Nipype KJ Gorgolewski, O Esteban, CJ Markiewicz, E Ziegler, DG Ellis, MP Notter, ... Software, 2018 | 118 | 2018 |
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 | 75 | 2013 |
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 | 68 | 2013 |
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 | 54 | 2017 |
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 | 42 | 2021 |
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 | 38 | 2020 |
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 | 33 | 2020 |
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 | 31 | 2020 |
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 | 22 | 2013 |
nipy/nipype: 1.1. 9 KJ Gorgolewski, O Esteban, CJ Markiewicz, E Ziegler, DG Ellis, D Jarecka, ... Computer software]. Zenodo, 2019 | 20 | 2019 |
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 | 18 | 2023 |
Nipype [Software] KJ Gorgolewski, O Esteban, CJ Markiewicz, E Ziegler, DG Ellis, MP Notter, ... Zenodo, 2018 | 17 | 2018 |
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 | 14 | 2021 |
Nipype. Software Zenodo KJ Gorgolewski, O Esteban, CJ Markiewicz, E Ziegler, DG Ellis, MP Notter, ... Preprint at, 2018 | 14 | 2018 |
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 | 13 | 2016 |
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, ... | 12 | 2017 |
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 | 11 | 2023 |
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 | 8 | 2023 |
Qualitative criteria for feasible cranial implant designs DG Ellis, CM Alvarez, MR Aizenberg Cranial implant design challenge, 8-18, 2021 | 8 | 2021 |
nipy/nipype: 1.8. 3, Zenodo KJ Gorgolewski, O Esteban, CJ Markiewicz, E Ziegler, DG Ellis, MP Notter, ... | 8 | 2018 |