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

Artificial superintelligence alignment in healthcare

人工智能在医疗保健领域的应用

Ueda, Daiju; Walston, Shannon L; Kurokawa, Ryo; Saida, Tsukasa; Honda, Maya; Iima, Mami; Watabe, Tadashi; Yanagawa, Masahiro; Nishioka, Kentaro; Sofue, Keitaro; Sakata, Akihiko; Sugawara, Shunsuke; Kawamura, Mariko; Ito, Rintaro; Takumi, Koji; Oda, Seitaro; Hirata, Kenji; Ide, Satoru; Naganawa, Shinji

Correction: Honda et al. Visual Evaluation of Ultrafast MRI in the Assessment of Residual Breast Cancer After Neoadjuvant Systemic Therapy: A Preliminary Study Association with Subtype. Tomography 2022, 8, 1522-1533

更正:Honda 等人,《新辅助全身治疗后乳腺癌残留评估中超快速 MRI 的视觉评价:与亚型相关的初步研究》,《断层扫描》2022,8,1522-1533。

Honda, Maya; Kataoka, Masako; Iima, Mami; Ota, Rie; Ohashi, Akane; Kishimoto, Ayami Ohno; Miyake, Kanae Kawai; Nickel, Marcel Dominik; Yamada, Yosuke; Toi, Masakazu; Nakamoto, Yuji

Cervical cancer in the modern era: cutting-edge strategies for diagnosis and treatment

现代宫颈癌:诊断和治疗的前沿策略

Saida, Tsukasa; Saitoh, Takashi; Shikama, Ayumi; Hayashi, Michitaka; Ishikawa, Taichi; Iima, Mami; Nakajima, Takahito; Naganawa, Shinji

Time to Consider Diffusion Time: Exploring the Potential of Time-Dependent Diffusion MRI in Breast Cancer Imaging

是时候考虑扩散时间了:探索时间依赖性扩散磁共振成像在乳腺癌成像中的潜力

Kataoka, Masako; Iima, Mami

Radiomics-based Machine Learning Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Using Physiologically Decomposed Diffusion-weighted MRI

基于放射组学的机器学习方法利用生理分解的扩散加权磁共振成像预测乳腺癌新辅助化疗反应

Gilad, Maya; Partridge, Savannah C; Iima, Mami; Md, Rebecca Rakow-Penner; Freiman, Moti

Illuminating radiogenomic signatures in pediatric-type diffuse gliomas: insights into molecular, clinical, and imaging correlations. Part I: high-grade group

儿童弥漫性胶质瘤放射基因组学特征的揭示:分子、临床和影像学相关性的见解。第一部分:高级别组

Kurokawa, Ryo; Hagiwara, Akifumi; Ueda, Daiju; Ito, Rintaro; Saida, Tsukasa; Honda, Maya; Nishioka, Kentaro; Sakata, Akihiko; Yanagawa, Masahiro; Takumi, Koji; Oda, Seitaro; Ide, Satoru; Sofue, Keitaro; Sugawara, Shunsuke; Watabe, Tadashi; Hirata, Kenji; Kawamura, Mariko; Iima, Mami; Naganawa, Shinji

Illuminating radiogenomic signatures in pediatric-type diffuse gliomas: insights into molecular, clinical, and imaging correlations. Part II: low-grade group

儿童弥漫性胶质瘤放射基因组学特征的揭示:分子、临床和影像学相关性的见解。第二部分:低级别组

Kurokawa, Ryo; Hagiwara, Akifumi; Ito, Rintaro; Ueda, Daiju; Saida, Tsukasa; Sakata, Akihiko; Nishioka, Kentaro; Sugawara, Shunsuke; Takumi, Koji; Watabe, Tadashi; Ide, Satoru; Kawamura, Mariko; Sofue, Keitaro; Hirata, Kenji; Honda, Maya; Yanagawa, Masahiro; Oda, Seitaro; Iima, Mami; Naganawa, Shinji

Fat-signal suppression in breast diffusion-weighted imaging: the Good, the Bad, and the Ugly

乳腺弥散加权成像中的脂肪信号抑制:利弊分析

Le Bihan, Denis; Iima, Mami; Partridge, Savannah C

Advanced breast diffusion-weighted imaging: what are the next steps? A proposal from the EUSOBI International Breast Diffusion-weighted Imaging working group

高级乳腺弥散加权成像:下一步是什么?EUSOBI国际乳腺弥散加权成像工作组的提案

Honda, Maya; Sigmund, Eric E; Le Bihan, Denis; Pinker, Katja; Clauser, Paola; Karampinos, Dimitrios; Partridge, Savannah C; Fallenberg, Eva; Martincich, Laura; Baltzer, Pascal; Mann, Ritse M; Camps-Herrero, Julia; Iima, Mami

Standardization and advancements efforts in breast diffusion-weighted imaging

乳腺扩散加权成像的标准化和进展

Iima, Mami; Honda, Maya; Satake, Hiroko; Kataoka, Masako