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To determine the diagnostic performance of a machine learning model based on radiographic features of fluorine-18-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) / computed tomography (CT) in distinguishing cervic...

Cherenkov imaging has emerged as a promising technique for real-time dosimetry during external beam radiation therapy (EBRT); however, quantitative conversion of Cherenkov signal to delivered radiation dose remains challenging. T...

To address the persistent loss of connectivity and thickness instability in 3D microscopy segmentation of tubular structures, we propose a topology-aware learning framework that explicitly supervises tubular geometry beyond voxel...