Area of research
Radiology, Nuclear Medicine and Imaging · Pulmonary and Respiratory Medicine
Research interest
Research interests include Radiomics and Machine Learning in Medical Imaging, Lung Cancer Diagnosis and Treatment, Medical Imaging Techniques and Applications, and AI in cancer detection.
Multi-modal AI for opportunistic screening, staging and progression risk stratification of steatotic liver disease.
Non-contrast CT esophageal varices grading through clinical prior-enhanced multi-organ analysis.
Synergizing meat science and interpretable AI: Quantifying crispness gradients for quality authentication of Tilapia fillet processing
AI-based large-scale screening of gastric cancer from noncontrast CT imaging.
Improving SOC estimation in low-relief farmlands using time-series crop spectral variables and harmonic component variables based on minimum sample size
Multi-modal AI for Opportunistic Screening, Staging and Progression Risk Stratification of Steatotic Liver Disease
CD74 as a prognostic and M1 macrophage infiltration marker in a comprehensive pan-cancer analysis
Rapid non-destructive evaluation of texture properties changes in crispy tilapia during crispiness using hyperspectral imaging and data fusion
Large-scale pancreatic cancer detection via non-contrast CT and deep learning
Large-scale pancreatic cancer detection via non-contrast CT and deep learning.
Artificial Intelligence to Predict Lymph Node Metastasis at CT in Pancreatic Ductal Adenocarcinoma.
Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer: A Retrospective Multicenter Study.
Hyperspectral Imaging Combined with Convolutional Neural Network for Rapid and Accurate Evaluation of Tilapia Fillet Freshness
Molecular characterization of farnesoid X receptor alpha in Megalobrama amblycephala and its potential roles in high-carbohydrate diet-induced alterations of bile acid metabolism
Elevated FAM84B promotes cell proliferation via interacting with NPM1 in esophageal squamous cell carcinoma
Deep Learning for Fully Automated Prediction of Overall Survival in Patients with Oropharyngeal Cancer Using FDG-PET Imaging.
DeepPrognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understanding of dynamic contrast-enhanced CT imaging and tumor-vascular contact parsing.
Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation.
Data Augmentation and Transfer Learning to Improve Generalizability of an Automated Prostate Segmentation Model
Data Augmentation and Transfer Learning to Improve Generalizability of an Automated Prostate Segmentation Model.
Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data.
A Deep Calibration Method for Low-Cost Air Monitoring Sensors With Multilevel Sequence Modeling
CD22-targeted CAR T cells induce remission in B-ALL that is naive or resistant to CD19-targeted CAR immunotherapy
T cells expressing CD19 chimeric antigen receptors for acute lymphoblastic leukaemia in children and young adults: a phase 1 dose-escalation trial
Segmentation of cytoplasm and nuclei of abnormal cells in cervical cytology using global and local graph cuts
[Real-time three dimensional echocardiography-based evaluation of left ventricular function in children with Kawasaki disease].
PubMed 2014cited by 0position: middle
Automation‐assisted cervical cancer screening in manual liquid‐based cytology with hematoxylin and eosin staining
Mineral and bone disorder in Chinese dialysis patients: a multicenter study