A5048374481- Optical Coherence Tomography Applications
- Photoacoustic and Ultrasonic Imaging
- Retinal Imaging and Analysis
- AI in cancer detection
- Digital Imaging for Blood Diseases
- Image Processing Techniques and Applications
- Image and Signal Denoising Methods
- Radio Astronomy Observations and Technology
- Geotechnical Engineering and Underground Structures
- Mental Health Research Topics
- Migration, Aging, and Tourism Studies
- Building materials and conservation
- Antenna Design and Optimization
- Superconducting and THz Device Technology
- 3D Surveying and Cultural Heritage
- Memory and Neural Mechanisms
- Advanced Neural Network Applications
- Digital Mental Health Interventions
- Cell Image Analysis Techniques
- Retinal Diseases and Treatments
- Physiological and biochemical adaptations
- Color perception and design
- Geotechnical Engineering and Soil Stabilization
- Remote Sensing and LiDAR Applications
- Radio Wave Propagation Studies
State Key Laboratory of Geohazard Prevention and Geoenvironment Protection
2025
Tianjin University
2023-2024
East China Normal University
2023
Northwestern Polytechnical University
2022-2023
Dalian Medical University
2023
First Affiliated Hospital of Dalian Medical University
2023
Xinjiang Astronomical Observatory
2022-2023
Chinese Academy of Sciences
2022-2023
Chinese Academy of Fishery Sciences
2022
Northeast Agricultural University
2022
The increasing incidence of urban fires poses significant threats to structural integrity, underscoring the urgent need for concrete materials with enhanced mechanical properties post-fire. Incorporating recycled waste steel fibers (WSF) from industrial byproducts into not only bolsters its crack resistance but also advances circular economy principles by transforming valuable resources. Although a large amount research has focused on native fiber-reinforced concrete, there is still lack...
Following the completion of Great Wall Resource Survey in 2012, numerous landscape heritage resources along remained undiscovered, highlighting limitations conventional survey methods. This study aimed to conduct in-depth investigations signal sites through digital fieldwork methods, unveiling a crucial signaling structure—the auxiliary beacon—and presenting genuine historical scenes network. Through retrieval image database entire and utilization UAVs (drones) for low-altitude remote...
Objective.Learning-based histopathology image (HI) classification methods serve as important tools for auxiliary diagnosis in the prognosis stage. However, most existing are focus on a single target cancer due to inter-domain differences among different types, limiting their applicability types. To overcome these limitations, this paper presents high-performance HI method that aims address and provide an improved solution reliable practical classification.Approach.Firstly, we collect...
In recent years, supervised deep learning of image denoising has attracted extensive research interests. Those methods usually required numerous pairs noisy and its corresponding clean in training processing. However, most real situations, it is hard to collect high-quality images such as optical coherence tomography (OCT) images. Therefore, great significance study a effective de-noising network without for supervising, which only trained with image. this article, single OCT image, we...
Abstract End-stage renal disease (ESRD) results in hippocampal volume reduction, but the subfields atrophy patterns cannot be identified. We explored volumes and asymmetry of their relationships with memory function biochemical changes. Hippocampal global were derived from 33 ESRD patients 46 healthy controls (HCs) structural MRI. compared asymmetric index each subfield, receiver operating characteristic curve analysis to evaluate differentiation between HCs. The relations subfield...
Microscopic hyperspectral imaging technology combined with deep learning method emerges medical field recently as a multiplexed technology. With the semantic segmentation of histopathological image pathological tissue, doctors can quickly locate suspicious areas, diagnose and arrange treatment accurately rapidly, reducing workload them. Cholangiocarcinoma is rare devastating disease few data. Moreover, achieving high-quality annotations challenging costs time for pathologists, so generally,...
Urban space architectural color is the first feature to be perceived in a complex vision beyond shape, texture and material, plays an important role expression of urban territory, humanity style. However, because difficulty measurement, study street has been difficult achieve large-scale fine development. The measurement received attention from many disciplines. With development promotion information technology, maturity view big data deep learning technology provided ideas for research...
Automatic optical coherence tomography angiography (OCTA) vessel segmentation is of great significance to retinal disease diagnoses. Due the complex vascular structure, however, various existing factors make task challenging. This paper reports a novel end-to-end three-stage channel and position attention (CPA) module integrated graph reasoning convolutional neural network (CGNet) for OCTA segmentation. Specifically, in coarse stage, both CPA (GRN) modules are between U-shaped encoder...
The hollow enemy towers are iconic structures of the Great Wall. During a survey Ming Wall in Haigang District Qinhuangdao, researchers observed differential weathering phenomena facade tops 21 out 51 well-preserved towers. Initially, high-precision 3D data was acquired using close-range photogrammetry from drones. surface metrology analysis software Mountains introduced, which particle module can use false-color images to calibrate and measure depressions on model surface, thereby enabling...
PurposeOptical coherence tomography (OCT) is a noninvasive, high-resolution imaging modality capable of providing both cross-sectional and three-dimensional images tissue microstructures. Owing to its low-coherence interferometry nature, however, OCT inevitably suffers from speckles, which diminish image quality mitigate the precise disease diagnoses, therefore, despeckling mechanisms are highly desired alleviate influences speckles on images.ApproachWe propose multiscale denoising...
This study presents a general outline of the Qitai radio telescope (QTT) project. Qitai, site telescope, is county Xinjiang Uygur Autonomous Region China, located in east Tianshan Mountains at an elevation about 1800 m. The QTT fully steerable, Gregorian type with standard parabolic main reflector 110 m diameter. has adopted um-brella support, homology-symmetric lightweight design. active so that deformation caused by gravity can be corrected. structural design aims to ultimately allow...
Blind-spot network and its variants have shown promising results in self-supervised denoising tasks. The aim of these methods is to conceal pixels noisy image use learning recover them. However, for OCT(optical coherence tomography) images, which strong auto-correlation between pixels, more effective mask strategies optimization techniques are needed improve methods. To address this issue, paper proposes a dual strategy blind-spot (DBSN). Firstly, fast global mapper designed break the...
Optical coherence tomography (OCT) is a popular and clinically viable tool for diagnosing ocular lesions in ophthalmology. In clinical practice, however, since Macular Edema (ME) segmentation of OCT images subjective, labor-intensive, prone to error, it essential adopt computer-aided systems help ophthalmologists perform ME segmentation. this paper, we propose novel Joint Loss-Based Multi-Decoder Network, namely MDNet, Fluid Segmentation. MDNet mainly consists an encoder three decoder...
Optical coherence tomography(OCT) is a new three-dimensional tomography technology. However, the speckle noise in OCT image brings obvious limitations to its clinical application. In most real situations, it hard obtain high-quality clean images. The self-supervised deep learning method of denoising are very popular recently, because these methods do not need images, and can well solve problem that cannot be obtained scene. this paper, we proposed novel model called improved...
The construction of an aging -appropriate environment for public transportation meets the needs society. This paper takes aging-appropriate facilities in Wannsee District Berlin as example, and analyze behavior elderly Germany to take from several aspects such visual accessibility, auditory accessibility behavioral summarize design carriages, waiting cars transfer facilities, which can serve a reference other countries.