Ausgabe 1/2019
Special Issue: Artificial Intelligence
Inhalt (8 Artikel)
The Third Asian Radiology Summit
Noriyuki Tomiyama, Kei Yamada, Yoshiyuki Watanabe, Hiroshi Honda
How will “democratization of artificial intelligence” change the future of radiologists?
Yasuyuki Kobayashi, Maki Ishibashi, Hitomi Kobayashi
Technical and clinical overview of deep learning in radiology
Daiju Ueda, Akitoshi Shimazaki, Yukio Miki
Machine learning studies on major brain diseases: 5-year trends of 2014–2018
Koji Sakai, Kei Yamada
Improvement of image quality at CT and MRI using deep learning
Toru Higaki, Yuko Nakamura, Fuminari Tatsugami, Takeshi Nakaura, Kazuo Awai
The feasibility of dedicated breast PET for the assessment of residual tumor after neoadjuvant chemotherapy
Hiromi Koyasu, Satoshi Goshima, Yoshifumi Noda, Hironori Nishibori, Makoto Takeuchi, Kengo Matsunaga, Tetsuya Yamada, Masayuki Matsuo
Hilar and mediastinal sarcoid-like reaction after the treatment of malignant tumors: imaging features and natural course on 18F-FDG-PET/CT
Yo Kaneko, Hiroki Kato, Masayuki Matsuo
The effectiveness of additional lead-shielding drape and low pulse rate fluoroscopy in protecting staff from scatter radiation during cardiac resynchronization therapy (CRT)
Yoshiaki Morishima, Koichi Chida, Yoshiaki Katahira