A5101702310- Medical Image Segmentation Techniques
- Advanced Sensor and Energy Harvesting Materials
- Retinal Imaging and Analysis
- Radiomics and Machine Learning in Medical Imaging
- Conducting polymers and applications
- Medical Imaging Techniques and Applications
- Advanced Radiotherapy Techniques
- Optical Coherence Tomography Applications
- Advanced X-ray and CT Imaging
- Advanced Neural Network Applications
- Tactile and Sensory Interactions
- Glaucoma and retinal disorders
- Adversarial Robustness in Machine Learning
- Retinal Diseases and Treatments
- Advanced Cellulose Research Studies
- AI in cancer detection
- Lung Cancer Diagnosis and Treatment
- Digital Image Processing Techniques
- Medical Imaging and Analysis
- Climate change and permafrost
- Advanced Image and Video Retrieval Techniques
- Supercapacitor Materials and Fabrication
- Gas Sensing Nanomaterials and Sensors
- Prostate Cancer Diagnosis and Treatment
- Dielectric materials and actuators
Sichuan University
2015-2025
University of Iowa
2016-2025
Chinese Academy of Sciences
2014-2025
Nanjing Tech University
2024-2025
Northwest Institute of Eco-Environment and Resources
2019-2025
Harbin Normal University
2025
Shanghai Changzheng Hospital
2025
Second Military Medical University
2025
China Medical University
2024-2025
Chinese Academy of Medical Sciences & Peking Union Medical College
2025
A composite of graphene oxide supported by needle-like MnO2 nanocrystals (GO−MnO2 nanocomposites) has been fabricated through a simple soft chemical route in water−isopropyl alcohol system. The formation mechanism these intriguing nanocomposites investigated transmission electron microscopy and Raman ultraviolet−visible absorption spectroscopy is proposed as intercalation adsorption manganese ions onto the GO sheets, followed nucleation growth crystal species double solvent system via...
Efficient segmentation of globally optimal surfaces representing object boundaries in volumetric data sets is important and challenging many medical image analysis applications. We have developed an surface detection method capable simultaneously detecting multiple interacting surfaces, which the optimality controlled by cost functions designed for individual several geometric constraints defining smoothness interrelations. The solves problem transforming it into computing a minimum...
It is a challenge to manufacture pressure‐sensing materials that possess flexibility, high sensitivity, large‐area compliance, and capability detect both tiny large motions for the development of artificial intelligence products. Herein, very simple low‐cost approach proposed fabricate versatile pressure sensors based on microcrack‐designed carbon black (CB)@polyurethane (PU) sponges via natural polymer‐mediated water‐based layer‐by‐layer assembly. These are capable satisfying requirements...
Strain sensors play an important role in the next generation of artificially intelligent products. However, it is difficult to achieve a good balance between desirable performance and easy-to-produce requirement strain sensors. In this work, we proposed simple, cost-efficient, large-area compliant strategy for fabricating highly sensitive sensor by coating polyurethane (PU) yarn with ultrathin, elastic, robust conductive polymer composite (CPC) layer consisting carbon black natural rubber....
Cellulose aerogels with low density, high mechanical strength, and thermal conductivity are promising candidates for environmentally friendly heat insulating materials. The application of cellulose as insulators in building domestic appliances, however, is hampered by their highly flammable characteristics. In this work, flame retardant were fabricated from waste cotton fabrics situ synthesis magnesium hydroxide nanoparticles (MH NPs) gel nanostructures, followed freeze-drying. Our results...
Deposition of precious metal catalysts onto the surface various supporting materials to enhance stability and catalytic activity is highly desired. Although extensive studies have been focused on supported catalysts, their preparations are mainly based use reducing agents which not environmentally benign. Herein, we report a one-pot green synthesis gold nanoparticles (Au NPs) deposited cellulose nanocrystals (CNs) under hydrothermal conditions using CNs as agent stabilizing template. Our...
Self-healing sensors with strong mechanical properties, high sensitivity to strains, and excellent mechanical/electrical self-healing ability.
This paper delves into the realm of ChatGPT, an AI-powered chatbot that utilizes topic modeling and reinforcement learning to generate natural responses. Although ChatGPT holds immense promise across various industries, such as customer service, education, mental health treatment, personal productivity, content creation, it is essential address its security, privacy, ethical implications. By exploring upgrade path from GPT-1 GPT-4, discussing model's features, limitations, potential...
Solid-solid phase change materials (SSPCMs) are considered among the most promising candidates for thermal energy storage and management. However, application of SSPCMs is consistently hindered by canonical trade-off between high TES capacity mechanical robustness. In addition, they suffer from poor recyclability due to chemical cross-linking. Herein, a straightforward but effective strategy fabricating supramolecular with latent heat strength proposed. The polymer employs multiple H-bonding...
Abstract The multiscale structural engineering strategy presents a powerful method for tailoring the attributes of materials at various levels, enabling flexible control and manipulation their electromagnetic properties. Nonetheless, orchestrating architecture polymer‐derived carbon aerogels specifically microwave absorption poses significant challenges. Herein, aramid‐derived hard nanofiber aerogel microspheres (CNFAMs) featuring hierarchical skin‐core structure are fabricated through...
Although microplastics have been detected in human blood, placenta and other tissues. In this study, for the first time, we characterized presence variation of microplastic deposition patterns three skeletal tissues, namely bone, cartilage, intervertebral discs. Forty fragments were observed 24 samples from disc, ranging 25.44 to 407.39 μm diameter. The abundance disc (61.1 ± 44.2 particles/g) was higher than those bone (22.9 15.7 cartilage tissue (26.4 17.6 particles/g). average sizes discs...
We report a one step and environment-friendly synthesis of cellulose nanocrystal (CN)-supported palladium nanoparticles (Pd NPs) without employing any other reductants, capping or dispersing agents. CNs played dual role as supporting matrix reductant they were used to obtain stable dispersions Pd NPs. The obtained hybrid material exhibited much higher activities than the unsupported polymer-supported NPs in catalyzed reduction methylene blue 4-nitrophenol. approach presented this paper...
Conductive polymer composites (CPCs) just above the percolation threshold exhibit a unique strain-reversible electric response upon application of tensile strain, which can be used to prepare strain sensors. However, it is difficult balance conductivity fundamental stable output signal and sensing sensitivity due relatively dense conductive pathways traditional CPCs. Constructing "brittle" but effective network structure in CPCs essential foundation desirable material. Here, we demonstrate...
Metal and metal oxide nanoparticles (NPs) have attracted considerable attention due to their excellent catalytic activities in various organic transformation reactions. However, widespread application is limited because of self-agglomeration solution the resulting reduced performance. Here we report that cellulose nanocrystals (CNs), which are sustainable globally available large quantities from plants, can be used as a novel support for copper (CuO) NPs with enhanced The high surface area...
Electronic sensors capable of capturing mechanical deformation are highly desirable for the next generation artificial intelligence products. However, it remains a challenge to prepare self-healing, sensitive, and cost-efficient both tiny large human motion monitoring. Here, new kind versatile strain has been developed by combining metal–ligand chemistry with hierarchical structure design. Specifically, self-healing nanostructured conductive layer is deposited onto elastomer substrate...
Cellulose nanowhisker assisted fabrication of carbon black based 3D hierarchical conductive structures in natural rubber with enhanced performance.
Automated segmentation of object boundaries or surfaces is crucial for quantitative image analysis in numerous biomedical applications. For example, retinal optical coherence tomography (OCT) images play a vital role the diagnosis and management diseases. Recently, graph based surface contour modeling have been developed optimized various tasks. These methods require expertly designed, application specific transforms, including cost functions, constraints model parameters. However, deep...
A potentiometric mechanotransduction mechanism is developed for strain-insensitive sensors and single-electrode e-skins.
A novel and straightforward synthetic strategy was developed to prepare silver nanoparticles-doped cellulose microgels (Ag NPs@CMG) nanohybrids at room temperature. Residual alkali (sodium hydroxide/urea) from a dissolving system reused acted as functional accelerant, which made it possible for Ag+ be reduced Ag0 by CMG temperature, yielding Ag NPs decorated on CMG. The as-prepared NPs@CMG exhibited excellent catalytic performance in reduction of 4-nitrophenol organic dyes. Moreover, the...
Positron emission tomography and computed (PET-CT) dual-modality imaging provides critical diagnostic information in modern cancer diagnosis therapy. Automated accurate tumor delineation is essentially important computer-assisted reading interpretation based on PET-CT. In this paper, we propose a novel approach for the segmentation of lung tumors that combines powerful fully convolutional networks (FCN) semantic framework (3D-UNet) graph cut co-segmentation model. First, two separate deep...
Non-small-cell lung cancer (NSCLC) represents approximately 80-85% of diagnoses and is the leading cause cancer-related death worldwide. Recent studies indicate that image-based radiomics features from positron emission tomography/computed tomography (PET/CT) images have predictive power for NSCLC outcomes. To this end, easily calculated functional such as maximum mean standard uptake value (SUV) total lesion glycolysis (TLG) are most commonly used prognostication, but their prognostic...