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Registration based detection and quantification of intracranial aneurysm growth.

, , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10950 из SPIE Proceedings, стр. 1095007. SPIE, (2019)

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Curved planar reformation of CT spine data., , и . Medical Imaging: Image Processing, том 5747 из SPIE Proceedings, SPIE, (2005)Registration based detection and quantification of intracranial aneurysm growth., , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10950 из SPIE Proceedings, стр. 1095007. SPIE, (2019)3D-2D registration in endovascular image-guided surgery: evaluation of state-of-the-art methods on cerebral angiograms., , , и . Int. J. Comput. Assist. Radiol. Surg., 13 (2): 193-202 (2018)Determination of 3D location and rotation of lumbar vertebrae in CT images by symmetry-based auto-registration., , и . Medical Imaging: Image Processing, том 6512 из SPIE Proceedings, стр. 65121Q. SPIE, (2007)Device and methods for "gold standard" registration of clinical 3D and 2D cerebral angiograms., , , и . Medical Imaging: Image-Guided Procedures, том 9415 из SPIE Proceedings, стр. 94151G. SPIE, (2015)Vascular Surface Segmentation for Intracranial Aneurysm Isolation and Quantification., , , и . MICCAI (6), том 12266 из Lecture Notes in Computer Science, стр. 128-137. Springer, (2020)Optical Character Verification of Print on Pharmaceutical Capsules., , , и . MVA, стр. 303-306. (2011)Automated robust generation of compact 3D statistical shape models., , , и . Medical Imaging: Image Processing, том 5370 из SPIE Proceedings, SPIE, (2004)Modality agnostic intracranial aneurysm detection through supervised vascular surface classification., , , и . Medical Imaging: Computer-Aided Diagnosis, том 11597 из SPIE Proceedings, SPIE, (2021)