Kaori Yamamoto - Canon Medical Systems Corporation

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论文共 22 篇作者统计合作学者相似作者

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Efficacy of Compressed Sensing and Deep Learning Reconstruction for Adult Female Pelvic MRI at 1.5 T

Takahiro Ueda,Kaori Yamamoto, Natsuka Yazawa, Ikki Tozawa,Masato Ikedo,Masao Yui,Hiroyuki Nagata,Masahiko Nomura,Yoshiyuki Ozawa,Yoshiharu Ohno

European Radiology Experimentalno. 1 (2024): 1-2

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Proton Density Fat Fraction Quantification (PD-FFQ): Capability for Hematopoietic Ability Assessment and Aplastic Anemaia Diagnosis of Adults

Yoshiharu Ohno, Takahiro Ueda, Masahiko Nomura, Yuichiro Sano,Kaori Yamamoto,Maiko Shinohara,Masato Ikedo,Masao Yui,Akiyoshi Iwase, Hiroyuki Nagata, Takeshi Yoshikawa, Daisuke Takenaka, Akihiro Tomita, Nobuyuki Fujita, Yoshiyuki Ozawa

Magnetic resonance imaging（2024）

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Diffusion Weighted Imaging with Reverse Encoding Distortion Correction: Improvement of Image Quality and Distortion for Accurate ADC Evaluation in in Vitro and in Vivo Studies

Minami Furuta,Hirotaka Ikeda,Satomu Hanamatsu,Kaori Yamamoto,Maiko Shinohara,Masato Ikedo,Masao Yui,Hiroyuki Nagata,Masahiko Nomura,Takahiro Ueda,Yoshiyuki Ozawa,Hiroshi Toyama,Yoshiharu Ohno

EUROPEAN JOURNAL OF RADIOLOGY (2024)

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Deep Learning Reconstruction for DWIs by EPI and FASE Sequences for Head and Neck Tumors

Hirotaka Ikeda,Yoshiharu Ohno,Kaori Yamamoto,Kazuhiro Murayama,Masato Ikedo,Masao Yui, Yunosuke Kumazawa, Yurika Shimamura, Yui Takagi, Yuhei Nakagaki,Satomu Hanamatsu,Yuki Obama,Takahiro Ueda,Hiroyuki Nagata,Yoshiyuki Ozawa,Akiyoshi Iwase,Hiroshi Toyama

CANCERSno. 9 (2024)

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Compressed Sensing with Deep Learning Reconstruction: Improving Capability of Gadolinium-Eob-enhanced 3D T1WI

Hiroyuki Nagata,Yoshiharu Ohno,Takeshi Yoshikawa,Kaori Yamamoto,Maiko Shinohara,Masato Ikedo,Masao Yui,Takahiro Matsuyama, Tomoki Takahashi,Shuji Bando,Minami Furuta,Takahiro Ueda,Yoshiyuki Ozawa,Hiroshi Toyama

Magnetic Resonance Imaging (2024): 67-76

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Pulmonary MRI with Ultra-Short TE Using Single- and Dual-Echo Methods: Comparison of Capability for Quantitative Differentiation of Non- or Minimally Invasive Adenocarcinomas from Other Lung Cancers with That of Standard-Dose Thin-Section CT

Yoshiharu Ohno,Masao Yui,Kaori Yamamoto,Masato Ikedo,Yuka Oshima,Nayu Hamabuchi,Satomu Hanamatsu,Hiroyuki Nagata,Takahiro Ueda,Hirotaka Ikeda,Daisuke Takenaka,Takeshi Yoshikawa,Yoshiyuki Ozawa,Hiroshi Toyama

EUROPEAN RADIOLOGYno. 2 (2024): 1065-1076

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Three-Dimensional Gradient-Echo-Based Amide Proton Transfer-Weighted Imaging of Brain Tumors: Comparison With Two-Dimensional Spin-Echo-Based Amide Proton Transfer-Weighted Imaging

Kazuhiro Murayama,Yoshiharu Ohno,Masao Yui,Kaori Yamamoto,Masato Ikedo,Shigeo Ohba,Satomu Hanamatsu,Akiyoshi Iwase,Hirotaka Ikeda,Yuichi Hirose,Hiroshi Toyama

J Comput Assist Tomogr（2023）

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Reverse Encoding Distortion Correction for Diffusion-Weighted MRI: Efficacy for Improving Image Quality and ADC Evaluation for Differentiating Malignant from Benign Areas in Suspected Prostatic Cancer Patients

Takahiro Ueda,Yoshiharu Ohno,Maiko Shinohara,Kaori Yamamoto,Masato Ikedo,Masao Yui,Takeshi Yoshikawa,Daisuke Takenaka, Sayuri Ishida,Minami Furuta,Takahiro Matsuyama,Hiroyuki Nagata,Hirotaka Ikeda,Yoshiyuki Ozawa,Hiroshi Toyama

European journal of radiology (2023): 110764-110764

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Deep Learning Reconstruction for Brain Diffusion-Weighted Imaging: Efficacy for Image Quality Improvement, Apparent Diffusion Coefficient Assessment, and Intravoxel Incoherent Motion Evaluation in in Vitro and in Vivo Studies

Satomu Hanamatsu,Kazuhiro Murayama,Yoshiharu Ohno,Kaori Yamamoto,Masao Yui,Hiroshi Toyama

Diagnostic and Interventional Radiology（2023）

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Head and Neck DWI: Comparison of Image Quality and Diagnostic Performance among FASE and EPI Sequences with and Without DLR

Hirotaka Ikeda,Yoshiharu Ohno,Kaori Yamamoto,Kazuhiro Murayama,Masato Ikedo,Masao Yui,Satomu Hanamatsu, Saki Takeda,Akiyoshi Iwase,Yuki Obama, Takahiro Ueda, Hiroyuki Nagata,Hiroshi Toyama

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2023)

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