Radiology Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images. May 20, 2024
Medical Physics | Radiology Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning. April 17, 2024
Radiology A cycle generative adversarial network for generating synthetic contrast-enhanced computed tomographic images from non-contrast images in the internal jugular lymph node-bearing area. April 12, 2024
Oncology | Radiology Investigation of deep learning model for predicting immune checkpoint inhibitor treatment efficacy on contrast-enhanced computed tomography images of hepatocellular carcinoma. March 20, 2024
Radiology OA-GAN: Organ-Aware Generative Adversarial Network for Synthesizing Contrast-enhanced Medical Images. March 8, 2024
Hepatology | Oncology | Radiology Mining Whole-liver Information with Deep Learning for Preoperatively Predicting HCC Recurrence-free Survival. December 12, 2023
Cardiology | Radiology Automatic Contrast Generation from Contrastless Computed Tomography. December 12, 2023
Hepatology | Radiology | Surgery A deep learning model for prediction of post hepatectomy liver failure after hemihepatectomy using preoperative contrast-enhanced computed tomography: a retrospective study. July 14, 2023
Oncology | Radiology | Surgery Deep Learning Model Based on Contrast-Enhanced Computed Tomography Imaging to Predict Postoperative Early Recurrence after the Curative Resection of a Solitary Hepatocellular Carcinoma. April 13, 2023
Oncology | Radiology Primary Tumor Radiomic Model for Identifying Extrahepatic Metastasis of Hepatocellular Carcinoma Based on Contrast Enhanced Computed Tomography. January 8, 2023
Oncology | Radiology | Urology Automated classification of solid renal masses on contrast-enhanced computed tomography images using convolutional neural network with decision fusion. April 30, 2020