Green CIRCLe

"CIRCLE" encompasses diverse research areas focusing on improving the analysis and understanding of circular structures, whether anatomical (like the Circle of Willis in the brain) or abstract (like circular relationships in image processing). Current research employs deep learning architectures, including convolutional neural networks and vision transformers, to achieve tasks such as accurate segmentation, classification, and reconstruction of these circular features from various data modalities (e.g., medical images, 3D scenes). These advancements have significant implications for medical diagnosis (e.g., faster and more accurate aneurysm detection), computer vision (e.g., improved object recognition and scene understanding), and robotics (e.g., more realistic human motion simulation).