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M

Masatoyo Nakajo

kagoshima university
H指数:24
被引数:1,814

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荣誉奖项

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Electron Density and Effective Atomic Number as Quantitative Biomarkers for Differentiating Malignant Brain Tumors: An Exploratory Study with Machine Learning

电子密度和有效原子序数作为区分恶性脑肿瘤的定量生物标志物: 机器学习的探索性研究

TOMOGRAPHY
IF2.2
2025-10-290
OAAI
Nakano, Tsubasa; Hirahara, Daisuke; Hasegawa, Tomohito; Kamimura, Kiyohisa; Nakajo, Masanori; Kamizono, Junki; Takumi, Koji; Nakajo, Masatoyo; Ejima, Fumitaka; Nakanosono, Ryota; Yamagishi, Ryoji; Kanzaki, Fumiko; Muraoka, Hiroki; Higa, Nayuta; Yonezawa, Hajime; Kitazono, Ikumi; Kwon, Jihun; Pahn, Gregor; Langzam, Eran; Higuchi, Ko; Yoshiura, Takashi
Electron density derived from dual-energy CT for predicting thrombolytic therapeutic efficacy in patients with pulmonary embolism

双能量CT衍生的电子密度在预测肺栓塞患者溶栓治疗效果中的应用

JAPANESE JOURNAL OF RADIOLOGY
IF4.1
2025-02-140
OA
Nagano, Hiroaki; Takumi, Koji; Nagano, Erina; Nakanosono, Ryota; Nakajo, Masatoyo; Kamimura, Kiyohisa; Nakajo, Masanori; Kanzaki, Fumiko; Ejima, Fumitaka; Ayukawa, Takuro; Hasegawa, Tomohito; Nakano, Tsubasa; Hirahara, Mitsuho; Yoshiura, Takashi
Differentiating primary central nervous system lymphoma from glioblastoma by time-dependent diffusion using oscillating gradient
CANCER IMAGING
IF3.5
2023-11-304
OAAI
Kamimura, Kiyohisa; Nakano, Tsubasa; Hasegawa, Tomohito; Nakajo, Masanori; Yamada, Chihiro; Kamimura, Yoshiki; Akune, Kentaro; Ejima, Fumitaka; Ayukawa, Takuro; Nagano, Hiroaki; Takumi, Koji; Nakajo, Masatoyo; Higa, Nayuta; Yonezawa, Hajime; Hanaya, Ryosuke; Kirishima, Mari; Tanimoto, Akihide; Iwanaga, Takashi; Imai, Hiroshi; Feiweier, Thorsten; Yoshiura, Takashi

研究方向

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T
Takashi Yoshiura
H 指数:48论文数:391被引数:8,122
M
Megumi Jinguji
H 指数:16论文数:93被引数:882
M
Masayuki Nakajo
H 指数:41论文数:347被引数:5,828
A
Atsushi Tani
H 指数:15论文数:72被引数:746
K
Koji Takumi
H 指数:21论文数:114被引数:1,363
K
Kiyohisa Kamimura
H 指数:19论文数:83被引数:1,118
Y
Yoriko Kajiya
H 指数:13论文数:52被引数:577
Y
Yoshihiko Fukukura
H 指数:32论文数:131被引数:3,424
F
Fumiko Kanzaki
H 指数:3论文数:21被引数:38
H
Hiroaki Nagano
H 指数:69论文数:767被引数:1.8万