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Keiho Imanishi

Showing results (1-10 of 9) with videos related to

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Studies in Health Technology and Informatics|November 17, 2004
Practical haptic navigation with clickable 3D region input interface for supporting master-slave type robotic surgeryMegumi Nakao, Keiho Imanishi, Tomohiro Kuroda, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Deep Learning Based Lung Region Segmentation with Data Preprocessing by Generative Adversarial NetsJumpei Nitta, Megumi Nakao, Keiho Imanishi, et al.
Journal of Applied Clinical Medical Physics|January 20, 2023
Evaluation of generalization ability for deep learning-based auto-segmentation accuracy in limited field of view CBCT of male pelvic regionHideaki Hirashima, Mitsuhiro Nakamura, Keiho Imanishi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Improvement of Image Quality of Cone-beam CT Images by Three-dimensional Generative Adversarial NetworkTakumi Hase, Megumi Nakao, Keiho Imanishi, et al.
Radiation Oncology (London, England)|June 7, 2021
Geometric and dosimetric impact of 3D generative adversarial network-based metal artifact reduction algorithm on VMAT and IMPT for the head and neck regionMitsuhiro Nakamura, Megumi Nakao, Keiho Imanishi, et al.
Plos One|December 15, 2022
Computed Tomography slice interpolation in the longitudinal direction based on deep learning techniques: To reduce slice thickness or slice increment without dose increaseShuqiong Wu, Megumi Nakao, Keiho Imanishi, et al.
International Journal of Computer Assisted Radiology and Surgery|April 6, 2010
Interactive bone drilling using a 2D pointing device to support Microendoscopic Discectomy planningKeiho Imanishi, Megumi Nakao, Masahiko Kioka, et al.
Radiology. Artificial Intelligence|November 20, 2024
Deep Learning Applied to Diffusion-weighted Imaging for Differentiating Malignant from Benign Breast Tumors without Lesion SegmentationMami Iima, Ryosuke Mizuno, Masako Kataoka, et al.
Scientific Reports|July 12, 2025
Deep learning algorithm for identifying osteopenia/osteoporosis using cervical radiographyKoji Tamai, Keiho Imanishi, Masaki Terakawa, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Studies in Health Technology and Informatics|November 17, 2004
Practical haptic navigation with clickable 3D region input interface for supporting master-slave type robotic surgeryMegumi Nakao, Keiho Imanishi, Tomohiro Kuroda, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Deep Learning Based Lung Region Segmentation with Data Preprocessing by Generative Adversarial NetsJumpei Nitta, Megumi Nakao, Keiho Imanishi, et al.
Journal of Applied Clinical Medical Physics|January 20, 2023
Evaluation of generalization ability for deep learning-based auto-segmentation accuracy in limited field of view CBCT of male pelvic regionHideaki Hirashima, Mitsuhiro Nakamura, Keiho Imanishi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Improvement of Image Quality of Cone-beam CT Images by Three-dimensional Generative Adversarial NetworkTakumi Hase, Megumi Nakao, Keiho Imanishi, et al.
Radiation Oncology (London, England)|June 7, 2021
Geometric and dosimetric impact of 3D generative adversarial network-based metal artifact reduction algorithm on VMAT and IMPT for the head and neck regionMitsuhiro Nakamura, Megumi Nakao, Keiho Imanishi, et al.
Plos One|December 15, 2022
Computed Tomography slice interpolation in the longitudinal direction based on deep learning techniques: To reduce slice thickness or slice increment without dose increaseShuqiong Wu, Megumi Nakao, Keiho Imanishi, et al.
International Journal of Computer Assisted Radiology and Surgery|April 6, 2010
Interactive bone drilling using a 2D pointing device to support Microendoscopic Discectomy planningKeiho Imanishi, Megumi Nakao, Masahiko Kioka, et al.
Radiology. Artificial Intelligence|November 20, 2024
Deep Learning Applied to Diffusion-weighted Imaging for Differentiating Malignant from Benign Breast Tumors without Lesion SegmentationMami Iima, Ryosuke Mizuno, Masako Kataoka, et al.
Scientific Reports|July 12, 2025
Deep learning algorithm for identifying osteopenia/osteoporosis using cervical radiographyKoji Tamai, Keiho Imanishi, Masaki Terakawa, et al.
Pageof 1