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Japanese Journal of Radiology

Volume 37, January 2019, Issue 1, Pages 1-101

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1. The Third Asian Radiology Summit

Tác giả

Noriyuki Tomiyama, Kei Yamada, Yoshiyuki Watanabe.

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

Tác giả

Yasuyuki Kobayashi, Maki Ishibashi, Hitomi Kobayashi.

3. Technical and clinical overview of deep learning in radiology

Tác giả

Daiju Ueda, Akitoshi Shimazaki, Yukio Miki.

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

Tác giả

Koji Sakai, Kei Yamada.

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

Tác giả

Toru Higaki, Yuko Nakamura, Fuminari Tatsugami.

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

Tác giả

Hiromi Koyasu, Satoshi Goshima, Yoshifumi Noda.

7. Hilar and mediastinal sarcoid-like reaction after the treatment of malignant tumors: imaging features and natural course on 18F-FDG-PET/CT

Tác giả

Yo Kaneko, Hiroki Kato, Masayuki Matsuo.

8. The effectiveness of additional lead-shielding drape and low pulse rate fluoroscopy in protecting staff from scatter radiation during cardiac resynchronization therapy (CRT)

Tác giả

Yoshiaki Morishima, Koichi Chida, Yoshiaki Katahira.