Contribution and performance of multimodal imaging in the diagnosis and management of cardiac masses

M Lemasle, Y Lavie Badie, E Cariou, P Fournier… - … Cardiovascular Imaging, 2020 - Springer
To evaluate the contribution and performance of multimodal imaging in the diagnostic and
therapeutic management of cardiac masses. We carried out a monocentric retrospective study …

Multimodal imaging of functional networks and event-related potentials in performance monitoring

RJ Huster, T Eichele, S Enriquez-Geppert, A Wollbrink… - Neuroimage, 2011 - Elsevier
… In order to demonstrate the added value of the multimodal imagingcontributions and
the underlying functional networks associated with ERP-complexes related to performance

Multimodality imaging of dementia: clinical importance and role of integrated anatomic and molecular imaging

KP Patel, DT Wymer, VK Bhatia, R Duara… - Radiographics, 2020 - pubs.rsna.org
… At our institution, we recommend that the first step in evaluation should be performing
dedicated structural imaging for all patients with a suspected dementing neurodegenerative …

Role of multimodality imaging in the diagnosis and management of cardiomyopathies

S Ederhy, N Mansencal, P Réant, N Piriou… - Archives of …, 2019 - Elsevier
… In order to improve diagnostic performance, and as proposed by the European Association
… , oedema or infiltration) that can contribute to a positive diagnosis, differential diagnosis and …

Multimodality imaging and artificial intelligence for tumor characterization: current status and future perspective

J Dana, V Agnus, F Ouhmich, B Gallix - Seminars in nuclear medicine, 2020 - Elsevier
… The contribution of medical imaging to personalized medicine will rely largely on …
multimodal cross-sectional imaging has been attempting to design reproducible and high-performance

Multimodal imaging signatures of Parkinson's disease

FDB Bowman, DF Drake, DE Huddleston - Frontiers in neuroscience, 2016 - frontiersin.org
… Our approach builds on elastic net, performing regularization and … We conduct a novel
multimodal imaging investigation that … We aim to contribute to PD biomarker discovery efforts by …

Semi-supervised multimodal relevance vector regression improves cognitive performance estimation from imaging and biological biomarkers

B Cheng, D Zhang, S Chen, DI Kaufer, D Shen… - Neuroinformatics, 2013 - Springer
multimodal relevance vector regression (SM-RVR) method for predicting clinical scores of
neurological diseases from multimodal imaging … able to investigate the contribution of those …

Multimodal imaging in Alzheimer's disease: validity and usefulness for early detection

S Teipel, A Drzezga, MJ Grothe, H Barthel… - The Lancet …, 2015 - thelancet.com
… or multimodal imaging markers is being investigated in selected patient samples from clinical
expert centres, but additional research is needed before these promising imaging markers …

A task-based approach to adaptive and multimodality imaging

E Clarkson, MA Kupinski, HH Barrett… - Proceedings of the …, 2008 - ieeexplore.ieee.org
multimodality imaging and adaptive imaging. In adaptive imaging [7], [8], multiple images
are … Performance Assessment We will discuss performance assessment as it relates to both …

Multimodal imaging: an evaluation of univariate and multivariate methods for simultaneous EEG/fMRI

F De Martino, G Valente, AW de Borst… - … resonance imaging, 2010 - Elsevier
… We also show similar prediction performances when the … After the training phase a map
depicting the contribution of each … A map depicting the contribution of each voxel to the learned …