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Rikiya Yamashita

Showing results (1-10 of 49) with videos related to

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Insights Into Imaging|June 24, 2018
Convolutional neural networks: an overview and application in radiologyRikiya Yamashita, Mizuho Nishio, Richard Kinh Gian Do, et al.
Scientific Reports|January 22, 2021
Deep learning predicts postsurgical recurrence of hepatocellular carcinoma from digital histopathologic imagesRikiya Yamashita, Jin Long, Atif Saleem, et al.
IEEE Transactions on Medical Imaging|August 2, 2021
Learning Domain-Agnostic Visual Representation for Computational Pathology Using Medically-Irrelevant Style Transfer AugmentationRikiya Yamashita, Jin Long, Snikitha Banda, et al.
Clinical Imaging|June 14, 2016
Usefulness of breath-hold inversion recovery-prepared T1-weighted two-dimensional gradient echo sequence for detection of hepatocellular carcinoma in Gd-EOB-DTPA-enhanced MR imagingTsuyoshi Ohno, Hiroyoshi Isoda, Akihiro Furuta, et al.
European Journal of Radiology|June 7, 2017
Non-contrast-enhanced magnetic resonance venography using magnetization-prepared rapid gradient-echo (MPRAGE) in the preoperative evaluation of living liver donor candidates: Comparison with conventional computed tomography venographyRikiya Yamashita, Hiroyoshi Isoda, Shigeki Arizono, et al.
Academic Radiology|July 9, 2019
Quantitative and Qualitative Evaluation of Convolutional Neural Networks with a Deeper U-Net for Sparse-View Computed Tomography ReconstructionHirotsugu Nakai, Mizuho Nishio, Rikiya Yamashita, et al.
Communications Biology|July 10, 2021
Multiplexed imaging analysis of the tumor-immune microenvironment reveals predictors of outcome in triple-negative breast cancerAalok Patwa, Rikiya Yamashita, Jin Long, et al.
Japanese Journal of Radiology|March 10, 2021
Convolutional neural network for classifying primary liver cancer based on triple-phase CT and tumor marker information: a pilot studyHirotsugu Nakai, Koji Fujimoto, Rikiya Yamashita, et al.
European Journal of Radiology|July 7, 2014
Comparison of monopolar and bipolar diffusion weighted imaging sequences for detection of small hepatic metastasesAkihiro Furuta, Hiroyoshi Isoda, Rikiya Yamashita, et al.
European Journal of Radiology|December 29, 2016
Selective visualization of pelvic splanchnic nerve and pelvic plexus using readout-segmented echo-planar diffusion-weighted magnetic resonance neurography: A preliminary study in healthy male volunteersRikiya Yamashita, Hiroyoshi Isoda, Shigeki Arizono, et al.
Pageof 5

Showing results (1-10 of 49) with videos related to

Sort By:
Pageof 5
Insights Into Imaging|June 24, 2018
Convolutional neural networks: an overview and application in radiologyRikiya Yamashita, Mizuho Nishio, Richard Kinh Gian Do, et al.
Scientific Reports|January 22, 2021
Deep learning predicts postsurgical recurrence of hepatocellular carcinoma from digital histopathologic imagesRikiya Yamashita, Jin Long, Atif Saleem, et al.
IEEE Transactions on Medical Imaging|August 2, 2021
Learning Domain-Agnostic Visual Representation for Computational Pathology Using Medically-Irrelevant Style Transfer AugmentationRikiya Yamashita, Jin Long, Snikitha Banda, et al.
Clinical Imaging|June 14, 2016
Usefulness of breath-hold inversion recovery-prepared T1-weighted two-dimensional gradient echo sequence for detection of hepatocellular carcinoma in Gd-EOB-DTPA-enhanced MR imagingTsuyoshi Ohno, Hiroyoshi Isoda, Akihiro Furuta, et al.
European Journal of Radiology|June 7, 2017
Non-contrast-enhanced magnetic resonance venography using magnetization-prepared rapid gradient-echo (MPRAGE) in the preoperative evaluation of living liver donor candidates: Comparison with conventional computed tomography venographyRikiya Yamashita, Hiroyoshi Isoda, Shigeki Arizono, et al.
Academic Radiology|July 9, 2019
Quantitative and Qualitative Evaluation of Convolutional Neural Networks with a Deeper U-Net for Sparse-View Computed Tomography ReconstructionHirotsugu Nakai, Mizuho Nishio, Rikiya Yamashita, et al.
Communications Biology|July 10, 2021
Multiplexed imaging analysis of the tumor-immune microenvironment reveals predictors of outcome in triple-negative breast cancerAalok Patwa, Rikiya Yamashita, Jin Long, et al.
Japanese Journal of Radiology|March 10, 2021
Convolutional neural network for classifying primary liver cancer based on triple-phase CT and tumor marker information: a pilot studyHirotsugu Nakai, Koji Fujimoto, Rikiya Yamashita, et al.
European Journal of Radiology|July 7, 2014
Comparison of monopolar and bipolar diffusion weighted imaging sequences for detection of small hepatic metastasesAkihiro Furuta, Hiroyoshi Isoda, Rikiya Yamashita, et al.
European Journal of Radiology|December 29, 2016
Selective visualization of pelvic splanchnic nerve and pelvic plexus using readout-segmented echo-planar diffusion-weighted magnetic resonance neurography: A preliminary study in healthy male volunteersRikiya Yamashita, Hiroyoshi Isoda, Shigeki Arizono, et al.
Pageof 5