Neurosurgery | Oncology | Radiology Fully automatic mpMRI analysis using deep learning predicts peritumoral glioblastoma infiltration and subsequent recurrence. May 14, 2024
Neurology | Radiology Differentiation Between Glioblastoma and Metastatic Disease on Conventional MRI Imaging Using 3D-Convolutional Neural Networks: Model Development and Validation. November 17, 2023
Neuro-Oncology | Radiology AI-based Classification of Three Common Malignant Tumors in Neuro-oncology: A Multi-Institutional Comparison of Machine Learning and Deep Learning Methods. August 31, 2023
Neurology | Oncology | Radiology MRI-Based Radiomics Combined with Deep Learning for Distinguishing IDH-Mutant WHO Grade 4 Astrocytomas from IDH-Wild-Type Glioblastomas. February 11, 2023
Infectious Disease | Neurology | Radiology Neuroimaging Patterns of Intracranial Infections: Meningitis, Cerebritis, and Their Complications. November 20, 2022
Neurology | Oncology | Radiology Clinical measures, radiomics, and genomics offer synergistic value in AI-based prediction of overall survival in patients with glioblastoma. May 24, 2022
Neurology | Radiology Subspecialty-Level Deep Gray Matter Differential Diagnoses with Deep Learning and Bayesian Networks on Clinical Brain MRI: A Pilot Study. May 3, 2021
Neuroradiology | Radiology Artificial Intelligence System Approaching Neuroradiologist-level Differential Diagnosis Accuracy at Brain MRI. April 7, 2020
Pathology | Radiology Histopathology-validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo-progression in glioblastoma. March 4, 2020