Neuro-Oncology | Radiology Glioblastoma and Radiotherapy: a multi-center AI study for Survival Predictions from MRI (GRASP study). January 29, 2024
Neurology | Oncology | Radiology Generative AI in glioma: ensuring diversity in training image phenotypes to improve diagnostic performance for IDH mutation prediction. January 22, 2024
Neuro-Oncology | Radiology Added Prognostic Value of 3D Deep Learning-Derived Features from Preoperative MRI for Adult-type Diffuse Gliomas. October 19, 2023
Neuro-Oncology | Neurology | Radiation Oncology Whole-brain radiotherapy associated with structural changes resembling aging as determined by anatomic surface-based deep learning. February 3, 2023
Neurology | Oncology | Radiology Application of radiomics to meningiomas: a systematic review. February 1, 2023
Neuro-Oncology | Radiology Deep learning based on preoperative MR images improves the predictive power of survival models in primary spinal cord astrocytomas. December 23, 2022
Neurology | Radiology False-negative and false-positive outcomes of computer aided detection on brain metastasis: secondary analysis of a multicenter, multireader study. August 9, 2022
Neurology | Radiology Development and validation of a deep-learning model for detecting brain metastases on 3D post-contrast MRI: a multi-center multi-reader evaluation study. January 31, 2022
Neurology | Oncology | Radiology Improving the noninvasive classification of glioma genetic subtype with deep learning and diffusion-weighted imaging. October 15, 2021
Neurology | Oncology | Radiology Randomized Multi-Reader Evaluation of Automated Detection and Segmentation of Brain Tumors in Stereotactic Radiosurgery with Deep Neural Networks. March 23, 2021
Neuro-Oncology | Radiology Brain Metastasis Detection using Machine Learning: A Systematic Review and Meta-analysis. October 19, 2020
Neurology | Oncology | Radiology Fully Automated Hybrid Approach to Predict the IDH Mutation Status of Gliomas via Deep Learning and Radiomics. July 24, 2020