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A statistical model-based technique for accounting for prostate gland deformation in endorectal coil-based MR imaging.

, , , , , , , , и . EMBC, стр. 5412-5415. IEEE, (2012)

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Marcelino Arciniega

Marcelino Passos

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Segmentation and surface reconstruction model of prostate MRI to improve prostate cancer diagnosis., , , , , , , , и . ISBI, стр. 185-189. IEEE, (2013)A multiview boosting approach to tissue segmentation., , , , , , и . Digital Pathology, том 9041 из SPIE Proceedings, стр. 90410R. SPIE, (2014)2D registration guided models for semi-automatic MRI prostate segmentation., , , , , , , , , и . Image Processing, том 8669 из SPIE Proceedings, стр. 86692V. SPIE, (2013)An MRI guided system for prostate laser ablation with treatment planning and multi-planar temperature monitoring., , , , , , , , , и 1 other автор(ы). Image-Guided Procedures, том 9786 из SPIE Proceedings, стр. 97861I. SPIE, (2016)Ultrasound Tomosynthesis: A New Paradigm for Quantitative Imaging of the Prostate., , , , , , , , , и . MICCAI (1), том 9900 из Lecture Notes in Computer Science, стр. 577-584. (2016)A statistical model-based technique for accounting for prostate gland deformation in endorectal coil-based MR imaging., , , , , , , , и . EMBC, стр. 5412-5415. IEEE, (2012)Atlas based AAM and SVM model for fully automatic MRI prostate segmentation., , , , , , , , , и 3 other автор(ы). EMBC, стр. 2881-2585. IEEE, (2014)