A5100882654- Medical Imaging Techniques and Applications
- Medical Image Segmentation Techniques
- Bone health and osteoporosis research
- Radiomics and Machine Learning in Medical Imaging
- Advanced X-ray and CT Imaging
- Medical Imaging and Analysis
- Renal cell carcinoma treatment
- AI in cancer detection
- Neonatal and fetal brain pathology
- Speech Recognition and Synthesis
- Advanced Image and Video Retrieval Techniques
- Advanced X-ray Imaging Techniques
- Brain Tumor Detection and Classification
- Cancer Genomics and Diagnostics
- Dental Radiography and Imaging
- Urinary and Genital Oncology Studies
- Spectroscopy and Chemometric Analyses
- Edible Oils Quality and Analysis
- Simulation and Modeling Applications
- Evaluation and Optimization Models
- Chromatography in Natural Products
- Spinal Fractures and Fixation Techniques
- Cardiac Valve Diseases and Treatments
- Phonetics and Phonology Research
- Fetal and Pediatric Neurological Disorders
United Imaging Healthcare (China)
2018-2025
Sun Yat-sen University Cancer Center
2021-2025
Chinese Academy of Sciences
2023-2025
Lanzhou Institute of Chemical Physics
2023-2025
Sun Yat-sen University
2021-2025
Innovation Team (China)
2025
National University of Life and Environmental Sciences of Ukraine
2024
George Mason University
2022-2024
University of Chinese Academy of Sciences
2024
Research Institute of Forestry
2022-2024
Adolescent idiopathic scoliosis (AIS) is a complex three-dimensional deformity, and up to now, there has been no literature reporting the analysis of large sample X-ray imaging parameters based on artificial intelligence (AI) for it. This study accurate rapid measurement x-ray coronal in AIS patients by AI, explore differences correlations, further investigate risk factors different groups, so as provide theoretical basis diagnosis surgical treatment AIS. Retrospective 3192 aged 8–18 years...
Abstract Targeted regulation using transgrafting technology has become a trend. However, the mechanisms of transgene-derived signal communication between rootstocks and scions remain unclear in woody plants. Here, we grafted wild-type (WT) walnut (Juglans regia L.) on WT (WT/WT), JrGA20ox1 (encodes gibberellin 20-oxidase)-overexpressing (WT/OE), JrGA20ox1-RNAi transformation (WT/RNAi) vitro. We aimed to elucidate JrGA20ox1-derived under PEG-simulated drought stress walnut. demonstrated that...
Abstract Effective removal of the fatty acid matrix and enrichment trace target components is a key step in quantitative analysis minor edible oils. In this study, novel sample pretreatment method named freezing crystallization was developed to analyze pigments extra virgin olive oil (EVOO). The limits detection quantification were 0.125–0.625 μg/mL 0.5–2.5 μg/mL, respectively. Linear correlations obtained (r 2 ≥ 0.9995), recoveries at three spiked levels 84.2%–105.8%. Besides, primary...
Study Design. Retrospective single-institution study. Objective. To develop and validate an automated convolutional neural network (CNN) to measure the Cobb angle, T1 tilt coronal balance, clavicular height of shoulders, T5–T12 sagittal balance for accurate scoliosis diagnosis. Summary Background Data. Scoliosis, characterized by a angle >10°, requires reliable measurements guide treatment. Traditional manual are time-consuming have low inter- intra-observer reliability. While some tools...
Osteonecrosis of the jaw, in association with bisphosphonates (BRONJ) used for treating osteoporosis or cancer, is a severe and most often irreversible side effect whose underlying pathophysiological mechanisms remain largely unknown. Osteocytes are involved bone remodeling mineralization where they orchestrate delicate equilibrium between osteoclast osteoblast activity through active process called osteocytic osteolysis. Here, we hypothesized that (i) changes mineralized tissue matrix play...
Walnut is one of the world’s four largest nuts. Currently, bottleneck in walnut breeding production resistant variants. Soil salinization a global problem, and use salt-tolerant rootstocks basic strategy to overcome challenge sustained production. Providing scientific basis for selection possible by studying physiological biochemical response characteristics salt tolerance variations different genotypes under stress. In present study, seedlings rootstocks, including J1 (Juglans hindsii), J2...
The volatile organic compounds (VOCs) in a wide spectrum of categories were identified as biomarkers aquatic environments, playing an important role marine and freshwater ecology global atmospheric chemistry. VOCs released from biofuel have also attracted increasing attention. Although the importance has been recognized, portable detection analysis methods VOC systems not yet well developed understood. In this work, we innovatively proposed intelligent electrochemical sensing approach to...
Large language models show promise for improving radiology workflows, but their performance on structured radiological tasks such as Reporting and Data Systems (RADS) categorization remains unexplored.
In the context of bone diseases research, recent works have highlighted crucial role osteocyte system. This system, hosted in lacuno-canalicular network (LCN), plays a key remodeling process. However, few data are available on LCN due to limitations current microscopy techniques, and mainly only been obtained from 2D histology sections. Here we present, for first time, an automatic method quantify 3D synchrotron radiation micro-tomography images. After segmentation LCN, two binary images...
Recent studies emphasized the role of bone lacuno-canalicular network (LCN) in understanding diseases such as osteoporosis. However, suitable methods to investigate this structure are lacking. The aim paper is introduce a methodology segment LCN from three-dimensional (3D) synchrotron radiation nano-CT images. Segmentation structures challenging due several factors limited contrast and signal-to-noise ratio, partial volume effects huge number data that needs be processed, which restrains...
Groupwise image registration tackles biases that can potentially arise from inappropriate template selection. It typically involves simultaneous of a cohort images to common space is not specified priori. Existing groupwise methods are computationally complex and only effective for populations without large anatomical variations. In this paper, we propose deep learning framework rapidly estimate deformations between significantly reduce structural variability. Specifically, employ...
Accurate segmentation of anatomical brain structures is crucial for many neuroimaging applications, e.g., early development studies and the study imaging biomarkers neurodegenerative diseases. Although multi-atlas (MAS) has achieved successes in medical area, this approach encounters limitations segmenting associated with poor image contrast. To address issue, we propose a new MAS method that uses hypergraph learning framework to model complex subject-within subject-to-atlas voxel...