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Updated: Jan 23, 2026

Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies
Published on: December 15, 2023
Leonardo Rundo1, Andrea Tangherloni2, Paolo Cazzaniga3
1Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy; Institute of Molecular Bioimaging and Physiology, Italian National Research Council, Cefalù, PA, Italy; Department of Radiology, University of Cambridge, Cambridge, UK; Cancer Research UK Cambridge Centre, Cambridge, UK.
This study introduces an evolutionary framework to improve medical image segmentation accuracy for bimodal Magnetic Resonance (MR) images. The novel approach enhances image analysis, aiding physicians in diagnosis and treatment planning.
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2026-06-19T13:47:37.150610+00:00