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Disambiguation of "Miki, Soichiro"

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Feasibility Study of a Generalized Framework for Developing Computer-Aided Detection Systems - a New Paradigm.

, , , , , and . J. Digital Imaging, 30 (5): 629-639 (2017)

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Other publications of authors with the same name

Coarse-to-fine localization of anatomical landmarks in CT images based on multi-scale local appearance and rotation-invariant spatial landmark distribution model., , , , , , , and . Medical Imaging: Image Processing, volume 8669 of SPIE Proceedings, page 866917. SPIE, (2013)Automatic detection of vertebral number abnormalities in body CT images., , , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 12 (5): 719-732 (2017)Landmark-guided diffeomorphic demons algorithm and its application to automatic segmentation of the whole spine and pelvis in CT images., , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 12 (3): 413-430 (2017)HoTPiG: A Novel Geometrical Feature for Vessel Morphometry and Its Application to Cerebral Aneurysm Detection., , , , , , , , and . MICCAI (2), volume 9350 of Lecture Notes in Computer Science, page 103-110. Springer, (2015)Automatic detection of over 100 anatomical landmarks in medical CT images: A framework with independent detectors and combinatorial optimization., , , , , , , , and . Medical Image Analysis, (2017)Managing Computer-Assisted Detection System Based on Transfer Learning with Negative Transfer Inhibition., , , , , , and . KDD, page 695-704. ACM, (2018)Feasibility Study of a Generalized Framework for Developing Computer-Aided Detection Systems - a New Paradigm., , , , , and . J. Digital Imaging, 30 (5): 629-639 (2017)A Multiple Anatomical Landmark Detection System for Body CT Images., , , , , , , and . CANDAR, page 308-311. IEEE Computer Society, (2013)Post-processing of Anatomical Landmark Detection: Distance Error Reduction by Pictorial Structure Matching-Based Method., , , , , , , and . CANDAR, page 316-319. IEEE Computer Society, (2013)Training Strategy for Performance Improvement in Computer-Assisted Detection of Lesions: Based on Multi-institutional Study in Teleradiology Environment., , , , , , , and . CANDAR, page 320-323. IEEE Computer Society, (2013)