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David Gage Ellis
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Nipype
KJ Gorgolewski, O Esteban, CJ Markiewicz, E Ziegler, DG Ellis, MP Notter, ...
Software, 2018
1172018
More fatal all-terrain vehicle crashes occur on the roadway than off: increased risk-taking characterises roadway fatalities
GM Denning, KK Harland, DG Ellis, CA Jennissen
Injury prevention 19 (4), 250-256, 2013
752013
All-terrain vehicles (ATVs) on the road: a serious traffic safety and public health concern
G Denning, C Jennissen, K Harland, D Ellis, C Buresh
Traffic injury prevention 14 (1), 78-85, 2013
682013
Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in Python. 0.13. 1
KJ Gorgolewski, O Esteban, DG Ellis, MP Notter, E Ziegler, H Johnson, ...
Zenodo, 2017
542017
AutoImplant 2020-first MICCAI challenge on automatic cranial implant design
J Li, P Pimentel, A Szengel, M Ehlke, H Lamecker, S Zachow, L Estacio, ...
IEEE transactions on medical imaging 40 (9), 2329-2342, 2021
412021
nipy/nipype: 1.5. 1
O Esteban, CJ Markiewicz, C Burns, M Goncalves, D Jarecka, E Ziegler, ...
Computer software]. Zenodo. https://doi. org/10.5281/zenodo 4035081, 2020
382020
Deep learning using augmentation via registration: 1st place solution to the AutoImplant 2020 challenge
DG Ellis, MR Aizenberg
Towards the Automatization of Cranial Implant Design in Cranioplasty: First …, 2020
332020
Accuracy analysis of fMRI and MEG activations determined by intraoperative mapping
DG Ellis, ML White, S Hayasaka, DE Warren, TW Wilson, MR Aizenberg
Neurosurgical focus 48 (2), E13, 2020
302020
Off-highway vehicle parks: Combining environment, knowledge, and enforcement for all-terrain vehicle injury prevention
GM Denning, CA Jennissen, KK Harland, DG Ellis, CT Buresh
Accident Analysis & Prevention 52, 64-70, 2013
222013
nipy/nipype: 1.1. 9
KJ Gorgolewski, O Esteban, CJ Markiewicz, E Ziegler, DG Ellis, D Jarecka, ...
Computer software]. Zenodo, 2019
202019
Why is the winner the best?
M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, S Ali, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
172023
Nipype [Software]
KJ Gorgolewski, O Esteban, CJ Markiewicz, E Ziegler, DG Ellis, MP Notter, ...
Zenodo, 2018
162018
Trialing U-Net Training Modifications for Segmenting Gliomas Using Open Source Deep Learning Framework
DG Ellis, MR Aizenberg
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021
142021
Nipype. Software Zenodo
KJ Gorgolewski, O Esteban, CJ Markiewicz, E Ziegler, DG Ellis, MP Notter, ...
Preprint at, 2018
132018
Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in Python. 0.12. 0-rc1
KJ Gorgolewski, O Esteban, C Burns, E Ziegler, B Pinsard, C Madison, ...
Zenodo, 2016
132016
Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in Python. 0.13. 1. Zenodo
KJ Gorgolewski, O Esteban, DG Ellis, MP Notter, E Ziegler, H Johnson, ...
122017
Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the autoimplant 2021 cranial implant design challenge
J Li, DG Ellis, O Kodym, L Rauschenbach, C Rieß, U Sure, KH Wrede, ...
Medical Image Analysis, 102865, 2023
102023
MedShapeNet--A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
J Li, A Pepe, C Gsaxner, G Luijten, Y Jin, N Ambigapathy, E Nasca, ...
arXiv preprint arXiv:2308.16139, 2023
72023
Qualitative criteria for feasible cranial implant designs
DG Ellis, CM Alvarez, MR Aizenberg
Cranial implant design challenge, 8-18, 2021
72021
nipy/nipype: 1.8. 3, Zenodo
KJ Gorgolewski, O Esteban, CJ Markiewicz, E Ziegler, DG Ellis, MP Notter, ...
72018
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Articles 1–20