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Hidekata Hontani

Showing results (1-10 of 15) with videos related to

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Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
A study on graphical model structure for representing statistical shape model of point distribution modelYoshihide Sawada, Hidekata Hontani
International Journal of Biomedical Imaging|September 25, 2018
Super-Resolution of Magnetic Resonance Images via Convex Optimization with Local and Global Prior Regularization and Spectrum FittingNaoki Kawamura, Tatsuya Yokota, Hidekata Hontani
IEEE Transactions on Neural Networks and Learning Systems|December 4, 2020
Manifold Modeling in Embedded Space: An Interpretable Alternative to Deep Image PriorTatsuya Yokota, Hidekata Hontani, Qibin Zhao, et al.
Physics in Medicine and Biology|November 12, 2025
Cortical surface electric field estimation for real-time TMS with graph neural networksToyohiro Maki, Tatsuya Yokota, Akimasa Hirata, et al.
Journal of Pathology Informatics|January 23, 2025
Attention induction based on pathologist annotations for improving whole slide pathology image classifierRyoichi Koga, Tatsuya Yokota, Koji Arihiro, et al.
Journal of Pathology Informatics|January 24, 2023
Transformer-based personalized attention mechanism for medical images with clinical recordsYusuke Takagi, Noriaki Hashimoto, Hiroki Masuda, et al.
Brain Stimulation|July 3, 2019
Real-time estimation of electric fields induced by transcranial magnetic stimulation with deep neural networksTatsuya Yokota, Toyohiro Maki, Tatsuya Nagata, et al.
International Journal of Computer Assisted Radiology and Surgery|February 11, 2022
Subtype classification of malignant lymphoma using immunohistochemical staining patternNoriaki Hashimoto, Kaho Ko, Tatsuya Yokota, et al.
Journal of Pathology Informatics|February 7, 2024
Multimodal Gated Mixture of Experts Using Whole Slide Image and Flow Cytometry for Multiple Instance Learning Classification of LymphomaNoriaki Hashimoto, Hiroyuki Hanada, Hiroaki Miyoshi, et al.
International Journal of Computer Assisted Radiology and Surgery|July 4, 2019
Robust 3D image reconstruction of pancreatic cancer tumors from histopathological images with different stains and its quantitative performance evaluationMauricio Kugler, Yushi Goto, Yuki Tamura, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
A study on graphical model structure for representing statistical shape model of point distribution modelYoshihide Sawada, Hidekata Hontani
International Journal of Biomedical Imaging|September 25, 2018
Super-Resolution of Magnetic Resonance Images via Convex Optimization with Local and Global Prior Regularization and Spectrum FittingNaoki Kawamura, Tatsuya Yokota, Hidekata Hontani
IEEE Transactions on Neural Networks and Learning Systems|December 4, 2020
Manifold Modeling in Embedded Space: An Interpretable Alternative to Deep Image PriorTatsuya Yokota, Hidekata Hontani, Qibin Zhao, et al.
Physics in Medicine and Biology|November 12, 2025
Cortical surface electric field estimation for real-time TMS with graph neural networksToyohiro Maki, Tatsuya Yokota, Akimasa Hirata, et al.
Journal of Pathology Informatics|January 23, 2025
Attention induction based on pathologist annotations for improving whole slide pathology image classifierRyoichi Koga, Tatsuya Yokota, Koji Arihiro, et al.
Journal of Pathology Informatics|January 24, 2023
Transformer-based personalized attention mechanism for medical images with clinical recordsYusuke Takagi, Noriaki Hashimoto, Hiroki Masuda, et al.
Brain Stimulation|July 3, 2019
Real-time estimation of electric fields induced by transcranial magnetic stimulation with deep neural networksTatsuya Yokota, Toyohiro Maki, Tatsuya Nagata, et al.
International Journal of Computer Assisted Radiology and Surgery|February 11, 2022
Subtype classification of malignant lymphoma using immunohistochemical staining patternNoriaki Hashimoto, Kaho Ko, Tatsuya Yokota, et al.
Journal of Pathology Informatics|February 7, 2024
Multimodal Gated Mixture of Experts Using Whole Slide Image and Flow Cytometry for Multiple Instance Learning Classification of LymphomaNoriaki Hashimoto, Hiroyuki Hanada, Hiroaki Miyoshi, et al.
International Journal of Computer Assisted Radiology and Surgery|July 4, 2019
Robust 3D image reconstruction of pancreatic cancer tumors from histopathological images with different stains and its quantitative performance evaluationMauricio Kugler, Yushi Goto, Yuki Tamura, et al.
Pageof 2