Simon J. Francis
According to our database1,
Simon J. Francis
authored at least 13 papers
between 2002 and 2013.
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Bibliography
2013
Review of automatic segmentation methods of multiple sclerosis white matter lesions on conventional magnetic resonance imaging.
Medical Image Anal., 2013
2012
Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI Using Conditional Random Fields.
IEEE Trans. Medical Imaging, 2012
2011
Medical Image Anal., 2011
Adapted MRF Segmentation of Multiple Sclerosis Lesions Using Local Contextual Information.
Proceedings of the Medical Image Understanding and Analysis, 2011
2010
Evaluation of automated techniques for the quantification of grey matter atrophy in patients with multiple sclerosis.
NeuroImage, 2010
Corrigendum to "Gradient distortions in MRI: Characterizing and correcting for their effects on SIENA-generated measures of brain volume change" [NeuroImage 49 (2010) 1601-1611].
NeuroImage, 2010
Gradient distortions in MRI: Characterizing and correcting for their effects on SIENA-generated measures of brain volume change.
NeuroImage, 2010
Optimal Gaussian Mixture Models of Tissue Intensities in Brain MRI of Patients with Multiple-Sclerosis.
Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010
Detection of Gad-Enhancing Lesions in Multiple Sclerosis Using Conditional Random Fields.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Bayesian Classification of Multiple Sclerosis Lesions in Longitudinal MRI Using Subtraction Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
2006
Axonal injury in the cerebral normal-appearing white matter of patients with multiple sclerosis is related to concurrent demyelination in lesions but not to concurrent demyelination in normal-appearing white matter.
NeuroImage, 2006
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006
2002
Statistical Analysis of Longitudinal MRI Data: Applications for Detection of Disease Activity in MS.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2002