A5100338793- Neuroscience and Neural Engineering
- Advanced Memory and Neural Computing
- Photoreceptor and optogenetics research
- EEG and Brain-Computer Interfaces
- Nerve injury and regeneration
- Advanced Neural Network Applications
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Visual Attention and Saliency Detection
- Neuropeptides and Animal Physiology
- Retinal and Macular Surgery
- Retinal Imaging and Analysis
- Smart Agriculture and AI
- Ocular and Laser Science Research
- Intraocular Surgery and Lenses
- CCD and CMOS Imaging Sensors
- Spectroscopy and Chemometric Analyses
- Industrial Vision Systems and Defect Detection
- Advanced Chemical Sensor Technologies
- Neurogenesis and neuroplasticity mechanisms
- Nuclear Receptors and Signaling
- Retinal and Optic Conditions
- Virus-based gene therapy research
- Signaling Pathways in Disease
- Emotion and Mood Recognition
Harbin Institute of Technology
2021-2025
Tung Wah Hospital
2024-2025
Shenzhen Institute of Information Technology
2024
Shanghai Jiao Tong University
2014-2024
Southwest Jiaotong University
2024
National Center of Neurology and Psychiatry
2012-2024
Qingdao Agricultural University
2024
University of Shanghai for Science and Technology
2024
Southern University of Science and Technology
2021-2024
China Medical University
2024
Peripheral nerves are fragile and easily damaged, usually resulting in nervous tissue loss, motor sensory function loss. Advances neuroscience engineering have been significantly contributing to bridge the damage nerve create permissive environment for axonal regrowth across lesions. We successfully designed two self-assembling peptides by modifying RADA 16-I with functional motifs IKVAV RGD. Nanofiber hydrogel formed when combing neutral solutions together, defined as 16-Mix that overcomes...
Underwater target detection is an indispensable part of marine environmental engineering and a fast accurate method detecting underwater targets essential. Although many algorithms have achieved great accuracy in daily scenes, there are issues low-quality images due to the complex environment, which makes applying these deep learning directly process tasks difficult. In this paper, we presented algorithm for based on improved You Only Look Once (YOLO) v4 response environment. First,...
Decoupling domain-variant information (DVI) from domain-invariant (DII) serves as a prominent strategy for mitigating domain shifts in the practical implementation of deep learning algorithms. However, medical settings, concerns surrounding data collection and privacy often restrict access to both training test data, hindering empirical decoupling by existing methods. To tackle this issue, we propose an Autonomous Information Filter-driven Source-free Domain Adaptation (AIF-SFDA) algorithm,...
To detect white matter microstructural alterations in patients with primary aldosteronism (PA) normal cognitive function using diffusion tensor imaging (DTI). This study included PA and normotensive healthy controls (HCs). MRI (T1-weighted) DTI data were collected for all participants. Using the Johns Hopkins University fiber tractography template, we calculated values of fractional anisotropy (FA), axial diffusivity (AD), radial (RD), mean (MD). Compared to HC group, group showed...
Purpose This study aims to investigate the influence of dendritic cells (DCs) on corneal nerve morphology and clinical significance in chronic Femtosecond Laser-Assisted Laser Situ Keratomileusis (FS-LASIK) related dry eye disease (DED). Methods The cross-sectional was conducted involving healthy control, DED without FS-LASIK group, after group. Clinical parameters such as ocular surface index (OSDI), fluorescein tear breakup time (FBUT), staining (CFS) scores, Schirmer I test (SIt),...
Decoupling domain-variant information (DVI) from domain-invariant (DII) serves as a prominent strategy for mitigating domain shifts in the practical implementation of deep learning algorithms. However, medical settings, concerns surrounding data collection and privacy often restrict access to both training test data, hindering empirical decoupling by existing methods. To tackle this issue, we propose an Adaptive Information Filter-driven Source-free Domain Adaptation (AIF-SFDA) algorithm,...
Abstract Following root avulsion, spinal nerves are physically disconnected from the cord. Severe motoneuron death and inefficient axon regeneration often result in devastating motor dysfunction. Newly formed axons need to extend through inhibitory scar tissue at CNS-PNS transitional zone before entering into a pro-regenerative peripheral nerve trajectory. CSPGs dominant suppressors exert inhibition via neuronal receptors including PTPσ. Previously, small peptide memetic of PTPσ wedge region...
While Brain-derived Neurotrophic Factor (BDNF) has long been implicated in treating neurological diseases, recombinant BDNF protein failed multiple clinical trials. In addition to its unstable and adhesive nature, can activate p75NTR, a receptor mediating cellular functions opposite those of TrkB. We have now identified TrkB agonistic antibodies (TrkB-agoAbs) with several properties superior BDNF: They exhibit blood half-life days instead hours, diffuse centimeters neural tissues...
Abstract Retinal prostheses have the potential to restore partial vision. Object recognition in scenes of daily life is one essential tasks for implant wearers. Still limited by low‐resolution visual percepts provided retinal prostheses, it important investigate and apply image processing methods convey more useful information We proposed two strategies based on Itti's saliency map, region interest ( ROI ) extraction, segmentation. model generated a map from original image, which salient...
Retinal electrical stimulation is a widely utilized method to restore visual function for patients with retinal degenerative diseases. Transcorneal (TES) represents an effective way improve the due its potential neuroprotective effect. However, TES single electrode fails spatially and selectively stimulate neurons. Herein, computational modeling was proposed explore feasibility of selective via temporally interfering electric fields. An eyeball model multiple electrodes constructed simulate...
Deep learning models can enhance the detection efficiency and accuracy of rapid on-site screening for imported grains at customs, satisfying need high-throughput, efficient, intelligent operations. However, construction datasets, which is crucial deep models, often involves significant labor time costs. Addressing challenges associated with establishing high-resolution instance segmentation datasets small objects, we integrate two zero-shot Grounding DINO Segment Anything model, into a...
Conventional retinal implants involve complex surgical procedures and require invasive implantation. Temporal Interference Stimulation (TIS) has achieved noninvasive focused stimulation of deep brain regions by delivering high-frequency currents with small frequency differences on multiple electrodes. In this study, we conducted
Accurate deformable image registration is necessary for longitudinal studies. The error associated with commercial systems has been evaluated using computed tomography (CT). Several in-house algorithms have use magnetic resonance imaging (MRI), but there still relatively little information about MRI registration. This work presents an evaluation of two systems, one (Velocity) and (demons-based algorithm), different metrics to quantify the error.The was analyzed synthetic MR images. These...
Cataract presents the leading cause of preventable blindness in world. The degraded image quality cataract fundus increases risk misdiagnosis and uncertainty preoperative planning. Unfortunately, absence annotated data, which should consist images corresponding clear ones from same patients after surgery, limits development restoration algorithms for images. In this paper, we propose an end-to-end unsupervised method to enhance clinical observation fundus. proposed begins with constructing...
Defect detection is crucial in quality control for fabric production. Deep-learning-based unsupervised reconstruction methods have been recognized universally to address the scarcity of defect samples, high costs labeling, and insufficient prior knowledge. However, these are subject several weaknesses reconstructing images into defect-free with quality, like image blurring, residue, texture inconsistency, resulting false missed detection. Therefore, this article proposes an method surface...
Injuries to peripheral nerves are frequent in serious traumas and spinal cord injuries. In addition surgical approaches, other interventions, such as cell transplantation, should be considered keep the muscles good condition until axons regenerate. this study, E14.5 rat embryonic fetal cells cultured neural progenitor from different segments were injected into transected musculocutaneous nerve of 200-300 g female Sprague Dawley (SD) rats, atrophy biceps brachii was assessed. Both kinds able...