B. A. Landman

The paper compares low-cost photographic imaging methods with a 3-D camera for registering photographic images to CT scans, finding iPhone imaging has lower landmark error in some cases.

The paper describes a framework for processing advanced MR spectroscopy data, integrating with LCModel to improve spatial and spectral analysis of brain metabolites.

This paper discusses implementation considerations for deep learning with diffusion MRI streamline tractography and provides an open-source implementation with comparable performance to existing algorithms.

This paper develops a convolutional-recurrent neural network to approximate diffusion tractography from T1-weighted MRI, showing results comparable to traditional dMRI tractography.

This paper introduces SynBOLD-DisCo, a method to correct fMRI distortion using synthetic BOLD images generated from structural images, without needing additional calibration scans.

MASiVar evaluates DWI variability across multiple levels and processing approaches using a multisite, multisubject dataset.

The paper introduces PreQual, an automated pipeline that preprocesses and quality assures diffusion weighted MRI images using multiple tools and generates QA reports.

This study develops a deep learning method to correct diffusion MRI distortions without reverse phase-encoding scans or field maps, showing effective correction on diverse datasets.