A5100400932- Radiomics and Machine Learning in Medical Imaging
- Radiopharmaceutical Chemistry and Applications
- Cardiac Imaging and Diagnostics
- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Retinal Imaging and Analysis
- Corneal Surgery and Treatments
- Advanced X-ray and CT Imaging
- Reservoir Engineering and Simulation Methods
- Monoclonal and Polyclonal Antibodies Research
- Maternal and Perinatal Health Interventions
- Dialysis and Renal Disease Management
- Corneal surgery and disorders
- Peptidase Inhibition and Analysis
- Pelvic and Acetabular Injuries
- Lung Cancer Diagnosis and Treatment
- Colorectal Cancer Treatments and Studies
- Mesenchymal stem cell research
- Advanced biosensing and bioanalysis techniques
- CO2 Sequestration and Geologic Interactions
- Endometrial and Cervical Cancer Treatments
- Cancer, Hypoxia, and Metabolism
- Acute Myocardial Infarction Research
- Antiplatelet Therapy and Cardiovascular Diseases
- Enhanced Oil Recovery Techniques
Kunming Medical University
2016-2025
Chongqing Emergency Medical Center
2025
Chongqing University
2025
First Affiliated Hospital of Soochow University
2010-2024
Soochow University
2010-2024
University of Massachusetts Chan Medical School
2022-2024
Hunan Agricultural University
2024
Southwest Jiaotong University
2023-2024
Kettering University
2024
Memorial Sloan Kettering Cancer Center
2024
Non-destructive 3D micro-computed tomography (microCT) based finite element (microFE) models are used to estimate bone mechanical properties at tissue level. However, their validation remains challenging. Recent improvements in the quantification of displacements biopsies subjected staged compression, using refined Digital Volume Correlation (DVC) techniques, now provide a full field displacement information accurate enough be for microFE validation. In this study, three specimens (two...
Simulator (Voskov et al., 2023) is a simulation framework for forward and inverse modelling uncertainty quantification of multi-physics processes in geo-engineering applications such as geothermal, CO2 sequestration, water pumping, hydrogen storage.To efficiently achieve high levels accuracy on complex geometries, it utilizes advanced numerical methods fully implicit thermo-hydro-mechanical-chemical (THMC) formulation, highly flexible finite-volume spatial approximation operator-based...
It is vital to establish an interpretable fault diagnosis model for critical equipment. Belief Rule Base (BRB) expert system gradually applied in diagnosis. However, the knowledge cannot be utilized initial BRB accurately if there are multiple referential grades different features. In addition, interpretability of BRB-based destroyed optimization process, which reflects two aspects: deviation from judgment and over-optimization parameters. To solve these problems, a new based on probability...
Imaging markers of cerebral small vessel disease provide valuable information on brain health, but their manual assessment is time-consuming and hampered by substantial intra- interrater variability. Automated rating may benefit biomedical research, as well clinical assessment, diagnostic reliability existing algorithms unknown. Here, we present the results VAscular Lesions DetectiOn Segmentation (Where VALDO?) challenge that was run a satellite event at international conference Medical...
Cerebral X-ray digital subtraction angiography (DSA) is a widely used imaging technique in patients with neurovascular disease, allowing for vessel and flow visualization high spatio-temporal resolution. Automatic artery-vein segmentation DSA plays fundamental role vascular analysis quantitative biomarker extraction, facilitating wide range of clinical applications. The adopted U-Net applied on static frames often struggles disentangling vessels from artifacts. Further, it falls short...
The efficacy of stem cell therapy is substantially compromised due to low survival rate and poor local retention post-delivery. These issues drastically limit the application cells for ischemic limb therapy, which requires effective blood perfusion skeletal muscle regeneration. Herein, based on microfluidic technology, an integrated cytokine co-delivery system designed functional salvage was constructed by first incorporating myogenic cytokine, fibroblast growth factor 19 (FGF19), into...
Abstract Background Circulating tumour cells (CTCs), especially mesenchymal CTCs, are important determinants of metastasis, which leads to most recurrence and mortality in hepatocellular carcinoma (HCC). However, little is known about the underlying mechanisms CTC colonisation pre-metastatic niches. Methods Detection classification CTCs patients were performed using CanPatrol™ system. A lentiviral vector expressing Prrx1-targeting shRNA was constructed generate a stable HCC cell line with...
This paper proposes an end-to-end deep reinforcement learning approach for mobile robot navigation with dynamic obstacles avoidance. Using experience collected in a simulation environment, convolutional neural network (CNN) is trained to predict proper steering actions of from its egocentric local occupancy maps, which accommodate various sensors and fusion algorithms. The then transferred executed on real-world guide path planning. new evaluated both qualitatively quantitatively realworld...
After androgen deprivation therapy, a significant number of prostate cancer cases progress with therapy-resistant neuroendocrine phenotype (NEPC). This represents challenge for diagnosis and treatment. Based on our previously reported design theranostic small-molecule prodrug conjugates (T-SMPDCs), herein we report T-SMPDC tailored targeted positron emission tomography (PET) imaging chemotherapy NEPC. The is built upon triazine core (TZ) to present three functionalities: (1) chelating moiety...
Chest trauma may precipitate a spectrum of injuries, among which tracheal laceration represents an uncommon but critical sequela. The occurrence could significantly impair respiratory and cardiovascular homeostasis, thereby posing life-threatening risk to the patient. Expeditious surgical intervention is paramount for therapeutic management, in certain instances, administration venovenous extracorporeal membrane oxygenation (VV ECMO) be necessitated support patient's function. This case...
Hepatocellular carcinoma (HCC) is one of the most mortality-causing solid cancers globally and second largest cause death among malignancies. Oxaliplatin, a platinum-based drug, has been widely utilized in treatment malignancies such as colorectal cancer hepatocellular carcinoma, yet its usage limited because severe side effects cytotoxicity to normal tissues. c-Met, receptor tyrosine kinase, expressed aberrantly on surface carcinoma. The purpose this study was synthesize humanized antibody...
Pelvic dimensions are crucial variables in the labour process. We used magnetic resonance imaging (MRI) pelvimetry to predict probability of vaginal delivery and distinguish cephalopelvic disproportion risk women with prolonged active labour.This prospective cohort study enrolled term nulliparous willing undergo MRI a trial labour. A nomogram, birth as outcome, was developed evaluated by calibration curve decision analyses. The pairwise association between maternal fetal parameters first...
// Guo-Qing Ru 1, * , Yong Han 2, Wei Wang 1 Yuan Chen Hui-Ju 2 Wen-Juan Xu Jie Ma Meihua Ye Xi 3 Xiang-Lei He Balázs Győrffy 4, 5 Zhong-Sheng Zhao and Dongsheng Huang Department of Pathology, Zhejiang Provincial People’s Hospital, Hangzhou, Zhejiang, PR China Clinical Research Institute, VIP Medical Center, 4 Momentum Cancer Biomarker Group, Centre for Natural Sciences, Hungarian Academy Budapest, Hungary Second Pediatrics, Semmelweis University, These auuthors have contributed...
SPECT can be used to image dopamine transporter (DaT) availability in the human striatum, e.g. for diagnosis of Parkinson's disease (PD). As traditional provides limited resolution and sensitivity, we proposed a full ring focusing multi-pinhole system (G-SPECT-I (Beekman 2015 Eur. J. Nucl. Med. Mol. Imaging 42 S209)) which demonstrated 2.5 mm reconstructed phantom scans. G-SPECT-I achieves data completeness scan region interest by translating patient bed with an xyz-stage combining...
Sarcopenia is common and contributes to a high risk of mortality among general population. There no consensus regarding the cut-off values for sarcopenia in terms chronic kidney disease patients. This study aimed explore validate points handgrip strength (HGS) lean mass index (LMI) estimating peritoneal dialysis (PD) patients.This single-center prospective cohort enrolled 1089 incident PD patients between October 2002 July 2019. All were followed until death, transfer hemodialysis, receiving...
Respiratory motion induces artifacts in reconstructed cardiac perfusion SPECT images. Correction for respiratory often relies on a signal describing the heart displacements during breathing. However, using external tracking devices to estimate signals can add cost and operational complications clinical setting.
Background Whether peritoneal protein leakage predicts risk for peritonitis in patients on dialysis (PD) is unknown. In this observational cohort study, we aimed to determine that association and, further, explore if it might be explained by systemic inflammation. Methods We prospectively followed 305 incident PD first-episode peritonitis, censoring, or the end of study. Demographics, comorbidity score, biochemistry, and clearance (PrC) were collected at baseline. The predictors analyzed...
In clinical brain SPECT, correction for photon attenuation in the patient is essential to obtain images which provide quantitative information on regional activity concentration per unit volume (kBq.[Formula: see text]). This generally requires an map ([Formula: text] map) denoting coefficient at each voxel often derived from a CT or MRI scan. However, such additional scan not always available and method may suffer registration errors. Therefore, we propose SPECT-only-based strategy...
Deep learning (DL) is becoming increasingly important in generating attenuation maps for accurate correction (AC) cardiac perfusion SPECT imaging. Typically, DL models take inputs from initial reconstructed images, which are performed on the photopeak window and often also scatter windows. While prior studies have demonstrated improvements performance when images incorporated into input, comprehensive analysis of impact employing different windows remains unassessed. Additionally, existing...
SPECT imaging with123I-FP-CIT is used for diagnosis of neurodegenerative disorders like Parkinson's disease. Attenuation correction (AC) can be useful quantitative analysis of123I-FP-CIT SPECT. Ideally, AC would performed based on attenuation maps (μ-maps) derived from perfectly registered CT scans. Suchμ-maps, however, are most times not available and possible errors in image registration induce inaccuracies corrected images. Earlier, we showed that a convolutional neural network (CNN)...