A5029878497- Radiomics and Machine Learning in Medical Imaging
- Advanced Fiber Laser Technologies
- Advanced Radiotherapy Techniques
- Medical Image Segmentation Techniques
- Medical Imaging Techniques and Applications
- Photonic Crystal and Fiber Optics
- Retinal Imaging and Analysis
- Laser-Matter Interactions and Applications
- Advanced X-ray and CT Imaging
- AI in cancer detection
- Glaucoma and retinal disorders
- Medical Imaging and Analysis
- Optical Coherence Tomography Applications
- Advanced Neural Network Applications
- Advanced Fiber Optic Sensors
- Retinal Diseases and Treatments
- Brain Tumor Detection and Classification
- Solid State Laser Technologies
- Lung Cancer Diagnosis and Treatment
- Advanced biosensing and bioanalysis techniques
- DNA and Biological Computing
- Photoacoustic and Ultrasonic Imaging
- Music and Audio Processing
- Hepatocellular Carcinoma Treatment and Prognosis
- Digital Imaging for Blood Diseases
Xi'an International Studies University
2025
Shandong Normal University
2015-2024
Rural Development Institute
2021-2022
Chinese Academy of Social Sciences
2021-2022
Shandong University
1998-2020
Weatherford College
2020
Stanford University
2015-2017
Johns Hopkins University
2017
Johns Hopkins Medicine
2017
Shantou University
2014
Abstract Two-dimensional layered monoelemental materials (Xenes) with excellent optoelectronic properties have various property-related applications, such as energy, biomedicine, and devices. Xenes also show performance in acting saturable absorbers (SAs) for obtaining ultrafast laser operations. Few-layer tellurene a typical Xenens exhibits distinct promising practical application potential, its nonlinear optical absorption characteristics related modulation applications been investigated...
Abstract Layered transition metal dichalcogenides with excellent nonlinear absorption properties have shown remarkable performance in acting as ultrafast photonics devices. In our work, palladium diselenide (PdSe 2 ) nanosheets competitive advantages of wide tunable bandgap, unique puckered pentagonal structure and air stability are prepared by the liquid-phase exfoliation method. Its was verified demonstrating conventional dissipative soliton operations within Er-doped fiber lasers. The...
To describe an automated algorithm to quantify the foveal avascular zone (FAZ), using optical coherence tomography angiography (OCTA), and compare its performance for diagnosis of diabetic retinopathy (DR) association with best-corrected visual acuity (BCVA) that extrafoveal area (EAA).We obtained 3 × 3-mm macular OCTA scans in patients various levels DR healthy controls. An based on a generalized gradient vector flow (GGVF) snake model detected FAZ, metrics assessing FAZ size irregularity...
Abstract Background Three-dimensional T1 magnetization prepared rapid acquisition gradient echo (3D-T1-MPRAGE) is preferred in detecting brain metastases (BM) among MRI. We developed an automatic deep learning–based detection and segmentation method for BM (named BMDS net) on 3D-T1-MPRAGE images evaluated its performance. Methods The net a cascaded 3D fully convolution network (FCN) to automatically detect segment BM. In total, 1652 patients with from 3 hospitals (n = 1201, 231, 220,...
Optical coherence tomography angiography has recently been used to visualize choroidal neovascularization (CNV) in participants with age-related macular degeneration. Identification and quantification of CNV area is important clinically for disease assessment. An automated algorithm detection presented this article. It relies on denoising a saliency model overcome issues such as projection artifacts the heterogeneity CNV. Qualitative quantitative evaluations were performed scans 7...
In our work, passively mode-locked and Q-switched Er-doped fiber lasers (EDFLs) based on titanium disulfide (TiS2) as a saturable absorber (SA) were generated successfully. Stable pulses centred at 1531.69 nm with the minimum pulse width of 2.36 ps obtained. By reducing length laser cavity optimizing loss, operation maximum energy 67.2 nJ duration 2.34 µs was also Its repetition rate monotonically increased from 13.17 kHz to 48.45 about 35 tuning range. Our experiment results fully indicate...
In our work, Cr 2 Si Te 6 , a novel two-dimensional (2D)-layered ferromagnetic insulator, was used as saturable absorber (SA) for demonstrating pulsed Er-doped fiber laser (EDFL) based on its nonlinear absorption properties. The modulation depth and saturation intensity of the -based SA are 6.61% 10.77 MW/cm respectively. When pump power is 60.3 mW, 13th harmonic mode-locked generation obtained, 3 dB optical spectrum bandwidth 1.392 nm central wavelength 1568.032 nm. higher than 170.3 EDFL...
As a DNA repair protein, Flap endonuclease 1 (FEN1) plays crucial parts in preventing carcinogenesis. Two functional germ line variants (–69G > A and 4150G T) the FEN1 gene have been associated with damage levels coke oven workers lung cancer risk general populations. However, role of these genetic on gastrointestinal susceptibility is unknown. Therefore, we evaluated association between polymorphisms two independent case–control cohorts consisted total 1850 (hepatocellular carcinoma,...
We propose a novel automated volumetric segmentation method to detect and quantify retinal fluid on optical coherence tomography (OCT). The fuzzy level set was introduced for identifying the boundaries of filled regions B-scans (x y-axes) C-scans (z-axis). identified from three types scans were combined generate comprehensive fluid. Then, artefactual removed using morphological characteristics by vascular shadowing with OCT angiography obtained same scan. accuracy detection quantification...
We propose an innovative registration method to correct motion artifacts for widefield optical coherence tomography angiography (OCTA) acquired by ultrahigh-speed sweptsource OCT (>200 kHz A-scan rate).Considering that the number of A-scans along fast axis is much higher than positions slow in wide-field OCTA scan, a non-orthogonal scheme introduced.Two en face angiograms vertical priority (2 y-fast) are divided into microsaccade-free parallel strips.A gross based on large vessels and fine...
Automatic pancreas segmentation is crucial to the diagnostic assessment of diabetes or pancreatic cancer. However, relatively small size in upper body, as well large variations its location and shape retroperitoneum, make task challenging. To alleviate these challenges, this article, we propose a cascaded multitask 3-D fully convolution network (FCN) automatically segment pancreas. Our composed two parts. The first part focuses on fast locating region pancreas, second uses FCN with dense...
To explore the relationship of a new PET image parameter, (18)F-fluorodeoxyglucose ((18)F-FDG) uptake heterogeneity assessed by texture analysis, with maximum standardized value (SUV(max)) and tumor TNM staging.Forty consecutive patients esophageal squamous cell carcinoma were enrolled. All underwent whole-body preoperative (18)F-FDG PET/CT. Heterogeneity intratumoral was on basis textural features (entropy energy) three-dimensional images using MATLAB software. The correlations between...
In this paper, we propose a novel automatic computer-aided method to detect polyps for colonoscopy videos. To capture perceptually and semantically meaningful salient polyp regions, first segment images into multilevel superpixels. Each level corresponds different sizes of Rather than adopting hand-designed features describe these superpixels in images, employ sparse autoencoder (SAE) learn discriminative an unsupervised way. Then, unified bottom-up top-down saliency is proposed polyps. the...