The Journal of Imaging has selected the article “Brain Tumor Diagnosis Using Machine Learning, Convolutional Neural Networks, Capsule Neural Networks and Vision Transformers, Applied to MRI: A Survey” as one of the recipients of its 2022 Best Paper Award. The recognition was officially announced on February 29, 2024.
Among the distinguished co-authors is Professor Mauro Castelli, researcher at MagIC – Information Management Research Center and faculty member at NOVA IMS. He shares this distinction with Andronicus Ayobami Akinyelu, Fulvio Zaccagna, James T. Grist, and Leonardo Rundo. Their contribution stood out among all papers published by the journal in 2022, evaluated on the basis of originality, significance, scientific impact, citations, and downloads.
This comprehensive survey investigates cutting-edge developments in automated brain tumor diagnosis using MRI data, synthesizing recent advances in artificial intelligence and deep learning techniques. The review meticulously explores a range of models—including Convolutional Neural Networks (CNNs), Capsule Neural Networks, and Vision Transformers—highlighting their comparative performance, architectural innovations, and clinical relevance.
By providing a structured synthesis of the field, the paper serves as a valuable reference for both researchers and practitioners working on medical image analysis and AI-driven diagnostics. It offers critical insights into the strengths and limitations of each approach, while outlining future directions for improving diagnostic accuracy and reliability in neuro-oncology.
This award affirms the scholarly excellence of the research team and the growing global impact of the work produced at NOVA IMS and MagIC in the fields of health informatics and medical imaging. It also reinforces the importance of interdisciplinary collaboration between data scientists, radiologists, and clinical researchers in tackling complex healthcare challenges.
The full article is available open access here.