Oncology | Radiology Light&fast generative adversarial network for high-fidelity CT image synthesis of liver tumor. June 6, 2024
Biomedical imaging | Oncology | Radiology FSMN-Net: a free space matching network based on manifold convolution for optical molecular tomography. March 1, 2024
Hepatology | Oncology | Radiology A multitask deep learning radiomics model for predicting the macrotrabecular-massive subtype and prognosis of hepatocellular carcinoma after hepatic arterial infusion chemotherapy. October 6, 2023
Biomedical imaging | Radiology 3D-deep optical learning: a multimodal and multitask reconstruction framework for optical molecular tomography. July 21, 2023
Radiology Deep learning-based automatic scoring models for the disease activity of rheumatoid arthritis based on multimodal ultrasound images. July 20, 2023
Radiology Development and validation of the diagnostic accuracy of artificial intelligence-assisted ultrasound in the classification of splenic trauma. November 5, 2022
Ophthalmology | Radiology A deep learning model combining multimodal radiomics, clinical and imaging features for differentiating ocular adnexal lymphoma from idiopathic orbital inflammation. June 8, 2022
Medical Imaging | Oncology | Preclinical Research VoxDMRN: a voxelwise deep max-pooling residual network for bioluminescence tomography reconstruction. April 1, 2022
Biomedical imaging | Radiology Bioluminescence Tomography Based on One-Dimensional Convolutional Neural Networks. November 4, 2021