日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Ultra-fast whole-brain T2-weighted imaging in 7 seconds using dual-type deep learning reconstruction with single-shot acquisition: clinical feasibility and comparison with conventional methods

利用双类型深度学习重建和单次采集技术,在7秒内实现超快速全脑T2加权成像:临床可行性及与传统方法的比较

Ikebe, Yohei; Fujima, Noriyuki; Kameda, Hiroyuki; Harada, Taisuke; Shimizu, Yukie; Kwon, Jihun; Yoneyama, Masami; Kudo, Kohsuke

Oxytocin modulation of the insular cortex: implications for social cognition and neurodevelopmental disorders

催产素对岛叶皮层的调节:对社会认知和神经发育障碍的影响

Fujima, Shuhei; Sato, Masaaki

Clinical Significance of Endoscopic Improvement at 6 Months in Patients With Ulcerative Colitis Treated With Ustekinumab: A Retrospective Real-world Analysis

乌司奴单抗治疗溃疡性结肠炎患者6个月时内镜改善的临床意义:一项回顾性真实世界分析

Morikubo, Hiromu; Matsuura, Minoru; Komatsu, Haruka; Fujima, Takeshi; Ogihara, Ryota; Oguri, Noriaki; Mitsui, Tatsuya; Saito, Daisuke; Hayashida, Mari; Miyoshi, Jun; Hisamatsu, Tadakazu

Dual-type deep learning-based image reconstruction for advanced denoising and super-resolution processing in head and neck T2-weighted imaging

基于双类型深度学习的头颈部T2加权成像图像重建方法,用于高级去噪和超分辨率处理

Fujima, Noriyuki; Shimizu, Yukie; Ikebe, Yohei; Kameda, Hiroyuki; Harada, Taisuke; Tsushima, Nayuta; Kano, Satoshi; Homma, Akihiro; Kwon, Jihun; Yoneyama, Masami; Kudo, Kohsuke

Accelerating FLAIR imaging via deep learning reconstruction: potential for evaluating white matter hyperintensities

利用深度学习重建加速FLAIR成像:评估白质高信号的潜力

Nishioka, Noriko; Shimizu, Yukie; Kaneko, Yukio; Shirai, Toru; Suzuki, Atsuro; Amemiya, Tomoki; Ochi, Hisaaki; Bito, Yoshitaka; Takizawa, Masahiro; Ikebe, Yohei; Kameda, Hiroyuki; Harada, Taisuke; Fujima, Noriyuki; Kudo, Kohsuke

Applications of artificial intelligence in interventional oncology: An up-to-date review of the literature

人工智能在介入肿瘤学中的应用:最新文献综述

Matsui, Yusuke; Ueda, Daiju; Fujita, Shohei; Fushimi, Yasutaka; Tsuboyama, Takahiro; Kamagata, Koji; Ito, Rintaro; Yanagawa, Masahiro; Yamada, Akira; Kawamura, Mariko; Nakaura, Takeshi; Fujima, Noriyuki; Nozaki, Taiki; Tatsugami, Fuminari; Fujioka, Tomoyuki; Hirata, Kenji; Naganawa, Shinji

Advancing clinical MRI exams with artificial intelligence: Japan's contributions and future prospects

利用人工智能推进临床磁共振成像检查:日本的贡献和未来展望

Fujita, Shohei; Fushimi, Yasutaka; Ito, Rintaro; Matsui, Yusuke; Tatsugami, Fuminari; Fujioka, Tomoyuki; Ueda, Daiju; Fujima, Noriyuki; Hirata, Kenji; Tsuboyama, Takahiro; Nozaki, Taiki; Yanagawa, Masahiro; Kamagata, Koji; Kawamura, Mariko; Yamada, Akira; Nakaura, Takeshi; Naganawa, Shinji

Schottky-gated transistors using chitosan extracted from marine crab

利用从海蟹中提取的壳聚糖制备肖特基门控晶体管

Fukuhara, Mikio; Yokotsuka, Tomonori; Kobayashi, Nobuyuki; Kumadaki, Masahiko; Fujima, Nobuhisa; Hashida, Toshiyuki

Electronic conduction in water-adsorbed kenaf cellulose

水吸附洋麻纤维素的电子传导

Fukuhara, Mikio; Yokotsuka, Tomonori; Samoto, Tetsuo; Sakakibara, Keita; Fujima, Nobuhisa; Hashida, Toshiyuki

Comparative evaluation of four reconstruction techniques for prostate T2-weighted MRI: Sensitivity encoding, compressed sensing, deep learning, and super-resolution

前列腺T2加权MRI重建技术的四种比较评价:灵敏度编码、压缩感知、深度学习和超分辨率

Nishioka, Noriko; Fujima, Noriyuki; Tsuneta, Satonori; Kato, Daisuke; Kamiishi, Takashi; Yoshikawa, Masato; Kimura, Rina; Sakamoto, Keita; Matsumoto, Ryuji; Abe, Takashige; Kwon, Jihun; Yoneyama, Masami; Kudo, Kohsuke