Published in J Biomed Phys Eng on June 01, 2017
N4ITK: improved N3 bias correction. IEEE Trans Med Imaging (2010) 5.05
Spatial decision forests for MS lesion segmentation in multi-channel magnetic resonance images. Neuroimage (2011) 1.62
Skull-stripping magnetic resonance brain images using a model-based level set. Neuroimage (2006) 1.49
Automatic segmentation of different-sized white matter lesions by voxel probability estimation. Med Image Anal (2004) 1.25
Segmentation of multiple sclerosis lesions in MR images: a review. Neuroradiology (2011) 1.19
How can a massive training artificial neural network (MTANN) be trained with a small number of cases in the distinction between nodules and vessels in thoracic CT? Acad Radiol (2005) 1.04
A supervised 'lesion-enhancement' filter by use of a massive-training artificial neural network (MTANN) in computer-aided diagnosis (CAD). Phys Med Biol (2009) 1.00