Radiology Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images. May 20, 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
Plant Developmental Biology In-Depth Quantification of Cell Division and Elongation Dynamics at the Tip of Growing Arabidopsis Roots Using 4D Microscopy, AI-Assisted Image Processing and Data Sonification. October 20, 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
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
Neurology | Oncology | Radiology An Intra- and Inter-Modality Fusion Model Using MR Images for Prediction of Glioma Isocitrate Dehydrogenase (IDH) Mutation. September 10, 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
Medical Imaging | Radiology VolumeNet: A Lightweight Parallel Network for Super-Resolution of MR and CT Volumetric Data. May 4, 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
Radiology VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation. June 27, 2019