A5052229178- EEG and Brain-Computer Interfaces
- Radiomics and Machine Learning in Medical Imaging
- Face and Expression Recognition
- Fuzzy Logic and Control Systems
- Neural Networks and Applications
- Head and Neck Cancer Studies
- Gaze Tracking and Assistive Technology
- Advanced Clustering Algorithms Research
- Blind Source Separation Techniques
- Advanced Radiotherapy Techniques
- Text and Document Classification Technologies
- Animal Disease Management and Epidemiology
- Cancer-related molecular mechanisms research
- Medical Imaging Techniques and Applications
- MicroRNA in disease regulation
- RNA modifications and cancer
- Lipid Membrane Structure and Behavior
- Rough Sets and Fuzzy Logic
- Viral Infections and Immunology Research
- Protein Structure and Dynamics
- COVID-19 diagnosis using AI
- Advanced Computing and Algorithms
- Viral gastroenteritis research and epidemiology
- Virus-based gene therapy research
- Criminal Law and Evidence
Hong Kong Polytechnic University
2019-2025
Xinjiang University
2023-2025
Union Hospital
2023-2025
Huazhong University of Science and Technology
2023-2025
Wuhan Union Hospital
2024-2025
Nantong University
2012-2024
Shenzhen Polytechnic
2023-2024
Longgang Central Hospital
2024
Guangdong Academy of Medical Sciences
2023
Guangdong Provincial People's Hospital
2023
In many practical applications of classifiers, not only high accuracy but also interpretability is required. Among a wide variety existing Takagi–Sugeno–Kang (TSK) fuzzy classifiers may be one the best choices for achieving good balance between and accuracy. order to further improve their without losing interpretability, we propose highly interpretable deep TSK classifier HID-TSK-FC (deep shared-linguistic-rule-based classifier) based on concept shared linguistic rules. The proposed has two...
In the field of intelligent transportation, transfer learning (TL) is often used to recognize EEG-based drowsy driving for a new subject with few subject-specific calibration data. However, most existing TL-based models are offline, non-transparent, and in which features only represented from one view (usually algorithm extract features). this paper, we consider an online multi-view regression model high interpretability. By taking 1-order TSK fuzzy system as basic component injecting nature...
To investigate the role of different multi-organ omics-based prediction models for pre-treatment Adaptive Radiotherapy (ART) eligibility in patients with nasopharyngeal carcinoma (NPC).Pre-treatment contrast-enhanced computed tomographic and magnetic resonance images, radiotherapy dose contour data 135 NPC treated at Hong Kong Queen Elizabeth Hospital were retrospectively analyzed extraction multi-omics features, namely Radiomics (R), Morphology (M), Dosiomics (D), Contouromics (C), from a...
The study aimed to predict acute radiation esophagitis (ARE) with grade ≥ 2 for patients locally advanced lung cancer (LALC) treated intensity-modulated therapy (IMRT) using multi-omics features, including radiomics and dosiomics.161 stage IIIA-IIIB LALC who received chemoradiotherapy (CRT) or radiotherapy by IMRT a prescribed dose from 45 70 Gy 2015 2019 were enrolled retrospectively. All the toxicity gradings given following Common Terminology Criteria Adverse Events V4.0. Multi-omics...
Interpretable artificial intelligence (AI), also known as explainable AI, is indispensable in establishing trustable AI for bench-to-bedside translation, with substantial implications human well-being. However, the majority of existing research this area has centered on designing complex and sophisticated methods, regardless their interpretability. Consequently, main prerequisite implementing trustworthy medical domains not been met. Scientists have developed various explanation methods...
The secondary structure, amide hydrogen exchangeability, and intramembrane orientation of the hydrophobic peptide Ac-K2-(LA)12-K2-amide [(LA)12] were studied by a combination circular dichroism (CD), Fourier transform infrared (FTIR), proton nuclear magnetic resonance (1H NMR) spectroscopic techniques. All three techniques indicate that (LA)12 adopts predominantly helical conformations in various organic solvents, detergent micelles, phospholipid bilayers. Also, attenuated total reflectance...
With the development of sensors, more and multimodal data are accumulated, especially in biomedical bioinformatics fields. Therefore, analysis becomes very important urgent. In this study, we combine multi-kernel learning transfer learning, propose a feature-level multi-modality fusion model with insufficient training samples. To be specific, firstly extend kernel Ridge regression to its version under lp-norm constraint explore complementary patterns contained data. Then use marginal...
Aerosol optical depth (AOD) and top-of-atmosphere (TOA) reflectance are two useful sources of satellite data for estimating surface PM2.5 concentrations. Comparison estimates between these approaches remains to be explored. In this study, observations TOA AOD from the Advanced Himawari Imager (AHI) onboard Himawari-8 geostationary in 2016 over Yangtze River Delta (YRD) meteorological used estimate hourly based on four different machine learning algorithms (i.e., random forest, extreme...
The national lockdown policies have drastically disrupted socioeconomic activities during the COVID-19 pandemic in China, which provides a unique opportunity to investigate air quality response such anthropogenic disruptions. And it is meaningful evaluate potential health impacts of changes lockdown, especially for PM2.5 with adverse effects. In this study, by using observations from 1388 monitoring stations nationwide we examine variations between (February and March 2020) same period...
Significant lymph node shrinkage is common in patients with nasopharyngeal carcinoma (NPC) throughout radiotherapy (RT) treatment, causing ill-fitted thermoplastic masks (IfTMs). To deal this, an ad hoc adaptive (ART) may be required to ensure accurate and safe radiation delivery maintain treatment efficacy. Presently, the entire procedure for evaluating eligible ART candidate time-consuming, resource-demanding, highly inefficient. In artificial intelligence paradigm, pre-treatment...
The tubeless percutaneous nephrolithotomy (PCNL) is highly favored by endourological urologists for its advantages in patient experience and length of hospital stay. However, there currently no guideline or consensus that precisely describes PCNL. This study explores PCNL from two aspects: selection technical improvements. Clinical data 40 cases conventional patients operated the same surgeon between December 2023 April 2024 were analyzed. changes preoperative postoperative renal function,...