Medical Imaging in Brain Tumor: Charting the Future
A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Neurobiology and Clinical Neuroscience".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 1210
Special Issue Editors
2. Department of Biomedical Engineering, School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea
Interests: medical image analysis; pattern recognition; digital pathology; oncology; digital image processing; computer vision; segmentation; classification; deep learning; machine learning; smart healthcare
Interests: artificial intelligence; machine learning; deep learning; computer vision; image and video processing; anomaly detection; super-resolution; reconstruction; large language models; medical image analysis
Special Issue Information
Dear Colleagues,
This Special Issue, entitled “Medical Imaging in Brain Tumor: Charting the Future”, welcomes publications of cutting-edge research in advanced imaging technologies in the diagnosis, treatment planning, and monitoring of brain tumors. After rapid advancements in imaging modalities such as MRI, CT, PET and emerging techniques like AI-driven image analysis, this issue highlights innovative research and breakthroughs that are reshaping the field.
We invite submissions that focus on improving tumor detection, classification, and segmentation, as well as enhancing the understanding of tumor biology through imaging biomarkers. This issue will address the integration of imaging data with radiomics, radiogenomics, and personalized medicine, offering new avenues for precision oncology. By bringing together multidisciplinary perspectives, this Special Issue seeks to provide a comprehensive overview of current advancements and future directions in brain tumor imaging, ultimately contributing to improved patient outcomes and clinical decision-making.
These technologies are not only enhancing the accuracy of tumor detection and characterization, but are also enabling the identification of imaging biomarkers that provide insights into tumor biology, genetics, and microenvironment.
This Special Issue will feature a balanced mix of review and research articles:
- Review articles will provide an in-depth analysis of the latest innovations in medical imaging in tumor detection, classification, and monitoring, as well as the integration of imaging biomarkers into clinical practice.
- Research articles will present innovative imaging techniques for diagnosis and monitoring that push the boundaries of brain tumor imaging.
Dr. Subrata Bhattacharjee
Dr. Mansoor Hayat
Guest Editors
Manuscript Submission Information
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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
- brain tumor diagnosis
- artificial intelligence (AI) in medical imaging
- imaging biomarkers for brain tumor
- detection, segmentation and classification
- radiomics and radiogenomics
- precision oncology
- deep learning and machine learning
- neuro oncology
- digital pathology
- treatment response monitoring
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