A5116820688- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Fetal and Pediatric Neurological Disorders
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Functional Brain Connectivity Studies
- Pulmonary Hypertension Research and Treatments
- Medical Imaging and Analysis
- Image Retrieval and Classification Techniques
- AI in cancer detection
- PI3K/AKT/mTOR signaling in cancer
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
- Vestibular and auditory disorders
- Neural and Behavioral Psychology Studies
- Advanced Image and Video Retrieval Techniques
- Cancer-related molecular mechanisms research
- Plant Reproductive Biology
- Handwritten Text Recognition Techniques
- ATP Synthase and ATPases Research
- EEG and Brain-Computer Interfaces
- Macrophage Migration Inhibitory Factor
- Brain Tumor Detection and Classification
- Kruppel-like factors research
- RNA modifications and cancer
Harvard University
2021-2025
Sun Yat-sen University
2025
Brigham and Women's Hospital
2021-2025
Mass General Brigham
2025
The First Affiliated Hospital, Sun Yat-sen University
2025
Nanjing Medical University
2020-2025
Boston University
2025
The University of Sydney
2021-2024
Center of Hubei Cooperative Innovation for Emissions Trading System
2024
Wuhan Polytechnic University
2024
Abstract Objectives High‐mobility group box‐1 (HMGB1) and aberrant mitochondrial fission mediated by excessive activation of GTPase dynamin‐related protein 1 (Drp1) have been found to be elevated in patients with pulmonary arterial hypertension (PAH) critically implicated PAH pathogenesis. However, it remains unknown whether Drp1‐mediated which downstream targets mediate HMGB1‐induced smooth muscle cells (PASMCs) proliferation migration leading vascular remodelling PAH. This study aims...
The tumor microenvironment (TME) can aid cells in evading surveillance and clearance by immune cells, creating an internal environment conducive to cell growth. Consequently, there is a growing focus on researching anti-tumor immunity through the regulation of within TME. Various bioactive compounds traditional Chinese medicine (TCM) are known alter balance modulating activity In turn, this enhances body’s response, thus promoting effective elimination cells. This study aims consolidate...
ABSTRACT Tractography parcellation classifies streamlines reconstructed from diffusion MRI into anatomically defined fiber tracts for clinical and research applications. However, scans often have incomplete fields of view (FOV) where brain regions are partially imaged, leading to partial, or truncated tracts. To address this challenge, we introduce TractCloud‐FOV, a deep learning framework that robustly parcellates tractography under conditions FOV. We propose novel training strategy,...
The study of brain differences across Eastern and Western populations provides vital insights for understanding potential cultural genetic influences on cognition mental health. Diffusion MRI (dMRI) tractography is an important tool in assessing white matter (WM) connectivity tissue microstructure different populations. However, a comprehensive investigation into WM fiber tracts between challenged due to the lack cross-population atlas large site-specific variability dMRI data. This presents...
Language and theory of mind (ToM) are the cognitive capacities that allow for successful interpretation expression meaning. While functional MRI investigations able to consistently localize language ToM specific cortical regions, diffusion point an inconsistent sometimes overlapping set white matter tracts associated with these two domains. To further examine may underlie domains, we use a two-tensor tractography method investigate microstructure 809 participants from Human Connectome...
White matter fiber clustering is an important strategy for white parcellation, which enables quantitative analysis of brain connections in health and disease. In combination with expert neuroanatomical labeling, data-driven a powerful tool creating atlases that can model anatomy across individuals. While widely used approaches have shown good performance using classical unsupervised machine learning techniques, recent advances deep reveal promising direction toward fast effective clustering....
Moonlighting proteins perform two or more cellular functions, which are selected based on various contexts including the cell type they expressed, their oligomerization status, and binding of different ligands at sites. To understand overall landscape functional diversity, it is important to establish methods that can identify moonlighting in a systematic fashion. Here, we have developed computational framework find genome scale identified multiple proteomic characteristics these proteins....
Cd-CP2 and Eu 3+ /Tb -functionalized samples were obtained for effective detection of uric acid (UA) N -acetylneuraminic (NANA).
A novel deep learning model, DiffuCNN, is introduced in this paper, specifically designed for counting tobacco lesions complex agricultural settings. By integrating advanced image processing techniques with methodologies, the model significantly enhances accuracy of detecting under low-resolution conditions. After lesions, grading disease severity achieved through counting. The key features DiffuCNN include a resolution enhancement module based on diffusion, an object detection network...
Sphingosine-1-phosphate (S1P), a natural multifunctional phospholipid, is highly increased in plasma from patients with pulmonary arterial hypertension and mediates proliferation of artery smooth muscle cells (PASMCs) by activating the Notch3 signaling pathway. However, mechanisms underpinning S1P-mediated induction PASMCs remain unclear. In this study, using biochemical molecular biology approaches, RNA interference gene expression analyses, 5′-ethynyl-2′-deoxyuridine incorporation assay,...
Accurate detection and classification of breast lesions in early stage is crucial to timely formulate effective treatments for patients. We aim develop a fully automatic system detect classify using multiple contrast-enhanced mammography (CEM) images.In this study, total 1,903 females who underwent CEM examination from three hospitals were enrolled as the training set, internal testing pooled external set prospective set. Here we developed CEM-based multiprocess (MDCS) perform task lesions....
Abstract The cerebellum, long implicated in movement, is now recognized as a contributor to higher-order cognition. cerebellar pathways provide key structural links between the cerebellum and cerebral regions integral language, memory, executive function. Here, we present large-scale, cross-sectional diffusion MRI (dMRI) analysis investigating relationships pathway microstructure cognitive performance over 9,000 participants spanning pre-adolescence (n>8,000 from ABCD dataset) young...
Medical image registration is a fundamental task in medical analysis, aiming to establish spatial correspondences between paired images. However, existing unsupervised deformable methods rely solely on intensity-based similarity metrics, lacking explicit anatomical knowledge, which limits their accuracy and robustness. Vision foundation models, such as the Segment Anything Model (SAM), can generate high-quality segmentation masks that provide structure addressing limitations of traditional...
Abstract The fine-grained segmentation of cerebellar structures is an essential step towards supplying increasingly accurate anatomically informed analyses, including, for example, white matter diffusion magnetic resonance imaging (MRI) tractography. Cerebellar tissue typically performed on structural data, such as T1-weighted while connectivity between segmented regions mapped using MRI tractography data. Small deviations in to data co-registration may negatively impact analyses. Reliable...
<title>Abstract</title> Anorexia nervosa (AN) is linked to changes in autonomic function, but the specific neuroanatomical substrates of these are not well understood. In this study, we used diffusion-weighted imaging examine white matter structure ventromedial prefrontal cortex–dorsal vagal complex (vmPFC-DVC) pathway, which essential for regulation. Compared healthy controls, individuals with AN showed significantly higher fractional anisotropy and axial diffusivity, as more streamlines...
Abstract Researchers commonly use cyclization recombination enzyme/locus of X-over P1 (Cre/loxP) technology-based conditional gene knockouts model mice to investigate the functional roles genes interest in Sertoli and Leydig cells within testis. However, shortcomings these genetic tools include high costs, lengthy experimental periods, limited accessibility for researchers. Therefore, exploring alternative silencing techniques is great practical value. In this study, we employed...