Neurology | Radiology Artificial intelligence applied to MRI data to tackle key challenges in multiple sclerosis. May 13, 2024
Neurology | Radiology Strategies to combine 3D vasculature and brain CTA with deep neural networks: Application to LVO. February 6, 2024
Neurology | Radiology Global and Regional Deep Learning Models for Multiple Sclerosis Stratification From MRI. October 7, 2023
Neurology | Radiology QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results. March 31, 2023
Neurology | Radiology Deciphering multiple sclerosis disability with deep learning attention maps on clinical MRI. March 20, 2023
Neurology | Radiology Minimizing the effect of white matter lesions on deep learning based tissue segmentation for brain volumetry. December 19, 2022
Neurology | Radiology Improving the detection of new lesions in multiple sclerosis with a cascaded 3D fully convolutional neural network approach. December 12, 2022
Neurology | Radiology Evaluating the use of synthetic T1-w images in new T2 lesion detection in multiple sclerosis. October 17, 2022
Neurology | Radiology Transductive Transfer Learning for Domain Adaptation in Brain Magnetic Resonance Image Segmentation. May 18, 2021
Neurology | Radiology Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks. April 26, 2021
Neuroinformatics | Neurology Generating Longitudinal Atrophy Evaluation Datasets on Brain Magnetic Resonance Images Using Convolutional Neural Networks and Segmentation Priors. January 3, 2021
Neurology | Radiology Acute and sub-acute stroke lesion segmentation from multimodal MRI. May 20, 2020