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Life Sciences|January 7, 2021
Safe and low-dose but therapeutically effective adenovirus-mediated hepatocyte growth factor gene therapy for type 1 diabetes in miceEriko Matsuda, Yuki Obama, Ken-Ichiro KosaiJournal of Nanoscience and Nanotechnology|July 26, 2016
Spectrally-Narrowed Emissions from Organic Crystals Having a One-Dimensional Grating on Their SurfaceHiroyuki Yamamoto, Keiji Obara, Shohei Higashihara, et al.The British Journal of Radiology|February 2, 2021
Overview of MRI for pulmonary functional imagingYoshiharu Ohno, Satomu Hanamatsu, Yuki Obama, et al.Magnetic Resonance Imaging|August 7, 2022
MR imaging for shoulder diseases: Effect of compressed sensing and deep learning reconstruction on examination time and imaging quality compared with that of parallel imagingYuki Obama, Yoshiharu Ohno, Kaori Yamamoto, et al.Radiology|February 1, 2022
Deep Learning Reconstruction of Diffusion-weighted MRI Improves Image Quality for Prostatic ImagingTakahiro Ueda, Yoshiharu Ohno, Kaori Yamamoto, et al.Springerplus|March 21, 2015
Diagnosis of brain tumors using dynamic contrast-enhanced perfusion imaging with a short acquisition timeTakashi Abe, Yoshifumi Mizobuchi, Kohei Nakajima, et al.Translational Research : the Journal of Laboratory and Clinical Medicine|July 5, 2024
An optimal promoter regulating cytokine transgene expression is crucial for safe and effective oncolytic virus immunotherapyHirotaka Kawakami, Nobuhiro Ijichi, Yuki Obama, et al.Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine|June 25, 2015
Clinical Significance of Discrepancy between Arterial Spin Labeling Images and Contrast-enhanced Images in the Diagnosis of Brain TumorsTakashi Abe, Yoshifumi Mizobuchi, Wataru Sako, et al.BMC Gastroenterology|December 12, 2018
The diagnostic ability of SPECT/CT fusion imaging for gastrointestinal bleeding: a retrospective studyYoichi Otomi, Hideki Otsuka, Kaori Terazawa, et al.European Journal of Radiology|December 4, 2020
Compressed sensing and deep learning reconstruction for women's pelvic MRI denoising: Utility for improving image quality and examination time in routine clinical practiceTakahiro Ueda, Yoshiharu Ohno, Kaori Yamamoto, et al.Pageof 2