Radiology Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging. June 28, 2024
Neurology | Radiology Prediction of tissue outcome in acute ischemic stroke based on single-phase CT angiography at admission. April 3, 2024
Neurology | Radiology Annotation-free prediction of treatment-specific tissue outcome from 4D CT perfusion imaging in acute ischemic stroke. March 27, 2024
Neurology | Psychiatry | Radiology Multimodal imaging measures in the prediction of clinical response to deep brain stimulation for refractory depression: A machine learning approach. January 8, 2024
Neurology | Radiology Providing clinical context to the spatio-temporal analysis of 4D CT perfusion to predict acute ischemic stroke lesion outcomes. December 14, 2023
Orthopedics | Radiology Self-supervised-RCNN for medical image segmentation with limited data annotation. September 20, 2023
Medical Imaging | Neurology Image-encoded biological and non-biological variables may be used as shortcuts in deep learning models trained on multisite neuroimaging data. September 5, 2023
Neurology | Radiology Lesion-preserving unpaired image-to-image translation between MRI and CT from ischemic stroke patients. January 6, 2023
Emergency Medicine | Neurology | Radiology Predicting the tissue outcome of acute ischemic stroke from acute 4D computed tomography perfusion imaging using temporal features and deep learning. November 21, 2022
Emergency Medicine | Neurology | Radiology Predicting treatment-specific lesion outcomes in acute ischemic stroke from 4D CT perfusion imaging using spatio-temporal convolutional neural networks. October 24, 2022
Computer Science | Neurology Dementia in Convolutional Neural Networks: Using Deep Learning Models to Simulate Neurodegeneration of the Visual System. September 9, 2022
Neurology | Pediatrics | Radiology Fairness-related performance and explainability effects in deep learning models for brain image analysis. September 1, 2022