Neurology | Radiology A weakly supervised deep learning model integrating noncontrasted computed tomography images and clinical factors facilitates haemorrhagic transformation prediction after intravenous thrombolysis in acute ischaemic stroke patients. December 20, 2023
Radiology Deep learning-assisted LI-RADS grading and distinguishing hepatocellular carcinoma (HCC) from non-HCC based on multiphase CT: a two-center study. July 1, 2023
Neurology | Radiology Improving the diagnosis of acute ischemic stroke on non-contrast CT using deep learning: a multicenter study. December 5, 2022
Neurology | Oncology | Radiology Swin Transformer Improves the IDH Mutation Status Prediction of Gliomas Free of MRI-Based Tumor Segmentation. August 12, 2022
Oncology | Pathology | Radiology GMILT: A Novel Transformer Network That Can Noninvasively Predict EGFR Mutation Status. July 21, 2022
Radiology An original deep learning model using limited data for COVID-19 discrimination: A multi-center study. March 19, 2022
Orthopedics | Radiology A deep-learning model for identifying fresh vertebral compression fractures on digital radiography. September 23, 2021
Neurology | Pediatrics | Radiology Diagnosing autism spectrum disorder in children using conventional MRI and apparent diffusion coefficient based deep learning algorithms. September 5, 2021
Neurology | Radiology Deep Learning-Enabled Identification of Autoimmune Encephalitis on 3D Multi-Sequence MRI. September 3, 2021
Radiology A deep learning integrated radiomics model for identification of coronavirus disease 2019 using computed tomography. February 17, 2021
Gastroenterology | Oncology | Radiology Retrospective imaging studies of gastric cancer: Study protocol clinical trial (SPIRIT Compliant). February 21, 2020