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Yohei Ikebe

Showing results (11-20 of 24) with videos related to

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European Journal of Radiology Open|June 15, 2026
Enhanced image quality in head and neck MRI with PROPELLER and deep learning reconstructionYuki Takano, Noriyuki Fujima, Motoma Kanaya, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|May 6, 2022
Quantitative Susceptibility Mapping: Basic Methods and Clinical ApplicationsTaisuke Harada, Kohsuke Kudo, Noriyuki Fujima, et al.
Journal of Vascular Research|March 28, 2024
Assessment for Carotid Atherosclerotic Plaque Using Vessel Wall Magnetic Resonance Imaging: A Multireader ROC Study to Determine Optimal Sequence for Detecting Vessel Wall CalcificationHideki Ishimaru, Yohei Ikebe, Tsuyoshi Izumo, et al.
Japanese Journal of Radiology|March 4, 2025
Dual-type deep learning-based image reconstruction for advanced denoising and super-resolution processing in head and neck T2-weighted imagingNoriyuki Fujima, Yukie Shimizu, Yohei Ikebe, et al.
Magma (New York, N.Y.)|November 22, 2023
Improvement of image quality in diffusion-weighted imaging with model-based deep learning reconstruction for evaluations of the head and neckNoriyuki Fujima, Junichi Nakagawa, Hiroyuki Kameda, et al.
Magnetic Resonance Imaging|February 10, 2024
Improved image quality in contrast-enhanced 3D-T1 weighted sequence by compressed sensing-based deep-learning reconstruction for the evaluation of head and neckNoriyuki Fujima, Junichi Nakagawa, Yohei Ikebe, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|September 22, 2022
Utility of the deep learning technique for the diagnosis of orbital invasion on CT in patients with a nasal or sinonasal tumorJunichi Nakagawa, Noriyuki Fujima, Kenji Hirata, et al.
AJNR. American Journal of Neuroradiology|April 25, 2026
Image Quality Assessment of the External Carotid Artery and Its Branches on Ultra-High-Resolution Head and Neck Computed Tomography Angiography Using a High-Resolution 0.25-mm Detector and Deep Learning ReconstructionMotoma Kanaya, Noriyuki Fujima, Koji Yamasaki, et al.
Neuropathology : Official Journal of the Japanese Society of Neuropathology|April 28, 2025
An Autopsy Case of Amyotrophic Lateral Sclerosis With Sudden Death Showed Histological Features of Lewy Body DiseaseShunsuke Miyachi, Yuki Oshima, Kazuo Yazaki, et al.
Japanese Journal of Radiology|September 24, 2024
Accelerating FLAIR imaging via deep learning reconstruction: potential for evaluating white matter hyperintensitiesNoriko Nishioka, Yukie Shimizu, Yukio Kaneko, et al.
Pageof 3

Showing results (11-20 of 24) with videos related to

Sort By:
Pageof 3
European Journal of Radiology Open|June 15, 2026
Enhanced image quality in head and neck MRI with PROPELLER and deep learning reconstructionYuki Takano, Noriyuki Fujima, Motoma Kanaya, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|May 6, 2022
Quantitative Susceptibility Mapping: Basic Methods and Clinical ApplicationsTaisuke Harada, Kohsuke Kudo, Noriyuki Fujima, et al.
Journal of Vascular Research|March 28, 2024
Assessment for Carotid Atherosclerotic Plaque Using Vessel Wall Magnetic Resonance Imaging: A Multireader ROC Study to Determine Optimal Sequence for Detecting Vessel Wall CalcificationHideki Ishimaru, Yohei Ikebe, Tsuyoshi Izumo, et al.
Japanese Journal of Radiology|March 4, 2025
Dual-type deep learning-based image reconstruction for advanced denoising and super-resolution processing in head and neck T2-weighted imagingNoriyuki Fujima, Yukie Shimizu, Yohei Ikebe, et al.
Magma (New York, N.Y.)|November 22, 2023
Improvement of image quality in diffusion-weighted imaging with model-based deep learning reconstruction for evaluations of the head and neckNoriyuki Fujima, Junichi Nakagawa, Hiroyuki Kameda, et al.
Magnetic Resonance Imaging|February 10, 2024
Improved image quality in contrast-enhanced 3D-T1 weighted sequence by compressed sensing-based deep-learning reconstruction for the evaluation of head and neckNoriyuki Fujima, Junichi Nakagawa, Yohei Ikebe, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|September 22, 2022
Utility of the deep learning technique for the diagnosis of orbital invasion on CT in patients with a nasal or sinonasal tumorJunichi Nakagawa, Noriyuki Fujima, Kenji Hirata, et al.
AJNR. American Journal of Neuroradiology|April 25, 2026
Image Quality Assessment of the External Carotid Artery and Its Branches on Ultra-High-Resolution Head and Neck Computed Tomography Angiography Using a High-Resolution 0.25-mm Detector and Deep Learning ReconstructionMotoma Kanaya, Noriyuki Fujima, Koji Yamasaki, et al.
Neuropathology : Official Journal of the Japanese Society of Neuropathology|April 28, 2025
An Autopsy Case of Amyotrophic Lateral Sclerosis With Sudden Death Showed Histological Features of Lewy Body DiseaseShunsuke Miyachi, Yuki Oshima, Kazuo Yazaki, et al.
Japanese Journal of Radiology|September 24, 2024
Accelerating FLAIR imaging via deep learning reconstruction: potential for evaluating white matter hyperintensitiesNoriko Nishioka, Yukie Shimizu, Yukio Kaneko, et al.
Pageof 3