A5101622876- Tea Polyphenols and Effects
- Spectroscopy and Chemometric Analyses
- Food Quality and Safety Studies
- Advanced Chemical Sensor Technologies
- Cardiac, Anesthesia and Surgical Outcomes
- Image Processing and 3D Reconstruction
- Music and Audio Processing
- Advanced Vision and Imaging
- Bone Tumor Diagnosis and Treatments
- Advanced Image and Video Retrieval Techniques
- Remote Sensing and LiDAR Applications
- Oral and Maxillofacial Pathology
- 3D Shape Modeling and Analysis
- Anatomy and Medical Technology
- 3D Surveying and Cultural Heritage
- Video Analysis and Summarization
- Surgical Simulation and Training
- Head and Neck Surgical Oncology
- Robotics and Sensor-Based Localization
Tea Research Institute
2024-2025
Shandong Academy of Agricultural Sciences
2024-2025
Shandong Academy of Agricultural Machinery Sciences
2025
Henan Agricultural University
2024-2025
National University of Singapore
2023
Shandong Normal University
2023
Shanghai University
2007
Surgical workflow and skill analysis are key technologies for the next generation of cognitive surgical assistance systems. These systems could increase safety operation through context-sensitive warnings semi-autonomous robotic or improve training surgeons via data-driven feedback. In up to 91% average precision has been reported phase recognition on an open data single-center video dataset. this work we investigated generalizability algorithms in a multicenter setting including more...
This study proposes a novel method that combines multispectral data fusion strategies with chemometric analysis for the origin traceability of Rizhao green tea. The research found significant differences in sensory scores and key physicochemical components (catechins, caffeine, amino acid content) between tea from southern China. By integrating near-infrared hyperspectral technologies, prediction accuracy multivariate models (including Partial Least Squares Regression (PLSR), Support Vector...
Abstract Objectives Nasal polyp (NP) and inverted papilloma (IP) are two common types of nasal masses. And their differentiation is essential for determining optimal surgical strategies predicting outcomes. Thus, we aimed to develop several radiomic models differentiate them based on computed tomography (CT)-extracted features. Methods A total 296 patients with polyps or papillomas were enrolled in our study. Radiomics features extracted from non-contrast CT images. For feature selection,...
3D scene segmentation based on neural implicit representation has emerged recently with the advantage of training only 2D supervision. However, existing approaches still requires expensive per-scene optimization that prohibits generalization to novel scenes during inference. To circumvent this problem, we introduce a generalizable framework representation. Specifically, our takes in multi-view image features and semantic maps as inputs instead spatial information avoid overfitting...
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Anchorperson shot detection is the vital step to parse news video and index key information. However, most current methods for anchorperson mainly depend on temple matching, which inevitably renders limitation diversified styles of programs. In this paper, we propose a novel model-free algorithm based distributing traits. First, divided into shots, then candidate shots are selected according one attribute. Second, cluster applied gathering vision similar shots. Finally, variance analysis...