58 citations · 62 across the 4 of their papers we have counts for
4 papers
Synthesizing longitudinal cortical thickness estimates with a flexible and hierarchical multivariate measurement-error model
Jesse W. Birchfield, Nicholas J. Tustison, Andrew J. Holbrook
MRI-based entorhinal cortical thickness (eCT) measurements predict cognitive decline in Alzheimer's disease (AD) with low cost and minimal invasiveness. Two prominent imaging parad…
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results
Raghav Mehta, Angelos Filos, Ujjwal Baid +89
Deep learning (DL) models have provided state-of-the-art performance in various medical imaging benchmarking challenges, including the Brain Tumor Segmentation (BraTS) challenges.…
Interpretable, similarity-driven multi-view embeddings from high-dimensional biomedical data
Brian B. Avants, Nicholas J. Tustison, James R. Stone
Similarity-driven multi-view linear reconstruction (SiMLR) is an algorithm that exploits inter-modality relationships to transform large scientific datasets into smaller, more well…
Brain Tumor Segmentation using an Ensemble of 3D U-Nets and Overall Survival Prediction using Radiomic Features
Xue Feng, Nicholas Tustison, Craig Meyer
Accurate segmentation of different sub-regions of gliomas including peritumoral edema, necrotic core, enhancing and non-enhancing tumor core from multimodal MRI scans has important…