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INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY Q2

期刊收录：
SCIE
Scopus

基本信息

期刊ISSN：
0899-9457
期刊简拼：
INT J IMAG SYST TECH
年发文章数：
162
E-ISSN：
1098-1098
Gold OA文章占比
3.99%
研究文章占比：
99.38%
是否OA：
No
Jcr分区：
Q2
中科院分区：
4区

出版信息

出版商：
John Wiley and Sons Inc.
涉及研究方向：
工程技术-成像科学与照相技术
出版国家：
UNITED STATES
出版语言：
English
出版周期：
Bimonthly
出版年份：
1989

2023-2024最新影响因子:3
自引率:10.00%
五年影响因子:2.9
JCI期刊引文指标:0.73
h-index:43
CiteScore:6.90

期刊关键词

2区 SCIE Scopus 计算机科学 4区 ENGINEERING ELECTRICAL & ELECTRONIC 工程：电子与电气 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY 成像科学与照相技术 OPTICS 光学

期刊简介

The International Journal of Imaging Systems and Technology (IMA) is a forum for the exchange of ideas and results relevant to imaging systems, including imaging physics and informatics. The journal covers all imaging modalities in humans and animals.

IMA accepts technically sound and scientifically rigorous research in the interdisciplinary field of imaging, including relevant algorithmic research and hardware and software development, and their applications relevant to medical research. The journal provides a platform to publish original research in structural and functional imaging.

The journal is also open to imaging studies of the human body and on animals that describe novel diagnostic imaging and analyses methods. Technical, theoretical, and clinical research in both normal and clinical populations is encouraged. Submissions describing methods, software, databases, replication studies as well as negative results are also considered.

The scope of the journal includes, but is not limited to, the following in the context of biomedical research:

Imaging and neuro-imaging modalities: structural MRI, functional MRI, PET, SPECT, CT, ultrasound, EEG, MEG, NIRS etc.;
Neuromodulation and brain stimulation techniques such as TMS and tDCS;
Software and hardware for imaging, especially related to human and animal health;
Image segmentation in normal and clinical populations;
Pattern analysis and classification using machine learning techniques;
Computational modeling and analysis;
Brain connectivity and connectomics;
Systems-level characterization of brain function;
Neural networks and neurorobotics;
Computer vision, based on human/animal physiology;
Brain-computer interface (BCI) technology;
Big data, databasing and data mining.