Neurology | Radiology Segmentation of Spontaneous Intracerebral Hemorrhage on CT With a Region Growing Method Based on Watershed Preprocessing. April 15, 2022
Neuroradiology | Radiology [Performance of low-dose CT image reconstruction for detecting intracerebral hemorrhage: selection of dose, algorithms and their combinations]. April 2, 2022
Neurology | Radiology External validation study on the value of deep learning algorithm for the prediction of hematoma expansion from noncontrast CT scans. March 15, 2022
Neurology | Radiology A Robust Deep Learning Segmentation Method for Hematoma Volumetric Detection in Intracerebral Hemorrhage. October 4, 2021
Neurology | Radiology WSO EXPRESS: Weakly Supervised Multitask Learning Models to Identify Symptom Onset Time of Intracerebral Hemorrhage with Unclear Onset. September 27, 2021
Neurology | Radiology Efficiency of a deep learning-based artificial intelligence diagnostic system in spontaneous intracerebral hemorrhage volume measurement. August 14, 2021
Neurology | Neurosurgery Postsurgical functional outcome prediction model using deep learning framework (Prediction One, Sony Network Communications Inc.) for hypertensive intracerebral hemorrhage. June 4, 2021
Neurology | Radiology Deep learning shows good reliability for automatic segmentation and volume measurement of brain hemorrhage, intraventricular extension, and peripheral edema. January 7, 2021
Neurology | Radiology Deep Learning for Automated Measurement of Hemorrhage and Perihematomal Edema in Supratentorial Intracerebral Hemorrhage. December 6, 2019
Emergency Medicine | Neurology | Radiology Fully Automated Segmentation Algorithm for Hematoma Volumetric Analysis in Spontaneous Intracerebral Hemorrhage. November 18, 2019