Special Issue "Advances in Radiogenomics"

A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Bioinformatics".

Deadline for manuscript submissions: 20 December 2022 | Viewed by 130

Special Issue Editors

Prof. Dr. Zhicheng Li
E-Mail Website
Guest Editor
Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
Interests: cancer radiogenomics; machine learning; multimodality modeling
Dr. Dan Wu
E-Mail Website
Guest Editor
College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
Interests: medical image analysis; radiogenomics; neuroscience
Dr. Jia Wu
E-Mail Website
Guest Editor
Department of Imaging Physics, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
Interests: radiogenomics; machine learning; tumor heterogeneity

Special Issue Information

Dear Colleagues,

In recent years, advances in the fields of computational medical imaging and molecular biology have led to an emerging research area known as radiogenomics. The mainstay of radiogenomics is to establish connections between imaging features and genomic data using advanced computer algorithms. By integrating multiscale data such as radiomics, deep learning features, genomics, transcriptomics, and proteomics, radiogenomics offers a new opportunity to uncover underlying disease mechanism and to improve diagnostic or prognostic procedures toward personalized therapy.

The Special Issue focuses on methodological advancements and clinical applications in the radiogenomics area in patients with cancer or neurodegenerative disease. We are looking for contributions that show how radiogenomics can help to enhance disease diagnosis and prognosis. Topics of interest include but are not limited to novel machine learning algorithms, multimodal radiogenomics data fusion, radiogenomics biomarkers, biological mechanisms, treatment response assessments, and new evidence on imaging–genomics correlations. Both research articles and critical reviews are welcome.

Prof. Dr. Zhicheng Li
Dr. Dan Wu
Dr. Jia Wu 
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. Genes is an international peer-reviewed open access monthly 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

  • radiogenomics
  • diagnosis
  • prognosis
  • machine learning

Published Papers

This special issue is now open for submission.
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