Mark A. van Buchem

发表

Improving information quality of MR brain images by fully automatic and robust image analysis methods

Ahmet Ekin, Radu S. Jasinschi, Jeroen van der Grond, 2007 .

Practice effects in the brain: Changes in cerebral activation after working memory practice depend on task demands

Serge A. R. B. Rombouts, Mark A. van Buchem, Dietsje D. Jolles, 2010, NeuroImage.

Multiple sclerosis lesion quantification using fuzzy-connectedness principles

Supun Samarasekera, Jayaram K. Udupa, Mark A. van Buchem, 1997, IEEE Transactions on Medical Imaging.

Origin and reduction of motion and f0 artifacts in high resolution T2*-weighted magnetic resonance imaging: Application in Alzheimer's disease patients

Andrew G. Webb, Jeroen van der Grond, Mark A. van Buchem, 2010, NeuroImage.

Automatic morphological assessment in a transgenic CACNA1A knockin migraine mouse model in in-vivo high-resolution MRM

Johan H. C. Reiber, Mark A. van Buchem, Faiza Admiraal-Behloul, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

MT: magnetization transfer

Mark A. van Buchem, Paul S. Tofts, Stefan C. A. Steens, 2003 .

Shape differences of the brain ventricles in Alzheimer's disease

Johan H. C. Reiber, Mark A. van Buchem, Luca Ferrarini, 2006, NeuroImage.

Non-parametric model selection for subject-specific topological organization of resting-state functional connectivity

Julien Milles, Johan H. C. Reiber, Baldur van Lew, 2011, NeuroImage.

Increased Functional Connectivity and Brain Atrophy in Elderly with Subjective Memory Complaints

Anne Hafkemeijer, Serge A. R. B. Rombouts, Mark A. van Buchem, 2013, Brain Connect..

Matching MTR histograms for multi-centre studies

Jamshid Dehmeshki, Mark A. van Buchem, Paul Stephen Toffs, 2001 .

Beyond acute social stress: Increased functional connectivity between amygdala and cortical midline structures

Ilya M. Veer, Serge A. R. B. Rombouts, Mark A. van Buchem, 2011, NeuroImage.

Functional Connectivity Changes and Executive and Social Problems in Neurofibromatosis Type I

Ilya M. Veer, Reinhold Schmidt, Serge A. R. B. Rombouts, 2015, Brain Connect..

Ketamine interactions with biomarkers of stress: A randomized placebo-controlled repeated measures resting-state fMRI and PCASL pilot study in healthy men

Ilya M. Veer, Serge A. R. B. Rombouts, Mark A. van Buchem, 2015, NeuroImage.

Monitoring blood flow alterations in the Tg2576 mouse model of Alzheimer's disease by in vivo magnetic resonance angiography at 17.6T

Mark A. van Buchem, Reinhard Schliebs, F. Kara, 2012, NeuroImage.

Deformation texture-based features for classification in Alzheimer's disease

Boudewijn P. F. Lelieveldt, Julien Milles, Johan H. C. Reiber, 2013, Medical Imaging.

Fast shape-directed landmark-based deep gray matter segmentation for quantification of iron deposition

Ahmet Ekin, Jeroen van der Grond, Mark A. van Buchem, 2006, SPIE Medical Imaging.

The impact of “physiological correction” on functional connectivity analysis of pharmacological resting state fMRI

Ilya M. Veer, Serge A. R. B. Rombouts, Mark A. van Buchem, 2013, NeuroImage.

Fully Automatic Shape Modelling Using Growing Cell Neural Networks

Johan H. C. Reiber, Mark A. van Buchem, Luca Ferrarini, 2005, MICCAI.

MMSE scores correlate with local ventricular enlargement in the spectrum from cognitively normal to Alzheimer disease

Johan H. C. Reiber, Mark A. van Buchem, Luca Ferrarini, 2008, NeuroImage.

Fully automatic segmentation of white matter hyperintensities in MR images of the elderly

Johan H. C. Reiber, Mark A. van Buchem, Matthias J. P. van Osch, 2005, NeuroImage.

Elevated brain iron is independent from atrophy in Huntington's Disease

Andrew G. Webb, Mark A. van Buchem, Matthias J. P. van Osch, 2012, NeuroImage.

Simultaneous Brain Structures Segmentation Combining Shape and Pose Forces

Julien Milles, Andrew G. Webb, Radu S. Jasinschi, 2011, MBIA.

Quantitative Methods for Comparisons between Velocity Encoded MR-Measurements and Finite Element Modeling in Phantom Models

Johan H. C. Reiber, Rob J. van der Geest, Marcel C. M. Rutten, 2002, International Conference on Computational Science.

The AGES‐Reykjavik study atlases: Non‐linear multi‐spectral template and atlases for studies of the ageing brain

Jesper Fredriksson, Alex P. Zijdenbos, Mark A. van Buchem, 2017, Medical Image Anal..

Detection and quantification of MS lesions using fuzzy topological principles

Supun Samarasekera, Jayaram K. Udupa, Mark A. van Buchem, 1996, Medical Imaging.

Brain tissue volumes in the general population of the elderly The AGES-Reykjavik Study

Jesper Fredriksson, Alex P. Zijdenbos, Mark A. van Buchem, 2012, NeuroImage.

GAMEs: Growing and adaptive meshes for fully automatic shape modeling and analysis

Mark A. van Buchem, Luca Ferrarini, Hans Olofsen, 2007, Medical Image Anal..

Ultra-long-TE arterial spin labeling reveals rapid and brain-wide blood-to-CSF water transport in humans

Jack A. Wells, Mark A. van Buchem, Lydiane Hirschler, 2021, NeuroImage.

Evidence for smaller right amygdala volumes in posttraumatic stress disorder following childhood trauma

Ilya M. Veer, Mark A. van Buchem, Philip Spinhoven, 2015, Psychiatry Research: Neuroimaging.

Comparison of T 2 Lesion Volume and Magnetization Transfer Ratio Histogram Analysis and of Atrophy and Measures of Lesion Burden in Patients with Multiple Sclerosis

Jayaram K. Udupa, Mark A. van Buchem, Yukio Miki, 1998 .

Recent Advances in Visualizing Alzheimer's Plaques by Magnetic Reso- nance Imaging

Mark A. van Buchem, Reinhard Schliebs, M. Buchem, 2009 .

Endogenous cortisol is associated with functional connectivity between the amygdala and medial prefrontal cortex

Ilya M. Veer, Mark A. van Buchem, Philip Spinhoven, 2012, Psychoneuroendocrinology.