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Taichi Kiwaki

Showing results (1-10 of 7) with videos related to

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Optics Letters|April 6, 2010
Quantitative assessment method for computer-generated holograms free from the effect of viewpointTaichi Kiwaki, Tomoyoshi Shimobaba, Nobuyuki Masuda, et al.
American Journal of Ophthalmology|June 20, 2018
Detection of Longitudinal Visual Field Progression in Glaucoma Using Machine LearningSiamak Yousefi, Taichi Kiwaki, Yuhui Zheng, et al.
Ophthalmology. Glaucoma|August 14, 2020
Improving Visual Field Trend Analysis with OCT and Deeply Regularized Latent-Space Linear RegressionLinchuan Xu, Ryo Asaoka, Hiroshi Murata, et al.
Ophthalmology Science|October 17, 2022
A Joint Multitask Learning Model for Cross-sectional and Longitudinal Predictions of Visual Field Using OCTRyo Asaoka, Linchuan Xu, Hiroshi Murata, et al.
American Journal of Ophthalmology|May 11, 2020
Predicting the Glaucomatous Central 10-Degree Visual Field From Optical Coherence Tomography Using Deep Learning and Tensor RegressionLinchuan Xu, Ryo Asaoka, Taichi Kiwaki, et al.
The British Journal of Ophthalmology|June 29, 2020
Deep learning model to predict visual field in central 10° from optical coherence tomography measurement in glaucomaYohei Hashimoto, Ryo Asaoka, Taichi Kiwaki, et al.
Translational Vision Science & Technology|November 23, 2021
Predicting 10-2 Visual Field From Optical Coherence Tomography in Glaucoma Using Deep Learning Corrected With 24-2/30-2 Visual FieldYohei Hashimoto, Taichi Kiwaki, Hiroki Sugiura, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Optics Letters|April 6, 2010
Quantitative assessment method for computer-generated holograms free from the effect of viewpointTaichi Kiwaki, Tomoyoshi Shimobaba, Nobuyuki Masuda, et al.
American Journal of Ophthalmology|June 20, 2018
Detection of Longitudinal Visual Field Progression in Glaucoma Using Machine LearningSiamak Yousefi, Taichi Kiwaki, Yuhui Zheng, et al.
Ophthalmology. Glaucoma|August 14, 2020
Improving Visual Field Trend Analysis with OCT and Deeply Regularized Latent-Space Linear RegressionLinchuan Xu, Ryo Asaoka, Hiroshi Murata, et al.
Ophthalmology Science|October 17, 2022
A Joint Multitask Learning Model for Cross-sectional and Longitudinal Predictions of Visual Field Using OCTRyo Asaoka, Linchuan Xu, Hiroshi Murata, et al.
American Journal of Ophthalmology|May 11, 2020
Predicting the Glaucomatous Central 10-Degree Visual Field From Optical Coherence Tomography Using Deep Learning and Tensor RegressionLinchuan Xu, Ryo Asaoka, Taichi Kiwaki, et al.
The British Journal of Ophthalmology|June 29, 2020
Deep learning model to predict visual field in central 10° from optical coherence tomography measurement in glaucomaYohei Hashimoto, Ryo Asaoka, Taichi Kiwaki, et al.
Translational Vision Science & Technology|November 23, 2021
Predicting 10-2 Visual Field From Optical Coherence Tomography in Glaucoma Using Deep Learning Corrected With 24-2/30-2 Visual FieldYohei Hashimoto, Taichi Kiwaki, Hiroki Sugiura, et al.
Pageof 1