Computer Methods and Programs in Biomedicine计算机方法与程序在生物医学中的应用

Computer Methods and Programs in Biomedicine(英文缩写 COMPUT METH PROG BIO),ISSN 0169-2607,eISSN 1872-7565,中文译名:计算机方法与程序在生物医学中的应用 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。

2026 年数据 · 影响因子
6.400
JCR 分区
Q1
CAS 分区
B2
近一年发文量
500
本站 PubMed 收录统计

发文量统计区间:2025-09-24 至 2026-09-24,按本站收录文献的发表日期统计。

ISSN: 0169-2607 · eISSN: 1872-7565 · 缩写: COMPUT METH PROG BIO ·中文: 计算机方法与程序在生物医学中的应用

期刊介绍

选择期刊介绍栏目

期刊简介

《Computer Methods and Programs in Biomedicine》是一本专注于生物医学领域计算方法与软件程序开发应用的国际期刊。主要发表将计算机技术、数学模型和信息技术应用于基础医学、临床诊疗及健康管理的原创研究,涵盖医学影像分析、生理信号处理、生物信息学、临床决策支持系统等方向。读者群包括生物医学工程师、医学物理学家、临床研究人员及计算机科学家,适合跨学科方法学与转化应用类成果的交流。

研究方向

期刊涵盖生物医学计算方法的理论、算法与软件实现,主题包括医学图像处理与可视化、生理建模与仿真、生物信号分析、人工智能与机器学习在医学中的应用、临床信息系统及移动健康技术。论文类型以原创研究为主,兼有综述和方法学短文,强调方法创新与临床或生物学验证。

期刊特色

研究取向偏重方法学创新与可重复的软件实现,要求算法描述清晰、实验设计合理,并展示在真实生物医学数据上的效果。论文通常包含代码或程序可用性说明,适合从事医学信息学、生物医学工程和临床数据分析的研究者投稿,也适合希望了解计算技术如何解决医学问题的跨学科读者。

投稿难度

投稿难度中等偏上,期刊对方法新颖性、实验严谨性和临床相关性均有较高要求。由于跨学科属性,建议在投稿前明确方法学贡献,补充充分的对比实验和统计分析,并确保软件或算法细节可复现。对于纯应用或验证性工作,需突出其相对于现有方法的改进或独特价值,不宜仅凭分区判断录用可能性。

历年影响因子趋势

JCR 数据年份影响因子JCR 分区
20217.027Q1
20226.100Q1
20234.900Q1
20244.800Q1
20256.400Q1

Computer Methods and Programs in Biomedicine 最新收录文献

  1. JCR分区: Q1 CAS分区: B2 影响因子: 6.4

    1. Interpretable Machine Learning Model Using Oxygenation and Respiratory Variability to Predict Hemorrhagic Stroke Mortality: A Multicenter Validation Study.

    作者:
    Jing Feng, Hongyu Zhang, Jianheng Gu, Chang He, Mengsi Zhan, Hongbo San, Baojian Wei
    日期:
    2026-11-01

    Hemorrhagic stroke has high in-hospital mortality, but early risk prediction remains suboptimal. While prior studies have focused on ventilation strategies and mechanical support, limited research has…

  2. JCR分区: Q1 CAS分区: B2 影响因子: 6.4

    2. Applications of quantum AI in brain disorder diagnosis: A systematic review.

    作者:
    Mahboobeh Jafari, Zhaohui Tang, U Rajendra Acharya, Yan Li
    日期:
    2026-11-01

    Brain disorder diagnosis and prediction remain challenging because neuroimaging, electrophysiological, behavioral, and multimodal data are high-dimensional, noisy, heterogeneous, and limited by small …

  3. JCR分区: Q1 CAS分区: B2 影响因子: 6.4

    3. Can we really trust generative models in healthcare? A systematic review of uncertainty quantification in generative AI for medical imaging.

    作者:
    Alen Shahini, Silvia Seoni, Alessandra Manzin, Martina Oria, Anjan Gudigar, U Raghavendra, Abdulkadir Sengur, Rajendra Acharya, Massimo Salvi
    日期:
    2026-10-01

    Generative AI is transforming medical imaging research through synthesis, enhancement, and reconstruction of clinical images. While these advances show promise in addressing data scarcity and supporti…

  4. JCR分区: Q1 CAS分区: B2 影响因子: 6.4

    4. Network dynamics under neuronal degradation: A comparison between modular and small-world topologies.

    作者:
    G T P Agostini, L H A Monteiro
    日期:
    2026-10-01

    The human brain exhibits a complex organization that combines local segregation with global integration, typically characterized by modular structure and small-world topology. Structural alterations s…

  5. JCR分区: Q1 CAS分区: B2 影响因子: 6.4

    5. Machine learning-based extraction of microstructural parameters from diffusion-weighted imaging starting from realistic in silico cellular substrates: Application in breast and prostate cancer.

    作者:
    Chiara Tinelli, Chiara Scotti, Fabio Casaccio, Marko Zlatic, Guido Baroni, Letizia Morelli, Chiara Paganelli
    日期:
    2026-10-01

    Diffusion-Weighted Magnetic Resonance Imaging (DW-MRI) is a key tool for probing tissue microstructure by measuring water motion. Given the invasiveness and limited sampling of biopsies, Apparent Diff…

  6. JCR分区: Q1 CAS分区: B2 影响因子: 6.4

    6. IEU-Net: Sequence learning of internal texture and external morphology for sonographic kidney segmentation.

    作者:
    Chung-Ming Lo, Yu-Chi Chang, Yi-Kong Chen, Hsing Luh, Ping-Hsun Wu
    日期:
    2026-10-01

    The global prevalence rate of chronic kidney disease (CKD) is on the rise, posing a significant public health concern. Renal ultrasound is an important assessment tool for clinicians. Using automatic …

  7. JCR分区: Q1 CAS分区: B2 影响因子: 6.4

    7. Natural sit-to-stand control for biomimetic musculoskeletal robots with synergy-based deep reinforcement learning and bio-inspired reward shaping.

    作者:
    Yaru Chen, Liangchi Zhan, Yongxuan Wang, Xiaohong Wang, Wenqian Chen, Rong Liu
    日期:
    2026-10-01

    Bio-inspired musculoskeletal humanoids offer inherent compliance and robustness, yet their control remains challenging due to nonlinear dynamics, redundant muscle-tendon actuation, and strong inter-jo…

  8. JCR分区: Q1 CAS分区: B2 影响因子: 6.4

    8. Forecasting and real-time detection of neonatal seizures: A machine learning perspective.

    作者:
    Tamara Skoric, Marija Djermanovic, John M O'Toole, Maarten De Vos, Slobodan Spasojevic
    日期:
    2026-10-01

    Recognition and treatment of neonatal seizures, primarily diagnosed using EEG, are essential to protect the developing brain, yet only 11% of seizures are treated within 1 hour of onset. Developing se…

  9. JCR分区: Q1 CAS分区: B2 影响因子: 6.4

    9. Metabolic splicing subtypes elucidate metastatic trajectories and clinical biomarkers in adrenocortical carcinoma.

    作者:
    Min Zou, Rifang Lan, Zhengchun Huo, Shaokang Li, Yingli Lv, Lei Yang
    日期:
    2026-10-01

    Adrenocortical carcinoma (ACC) is a rare but highly aggressive malignancy, and alternative splicing (AS) serves as a key post-transcriptional regulatory mechanism involved in its malignant progression…

  10. JCR分区: Q1 CAS分区: B2 影响因子: 6.4

    10. ETD-XAI: An explainable two-stage EEG-biochemical framework for pediatric tic disorders.

    作者:
    Liping Li, Jianping Wang, Kunying Zhou, Qian Li, Haoyu Wu, Huimin Song, Xiaoxia Fang
    日期:
    2026-10-01

    Tic disorders in children are mainly assessed by behavioral observation and rating scales, with limited interpretable physiological biomarkers. EEG-based modeling and vitamin D-calcium-phosphorus indi…

在 Computer Methods and Programs in Biomedicine 中搜索更多文献

支持中英文检索 · 智能翻译 · 影响因子 · PDF 下载 · AI 文献阅读

指标接近的期刊