Novel Technologies in Radiology: Diagnosis, Prediction and Treatment

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".

Deadline for manuscript submissions: 20 September 2024 | Viewed by 111

Special Issue Editors


E-Mail Website
Guest Editor
Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, MD 21287, USA
Interests: Monte Carlo simulation; DNA damage; PET

E-Mail Website
Guest Editor
Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, MD 21287, USA
Interests: low-dimensional semiconductor; heterostructures; MR imaging reconstruction; ultra-low-field MRI system
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Special Issue Information

Dear Colleagues,

With its roots traced back to the discovery of X-rays in 1895, radiology has undergone profound advancements, evolving into a cornerstone of modern medicine. Yet, it is still an active field. On the one side, emerging technologies such as artificial intelligence (AI) have provided insights to improve the quality of diagnosis and prediction by radiology. On the other side, the emphasis on precision therapy and personalized medicine brings challenges to radiology, prompting the field to innovate and develop new protocols or technologies. We therefore set up this Special Issue, which aims to collect cutting-edge advancements in technology and protocol design that may significantly enhance our diagnostic and predictive capabilities and eventually benefit the clinic to facilitate researchers.

We are pleased to invite researchers from various fields within this journal’s scope to contribute to this Special Issue or invite relevant experts and colleagues to do so. Both original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Novel design of devices, algorithms, and protocols.
  • Radiology and AI.
  • Radiology and personalized medicine.
  • Interventional radiology.
  • Molecular imaging.
  • Radiology and predictive medicine.

We look forward to receiving your contributions.

Dr. Youfang Lai
Dr. Yuting Peng
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • deep learning
  • imaging guidance
  • PET
  • molecular imaging
  • imaging-based biomarkers

Published Papers

This special issue is now open for submission.
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