Pathology | Radiology The value of CT radiomics combined with deep transfer learning in predicting the nature of gallbladder polypoid lesions. April 16, 2024
Medical Physics | Radiology Impacts of Adaptive Statistical Iterative Reconstruction-V and Deep Learning Image Reconstruction Algorithms on Robustness of CT Radiomics Features: Opportunity for Minimizing Radiomics Variability Among Scans of Different Dose Levels. February 12, 2024
Radiology CT radiomics for prediction of microvascular invasion in hepatocellular carcinoma: A systematic review and meta-analysis. August 10, 2023
Gastroenterology | Oncology | Radiology Avoid nondiagnostic EUS-FNA: A DNN model as a possible gatekeeper to distinguish pancreatic lesions prone to inconclusive biopsy. May 17, 2023
Radiology Two-step machine learning to diagnose and predict involvement of lungs in COVID-19 and pneumonia using CT radiomics. November 1, 2022
Gastroenterology | Radiology An imaging-based artificial intelligence model for non-invasive grading of hepatic venous pressure gradient in cirrhotic portal hypertension. May 2, 2022
Ophthalmology | Radiology Deep Learning-Based CT Radiomics for Feature Representation and Analysis of Aging Characteristics of Asian Bony Orbit. September 24, 2021
Oncology | Radiology Multiple Level CT Radiomics Features Preoperatively Predict Lymph Node Metastasis in Esophageal Cancer: A Multicentre Retrospective Study. February 10, 2020
Oncology | Radiology Deep Learning-Based Radiomics Models for Early Recurrence Prediction of Hepatocellular Carcinoma with Multi-phase CT Images and Clinical Data. January 17, 2020