Advances in Quantitative Imaging Analysis: From Theory to Practice
A special issue of BioMedInformatics (ISSN 2673-7426). This special issue belongs to the section "Imaging Informatics".
Deadline for manuscript submissions: 30 November 2024 | Viewed by 15758
Special Issue Editors
2. Department of Translational Medicine, University of Piemonte Orientale (UPO), Via Solaroli 17, 28100 Novara, Italy
Interests: radiotherapy; artificial intelligence; machine learning; process mining; radiomics
Special Issues, Collections and Topics in MDPI journals
2. Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy
Interests: radiology; abdominal radiology; thoracic radiology; radiomics; quantitative imaging analysis; machine learning
Interests: urological malignancies; radiation oncology; new fractionation protocols; treatment accuracy; patient’s quality of life; prognostic and predictive factors; SBRT hypofractionation; oligometastatic disease
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The special issue on Quantitative Analysis of Imaging seeks to bring together the latest innovations and advancements in the field of imaging analysis. With a focus on quantitative methods for the extraction of meaningful information from images, this special issue will cover a wide range of imaging modalities, including microscopy, medical imaging, and remote sensing.
The articles in this special issue will showcase the latest developments in the field of quantitative imaging analysis, covering both theoretical and practical aspects. Experts in the field will present their work on various topics, including image segmentation, registration, feature extraction, pattern recognition, and image-based modeling. The articles will highlight the challenges and opportunities in this rapidly evolving field, while promoting interdisciplinary collaboration among researchers from different fields.
The special issue on Quantitative Analysis of Imaging will provide a comprehensive overview of the current state of the art in quantitative imaging analysis, and aims to promote further research and development in this field. By presenting the latest advancements in imaging analysis, this special issue will serve as a valuable resource for researchers, practitioners, and students interested in this field.
Dr. Federico Mastroleo
Dr. Angela Ammirabile
Dr. Giulia Marvaso
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. BioMedInformatics is an international peer-reviewed open access quarterly 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 1000 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
- quantitative analysis
- imaging
- image processing
- computer vision
- biomedical engineering
- image segmentation
- pattern recognition
- radiomics
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