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Whole abdominal wall segmentation using Augmented Active Shape Models (AASM) with multi-atlas label fusion and level set.

, , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97840U. SPIE, (2016)

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Whole abdominal wall segmentation using Augmented Active Shape Models (AASM) with multi-atlas label fusion and level set., , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97840U. SPIE, (2016)Evaluation of body-wise and organ-wise registrations for abdominal organs., , , , , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97841O. SPIE, (2016)Automatic segmentation of abdominal wall in ventral hernia CT: a pilot study., , , and . Medical Imaging: Image Processing, volume 8669 of SPIE Proceedings, page 86693T. SPIE, (2013)Evaluation of five image registration tools for abdominal CT: pitfalls and opportunities with soft anatomy., , , , , , and . Medical Imaging: Image Processing, volume 9413 of SPIE Proceedings, page 94131N. SPIE, (2015)Tracked ultrasound for laparoscopic surgery., , , , and . Medical Imaging: Image-Guided Procedures, volume 5367 of SPIE Proceedings, SPIE, (2004)Efficient abdominal segmentation on clinically acquired CT with SIMPLE context learning., , , , , , and . Medical Imaging: Image Processing, volume 9413 of SPIE Proceedings, page 94130L. SPIE, (2015)Human Versus Robotic Organ Retraction During Laparoscopic Nissen Fundoplication., , , , , , and . MICCAI, volume 1496 of Lecture Notes in Computer Science, page 197-206. Springer, (1998)Multi-atlas segmentation for abdominal organs with Gaussian mixture models., , , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 9417 of SPIE Proceedings, page 941707. SPIE, (2015)