A5083109662- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Medical Image Segmentation Techniques
- Renal and Vascular Pathologies
- Advanced Neural Network Applications
- Medical Imaging Techniques and Applications
- Liver Disease Diagnosis and Treatment
- Psychosomatic Disorders and Their Treatments
- Head and Neck Cancer Studies
- Hepatocellular Carcinoma Treatment and Prognosis
- Advanced Image Processing Techniques
- Liver Disease and Transplantation
- Advanced Radiotherapy Techniques
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Dementia and Cognitive Impairment Research
Zhongnan Hospital of Wuhan University
2019-2023
Wuhan University
2019-2023
Southern Medical University
2018-2020
Automatic and reliable segmentation of the pancreas is an important but difficult task for various clinical applications, such as pancreatic cancer radiotherapy computer-aided diagnosis (CAD). The main challenges accurate CT lie in two aspects: (1) large shape variation across different patients, (2) low contrast blurring around boundary. In this paper, we propose a two-stage, ensemble-based fully convolutional neural network (FCN) to solve challenging problem images. First, candidate region...
Abstract End‐stage renal disease (ESRD) is associated with vascular and neuronal dysfunction, causing neurovascular coupling (NVC) but how NVC dysfunction acts on the mechanism of cognitive impairment in ESRD patients from local to remote still poorly understood. We recruited 48 35 demographically matched healthy controls scan resting‐state functional MRI arterial spin labeling, then investigated four types between amplitude low‐frequency fluctuation (ALFF), fractional ALFF, regional...
The network connectivity basis of cognitive declines in end-stage renal disease (ESRD) remains unclear. A triple-network model the salience (SN), executive control, and default mode networks has been suggested to be critical for efficient cognition. Here, we aimed test hypothesis that SN may play a role impairment patients with ESRD. We investigated functional (FC) alterations within between 43 ESRD (19 females/24 males, 46 ± 10 years) healthy controls (HC) 47 years), performed linear...
Our study aims to determine the patterns of renal oxygenation changes and microstructural by BOLD DTI with deteriorating kidney function in patients diabetic disease (DKD). Seventy-two type 2 diabetes mellitus (DM) twenty healthy controls (HCs) underwent laboratory examinations, images were obtained on a 3T-MRI machine. R2 ∗ , fractional anisotropy (FA), average diffusion coefficient (ADC) values evaluated. DM divided into three subgroups (Group-DI/DII/DIII, based urinary albumin-creatinine...
Objective To evaluate the abnormal alters of regional homogeneity (ReHo) in patients with end stage renal disease (ESRD) by resting functional-MR imaging (rs-fMRI), and explore its relation cognitive impairment (CI). Methods A total 52 ESRD, admitted to our hospital from June 2017 July 2018, 36 age- gender-matched healthy controls were enrolled. All subjects completed rs-fMRI. ReHo analysis method was used analyze synchronism spontaneous activity between two groups. Mini-mental state...
Renal damage varies in patients with diabetic kidney disease (DKD). Our study aims to determine the patterns of renal oxygenation changes and microstructural by blood level-dependent magnetic resonance imaging (BOLD-MRI) diffusion tensor (DTI-MRI) deteriorating function.
This study aimed to develop and validate a noninvasive automated computer-aided diagnosis framework for clinically significant portal hypertension (CSPH) in cirrhosis based on contrast-enhanced computed tomography (CE-CT) images.The was developed using segmentation convolutional neural networks (CNNs) radiomics-based classification. Patients who had both HVPG measurement -CT were obtained within 14 days prior the catheterization collected. The training cohort consisted of 275 patients...