Neurology | Radiology Deep learning for prediction of post-thrombectomy outcomes based on admission CT angiography in large vessel occlusion stroke. August 16, 2024
Emergency Medicine | Neurology | Radiology Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan. February 6, 2024
Radiology Automated MRI liver segmentation for anatomical segmentation, liver volumetry, and the extraction of radiomics. January 13, 2024
Hepatology | Oncology | Radiology Predicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning. May 10, 2023
Neuroradiology | Radiology Clinical implementation of artificial intelligence in neuroradiology with development of a novel workflow-efficient picture archiving and communication system-based automated brain tumor segmentation and radiomic feature extraction. November 2, 2022
Neurology | Oncology | Radiology Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities. June 10, 2022
Neurology | Oncology | Radiology Machine Learning Models for Classifying High- and Low-Grade Gliomas: A Systematic Review and Quality of Reporting Analysis. May 9, 2022
Interventional Radiology | Oncology | Radiology Quantitative Automated Segmentation of Lipiodol Deposits on Cone Beam CT Imaging acquired during Transarterial Chemoembolization for Liver Tumors: A Deep Learning Approach. December 19, 2021