Neurology | Radiology Improving multiple sclerosis lesion segmentation across clinical sites: A federated learning approach with noise-resilient training. May 3, 2024
Epileptology | Neurology Deep learning distinguishes connectomes from focal epilepsy patients and controls: feasibility and clinical implications. November 29, 2023
Neurology | Radiology High angular diffusion tensor imaging estimation from minimal evenly distributed diffusion gradient directions. September 28, 2023
Neurology | Radiology Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies. August 12, 2023
Neurology | Radiology Learning from pseudo-labels: deep networks improve consistency in longitudinal brain volume estimation. July 24, 2023
Medical Imaging | Neurology Multiple sclerosis lesion segmentation: revisiting weighting mechanisms for federated learning. June 5, 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
Ecology | Environmental Science | Remote Sensing Analysis of UAV-Acquired Wetland Orthomosaics Using GIS, Computer Vision, Computational Topology and Deep Learning. January 14, 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 A fully convolutional neural network for new T2-w lesion detection in multiple sclerosis. January 9, 2020
Neurology | Radiology Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features. February 20, 2019
Neurology | Radiology Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure. November 14, 2018