Radiology Development and Multicenter, Multiprotocol Validation of Neural Network for Aberrant Right Subclavian Artery Detection. August 28, 2024
Neurology | Oncology | Radiology Differentiation of glioblastoma from solitary brain metastasis using deep ensembles: Empirical estimation of uncertainty for clinical reliability. June 28, 2024
Oncology | Radiology Deep learning-based metastasis detection in patients with lung cancer to enhance reproducibility and reduce workload in brain metastasis screening with MRI: a multi-center study. March 1, 2024
Neurology | Radiology Prediction of cerebral hemorrhagic transformation after thrombectomy using a deep learning of dual-energy CT. November 10, 2023
Radiology Intelligent noninvasive meningioma grading with a fully automatic segmentation using interpretable multiparametric deep learning. April 13, 2023
Radiology A Deep Learning Model with High Standalone Performance for Diagnosis of Unruptured Intracranial Aneurysm. October 21, 2021
Neurology | Radiology Robust performance of deep learning for automatic detection and segmentation of brain metastases using three-dimensional black-blood and three-dimensional gradient echo imaging. March 19, 2021
Neurology | Oncology | Radiology Robust performance of deep learning for distinguishing glioblastoma from single brain metastasis using radiomic features: model development and validation. July 24, 2020
Neurology | Oncology | Radiology Fully Automated Hybrid Approach to Predict the IDH Mutation Status of Gliomas via Deep Learning and Radiomics. July 24, 2020
Radiology A deep learning algorithm may automate intracranial aneurysm detection on MR angiography with high diagnostic performance. May 31, 2020