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Disambiguation of "Hanaoka, Shouhei"

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Whole vertebral bone segmentation method with a statistical intensity-shape model based approach.

, , , , , , and . Medical Imaging: Image Processing, volume 7962 of SPIE Proceedings, page 796242. SPIE, (2011)

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Multichannel three-dimensional fully convolutional residual network-based focal liver lesion detection and classification in Gd-EOB-DTPA-enhanced MRI., , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 16 (9): 1527-1536 (2021)Whole vertebral bone segmentation method with a statistical intensity-shape model based approach., , , , , , and . Medical Imaging: Image Processing, volume 7962 of SPIE Proceedings, page 796242. SPIE, (2011)A Multiple Anatomical Landmark Detection System for Body CT Images., , , , , , , and . CANDAR, page 308-311. 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)Post-processing of Anatomical Landmark Detection: Distance Error Reduction by Pictorial Structure Matching-Based Method., , , , , , , and . CANDAR, page 316-319. IEEE Computer Society, (2013)Performance changes due to differences among annotating radiologists for training data in computerized lesion detection., , , , , , , , , and 8 other author(s). Int. J. Comput. Assist. Radiol. Surg., 19 (8): 1527-1536 (August 2024)A unified framework for concurrent detection of anatomical landmarks for medical image understanding., , , , , , , and . Medical Imaging: Image Processing, volume 7962 of SPIE Proceedings, page 79623E. SPIE, (2011)Managing Computer-Assisted Detection System Based on Transfer Learning with Negative Transfer Inhibition., , , , , , and . KDD, page 695-704. ACM, (2018)A primitive study on unsupervised anomaly detection with an autoencoder in emergency head CT volumes., , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105751P. SPIE, (2018)Four-dimensional fully convolutional residual network-based liver segmentation in Gd-EOB-DTPA-enhanced MRI., , , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 14 (8): 1259-1266 (2019)