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Medical image computing for next-generation healthcare technology

Medical image computing for next-generation healthcare technology
下一代医疗保健技术的医学图像计算
批准号:
EP/M020533/1
负责人:
Daniel Alexander
金额:
$187.6万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2015
资助国家:
英国
项目状态:
已结题
起止时间:
2015 至 --

项目摘要

项目成果

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中文摘要
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英文摘要
At the heart of this platform is a vision of the future of medical technology enabled by the increasing availability of rich and diverse data from large-scale data collection initiatives. The vision is to exploit this data mass to enrich sparse data acquired at point of care. For example, a single clinical MRI or ultrasound scan, together with subject-specific clinical data (age, sex, symptoms, genetics) can index a centralised data mass to infer likely diagnosis, prognosis, and treatment outcomes by matching to similar individuals about whom much more is known. The same paradigm further enables cheap and/or small and/or low-power devices able to acquire data in non-specialist locations, such as portable or hand-held scanners, or tiny imaging devices in surgical instruments. Platform funding will maintain our world-leading activities in a range of medical image computing topics, support alignment of currently distinct strands of work for mutual short-term benefit, and develop key enabling technology and demonstrators of our long-term vision. Our current work develops state of the art imaging technology, image analysis techniques, and mathematical and computational models that maximise the information contained in and derived from large data sets. We also develop a range of automated diagnostic systems and surgical support systems that can demonstrate the benefits of the data-driven paradigm.Platform funding supports the career development of the applicants, a pool of associated academic staff, talented post-doctoral researchers, and students coming through an associated EPSRC Centre for Doctoral Training in Medical Imaging. The platform provides opportunities for all to develop new ideas crossing boundaries between different topics, while contributing to a central long-term vision that supports a variety of future research careers. Competitive allocation of resource under close mentorship of senior colleagues instils early-career researchers with essential academic skills required for successful future careers. It further enhances the career progression of our senior staff by supporting opportunities to acquire new skills, establish new collaborations, explore commercialisation, and recruit the best staff from around the world when opportunities arise.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1186/s12911-021-01693-6
发表时间: 2021-12-08
期刊: BMC medical informatics and decision making
影响因子: 3.5
作者: [Alexander N, Alexander DC, Barkhof F, Denaxas S]
通讯作者: Denaxas S
DOI: 10.1016/j.neuroimage.2021.118183
发表时间: 2021-08-15
期刊: NeuroImage
影响因子: 5.7
作者: [Afzali M, Nilsson M, Palombo M, Jones DK]
通讯作者: Jones DK
Additional file 1 of Identifying and evaluating clinical subtypes of Alzheimer's disease in care electronic health records using unsupervised machine learning
使用无监督机器学习识别和评估护理电子健康记录中阿尔茨海默病临床亚型的附加文件 1
DOI: 10.6084/m9.figshare.17149693
发表时间: 2021
期刊:
影响因子: --
作者: [Alexander N]
通讯作者: Alexander N
Application of Convolutional Neural Network for Semantic Segmentation of Bandung Urban Scenes
卷积神经网络在万隆城市场景语义分割中的应用
DOI: 10.1109/icodse56892.2022.9972006
发表时间: 2022
期刊:
影响因子: --
作者: [Alexander D]
通讯作者: Alexander D
6
    Assessing Placental Structure and Function by Unified Fluid Mechanical Modelling and in-vivo MRI
    • 批准号:
      EP/V034537/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $143.22万
    • 财政年份:
      2022
    • 负责人:
      Daniel Alexander
    • 依托单位:
    JPND: Early Detection of Alzheimer's Disease Subtypes
    • 批准号:
      MR/T046422/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $56.94万
    • 财政年份:
      2020
    • 负责人:
      Daniel Alexander
    • 依托单位:
    JPND: Stratification of presymptomatic amyotrophic lateral sclerosis: the development of novel imaging biomarkers
    • 批准号:
      MR/T046473/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $50.47万
    • 财政年份:
      2020
    • 负责人:
      Daniel Alexander
    • 依托单位:
    Enabling Clinical Decisions From Low-power MRI In Developing Nations Through Image Quality Transfer
    • 批准号:
      EP/R014019/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $131.95万
    • 财政年份:
      2018
    • 负责人:
      Daniel Alexander
    • 依托单位:
    国内基金
    海外基金
    复流形及其全纯向量丛的若干问题研究
    • 批准号:
      12071035
    • 项目类别:
      面上项目
    • 资助金额:
      52.0万元
    • 批准年份:
      2020
    • 负责人:
      汪志威
    • 依托单位:
    基于CE-3及IMAGE卫星地球等离子体层EUV探测数据的反演研究
    面向英汉双向跨语言图像检索的文本分析关键技术研究
    • 批准号:
      61170095
    • 项目类别:
      面上项目
    • 资助金额:
      57.0万元
    • 批准年份:
      2011
    • 负责人:
      张玥杰
    • 依托单位:
    Raw-Image微小物体高精度位姿测量法
    • 批准号:
      61105029
    • 项目类别:
      青年科学基金项目
    • 资助金额:
      22.0万元
    • 批准年份:
      2011
    • 负责人:
      宋薇
    • 依托单位: