A5114803579- Mathematical and Theoretical Epidemiology and Ecology Models
- Intraocular Surgery and Lenses
- Mathematical Biology Tumor Growth
- Cardiovascular Function and Risk Factors
- Asthma and respiratory diseases
- Medical Imaging and Analysis
- Corneal surgery and disorders
- Radiomics and Machine Learning in Medical Imaging
- Hepatitis B Virus Studies
- Neurological disorders and treatments
- Anesthesia and Neurotoxicity Research
- Domain Adaptation and Few-Shot Learning
- Attention Deficit Hyperactivity Disorder
- Pancreatitis Pathology and Treatment
- Infrastructure Maintenance and Monitoring
- COVID-19 diagnosis using AI
- Nonlinear Partial Differential Equations
- Lipid metabolism and disorders
- Transcranial Magnetic Stimulation Studies
- Neuroendocrine Tumor Research Advances
- Brain Tumor Detection and Classification
- Medical Research and Treatments
- Allergic Rhinitis and Sensitization
- Pituitary Gland Disorders and Treatments
- Spinal Hematomas and Complications
First Affiliated Hospital of Fujian Medical University
2025
Fujian Medical University
2025
University of Science and Technology of China
2024
Chinese PLA General Hospital
2022
Sun Yat-sen University
2020
Peking University
2015
Peking University Third Hospital
2015
Neijiang Normal University
2013
Hubei University of Medicine
2013
Jilin Normal University
2007-2012
Surgical management of giant and irregular pituitary neuroendocrine tumors (GIPitNETs) presents a significant challenge in neurosurgery. While endoscopic endonasal surgery (EES) is widely used approach for PitNETs, GIPitNETs with extensive intracranial extension pose challenges purely EES. We use simultaneous combined transcranial (CECS) the treatment this type tumor. Currently, there limited research comparing CECS to EES GIPitNETs. This study aims compare efficacy short outcome better...
The prevalence and role of malnutrition in periprosthetic joint infection (PJI) remain unclear. This study aimed to use measurable nutritional screening tools assess the PJI patients during two-stage exchange arthroplasty explore association between treatment failure. Our retrospectively included 183 cases who underwent 1st stage had available parameters, which 167 proceeded with 2nd reimplantation. recently proposed Musculoskeletal Infection Society (MSIS) Outcome Reporting Tool was used...
To assess the radius of anterior lens surface curvature (RAL) measurements with segment optical coherence tomography (AS-OCT) in comparison Scheimpflug imaging.This prospective, cross-sectional study was carried out at Zhongshan Ophthalmic Center, Guangzhou, China. We enrolled 59 eyes, including 30 eyes from cataractous volunteers (59 to 87 years) and 29 young participants (19 49 years). After mydriasis, RAL measured automatically by built-in software AS-OCT (CASIA 2). The images were...
Recent works on Multimodal 3D Computer-aided diagnosis have demonstrated that obtaining a competitive automatic model when convolution neural network (CNN) brings more parameters and medical images are scarce remains nontrivial challenging. Considering both consistencies of regions interest in multimodal diagnostic accuracy, we propose novel mutual attention-based hybrid dimensional for MultiModal image classification (MMNet). The integrates 2D CNN with modules to generate deeper informative...
Recently, textual prompt tuning has shown inspirational performance in adapting Contrastive Language-Image Pre-training (CLIP) models to natural image quality assessment. However, such uni-modal learning method only tunes the language branch of CLIP models. This is not enough for AI generated assessment (AGIQA) since AGIs visually differ from images. In addition, consistency between and user input text prompts, which correlates with perceptual AGIs, investigated guide AGIQA. this letter, we...
Background and objective: Parotid gland tumors account for approximately 2% to 10% of head neck tumors. Preoperative tumor localization, differential diagnosis, subsequent selection appropriate treatment parotid are critical. However, the relative rarity these highly dispersed tissue types have left an unmet need a subtle diagnosis such neoplastic lesions based on preoperative radiomics. Recently, deep learning methods developed rapidly, especially Transformer beats traditional convolutional...
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