Automatic segmentation of head and neck CT images for radiotherapy treatment planning using multiple atlases, statistical appearance models, and geodesic active contours.

Multi-atlas segmentation of biomedical images: A survey. Med Image Anal (2015) 1.17

Tissue segmentation of computed tomography images using a Random Forest algorithm: a feasibility study. Phys Med Biol (2016) 0.78

Hippocampus Segmentation Based on Local Linear Mapping. Sci Rep (2017) 0.75

Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks. Med Phys (2017) 0.75

Nonlocal atlas-guided multi-channel forest learning for human brain labeling. Med Phys (2016) 0.75

Multi-atlas based segmentation editing with interaction-guided patch selection and label fusion. IEEE Trans Biomed Eng (2015) 0.75

Diffeomorphic demons: efficient non-parametric image registration. Neuroimage (2008) 7.18

A generative model for image segmentation based on label fusion. IEEE Trans Med Imaging (2010) 6.28

Evaluation of atlas selection strategies for atlas-based image segmentation with application to confocal microscopy images of bee brains. Neuroimage (2004) 4.76

Automatic construction of 3-D statistical deformation models of the brain using nonrigid registration. IEEE Trans Med Imaging (2003) 3.15

Automatic 3-D segmentation of internal structures of the head in MR images using a combination of similarity and free-form transformations: Part I, Methodology and validation on normal subjects. IEEE Trans Med Imaging (1999) 2.57

The impact of gross tumor volume (GTV) and clinical target volume (CTV) definition on the total accuracy in radiotherapy theoretical aspects and practical experiences. Strahlenther Onkol (2003) 1.64

Delineation guidelines for organs at risk involved in radiation-induced salivary dysfunction and xerostomia. Radiother Oncol (2009) 1.40

A pre-clinical assessment of an atlas-based automatic segmentation tool for the head and neck. Radiother Oncol (2009) 1.38

A simple fixed-point approach to invert a deformation field. Med Phys (2008) 1.28

Atlas-based auto-segmentation of head and neck CT images. Med Image Comput Comput Assist Interv (2008) 1.26

Auto-segmentation of normal and target structures in head and neck CT images: a feature-driven model-based approach. Med Phys (2011) 1.24

Using Frankenstein's creature paradigm to build a patient specific atlas. Med Image Comput Comput Assist Interv (2009) 1.19

3D Variation in delineation of head and neck organs at risk. Radiat Oncol (2012) 1.11

Contour-driven regression for label inference in atlas-based segmentation. Med Image Comput Comput Assist Interv (2013) 1.10

Automated brain structure segmentation based on atlas registration and appearance models. IEEE Trans Med Imaging (2011) 1.09

Atlas-based automatic segmentation of head and neck organs at risk and nodal target volumes: a clinical validation. Radiat Oncol (2013) 1.02

Tissue segmentation of head and neck CT images for treatment planning: a multiatlas approach combined with intensity modeling. Med Phys (2013) 0.97

Efficient selection of the most similar image in a database for critical structures segmentation. Med Image Comput Comput Assist Interv (2007) 0.94

Emphasizing conformal avoidance versus target definition for IMRT planning in head-and-neck cancer. Int J Radiat Oncol Biol Phys (2010) 0.83

Assessment of the individual fracture risk of the proximal femur by using statistical appearance models. Med Phys (2010) 0.83

Trabecular bone analysis in CT and X-ray images of the proximal femur for the assessment of local bone quality. IEEE Trans Med Imaging (2009) 0.83