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Kazuki Yamagata

Showing results (1-10 of 16) with videos related to

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Scientific Reports|July 20, 2022
The evaluation of the reduction of radiation dose via deep learning-based reconstruction for cadaveric human lung CT imagesTomo Miyata, Masahiro Yanagawa, Noriko Kikuchi, et al.
Radiology. Artificial Intelligence|April 10, 2023
BERT-based Transfer Learning in Sentence-level Anatomic Classification of Free-Text Radiology ReportsDaiki Nishigaki, Yuki Suzuki, Tomohiro Wataya, et al.
Iscience|July 12, 2023
Anatomy-aware self-supervised learning for anomaly detection in chest radiographsJunya Sato, Yuki Suzuki, Tomohiro Wataya, et al.
Scientific Reports|August 7, 2024
Three-dimensional iodine mapping quantified by dual-energy CT for predicting programmed death-ligand 1 expression in invasive pulmonary adenocarcinomaKazuki Yamagata, Masahiro Yanagawa, Akinori Hata, et al.
European Journal of Radiology|September 30, 2022
Ultrafast cervcial spine MRI protocol using deep learning-based reconstruction: Diagnostic equivalence to a conventional protocolNobuo Kashiwagi, Mio Sakai, Akio Tsukabe, et al.
Journal of Clinical Medicine|September 9, 2023
Usefulness of Three-Dimensional Iodine Mapping Quantified by Dual-Energy CT for Differentiating Thymic Epithelial TumorsShuhei Doi, Masahiro Yanagawa, Takahiro Matsui, et al.
European Journal of Radiology Open|June 18, 2021
Quantitative volumetry of ground-glass nodules on high-spatial-resolution CT with 0.25-mm section thickness and 1024 matrix: Phantom and clinical studiesYuriko Yoshida, Masahiro Yanagawa, Akinori Hata, et al.
European Radiology|June 25, 2022
Radiologists with and without deep learning-based computer-aided diagnosis: comparison of performance and interobserver agreement for characterizing and diagnosing pulmonary nodules/massesTomohiro Wataya, Masahiro Yanagawa, Mitsuko Tsubamoto, et al.
Journal of Thoracic Disease|June 13, 2022
CT-based radiomics analysis for differentiation between thymoma and thymic carcinomaRyosuke Ohira, Masahiro Yanagawa, Yuki Suzuki, et al.
European Radiology|August 29, 2020
Deep learning algorithm for detection of aortic dissection on non-contrast-enhanced CTAkinori Hata, Masahiro Yanagawa, Kazuki Yamagata, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Scientific Reports|July 20, 2022
The evaluation of the reduction of radiation dose via deep learning-based reconstruction for cadaveric human lung CT imagesTomo Miyata, Masahiro Yanagawa, Noriko Kikuchi, et al.
Radiology. Artificial Intelligence|April 10, 2023
BERT-based Transfer Learning in Sentence-level Anatomic Classification of Free-Text Radiology ReportsDaiki Nishigaki, Yuki Suzuki, Tomohiro Wataya, et al.
Iscience|July 12, 2023
Anatomy-aware self-supervised learning for anomaly detection in chest radiographsJunya Sato, Yuki Suzuki, Tomohiro Wataya, et al.
Scientific Reports|August 7, 2024
Three-dimensional iodine mapping quantified by dual-energy CT for predicting programmed death-ligand 1 expression in invasive pulmonary adenocarcinomaKazuki Yamagata, Masahiro Yanagawa, Akinori Hata, et al.
European Journal of Radiology|September 30, 2022
Ultrafast cervcial spine MRI protocol using deep learning-based reconstruction: Diagnostic equivalence to a conventional protocolNobuo Kashiwagi, Mio Sakai, Akio Tsukabe, et al.
Journal of Clinical Medicine|September 9, 2023
Usefulness of Three-Dimensional Iodine Mapping Quantified by Dual-Energy CT for Differentiating Thymic Epithelial TumorsShuhei Doi, Masahiro Yanagawa, Takahiro Matsui, et al.
European Journal of Radiology Open|June 18, 2021
Quantitative volumetry of ground-glass nodules on high-spatial-resolution CT with 0.25-mm section thickness and 1024 matrix: Phantom and clinical studiesYuriko Yoshida, Masahiro Yanagawa, Akinori Hata, et al.
European Radiology|June 25, 2022
Radiologists with and without deep learning-based computer-aided diagnosis: comparison of performance and interobserver agreement for characterizing and diagnosing pulmonary nodules/massesTomohiro Wataya, Masahiro Yanagawa, Mitsuko Tsubamoto, et al.
Journal of Thoracic Disease|June 13, 2022
CT-based radiomics analysis for differentiation between thymoma and thymic carcinomaRyosuke Ohira, Masahiro Yanagawa, Yuki Suzuki, et al.
European Radiology|August 29, 2020
Deep learning algorithm for detection of aortic dissection on non-contrast-enhanced CTAkinori Hata, Masahiro Yanagawa, Kazuki Yamagata, et al.
Pageof 2