Yi Yu

ORCID: 0000-0002-3153-7113
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About
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Research Areas
  • EEG and Brain-Computer Interfaces
  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • Pancreatic function and diabetes
  • Diabetes Management and Research
  • Medical Image Segmentation Techniques
  • Mental Health Research Topics
  • Diabetes and associated disorders
  • Remote-Sensing Image Classification
  • Pain Mechanisms and Treatments
  • Pancreatitis Pathology and Treatment
  • Metabolism, Diabetes, and Cancer
  • Advanced Image Fusion Techniques
  • Retinal Imaging and Analysis
  • Photoacoustic and Ultrasonic Imaging
  • Muscle activation and electromyography studies
  • Advanced MRI Techniques and Applications
  • Hand Gesture Recognition Systems
  • Mechanics and Biomechanics Studies
  • Thermography and Photoacoustic Techniques
  • Effects of Vibration on Health
  • Digital Imaging for Blood Diseases
  • Prosthetics and Rehabilitation Robotics
  • Ovarian cancer diagnosis and treatment
  • Hydrogels: synthesis, properties, applications

Xinxiang Medical University
2016-2025

Henan Psychiatric Hospital
2023-2025

Peking University
2002-2024

Chinese Academy of Medical Sciences & Peking Union Medical College
2022-2024

Peking Union Medical College Hospital
2022-2024

Beijing National Laboratory for Molecular Sciences
2022

Macau University of Science and Technology
2022

National Clinical Research Center for Digestive Diseases
2022

Stomatology Hospital
2022

Xinxiang University
2018-2021

Various retinal vessel segmentation methods based on convolutional neural networks were proposed recently, and Dense U-net as a new semantic network was successfully applied to scene segmentation. Retinal is tiny, the features of can be learned effectively by patch-based learning strategy. In this study, we framework process training, training patches obtained random extraction strategy, adopted network, transformation used data augmentation testing, test images divided into image patches,...

10.3390/e21020168 article EN cc-by Entropy 2019-02-12

Currently, breast cancer (BRCA) has become the most common in world, whose pathological mechanism is complex. Among its subtypes, triple-negative (TNBC) worst prognosis. With increasing number of diagnosed TNBC patients, urgent need novel biomarkers also rising. Cyclin-dependent kinase inhibitor 2A (CDKN2A) recently emerged as a key regulator associated with ferroptosis and cuproptosis (FAC) exhibited significant effect on BRCA, but detailed remains elusive. Herein, we conducted first...

10.3389/fimmu.2022.970950 article EN cc-by Frontiers in Immunology 2022-08-16

Schizophrenia(SZ) classification and treatment response prediction hold substantial clinical application value. However, only a limited number of researchers have exploited the multi-feature information derived from resting-state functional magnetic resonance imaging (rs-fMRI) to achieve short-term drug-treatment SZ prediction. We developed fusion recursive feature elimination random forest (RFE-RF) approach for Initially, we computed multiple features, such as regional homogeneity,...

10.1038/s41598-025-89359-5 article EN cc-by-nc-nd Scientific Reports 2025-03-12

1. The activity of 197 single dorsal horn neurons was recorded extracellularly in the spinal cord decerebrate, spinalized, unanesthetized rats. response properties 174 wide dynamic range (WDR) to electrical, mechanical, and thermal stimulation three groups rats were studied:normal, 1-4 days after transient ischemia induced photochemically by laser irradiation when exhibited behavioral hypersensitivity mechanical stimuli (allodynia), 10-20 allodynia had ceased. 2. In normal rats, responses...

10.1152/jn.1992.68.2.384 article EN Journal of Neurophysiology 1992-08-01

The Ca2+ modulated pulsatile glucagon and insulin secretions by pancreatic α β cells play a crucial role in glucose homeostasis. However, how coordinate to produce various oscillation patterns is still elusive. Using microfluidic device transgenic mice, we recorded signals from islet cells, observed heterogeneous intrinsic each islet. After brief period of stimulation, cells' oscillations were globally phase-locked. While the activation displayed fixed time delay ~20 s that activated with...

10.1038/s41467-022-31373-6 article EN cc-by Nature Communications 2022-06-28

At present, lots of studies have tried to apply machine learning different electroencephalography (EEG) measures for diagnosing schizophrenia (SZ) patients. However, most EEG previously used are either a univariate measure or single type brain connectivity, which may not fully capture the abnormal changes SZ In this paper, event-related potentials were collected from 45 patients and 30 healthy controls (HCs) during task, then combination partial directed coherence (PDC) effective phase lag...

10.3389/fnins.2021.651439 article EN cc-by Frontiers in Neuroscience 2021-06-03

In schizophrenia, executive dysfunction is the most critical cognitive impairment, and associated with abnormal neural activities, especially in frontal lobes. Complexity estimation using electroencephalogram (EEG) recording based on nonlinear dynamics task performance tests have been widely used to estimate schizophrenia. The present study estimated cool function fractal dimension (FD) values of EEG data recorded from first-episode schizophrenia patients healthy controls during three tasks,...

10.1186/s12938-016-0282-y article EN cc-by BioMedical Engineering OnLine 2016-11-25

Special equipment drivers often suffered from vibration which threatened their physical and mental health. In order to study the riding comfort of a special cab, hammering experiment has been carried out on it by acceleration sensors. According test results, natural frequency calculated was compared with result analysis finite element method. Next, operating condition flat road done. The characteristics whole vehicle were obtained later. results show that cab agree well, but is close human...

10.1155/2018/7140610 article EN cc-by Journal of Sensors 2018-01-01

Introduction At present, elucidating the cortical origin of EEG microstates is a research hotspot in field EEG. Previous studies have suggested that prefrontal cortex closely related to microstate C and D, but whether there causal link between or D remains unclear. Methods In this study, pretrial data were collected from ten patients with lesions (mainly located inferior middle frontal gyrus) fourteen matched healthy controls, analysis was applied. Results Our results showed four classical...

10.3389/fnins.2023.1306120 article EN cc-by Frontiers in Neuroscience 2023-12-14

At present, little is known about brain functional connectivity and its small-world topologic properties in first-episode schizophrenia (SZ) patients during cool executive function task. In this paper, the Trail Making Test-B (TMT-B) task was used to evaluate of SZ electroencephalography (EEG) data were recorded from 14 healthy controls Brain between all pairs EEG channels constructed based on mutual information (MI) analysis. The networks filtered by three thresholding schemes: absolute...

10.1155/2018/2191208 article EN cc-by Behavioural Neurology 2018-09-05

Diffeomorphic demons can not only guarantee smooth and reversible deformation, but also avoid unreasonable deformation. However, the number of iterations which has great influence on registration result needs to be set manually. This study proposed a novel method exploit adaptive diffeomorphic multi-resolution algorithm non-rigid same modality medical images with large Firstly an optimized framework diffeomorphism strategy were used, then similarity energy function based grey value was...

10.1186/s12880-018-0267-3 article EN cc-by BMC Medical Imaging 2018-08-09

Diffeomorphic demons can guarantee smooth and reversible deformation avoid unreasonable deformation. However, the number of iterations needs to be set manually, this greatly influences registration result. In order solve problem, we proposed adaptive diffeomorphic multiresolution in paper. We used an optimized framework with nonrigid diffeomorphism strategy, designed a similarity energy function based on grey value, stopped adaptively. This method was tested by synthetic image same modality...

10.1155/2018/7314612 article EN cc-by International Journal of Biomedical Imaging 2018-01-01

Schizophrenia classification and abnormal brain network recognition have an important research significance. Researchers proposed many methods based on machine learning deep learning. However, fewer studies utilized the advantages of complementary information from multi feature to learn best representation schizophrenia. In this study, we a multi-feature fusion (MFFN) using functional connectivity (FNC) time courses (TC) distinguish schizophrenia patients healthy controls. DNN backbone was...

10.1016/j.brainresbull.2023.110848 article EN cc-by Brain Research Bulletin 2023-12-15

Besides the SM-like Higgs boson h, Georgi–Machacek (GM) model predicts existence of doubly-charged bosons H5±± in 5-plet representation, which can be seen typical particles this model. We first used latest diphoton signal strength data to find allowed region at 2σ confidence level on plane scalar mass values mH and triple coupling parameter ghHH, then focus study production process e+e−→hH5++H5−− future International Linear collider (ILC). Our numerical results show that, cross section are...

10.1016/j.physletb.2016.06.014 article EN cc-by Physics Letters B 2016-06-15
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