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期刊名:Meta-radiology

缩写:META-RADIOLOGY

ISSN:N/A

e-ISSN:2950-1628

IF/分区:13.3/Q1

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共收录本刊相关文章索引8条
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Zhengyi Lu,Hao Liang,Ming Lu et al. Zhengyi Lu et al.
Ultrahigh field (UHF) Magnetic Resonance Imaging (MRI) offers an elevated signal-to-noise ratio (SNR), enabling exceptionally high spatial resolution that benefits both clinical diagnostics and advanced research. However, the jump to higher...
Jingyuan Chen,Yunze Yang,Chenbin Liu et al. Jingyuan Chen et al.
In modern radiation therapy for head and neck cancers, the treatment related toxicities remain a significant clinical challenge. This review critically evaluates the evolution of data-driven approaches in predicting patient outcomes in head...
Haoteng Tang,Guixiang Ma,Yanfu Zhang et al. Haoteng Tang et al.
Recent years have shown great merits in utilizing neuroimaging data to understand brain structural and functional changes, as well as its relationship to different neurodegenerative diseases and other clinical phenotypes. Brain networks, de...
Yuxuan Liang,Hanqing Chao,Jiajin Zhang et al. Yuxuan Liang et al.
Fairness of artificial intelligence and machine learning models, often caused by imbalanced datasets, has long been a concern. While many efforts aim to minimize model bias, this study suggests that traditional fairness evaluation methods m...
Anam Nazir,Muhammad Nadeem Cheeema,Ze Wang Anam Nazir
Missing data are a common problem for large cohort or longitudinal research and have been handled through data imputation. Based on simplified models such as linear or nonlinear interpolations, current imputation methods may not be accurate...
Chenbin Liu,Zhengliang Liu,Jason Holmes et al. Chenbin Liu et al.
The emergence of artificial general intelligence (AGI) is transforming radiation oncology. As prominent vanguards of AGI, large language models (LLMs) such as GPT-4 and PaLM 2 can process extensive texts and large vision models (LVMs) such ...
Natalie Wiseman,Armin Iraji,E Mark Haacke et al. Natalie Wiseman et al.
Introduction: Functional connectivity in the brain is often studied with blood oxygenation level dependent (BOLD) resting state functional magnetic resonance imaging (rsfMRI), but the BOLD signal is several steps removed ...
Anam Nazir,Ze Wang Anam Nazir
Large Language Models (LLMs) especially when combined with Generative Pre-trained Transformers (GPT) represent a groundbreaking in natural language processing. In particular, ChatGPT, a state-of-the-art conversational language model with a ...