Dawid Schellingerhout

According to our database, Dawid Schellingerhout authored at least 6 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025

2023

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

IEEE Trans. Medical Imaging, April, 2023

2022

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

2021

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

CoRR, 2021

2020

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

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2018

Glioma Segmentation and a Simple Accurate Model for Overall Survival Prediction.

Evan D. H. Gates, J. Gregory Pauloski, Dawid Schellingerhout, David Fuentes

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018