Neurology | Radiology Deep learning-assisted diagnosis of large vessel occlusion in acute ischemic stroke based on four-dimensional computed tomography angiography. April 25, 2024
Neurology | Radiology ETUNet:Exploring efficient transformer enhanced UNet for 3D brain tumor segmentation. February 10, 2024
Neurology | Oncology | Radiology A fusion model integrating magnetic resonance imaging radiomics and deep learning features for predicting alpha-thalassemia X-linked intellectual disability mutation status in isocitrate dehydrogenase-mutant high-grade astrocytoma: a multicenter study. January 15, 2024
Neurology | Radiology LVONet: automatic classification model for large vessel occlusion based on the difference information between left and right hemispheres. January 11, 2024
Oncology | Pathology | Radiology | Surgery Feasibility and effectiveness of automatic deep learning network and radiomics models for differentiating tumor stroma ratio in pancreatic ductal adenocarcinoma. December 22, 2023
Neurology | Oncology | Radiology Preoperative Discrimination of CDKN2A/B Homozygous Deletion Status in Isocitrate Dehydrogenase-Mutant Astrocytoma: A Deep Learning-Based Radiomics Model Using MRI. August 9, 2023
Neurology | Radiology Automatic evaluating of multi-phase cranial CTA collateral circulation based on feature fusion attention network model. June 5, 2023
Neurology | Radiology Merging Multiphase CTA Images and Training Them Simultaneously with a Deep Learning Algorithm Could Improve the Efficacy of AI Models for Lateral Circulation Assessment in Ischemic Stroke. July 31, 2022
Neurology | Radiology Clinical Variables, Deep Learning and Radiomics Features Help Predict the Prognosis of Adult Anti-N-methyl-D-aspartate Receptor Encephalitis Early: A Two-Center Study in Southwest China. June 20, 2022