Le Lu

Latest

• Device and method for alignment of multi-modal clinical images using joint synthesis, segmentation, and registration
• Systems and methods for tumor characterization
• Co-heterogeneous and adaptive 3d pathological abdominal organ segmentation using multi-source and multi-phase clinical image datasets
• Method and system for harvesting lesion annotations
• Circle Representation for Medical Object Detection
• Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking
• CircleNet: Anchor-free detection with circle representation
• Co-heterogeneous and adaptive segmentation from multi-source and multi-phase CT imaging data: A study on pathological liver and lesion segmentation
• Harvesting, detecting, and characterizing liver lesions from large-scale multi-phase CT data via deep dynamic texture learning
• Jssr: A joint synthesis, segmentation, and registration system for 3d multi-modal image alignment of large-scale pathological ct scans
• Lesion-harvester: Iteratively mining unlabeled lesions and hard-negative examples at scale
• Reliable liver fibrosis assessment from ultrasound using global hetero-image fusion and view-specific parameterization