Glioma Segmentation and a Simple Accurate Model for Overall Survival Prediction. - Evan D. H. Gates; J. Gregory Pauloski; Dawid Schellingerhout; David Fuentes 001 (BrainLes@MICCAI (2), 2018)

Advanced magnetic resonance imaging based algorithm for local grading of glioma. - Evan D. H. Gates; Jonathan S. Lin; Jeffrey S. Weinberg; Sujit S. Prabhu; Jackson Hamilton; John D. Hazle; Gregory N. Fuller; Veerabhadran Baladandayuthapani; David T. Fuentes; Dawid Schellingerhout (Computer-Aided Diagnosis, 2020)

PocketNet: A Smaller Neural Network for 3D Medical Image Segmentation. - Adrian Celaya; Jonas A. Actor; Rajarajeswari Muthusivarajan; Evan D. H. Gates; Caroline Chung; Dawid Schellingerhout; Beatrice Riviere; David Fuentes 001 (CoRR, 2021)

Mutual-Information Based Optimal Experimental Design for Hyperpolarized 13C-Pyruvate MRI. - Prashant K. Jha; Christopher Walker; Drew Mitchell; J. Tinsley Oden; Dawid Schellingerhout; James A. Bankson; David T. Fuentes (CoRR, 2022)

PocketNet: A Smaller Neural Network for Medical Image Analysis. - Adrian Celaya; Jonas A. Actor; Rajarajeswari Muthusivarajan; Evan D. H. Gates; Caroline Chung; Dawid Schellingerhout; Beatrice Riviere; David Fuentes 001 (IEEE Trans. Medical Imaging, 2023)

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit. - Adrian Celaya; Tucker J. Netherton; Dawid Schellingerhout; Caroline Chung; Beatrice Riviere; David Fuentes 001 (CoRR, 2025)