Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Nihon Hoshasen Gijutsu Gakkai Zasshi|February 21, 2022
[Development of the DSA Method for Coronary Angiography Using Deep Learning Techniques]Megumi Yamamoto, Yasuhiko Okura
Nihon Hoshasen Gijutsu Gakkai Zasshi|November 25, 2010
[Relationship between image quality and signal detectability in CR and FPD systems]Miho Kawaharada, Takayuki Ishida, Yasuhiko Okura, et al.
Nihon Hoshasen Gijutsu Gakkai Zasshi|March 21, 2014
[Development of a computer-aided diagnostic system for detecting multiple sclerosis using magnetic resonance images]Susumu Tachinaga, Yuuki Hiura, Ikuo Kawashita, et al.
Nihon Hoshasen Gijutsu Gakkai Zasshi|November 21, 2014
[Influence of interest region and interest value settings on exposure index-analysis using chest clinical images]Mitsuhiro Nakamae, Yusuke Miyajima, Tomomi Nakano, et al.
Radiation Protection Dosimetry|August 30, 2023
Utility of lower tube voltage scans in reducing exposure of healthcare workers within computed tomography room to scattered radiationShinichi Arao, Takanori Masuda, Takayuki Oku, et al.
Nihon Hoshasen Gijutsu Gakkai Zasshi|May 3, 2011
[Computerized classification of pneumoconiosis radiographs based on grey level co-occurrence matrices]Yoshifumi Masumoto, Ikuo Kawashita, Yasuhiko Okura, et al.
Journal of Digital Imaging|March 21, 2008
Development of digital subtraction angiography for coronary arteryMegumi Yamamoto, Yasuhiko Okura, Masaharu Ishihara, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|March 7, 2003
PACS development in AsiaKiyonari Inamura, Susumu Kousaka, Yuichiro Yamamoto, et al.
Journal of Digital Imaging|November 5, 2002
Evaluation of the effect of varying MPEG-2 compression ratios on digital coronary angiographic assessment of stenosis severityYasuhiko Okura, Yasushi Matsumura, Kuniyuki Hidaka, et al.
Nihon Hoshasen Gijutsu Gakkai Zasshi|May 8, 2009
[Development of comprehensive image processing technique for differential diagnosis of liver disease by using multi-modality images-pixel-based cross-correlation method using a profile-]Akira Inoue, Yasuhiko Okura, Ikuo Kawashita, et al.
Pageof 2