Imaging and Radiation Research

ISSN:

2578-1618 (Online)

Journal Abbreviation:

Imaging. Radiat. Res.

Imaging and Radiation Research (IRR) is an international journal that aims to communicate to its readers the state-of-the-art technologies and methods of imaging and radiation. The journal welcomes original research works (laboratory-based works, modeling, field tests, case reports), reviews, and important applications of imaging technology and radiation-related analysis, and IRR is open to subjects in medical science, surgical practices, biomedical science, biology, materials science, engineering, as well as other related branches of physics and chemistry.

It covers all aspects of imaging technology and analysis methods, Radiation Biology & Radiation Physics, including but not limited to:

The use of SPECT and PET
Magnetic resonance imaging (MRI)
Ultrasonic imaging
Gamma camera and its application
Electron microscopy
Computed tomography
Electron imaging and processing
X-ray diffraction
Spectroscopic analysis
Radiation detection and measurement
Radiotherapy
Nuclear physics
Ionizing radiation

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As part of the submission process, authors are required to check off their submission's compliance with all of the following items, and submissions may be returned to authors that do not adhere to these guidelines.

The submission has not been previously published, nor is it before another journal for consideration (or an explanation has been provided in Comments to the Editor).
The submission file is in Microsoft Word format.
Where available, URLs for the references have been provided.
The text adheres to the stylistic and bibliographic requirements outlined in the Author Guidelines, which is found in About the Journal.
If submitting to a peer-reviewed section of the journal, the instructions in Ensuring a Blind Review have been followed.

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Article Processing Charges (APCs)

Imaging and Radiation Research is an Open Access Journal under EnPress Publisher. All articles published in Imaging and Radiation Research are accessible electronically from the journal website without commencing any kind of payment. In order to ensure contents are freely available and maintain publishing quality, Article Process Charges (APCs) are applicable to all authors who wish to submit their articles to the journal to cover the cost incurred in processing the manuscripts. Such cost will cover the peer-review, copyediting, typesetting, publishing, content depositing and archiving processes. Those charges are applicable only to authors who have their manuscript successfully accepted after peer-review.

Journal Title	APCs
Imaging and Radiation Research	$800

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Vol 6, No 2 (2023)

Open Access

Original Research Article

Article ID: 6125

Abstract

PDF

Study on the connotation of traditional Chinese Daoist medicine culture

by Jun Zhang, Zhenxing Tang, Liang Wang, Qun Hu, Xiaowen Li, Qun HU

Imaging. Radiat. Res. 2023 , 6(2); 26 Views

doi: 10.24294/irr.v6i2.6125

Abstract This study aims to explore the connotation of Daoist medicine culture and investigate its relationship with modern medicine. Exploring the connotation of Daoist medicine culture is beneficial for advocating a healthy lifestyle, improving people’s physical and mental health, promoting individual comprehensive development, and enhancing happiness. By drawing wisdom and experience from Daoist medicine, inheriting various medical methods such as herbal treatment, acupuncture, massage, and integrating the concept of integrated Chinese and Western medicine into modern medicine, not only can treatment effectiveness be improved, but also interdisciplinary communication and cooperation can be promoted, thus driving the innovation and development of medical knowledge.

Open Access

Original Research Article

Article ID: 5757

Abstract

PDF

Performance evaluation of YOLOv5 and YOLOv8 models in car detection

by Fatma Nur Kılıçkaya, Murat Taşyürek, Celal Öztürk

Imaging. Radiat. Res. 2023 , 6(2); 1 Views

doi: 10.24294/irr.v6i2.5757

Abstract Vehicle detection stands out as a rapidly developing technology today and is further strengthened by deep learning algorithms. This technology is critical in traffic management, automated driving systems, security, urban planning, environmental impacts, transportation, and emergency response applications. Vehicle detection, which is used in many application areas such as monitoring traffic flow, assessing density, increasing security, and vehicle detection in automatic driving systems, makes an effective contribution to a wide range of areas, from urban planning to security measures. Moreover, the integration of this technology represents an important step for the development of smart cities and sustainable urban life. Deep learning models, especially algorithms such as You Only Look Once version 5 (YOLOv5) and You Only Look Once version 8 (YOLOv8), show effective vehicle detection results with satellite image data. According to the comparisons, the precision and recall values of the YOLOv5 model are 1.63% and 2.49% higher, respectively, than the YOLOv8 model. The reason for this difference is that the YOLOv8 model makes more sensitive vehicle detection than the YOLOv5. In the comparison based on the F1 score, the F1 score of YOLOv5 was measured as 0.958, while the F1 score of YOLOv8 was measured as 0.938. Ignoring sensitivity amounts, the increase in F1 score of YOLOv8 compared to YOLOv5 was found to be 0.06%.

Announcements


New Author Guidelines are updated
Please follow the journal's author guideline and the required article template to prepare your manuscript.
Posted: 2023-01-06	More...

Congratulations to one of Editorial Team Members
Shashanka Rajendrachari Department of Metallurgical and Materials Engineering, Bartin University Turkey
Posted: 2022-08-19	More...

The “Conflict of Interest” policy
For the sake of academic fairness, all authors are required to declare all activities that have the potential to be deemed as a source of competing interest in relations to their submitted manuscript. Examples of such activities could include personal or work-related relationships, events, etc. Authors who have nothing to declare are encouraged to add "The authors declare that there is no conflict of interest" in this section. A declaration of interests for all authors should be received before an article can be reviewed and accepted for the publication. As the authors, editors or reviewers, they also are required to declare the conflict of interest in academy.
Posted: 2022-02-10	More...