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Jing Li

Oral-anatomical knowledge-informed semi-supervised learning for 3D dental CBCT segmentation and lesion detection
Leveraging pretrained transformers for efficient segmentation and lesion detection in cone-beam computed tomography scans
Uncertainty-based active learning by bayesian U-Net for multi-label cone-beam CT segmentation
Artificial Intelligence for the Computer-Aided Detection of Periapical Lesions in Cone-Beam Computed Tomographic Images
Combining Anatomical Constraints and Deep Learning for 3-D CBCT Dental Image Multi-Label Segmentation
Artificial Intelligence for the Computer-aided Detection of Periapical Lesions in Cone-beam Computed Tomographic Images
Anatomically-Constrained Deep Learning for Automating Dental CBCT Segmentation and Lesion Detection
Spatio-Temporal Anomaly Detection, Diagnostics, and Prediction of the Air-Traffic Trajectory Deviation Using the Convective Weather

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