1. The Third Asian Radiology Summit

   • Noriyuki Tomiyama
   • Kei Yamada
   • Hiroshi Honda

   Editorial 12 December 2018 Pages: 1 - 8

   

2. How will “democratization of artificial intelligence” change the future of radiologists?

   • Yasuyuki Kobayashi
   • Maki Ishibashi
   • Hitomi Kobayashi

   Invited Review 21 December 2018 Pages: 9 - 14

   

3. Technical and clinical overview of deep learning in radiology

   • Daiju Ueda
   • Akitoshi Shimazaki
   • Yukio Miki

   Invited Review 01 December 2018 Pages: 15 - 33

   

4. Machine learning studies on major brain diseases: 5-year trends of 2014–2018

   • Koji Sakai
   • Kei Yamada

   Invited Review 29 November 2018 Pages: 34 - 72

   

5. Improvement of image quality at CT and MRI using deep learning

   • Toru Higaki
   • Yuko Nakamura
   • Kazuo Awai

   Invited Review 29 November 2018 Pages: 73 - 80

   

6. The feasibility of dedicated breast PET for the assessment of residual tumor after neoadjuvant chemotherapy

   • Hiromi Koyasu
   • Satoshi Goshima
   • Masayuki Matsuo

   Original Article 03 November 2018 Pages: 81 - 87

   

7. 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

   Original Article 15 October 2018 Pages: 88 - 94

   

8. 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

   Original Article 15 October 2018 Pages: 95 - 101