Radiology Deep Learning-Based Approach for Identifying and Measuring Focal Liver Lesions on Contrast-Enhanced MRI. June 3, 2024
Radiology Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images. May 20, 2024
Medical Physics | Oncology | Radiology Diagnosis of focal liver lesions from ultrasound images using a pretrained residual neural network. November 22, 2023
Medical Imaging | Oncology | Radiology Machine learning for malignant versus benign focal liver lesions on US and CEUS: a meta-analysis. June 26, 2023
Gastroenterology | Medical Imaging | Radiology Applications of Artificial Intelligence in the Automatic Diagnosis of Focal Liver Lesions: A Systematic Review. April 2, 2023
Hepatology | Radiology Evaluation of HASTE T2 weighted image with reduced echo time for detecting focal liver lesions in patients at risk of developing hepatocellular carcinoma. November 8, 2022
Radiology Saliency-based 3D convolutional neural network for categorising common focal liver lesions on multisequence MRI. November 24, 2021
Radiology Automatic Detection and Classification of Focal Liver Lesions Based on Deep Convolutional Neural Networks: A Preliminary Study. February 15, 2021
Radiology Multiphase convolutional dense network for the classification of focal liver lesions on dynamic contrast-enhanced computed tomography. August 4, 2020
Radiology Improving B-mode ultrasound diagnostic performance for focal liver lesions using deep learning: A multicentre study. June 2, 2020
Radiology Deep learning assisted differentiation of hepatocellular carcinoma from focal liver lesions: choice of four-phase and three-phase CT imaging protocol. April 1, 2020