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

Beneficial effects of SGLT1/2 and SGLT2 inhibitors on vaso-occlusive events and organ damage in sickle cell disease mice

SGLT1/2 和 SGLT2 抑制剂对镰状细胞病小鼠血管阻塞事件和器官损伤的有益作用

Jin, Bo-Ram; Kumari, Tripti; Lee, Jingu; Kim, Jae-Sung; Bokorova, Radka; Gheware, Atish; Ripoll, Carla Valenzuela; Sargazi, Alireza; Jeong, Soi; Hyun, Young-Min; Saif Ur Rehman, Sana; Razani, Babak; Lee, Janet S; Javaheri, Ali; Cho, Jaehyung

O-GlcNAcylation of XRCC4 controls its stability and confers resistance to DNA double-strand break damage in cancer cells.

XRCC4 的 O-GlcNAc 化控制其稳定性,并赋予癌细胞抵抗 DNA 双链断裂损伤的能力。

Ko Jeong Yeon, Kweon Tae Hyun, Jung Hyeryeon, Kang Jingu, Kim Yeolhoe, Kim Yun Ju, Shin Donghyuk, Yang Seong Wook, Lee Myeong Min, Hong Jun Young, Lim Jae-Min, Yi Eugene C, Cho Jin Won, Yang Won Ho

Fractal-driven self-supervised learning enhances early-stage lung cancer GTV segmentation: a novel transfer learning framework

分形驱动的自监督学习增强早期肺癌GTV分割:一种新型迁移学习框架

Tozuka, Ryota; Kadoya, Noriyuki; Yasunaga, Arata; Saito, Masahide; Komiyama, Takafumi; Nemoto, Hikaru; Ando, Hidetoshi; Onishi, Hiroshi; Jingu, Keiichi

Long-term intelligence after high-dose radiotherapy to the primary site versus chemotherapy and whole-ventricle radiotherapy in patients with germinoma

生殖细胞瘤患者接受原发部位高剂量放射治疗与接受化疗联合全脑室放射治疗后的长期智力状况比较

Kanamori, Masayuki; Sugawara, Yumi; Shimoda, Yoshiteru; Iizuka, Osamu; Osada, Yoshinari; Yamashita, Shota; Shibahara, Ichiyo; Umezawa, Rei; Mori, Naoko; Saito, Ryuta; Sonoda, Yukihiko; Kumabe, Toshihiro; Jingu, Keiichi; Mugikura, Shunji; Suzuki, Kyoko; Endo, Hidenori

Deep learning-based auto-contouring for organs at risk in three-dimensional image-guided brachytherapy for cervical cancer and endometrial cancer

基于深度学习的三维图像引导近距离放射治疗中宫颈癌和子宫内膜癌危及器官的自动勾画

Takahashi, Kirika; Takeda, Ken; Takagi, Hisamichi; Niiyama, Akari; Kadoya, Noriyuki; Katsuta, Yoshiyuki; Arai, Kazuhiro; Tanaka, Shohei; Takahashi, Noriyoshi; Yamamoto, Takaya; Umezawa, Rei; Jingu, Keiichi

Generalizability of deep learning-based dose conversion model in proton beam therapy

基于深度学习的剂量转换模型在质子束治疗中的泛化能力

Kato, Ryohei; Kadoya, Noriyuki; Kato, Takahiro; Tozuka, Ryota; Ogawa, Shuta; Murakami, Masao; Jingu, Keiichi

Utilization of radiotherapy and hypofractionated radiotherapy in Japan: long-term trends and the influence of COVID-19 pandemic

日本放射治疗和低分割放射治疗的应用:长期趋势及新冠疫情的影响

Takeda, Kazuya; Umezawa, Rei; Yamamoto, Takaya; Takahashi, Noriyoshi; Okuda, Shinsaku; Nakamura, Katsumasa; Jingu, Keiichi

Cost-effectiveness analysis of intensity modulated radiation therapy versus robot-assisted radical prostatectomy for patients with low-risk prostate cancer in Japan

日本低危前列腺癌患者采用调强放射治疗与机器人辅助根治性前列腺切除术的成本效益分析

Igarashi, Ataru; Jingu, Keiichi; Ito, Kaoru; Koba, Ritsuko; Lee, David W

Evaluation of deliverable dose-mimicking automated volumetric arc radiation therapy planning for stage III non-small cell lung cancer patients: comparison with a commercial DVH-predicted automated planning system

对适用于 III 期非小细胞肺癌患者的可实现剂量模拟自动容积弧形放射治疗计划进行评估:与商用 DVH 预测自动计划系统的比较

Nakajima, Takeru; Kadoya, Noriyuki; Tozuka, Ryota; Kondo, Masaki; Tanaka, Shohei; Arai, Kazuhiro; Katsuta, Yoshiyuki; Hoshino, Taichi; Yamamoto, Takaya; Jingu, Keiichi

Evaluating the capability of large language models in radiotherapy through professional certification examinations in Japan

日本通过专业认证考试评估大型语言模型在放射治疗中的能力

Kadoya, Noriyuki; Takahashi, Yoshiyuki; Koga, Seiya; Tanno, Hikaru; Arai, Kazuhiro; Tanaka, Shohei; Katsuta, Yoshiyuki; Harada, Hinako; Omata, So; Yamamoto, Takaya; Umezawa, Rei; Takeda, Ken; Jingu, Keiichi