Radiology Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images. May 20, 2024
Radiology OA-GAN: Organ-Aware Generative Adversarial Network for Synthesizing Contrast-enhanced Medical Images. March 8, 2024
Oncology | Radiology Contrastive Learning for Preoperative Early Recurrence Prediction of Hepatocellular Carcinoma with Liver CT Image and Tumor Mask. December 12, 2023
Hepatology | Oncology | Radiology Phase Attention Model for Prediction of Early Recurrence of Hepatocellular Carcinoma With Multi-Phase CT Images and Clinical Data. July 26, 2023
Oncology | Pathology | Radiology Deep Learning Radiomics Model of Dynamic Contrast-Enhanced MRI for Evaluating Vessels Encapsulating Tumor Clusters and Prognosis in Hepatocellular Carcinoma. April 20, 2023
Hepatology | Oncology | Radiology A novel multimodal deep learning model for preoperative prediction of microvascular invasion and outcome in hepatocellular carcinoma. November 4, 2022
Radiology An original deep learning model using limited data for COVID-19 discrimination: A multi-center study. March 19, 2022
Pulmonology | Radiology Attention-RefNet: Interactive Attention Refinement Network for Infected Area Segmentation of COVID-19. May 25, 2021
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