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Noriyuki Fujima

Showing results (71-80 of 132) with videos related to

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Journal of Neuroendovascular Therapy|August 7, 2023
Comparison of Access Route for Endovascular Treatment by Time-Spatial Labeling Inversion Pulse (Time-SLIP) MRA and Contrast-Enhanced MRASatoshi Kobayashi, Toshiya Osanai, Taku Sugiyama, et al.
Japanese Journal of Radiology|January 27, 2024
Diagnosis of skull-base invasion by nasopharyngeal tumors on CT with a deep-learning approachJunichi Nakagawa, Noriyuki Fujima, Kenji Hirata, et al.
Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine|September 21, 2016
Comparison of Different Post-Processing Algorithms for Dynamic Susceptibility Contrast Perfusion Imaging of Cerebral GliomasKohsuke Kudo, Ikuko Uwano, Toshinori Hirai, et al.
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.
Radiology|April 24, 2010
Microstructural white matter abnormalities of multiple system atrophy: in vivo topographic illustration by using diffusion-tensor MR imagingKhin K Tha, Satoshi Terae, Ichiro Yabe, et al.
Magnetic Resonance in Medicine|March 22, 2017
Acceleration of ASL-based time-resolved MR angiography by acquisition of control and labeled images in the same shot (ACTRESS)Yuriko Suzuki, Noriyuki Fujima, Tetsuo Ogino, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|February 6, 2019
The utility of MRI histogram and texture analysis for the prediction of histological diagnosis in head and neck malignanciesNoriyuki Fujima, Akihiro Homma, Taisuke Harada, et al.
Journal of Magnetic Resonance Imaging : JMRI|October 31, 2014
Arterial spin labeling to determine tumor viability in head and neck cancer before and after treatmentNoriyuki Fujima, Kohsuke Kudo, Daisuke Yoshida, et al.
The Journal of Medical Investigation : JMI|November 11, 2021
Multiparametric Analysis of Tumor Morphological and Functional MR Parameters Potentially Predicts Local Failure in Pharynx Squamous Cell Carcinoma PatientsNoriyuki Fujima, Yukie Shimizu, Daisuke Yoshida, et al.
Cancers|June 13, 2019
Machine-Learning-Based Prediction of Treatment Outcomes Using MR Imaging-Derived Quantitative Tumor Information in Patients with Sinonasal Squamous Cell Carcinomas: A Preliminary StudyNoriyuki Fujima, Yukie Shimizu, Daisuke Yoshida, et al.
Pageof 14

Showing results (71-80 of 132) with videos related to

Sort By:
Pageof 14
Journal of Neuroendovascular Therapy|August 7, 2023
Comparison of Access Route for Endovascular Treatment by Time-Spatial Labeling Inversion Pulse (Time-SLIP) MRA and Contrast-Enhanced MRASatoshi Kobayashi, Toshiya Osanai, Taku Sugiyama, et al.
Japanese Journal of Radiology|January 27, 2024
Diagnosis of skull-base invasion by nasopharyngeal tumors on CT with a deep-learning approachJunichi Nakagawa, Noriyuki Fujima, Kenji Hirata, et al.
Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine|September 21, 2016
Comparison of Different Post-Processing Algorithms for Dynamic Susceptibility Contrast Perfusion Imaging of Cerebral GliomasKohsuke Kudo, Ikuko Uwano, Toshinori Hirai, et al.
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.
Radiology|April 24, 2010
Microstructural white matter abnormalities of multiple system atrophy: in vivo topographic illustration by using diffusion-tensor MR imagingKhin K Tha, Satoshi Terae, Ichiro Yabe, et al.
Magnetic Resonance in Medicine|March 22, 2017
Acceleration of ASL-based time-resolved MR angiography by acquisition of control and labeled images in the same shot (ACTRESS)Yuriko Suzuki, Noriyuki Fujima, Tetsuo Ogino, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|February 6, 2019
The utility of MRI histogram and texture analysis for the prediction of histological diagnosis in head and neck malignanciesNoriyuki Fujima, Akihiro Homma, Taisuke Harada, et al.
Journal of Magnetic Resonance Imaging : JMRI|October 31, 2014
Arterial spin labeling to determine tumor viability in head and neck cancer before and after treatmentNoriyuki Fujima, Kohsuke Kudo, Daisuke Yoshida, et al.
The Journal of Medical Investigation : JMI|November 11, 2021
Multiparametric Analysis of Tumor Morphological and Functional MR Parameters Potentially Predicts Local Failure in Pharynx Squamous Cell Carcinoma PatientsNoriyuki Fujima, Yukie Shimizu, Daisuke Yoshida, et al.
Cancers|June 13, 2019
Machine-Learning-Based Prediction of Treatment Outcomes Using MR Imaging-Derived Quantitative Tumor Information in Patients with Sinonasal Squamous Cell Carcinomas: A Preliminary StudyNoriyuki Fujima, Yukie Shimizu, Daisuke Yoshida, et al.
Pageof 14