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Disambiguation of "Hayashi, Yuichiro"

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Usefulness of fine-tuning for deep learning based multi-organ regions segmentation method from non-contrast CT volumes using small training dataset.

, , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)

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Ken Hayashi

Yuichiro Honda

Mutsumi Hayashi

Akiko Hayashi

Tetsuhiro Hayashi

 

Other publications of authors with the same name

Virtual Pneumoperitoneum for Generating Virtual Laparoscopic Views Based on Volumetric Deformation., , , , , and . MICCAI (2), volume 3217 of Lecture Notes in Computer Science, page 559-567. Springer, (2004)Development of a novel six-axis force/moment sensor attached to a prosthetic limb for the unrestrained gait measurement., , , , and . EMBC, page 2921-2924. IEEE, (2011)Database-driven patient-specific registration error compensation method for image-guided laparoscopic surgery., , and . Int. J. Comput. Assist. Radiol. Surg., 18 (1): 63-69 (January 2023)A Method for Detecting Undisplayed Regions in Virtual Colonoscopy and Its Application to Quantitative Evaluation of Fly-Through Methods., , , , and . MICCAI (2), volume 2489 of Lecture Notes in Computer Science, page 631-638. Springer, (2002)Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks., , , , , , , , and . CoRR, (2017)Clinical application of a surgical navigation system based on virtual laparoscopy in laparoscopic gastrectomy for gastric cancer., , , , and . Int. J. Comput. Assist. Radiol. Surg., 11 (5): 827-836 (2016)Boundary-aware feature and prediction refinement for polyp segmentation., , , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 11 (4): 1187-1196 (July 2023)Semi-automated Virtual Unfolded View Generation Method of Stomach from CT Volumes., , , , , , , , , and 2 other author(s). MICCAI (1), volume 8149 of Lecture Notes in Computer Science, page 332-339. Springer, (2013)Development of a Navigation-Based CAD System for Colon., , , , , and . MICCAI, volume 3749 of Lecture Notes in Computer Science, page 696-703. Springer, (2005)Usefulness of fine-tuning for deep learning based multi-organ regions segmentation method from non-contrast CT volumes using small training dataset., , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)