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Automatic learning-based selection of beam angles in radiation therapy of lung cancer.

, , , , , , and . ISBI, page 230-233. IEEE, (2014)

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Deformable Image Registration by Adaptive Gaussian Forces., and . ECCV Workshops CVAMIA and MMBIA, volume 3117 of Lecture Notes in Computer Science, page 317-328. Springer, (2004)Motion Compensation and Plane Tracking for Kinematic MR-Imaging., , , , and . CVBIA, volume 3765 of Lecture Notes in Computer Science, page 551-560. Springer, (2005)Full orientation invariance and improved feature selectivity of 3D SIFT with application to medical image analysis., , , , and . CVPR Workshops, page 1-8. IEEE Computer Society, (2008)Automated planning of MRI scans of knee joints., , , , , and . Medical Imaging: Image-Guided Procedures, volume 6509 of SPIE Proceedings, page 65092Z. SPIE, (2007)Improving specificity of image features for segmentation with deformable models., , , , and . Medical Imaging: Image Processing, volume 5032 of SPIE Proceedings, SPIE, (2003)Probabilistic Refinement of Model-Based Segmentation: Application to Radiation Therapy Planning of the Head and Neck., , , and . MIAR, volume 6326 of Lecture Notes in Computer Science, page 403-410. Springer, (2010)Coupled deformable models with spatially varying features for quantitative assessment of left ventricular function from cardiac MRI., , , , , , , , and . Medical Imaging: Image Processing, volume 5032 of SPIE Proceedings, SPIE, (2003)Model-Based Segmentation of Anatomical Structures in MR Images of the Head and Neck Area., , and . Bildverarbeitung für die Medizin, page 113-117. Springer, (2005)Automatic learning-based selection of beam angles in radiation therapy of lung cancer., , , , , , and . ISBI, page 230-233. IEEE, (2014)Detection of point landmarks in 3D medical images via phase congruency model., , , , , and . J. Braz. Comp. Soc., 17 (2): 117-132 (2011)