Neonatology | Radiology Automated neonatal nnU-Net brain MRI extractor trained on a large multi-institutional dataset. February 25, 2024
Neurology | Radiology 3D U-Net for automated detection of multiple sclerosis lesions: utility of transfer learning from other pathologies. November 15, 2023
Neurology | Pediatrics | Radiology Deep Learning to Predict Neonatal and Infant Brain Age from Myelination on Brain MRI Scans. July 19, 2022
Neurology | Oncology Combining radiomics and deep convolutional neural network features from preoperative MRI for predicting clinically relevant genetic biomarkers in glioblastoma. May 25, 2022
Radiology Interinstitutional Portability of a Deep Learning Brain MRI Lesion Segmentation Algorithm. February 11, 2022
Radiology Feasibility of Simulated Postcontrast MRI of Glioblastomas and Lower-Grade Gliomas by Using Three-dimensional Fully Convolutional Neural Networks. October 7, 2021
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
Neurology | Radiology Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network. January 10, 2020