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Active appearance model and deep learning for more accurate prostate segmentation on MRI.

, , , , , , , , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97842I. SPIE, (2016)

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GPU based multi-histogram volume navigation for virtual bronchoscopy., , , , , , and . EMBC, page 3308-3312. IEEE, (2014)Active appearance model and deep learning for more accurate prostate segmentation on MRI., , , , , , , , , and 1 other author(s). Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97842I. SPIE, (2016)Atlas based AAM and SVM model for fully automatic MRI prostate segmentation., , , , , , , , , and 3 other author(s). EMBC, page 2881-2585. IEEE, (2014)Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRI., , , , , , , , , and 2 other author(s). ISBI, page 749-753. IEEE, (2017)Patellar segmentation from 3D magnetic resonance images using guided recursive ray-tracing for edge pattern detection., , , , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 9788 of SPIE Proceedings, page 97880C. SPIE, (2016)Automatic MR prostate segmentation by deep learning with holistically-nested networks., , , , , , , , , and . Medical Imaging: Image Processing, volume 10133 of SPIE Proceedings, page 101332H. SPIE, (2017)2D registration guided models for semi-automatic MRI prostate segmentation., , , , , , , , , and . Medical Imaging: Image Processing, volume 8669 of SPIE Proceedings, page 86692V. SPIE, (2013)Segmentation and surface reconstruction model of prostate MRI to improve prostate cancer diagnosis., , , , , , , , and . ISBI, page 185-189. IEEE, (2013)Free software tools for atlas-based volumetric neuroimage analysis., , , and . Medical Imaging: Image Processing, volume 5747 of SPIE Proceedings, SPIE, (2005)Medical Image Processing, Analysis & Visualization in Clinical Research., , , , , and . CBMS, page 381-. IEEE Computer Society, (2001)