Neurology | Radiology VesselBoost: A Python Toolbox for Small Blood Vessel Segmentation in Human Magnetic Resonance Angiography Data. June 3, 2024
Neurology | Radiology NeXtQSM-A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data. December 18, 2022
Oncology | Orthopedics | Radiology Deep learning-based quantitative susceptibility mapping (QSM) in the presence of fat using synthetically generated multi-echo phase training data. June 17, 2022
Neurology | Neurosurgery | Ophthalmology Predicting the retinotopic organization of human visual cortex from anatomy using geometric deep learning. October 4, 2021
Radiology Improving FLAIR SAR efficiency at 7T by adaptive tailoring of adiabatic pulse power through deep learning estimation. November 23, 2020
Neurology | Radiology Overview of quantitative susceptibility mapping using deep learning: Current status, challenges and opportunities. March 24, 2020
Radiology SHARQnet – Sophisticated harmonic artifact reduction in quantitative susceptibility mapping using a deep convolutional neural network. May 3, 2019
Neurology | Radiology DeepQSM – using deep learning to solve the dipole inversion for quantitative susceptibility mapping. April 30, 2019