A5101469217- Radiomics and Machine Learning in Medical Imaging
- Hepatocellular Carcinoma Treatment and Prognosis
- Renal cell carcinoma treatment
- Tuberous Sclerosis Complex Research
- Face Recognition and Perception
- Gamma-ray bursts and supernovae
- Neural and Behavioral Psychology Studies
- High-pressure geophysics and materials
- Thyroid Cancer Diagnosis and Treatment
- Astrophysical Phenomena and Observations
- Eosinophilic Disorders and Syndromes
- MRI in cancer diagnosis
- Liver Disease Diagnosis and Treatment
- Language, Metaphor, and Cognition
- Memory and Neural Mechanisms
- Liver Disease and Transplantation
Sun Yat-sen University
2023-2025
Sun Yat-sen University Cancer Center
2023-2025
State Key Laboratory of Oncology in South China
2023-2024
Zhejiang Ocean University
2024
University of Chinese Academy of Sciences
2023
Czech Academy of Sciences, Institute of Psychology
2023
Chinese Academy of Sciences
2023
Chinese Institute for Brain Research
2023
Abstract X-ray bursts are among the brightest stellar objects frequently observed in sky by space-based telescopes. A type-I burst is understood as a violent thermonuclear explosion on surface of neutron star, accreting matter from companion star binary system. The powered nuclear reaction sequence known rapid proton capture process (rp process), which involves hundreds exotic neutron-deficient nuclides. At so-called waiting-point nuclides, stalls until slower β + decay enables bypass. One...
This study aimed to compare contrast-enhanced ultrasound (CEUS) features of hepatic angiomyolipoma (HAML) and challenging cases HCC, mainly those with no hepatitis infection but also a low level AFP (non-viral AFP- HCC).
Eye gaze communicates a person's attentional state and intentions toward objects. Here we demonstrate that this important social signal has the potential to distort time perception of gazed-at objects (N = 70 adults). By using novel gaze-associated learning paradigm combined with time-discrimination task, showed previously associated others' eye were perceived as significantly shorter in duration than nonassociated counterparts. The time-compression effect cannot be attributed general...
Background: Risk stratification systems for thyroid nodules are limited by low specificity. The fine-needle aspiration (FNA) biopsy size thresholds and criteria based on evidence from the literature expert consensus. Our aims were to investigate optimal FNA in American College of Radiology (ACR) Thyroid Imaging Reporting Data System (TI-RADS) artificial intelligence (AI) TI-RADS revise AI TI-RADS. Methods: A total 2596 (in 2511 patients) ultrasound examination with definite pathological...
Abstract Objective Accurate differentiation within the LI-RADS category M (LR-M) between hepatocellular carcinoma (HCC) and non-HCC malignancies (mainly intrahepatic cholangiocarcinoma [CCA] combined [cHCC-CCA]) is an area of active investigation. We aimed to use radiomics-based machine learning classification strategy for differentiating HCC from CCA cHCC-CCA on contrast-enhanced ultrasound (CEUS) images in high-risk patients with LR-M nodules. Methods A total 159 nodules (69 90...