Philippe Fortin et al.   NEUROIMAGE

Domain adaptation for Alzheimer's disease diagnostics

(2016) Christian Wachinger et al.   NEUROIMAGE

Inter-site and inter-scanner diffusion MRI data harmonization

(2016) H. Mirzaalian et al.   NEUROIMAGE

Study protocol: the Whitehall II imaging sub-study

(2014) Nicola Filippini et al.   BMC Psychiatry

Effect of scanner in longitudinal studies of brain volume changes

(2011) Hidemasa Takao et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: Exploring the influence of various parameters

(2010) Katja Franke et al.   NEUROIMAGE

A theory of learning from different domains

(2009) Shai Ben-David et al.   MACHINE LEARNING

The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods

(2008) Clifford R. Jack et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING