Neurosurgery | Radiology Federated Learning: A Cross-Institutional Feasibility Study of Deep Learning Based Intracranial Tumor Delineation Framework for Stereotactic Radiosurgery. August 12, 2023
Oncology | Radiology Predicting survival after radiosurgery in patients with lung cancer brain metastases using deep learning of radiomics and EGFR status. March 1, 2023
Neurosurgery | Oncology | Radiology Application of artificial intelligence to stereotactic radiosurgery for intracranial lesions: detection, segmentation, and outcome prediction. January 12, 2023
Medical Imaging | Neurology | Oncology | Radiology Lesion delineation framework for vestibular schwannoma, meningioma and brain metastasis for gamma knife radiosurgery using stereotactic magnetic resonance images. December 28, 2022
Neurosurgery | Radiology Applying artificial intelligence to longitudinal imaging analysis of vestibular schwannoma following radiosurgery. February 5, 2021
Radiology Combining analysis of multi-parametric MR images into a convolutional neural network: Precise target delineation for vestibular schwannoma treatment planning. August 23, 2020