Neurology | Oncology | Radiology Improving the Generalizability of Deep Learning for T2-Lesion Segmentation of Gliomas in the Post-Treatment Setting. May 25, 2024
Orthopedics | Pain Medicine | Radiology Technology and Tool Development for BACPAC: Qualitative and Quantitative Analysis of Accelerated Lumbar Spine MRI with Deep-Learning Based MR Image Reconstruction at 3T. March 21, 2023
Neurology | Radiology DeepSWI: Using Deep Learning to Enhance Susceptibility Contrast on T2*-Weighted MRI. February 3, 2023
Neurology | Oncology Combining radiomics and deep convolutional neural network features from preoperative MRI for predicting clinically relevant genetic biomarkers in glioblastoma. May 25, 2022
Neuroradiology | Radiology Clinical Assessment of Deep Learning-based Super-Resolution for 3D Volumetric Brain MRI. April 8, 2022
Neurology | Oncology | Radiology Improving the noninvasive classification of glioma genetic subtype with deep learning and diffusion-weighted imaging. October 15, 2021
Radiology Feasibility of Simulated Postcontrast MRI of Glioblastomas and Lower-Grade Gliomas by Using Three-dimensional Fully Convolutional Neural Networks. October 7, 2021
Neurology | Oncology | Radiology A fully automated artificial intelligence method for non-invasive, imaging-based identification of genetic alterations in glioblastomas. July 20, 2020
Oncology | Radiology A Deep Look Into the Future of Quantitative Imaging in Oncology: A Statement of Working Principles and Proposal for Change. May 29, 2019
Neurology | Radiology Toward Automatic Detection of Radiation-Induced Cerebral Microbleeds Using a 3D Deep Residual Network. March 16, 2019