Emergency Medicine | Neurology | Radiology An interpretable artificial intelligence model based on CT for prognosis of intracerebral hemorrhage: a multicenter study. July 9, 2024
Neurology | Radiology DeepSAP: A Novel Brain Image-Based Deep Learning Model for Predicting Stroke-Associated Pneumonia From Spontaneous Intracerebral Hemorrhage. July 2, 2024
Neurology | Radiology Deep learning survival model predicts outcome after intracerebral hemorrhage from initial CT scan. June 16, 2024
Emergency Medicine | Neurology | Radiology HE-Mind: A model for automatically predicting hematoma expansion after spontaneous intracerebral hemorrhage. June 4, 2024
Emergency Medicine | Neurology Predicting hematoma expansion using machine learning: An exploratory analysis of the ATACH 2 trial. May 15, 2024
Neurology | Radiology Application of deep learning and radiomics in the prediction of hematoma expansion in intracerebral hemorrhage: a fully automated hybrid approach. April 24, 2024
Neurology | Radiology PHE-SICH-CT-IDS: A benchmark CT image dataset for evaluation semantic segmentation, object detection and radiomic feature extraction of perihematomal edema in spontaneous intracerebral hemorrhage. March 24, 2024
Neurology | Radiology Research on predicting hematoma expansion in spontaneous intracerebral hemorrhage based on deep features of the VGG-19 network. March 20, 2024
Neurology | Radiology Predicting hematoma expansion in acute spontaneous intracerebral hemorrhage: integrating clinical factors with a multitask deep learning model for non-contrast head CT. February 10, 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
Neurology | Radiology CT-based deep learning model for predicting hospital discharge outcome in spontaneous intracerebral hemorrhage. December 21, 2023
Neurology | Radiology Prediction of early hematoma expansion of spontaneous intracerebral hemorrhage based on deep learning radiomics features of noncontrast computed tomography. November 8, 2023