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
Hepatology | Oncology | Radiology CMIR: A Unified Cross-Modality Framework for Preoperative Accurate Prediction of Microvascular Invasion in Hepatocellular Carcinoma. January 25, 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
Oncology | Pathology | Radiology Vision-Guided Attention-Enhanced Network for Predicting Microvascular Invasion in Hepatocellular Carcinoma. December 12, 2023
Medical Image Analysis | Radiology Tailored multi-organ segmentation with model adaptation and ensemble. September 19, 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
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
Oncology | Radiology Improved Genotype-Guided Deep Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer. December 11, 2021
Pulmonology | Radiology Attention-RefNet: Interactive Attention Refinement Network for Infected Area Segmentation of COVID-19. May 25, 2021