Imaging and Radiation Research


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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Submission Preparation Checklist

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.

  1. 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).
  2. The submission file is in Microsoft Word format.
  3. Where available, URLs for the references have been provided.
  4. The text adheres to the stylistic and bibliographic requirements outlined in the Author Guidelines, which is found in About the Journal.
  5. 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 TitleAPCs
Imaging and Radiation Research$800

We encourage authors to publish their papers with us and don’t wish the cost of article processing fees to be a barrier especially to authors from the low and lower middle income countries/regions. A range of discounts or waivers are offered to authors who are unable to pay our publication processing fees. Authors can write in to apply for a waiver and requests will be considered on a case-by-case basis.


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Vol 7, No 1 (2024)

Table of Contents

Open Access
Original Research Article
Article ID: 4085
by Jincheng Peng, Guoyue Chen, Kazuki Saruta, Yuki Terata
Imaging. Radiat. Res. 2024 , 7(1);    192 Views
Abstract In recent years, the pathological diagnosis of glomerular diseases typically involves the study of glomerular his-to pathology by specialized pathologists, who analyze tissue sections stained with Periodic Acid-Schiff (PAS) to assess tissue and cellular abnormalities. In recent years, the rapid development of generative adversarial networks composed of generators and discriminators has led to further developments in image colorization tasks. In this paper, we present a generative adversarial network by Spectral Normalization colorization designed for color restoration of grayscale images depicting glomerular cell tissue elements. The network consists of two structures: the generator and the discriminator. The generator incorporates a U-shaped decoder and encoder network to extract feature information from input images, extract features from Lab color space images, and predict color distribution. The discriminator network is responsible for optimizing the generated colorized images by comparing them with real stained images. On the Human Biomolecular Atlas Program (HubMAP)—Hacking the Kidney FTU segmentation challenge dataset, we achieved a peak signal-to-noise ratio of 29.802 dB, along with high structural similarity results as other colorization methods. This colorization method offers an approach to add color to grayscale images of glomerular cell tissue units. It facilitates the observation of physiological information in pathological images by doctors and patients, enabling better pathological-assisted diagnosis of certain kidney diseases.
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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


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...
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