Allison E. Hainline

Deep learning reveals untapped information for local white-matter fiber reconstruction in diffusion-weighted MRI

Vishwesh Nath, Kurt G. Schilling, Prasanna Parvathaneni et al. · Magnetic Resonance Imaging · 2019 · 49 citations · Full text

Engineering, Medical Imaging, Deep Learning +10

Dynamic contrast-enhanced magnetic resonance imaging and diffusion-weighted magnetic resonance imaging for predicting the response of locally advanced breast cancer to neoadjuvant therapy: a meta-analysis

John Virostko, Allison E. Hainline, Hakmook Kang et al. · Journal of Medical Imaging · 2017 · 29 citations · Full text

Breast Oncology, Oncologic Imaging, Neoadjuvant Therapy +18

Empirical reproducibility, sensitivity, and optimization of acquisition protocol, for Neurite Orientation Dispersion and Density Imaging using AMICO

Prasanna Parvathaneni, Vishwesh Nath, Justin A. Blaber et al. · Magnetic Resonance Imaging · 2018 · 23 citations

Engineering, Medical Imaging, Microscopy +13

Gray Matter Surface Based Spatial Statistics (GS-BSS) in Diffusion Microstructure

Prasanna Parvathaneni, Baxter P. Rogers, Yuankai Huo et al. · Lecture notes in computer science · 2017 · 20 citations · Full text

Engineering, Diffusion Resistance, Physics +9

A general approach for combining diverse rare variant association tests provides improved robustness across a wider range of genetic architectures

Brian Greco, Allison E. Hainline, Jaron Arbet et al. · European Journal of Human Genetics · 2015 · 14 citations · Full text

Genome-wide Association Study, Genetic Analysis, Allelic Variant +15