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 | Pathology | Radiology A deep learning model based on MRI for prediction of vessels encapsulating tumour clusters and prognosis in hepatocellular carcinoma. January 4, 2024
Medical Imaging | Oncology | Radiology Unsupervised Domain Adaptation Using Fourier Phase Enhanced Training Images for Liver Tumors Detection in Multi-phase CT Images. December 12, 2023
Oncology | Radiology Contrastive Learning for Preoperative Early Recurrence Prediction of Hepatocellular Carcinoma with Liver CT Image and Tumor Mask. December 12, 2023
Radiology A Boundary-Enhanced Liver Segmentation Network for Multi-Phase CT Images with Unsupervised Domain Adaptation. August 26, 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
Cardiology | Medical Imaging A fully integrated wearable ultrasound system to monitor deep tissues in moving subjects. May 22, 2023
Oncology | Pathology | Radiology Deep learning for predicting major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer: A multicentre study. November 17, 2022
Hepatology | Oncology | Radiology A novel multimodal deep learning model for preoperative prediction of microvascular invasion and outcome in hepatocellular carcinoma. November 4, 2022
Computer-aided diagnosis | Radiology Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images. October 14, 2022