A5100705293- Radiomics and Machine Learning in Medical Imaging
- Remote-Sensing Image Classification
- Remote Sensing and Land Use
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
- Advanced X-ray and CT Imaging
- Medical Image Segmentation Techniques
- Lung Cancer Diagnosis and Treatment
- AI in cancer detection
- Remote Sensing in Agriculture
- Hepatocellular Carcinoma Treatment and Prognosis
- Advanced Image Fusion Techniques
- Glioma Diagnosis and Treatment
- Colorectal Cancer Screening and Detection
- Ovarian cancer diagnosis and treatment
- Advanced Image and Video Retrieval Techniques
- Brain Metastases and Treatment
- Prostate Cancer Diagnosis and Treatment
- Spectroscopy and Chemometric Analyses
- Robotics and Sensor-Based Localization
- Systemic Lupus Erythematosus Research
- Colorectal Cancer Surgical Treatments
- Blind Source Separation Techniques
- Infrastructure Maintenance and Monitoring
- Intracranial Aneurysms: Treatment and Complications
Hubei Normal University
2017-2025
Chinese Academy of Sciences
2014-2024
Suzhou Institute of Biomedical Engineering and Technology
2014-2024
New York University
2024
National University of Singapore
2024
Politecnico di Milano
2024
Singapore-HUJ Alliance for Research and Enterprise
2024
University of Science and Technology of China
2024
Northern Jiangsu People's Hospital
2024
International Peace Maternity & Child Health Hospital
2024
The Georgia-07-like genotype II African swine fever virus (ASFV) with high virulence has been prevalent in China since 2018. Here, we report that I ASFVs have now also emerged China. Two non-haemadsorbing ASFVs, HeN/ZZ-P1/21 and SD/DY-I/21, were isolated from pig farms Henan Shandong province, respectively. Phylogenetic analysis of the whole genome sequences suggested both isolates share similarity NH/P68 OURT88/3, two Portugal last century. Animal challenge testing revealed SD/DY-I/21 shows...
Nonnegative matrix factorization (NMF) has been recently applied to solve the hyperspectral unmixing problem because it ensures nonnegativity and needs no assumption for presence of pure pixels. However, algorithm a large amount local minima due obvious nonconvexity objective function. In order improve its performance, auxiliary constraints can be introduced into algorithm. this paper, we propose new approach named abundance separation smoothness constrained NMF by introducing two...
BackgroundAccurate lymph nodes (LNs) assessment is important for rectal cancer (RC) staging in multiparametric magnetic resonance imaging (mpMRI). However, it incredibly time-consumming to identify all the LNs scan region. This study aims develop and validate a deep-learning-based, fully-automated node detection segmentation (auto-LNDS) model based on mpMRI.MethodsIn total, 5789 annotated (diameter ≥ 3 mm) mpMRI from 293 patients with RC single center were enrolled. Fused T2-weighted images...
Abstract Background The tumor immune microenvironment can influence the prognosis and treatment response to immunotherapy. We aimed develop a non-invasive radiomic signature in high-grade glioma (HGG) predict absolute density of tumor-associated macrophages (TAMs), preponderant cells HGG. also evaluate association between signature, phenotype as well Methods In this retrospective setting, total 379 patients with HGG from three independent cohorts were included construct model named Radiomics...
Objectives: To establish a radiomic algorithm based on grayscale ultrasound images and to make preoperative predictions of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) patients. Methods: In this retrospective study, 322 cases histopathologically confirmed HCC lesions were included. The classifications performed two stages: (1) classifier #1, MVI-negative MVI-positive cases; (2) #2, further classified as M1 or M2 cases. gross-tumoral region (GTR) peri-tumoral (PTR)...
Preoperative differentiation of borderline from malignant epithelial ovarian tumors (BEOT MEOT) can impact surgical management. MRI has improved this assessment but subjective interpretation by radiologists may lead to inconsistent results.To develop and validate an objective MRI-based machine-learning (ML) model for differentiating BEOT MEOT, compare the performance against radiologists' interpretation.Retrospective study eight clinical centers.In all, 501 women with...
Background In unresectable hepatocellular carcinoma (HCC), methods to predict patients at increased risk of progression are required. Purpose To investigate the feasibility radiomics model in predicting early HCC after transcatheter arterial chemoembolization (TACE) therapy using preoperative multiparametric magnetic resonance imaging (MP‐MRI). Study Type Retrospective. Population A total 84 with BCLC B stage from one medical center. According modified response evaluation criteria solid...
Abstract Purpose To investigate the performance of magnetic resonance imaging (MRI)-based radiomics models for benign and malignant prostate lesion discrimination extracapsular extension (ECE) positive surgical margins (PSM) prediction. Methods materials In total, 459 patients who underwent multiparametric MRI (mpMRI) before biopsy were included. Radiomic features extracted from both T2-weighted (T2WI) apparent diffusion coefficient (ADC). Patients divided into different training sets...
Background Differential diagnosis of primary central nervous system lymphoma (PCNSL) and glioblastoma (GBM) is useful to guide treatment strategies. Purpose To investigate the use a convolutional neural network (CNN) model for differentiation PCNSL GBM without tumor delineation. Study Type Retrospective. Population A total 289 patients with (136) or (153) were included, average age cohort was 54 years, there 173 men 116 women. Field Strength/Sequence 3.0 T Axial contrast‐enhanced 1 ‐weighted...
Preoperative prediction of extracapsular extension (ECE) prostate cancer (PCa) is important to guide clinical decision-making and improve patient prognosis.To investigate the value multiparametric magnetic resonance imaging (mpMRI)-based peritumoral radiomics for preoperative presence ECE.Retrospective.Two hundred eighty-four patients with PCa from two centers (center 1: 226 patients; center 2: 58 patients). Cases 1 were randomly divided into training (158 patients) internal validation (68...
Purpose To develop a Weakly supervISed model DevelOpment fraMework (WISDOM) to construct lymph node (LN) diagnosis for patients with rectal cancer (RC) that uses preoperative MRI data coupled postoperative patient-level pathologic information. Materials and Methods In this retrospective study, the WISDOM was built using (T2-weighted diffusion-weighted imaging) information (the number of postoperatively confirmed metastatic LNs resected LNs) based on RC between January 2016 November 2017. The...
Online education platforms, leveraging the internet to distribute resources, seek provide convenient but often fall short in real-time communication with students. They struggle offer personalized resources due challenge of addressing diverse obstacles students encounter throughout their learning journey. Recently, emergence large language models (LLMs), such as ChatGPT, offers possibility for resolving this issue by comprehending individual requests. Although LLMs have been successful...
Our objective was to identify prognostic imaging biomarkers for hepatocellular carcinoma in contrast-enhanced computed tomography (CECT) with biological interpretations by associating features and gene modules.
Background Preoperative differentiation of primary central nervous system lymphoma (PCNSL) from glioblastoma (GBM) is important to guide neurosurgical decision‐making. Purpose To validate the generalization ability radiomics models based on multiparametric‐MRI (MP‐MRI) for differentiating PCNSL GBM. Study Type Retrospective. Population In all, 240 patients with GBM ( n = 129) or 111). Field Strength/Sequence 3.0T scanners (two vendors). Sequences: fluid‐attenuation inversion recovery,...
We examined the effect of 12 h fluid deprivation before, and three different rehydration strategies (none, fixed volume, ad libitum drinking) after exercise on post-exercise hypotension (PEH) in normotensive Asian men. The participants underwent four experimental trials, comprising euhydration (Eu), dehydration only (De), with intake (De + Fixed) Ad). completed one trials at severe intensity domain until volitional exhaustion. All other were strictly matched for time to exhaustion reported...