A5087197350- Landslides and related hazards
- Cryospheric studies and observations
- Dam Engineering and Safety
- Geotechnical Engineering and Analysis
- Pelvic floor disorders treatments
- Fire effects on ecosystems
- Flood Risk Assessment and Management
- Tree Root and Stability Studies
- Soil erosion and sediment transport
- MRI in cancer diagnosis
- Soil and Unsaturated Flow
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Hepatocellular Carcinoma Treatment and Prognosis
- Rock Mechanics and Modeling
- Cervical Cancer and HPV Research
- Hydrology and Sediment Transport Processes
- Advanced SAR Imaging Techniques
- Radiomics and Machine Learning in Medical Imaging
- Liver Disease Diagnosis and Treatment
- Structural Health Monitoring Techniques
- Diverticular Disease and Complications
- Urinary Bladder and Prostate Research
- Ultrasound Imaging and Elastography
- Soil Moisture and Remote Sensing
- Ultrasound and Hyperthermia Applications
Central South University
2022-2024
Thomas Jefferson University Hospital
2024
China University of Geosciences
2017-2022
Chongqing University of Technology
2021
Beijing Institute of Technology
2021
Chongqing Three Gorges University
2021
Third Affiliated Hospital of Sun Yat-sen University
2015-2019
Sun Yat-sen University
2015-2019
First People's Hospital of Foshan
2019
Landslide susceptibility mapping is a crucial tool for analyzing geohazards in region. Recent publications have popularized data-driven models, particularly machine learning-based methods, owing to their strong capability dealing with complex nonlinear problems. However, significant proportion of these models neglected qualitative aspects during analysis, resulting lack interpretability throughout the process and causing inaccuracies negative sample extraction. In this study, Scoops 3D was...
Abstract Landslide susceptibility assessment is vital for landslide risk management and urban planning, the scientific community continuously proposing new approaches to map susceptibility, especially by hybridizing state-of-the-art models ones. A common practice in studies compare (two or more) different terms of AUC (area under ROC curve) assess which one has best predictive performance. The objective this paper show that classical scheme comparison between can be expanded enriched with...
Landslide susceptibility maps are widely used in landslide hazard management. Although many models have been proposed, mapping unit definition is a matter that still needs to be fully examined. In the literature, most reported units pixels and slope units, while this work, developed Rio de Janeiro region (Brazil), use of drainage basins as examined; even if their leads with coarser spatial resolution than pixels-based maps, they convey information can easily rapidly handled by civil defense...
Soil thickness, intended as depth to bedrock, is a key input parameter for many environmental models. Nevertheless, it often difficult obtain reliable spatially exhaustive soil thickness map in wide-area applications, and existing prediction models have been extensively applied only test sites with shallow depths. This study addresses this limitation by showing the results of an application section Wanzhou County (Three Gorges Reservoir Area, China), where varies from 0 ∼40 m. Two different...
Abstract Background Hepatocellular carcinoma (HCC) is a unique cancer allowing tumor diagnosis with identification of definitive patterns enhancement on contrast-enhanced imaging, avoiding invasive biopsy. However, it still unclear to what extent Contrast-Enhanced Ultrasound (CEUS) clinically useful additional step when Computed tomography (CT) or Magnetic resonance imaging (MRI) are inconclusive. Methods A prospective international multicenter validation study for CEUS Liver Imaging...
With the development of landslide monitoring system, many attempts have been made to predict failure-time utilizing data displacements. Classical models (e.g., Verhulst, GM (1,1), and Saito models) that consider characteristics displacement determine investigated extensively. In practice, is continuously implemented with data-set updated, meaning predicted life expectancy (i.e., lag between time node at each instant conducting prediction) should be re-evaluated time. This manner termed...
A landslide susceptibility map (LSM) is the basis of hazard and risk assessment, guiding land planning utilization, early warning disaster, etc. Researchers are often overly keen on hybridizing state-of-the-art models or exploring new mathematical to improve accuracy in terms a receiver operator characteristic curve. Correlation analysis causal factors necessary routine process before modeling ensure that overall correlation among all low. However, this insufficient detect high local factor...
It is crucial to predict landslide displacement accurately for establishing a reliable early warning system. Such requirement more urgent landslides in the reservoir area. The main reason that an inaccurate prediction can lead riverine disasters and secondary surge disasters. Machine learning (ML) methods have been developed commonly applied because of their powerful nonlinear processing ability. Recently, deep ML become popular, as they deal with complicated problems than conventional...
OBJECTIVE. The purpose of this study is to determine the value translabial real-time 3D ultrasound for predicting stress urinary incontinence (SUI). SUBJECTS AND METHODS. From December 2012 August 2016, women with or without SUI diagnosed by urologists via urodynamics were prospectively recruited. All subjects underwent at one institution. Volume data analyzed offline a radiologist who was blinded diagnosis and evaluated bladder neck position on maximal Valsalva maneuver, levator hiatus area...
This work presents the ideal combination of space-borne and ground-based (GB) Interferometric Synthetic Aperture Radar (InSAR) applications. In absence early investigation reporting specialized monitoring, Zhongbao landslide unexpectedly occurred on 25 July 2020, forming a barrier lake that caused an emergency. As emergency measure, GB-InSAR system was installed 1.8 km opposite to assess real-time cumulative deformation with monitoring frequency 3 min. A zone strong detected, 178 mm...
Phase analysis based on high-quality pixel (HQP) is crucial to ensure the measurement accuracy of ground-based SAR (GB-SAR). The amplitude dispersion (ADI) criterion has been widely applied identify pixels with high stability, i.e., permanent scatterers (PSs), which typically are point-wise such as stones or man-made structures. However, PS number in natural scenes few and limits GB-SAR applications. This paper proposes an improved method take HQP selection for interferometry. In order...
The past landslides from landslide inventory are essential for machine learning (ML)-based susceptibility assessment (LSA). They determine not only the positive samples (characterized by landslides) but also negative (randomly generated based on training and validating ML models. However, number of is often limited because constraints time, budget, resources available, etc. In other words, available data establishing models limited, which indicates that accuracy reliability corresponding...
External causes like changes in reservoir level and intense rainfall can cause landslides. Exploring the factors that govern landslide deformation analyzing its stability evolution is essential mitigating associated risks. The Sanzhouxi landslide, which has experienced ongoing movements been implemented a professional monitoring system, chosen for analysis this paper. A combination of geological survey data utilized to explore characteristics. mining method, grey relation (GRA), subsequently...
Objective To investigate the diagnostic parameters, criteria and value of pelvic floor ultrasound in female stress urinary incontinence(SUI). Methods Simple factor logistic regression analysis was used to compare difference ultrasonic parameters between SUI patients(260 cases) asymptomatic subjects(60 find relevant indexes, evaluate by ROC curve. Results There were significant differences urethral inclination angle levator hiatus area resting bladder neck position, angle,...