A5042615160- Radiomics and Machine Learning in Medical Imaging
- AI in cancer detection
- MRI in cancer diagnosis
- Advanced X-ray Imaging Techniques
- COVID-19 diagnosis using AI
- Medical Imaging Techniques and Applications
- Digital Holography and Microscopy
- Mesenchymal stem cell research
- Digital Imaging for Blood Diseases
- Heat shock proteins research
- Cancer Immunotherapy and Biomarkers
- Lung Cancer Diagnosis and Treatment
- Immune cells in cancer
- Endometrial and Cervical Cancer Treatments
- Photoacoustic and Ultrasonic Imaging
- Ovarian cancer diagnosis and treatment
- Digital Radiography and Breast Imaging
- Advanced Electron Microscopy Techniques and Applications
- Image Retrieval and Classification Techniques
- Heme Oxygenase-1 and Carbon Monoxide
- RNA modifications and cancer
- Infrared Thermography in Medicine
- Infectious Encephalopathies and Encephalitis
- Text and Document Classification Technologies
- Ferroptosis and cancer prognosis
Chinese PLA General Hospital
2021-2025
University of Oklahoma
2019-2024
Emory University
2024
Chinese People's Liberation Army
2019-2024
Shanghai Dianji University
2024
South China University of Technology
2024
People's Liberation Army No. 150 Hospital
2024
East China Normal University
2022
PLA Navy General Hospital
2015-2019
Xinqiao Hospital
2010-2019
Deep convolutional neural networks (CNNs) have been widely used in various medical imaging tasks. However, due to the intrinsic locality of convolution operations, CNNs generally cannot model long-range dependencies well, which are important for accurately identifying or mapping corresponding breast lesion features computed from unregistered multiple mammograms. This motivated us leverage architecture Multi-view Vision Transformers capture relationships mammograms same patient one...
Cryoablation, as a minimally invasive technology for the treatment of tumors, destroys target tumors with lethal low temperatures. It simultaneously releases large number tumor-specific antigens, pro-inflammatory cytokines, and nucleoproteins, known “danger signals”, activating body’s innate adaptive immune responses. However, tumor cells can promote inactivation effector by reprogramming checkpoints, leading to insufficiency these antigens induce an response capable eradicating tumor....
Background/Aims: Bone marrow-derived mesenchymal stem cell (BM-MSC) transplantation has therapeutic effects on endothelial damage during acute lung injury (ALI). Heme oxygenase-1 (HO-1) can restore homeostasis and implement cytoprotective defense functions in many pathologic states. Therefore, we explored whether transduction of HO-1 into BM-MSCs (MSCs-HO-1) would have an increased beneficial effect lipopolysaccharide (LPS)-induced inflammatory oxidative human pulmonary microvascular cells...
Super-resolution microscopy can transform our understanding of nanoparticle–cell interactions. Here, we established a super-resolution imaging technology to visualize nanoparticle distributions inside mammalian cells. The cells were exposed metallic nanoparticles and then embedded within different swellable hydrogels enable quantitative three-dimensional (3D) approaching electron-microscopy-like resolution using standard light microscope. By exploiting the nanoparticles' scattering...
Abstract Background Adult‐type diffuse gliomas are among the central nervous system's most aggressive malignant primary neoplasms. Despite advancements in systemic therapies and technological improvements radiation oncology treatment delivery, survival outcome for these patients remains poor. Fast accurate assessment of tumor response to oncologic treatments is crucial, as it can enable early detection recurrent or refractory gliomas, thereby allowing timely intervention with life‐prolonging...
Abstract The long non-coding RNA (lncRNA) Small Nucleolar Host Gene 4 (SNHG4) has been demonstrated to be significantly downregulated in various inflammatory conditions, yet its role chronic obstructive pulmonary disease (COPD) remains elusive. This study aims elucidate the biological function of SNHG4 COPD and unveil potential molecular targets. Our findings reveal that both Four a Half LIM Domains 1 (FHL1) were markedly COPD, whereas microRNA-409-3p (miR-409-3p) was upregulated....
Background: The combination of oral pentoxifylline (Ptx) and vitamin E (VitE) has been used to treat radiation-induced fibrosis soft tissue injury. Here, we review outcomes perform a radiomic analysis treatment effects in patients prescribed Ptx + VitE at our institution for the radiation necrosis (RN). Methods: A total 48 treated with stereotactic radiosurgery (SRS) had evidence RN MRI before after starting VitE. oncologist’s impression imaging electronic medical record was score response...
Single Ig IL-1 receptor-related molecule (SIGIRR) is one of the members Toll-like receptor (TLR)-IL-1 superfamily. Previous studies demonstrated that SIGIRR can function as a negative regulator and LPS signaling. The purpose this study was to evaluate effect enhanced expression on LPS-induced acute lung injury. We constructed recombinant adenoviral vector expressing murine (Ad.mSIGIRR) control containing no transgene (Ad.V). A total 4 × 107 plaque-forming units Ad.mSIGIRR or Ad.V were...
Acute lung injury (ALI) is a common, costly and potentially lethal disease with characteristics of alveolar‑capillary membrane disruption, pulmonary edema impaired gas exchange due to increased apoptosis inflammation. There no effective specific therapy for ALI; however, mesenchymal stem cells (MSCs) have been demonstrated be potential option. Lipopolysaccharide (LPS) highly proinflammatory molecule that used mimic an in vivo inflammatory damaged state vitro. The present study investigated...
Significance: Searching analyzable metaphase chromosomes is a critical step for the diagnosis and treatment of leukemia patients, searching efficiency limited by difficulty that conventional microscopic systems have in simultaneously achieving high resolution large field view (FOV). However, this challenge can be addressed Fourier ptychography microscopy (FPM) technology. Aim: The purpose study to investigate feasibility utilizing FPM reconstruct high-resolution chromosome images. Approach:...
Deep convolutional neural networks (CNNs) have been widely used in various medical imaging tasks. However, due to the intrinsic locality of convolution operation, CNNs generally cannot model long-range dependencies well, which are important for accurately identifying breast cancer from unregistered multi-view mammograms. This motivates us leverage architecture Vision Transformers capture relationships multiple mammograms same patient. For this purpose, we employ local Transformer blocks...
Abstract Background Developing computer aided diagnosis (CAD) schemes of mammograms to classify between malignant and benign breast lesions has attracted a lot research attention over the last several decades. However, unlike radiologists who make diagnostic decisions based on fusion image features extracted from multi‐view mammograms, most CAD are single‐view‐based schemes, which limit performance clinical utility. Purpose This study aims develop test novel framework that optimally fuses...
2D and 3D tumor features are widely used in a variety of medical image analysis tasks. However, for chemotherapy response prediction, the effectiveness between different kinds not comprehensively assessed, especially ovarian-cancer-related applications. This investigation aims to accomplish such comprehensive evaluation.