Advances in Radiological and Optical Imaging for Clinical Oncology
A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Cancer Biology and Oncology".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 44
Special Issue Editors
Interests: medical image analysis; deep learning in neuroradiology; quantitative digital subtraction angiography (DSA); magnetic resonance fingerprinting (MRF); cardiovascular and thoracic AI; automated tumor and lesion segmentation; evidence-based radiology; clinical translation of AI
Special Issue Information
Dear Colleagues,
Precision oncology demands a paradigm shift from anatomical assessment to functional and molecular characterization of tumors. Accurate imaging is pivotal not only for early diagnosis and staging but for surgical guidance, radiotherapy planning, and long-term surveillance. Recent technological strides in radiological modalities, particularly in photon-counting CT, quantitative MRI, multiparametric imaging, and advanced vascular protocols, as well as high-resolution optical techniques, are providing clinicians with insights into the tumor microenvironment and physiological processes.
Furthermore, the synergy between these advanced modalities and Artificial Intelligence (AI) is revolutionizing the standard of care. Deep learning algorithms demonstrate remarkable capabilities in the automated detection and segmentation of complex lesions, especially in the fields of neuro-oncology and cerebrovascular imaging. Beyond automation, AI is driving progress in image reconstruction, acquisition acceleration, and the extraction of quantitative radiomic features for prognostic modeling and treatment response assessment.
This Special Issue, "Advances in Radiological and Optical Imaging for Clinical Oncology", aims to capture the state-of-the-art in this rapidly evolving field, with a primary focus on clinical oncology. We explicitly invite submissions of articles covering topics including, but not limited to, advanced AI applications ranging from detection to prognosis, quantitative biomarkers for treatment response assessment, radiomics, and image-guided therapeutic strategies (including surgery and radiotherapy). We also welcome contributions that advance evidence-based medical imaging to enhance healthcare quality and clinical efficiency. Join us in exploring how these interdisciplinary innovations can be translated into clinical practice to optimize overall care delivery.
Dr. Jia-Sheng Hong
Dr. Wei-Kai Lee
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 250 words) can be sent to the Editorial Office for assessment.
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. Biomedicines 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 2600 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
- clinical oncology
- medical imaging
- artificial intelligence
- deep learning
- radiomics
- image-guided therapy
- treatment response
- prognosis
- optical imaging
- precision medicine
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
