| Nipype KJ Gorgolewski, O Esteban, CJ Markiewicz, E Ziegler, DG Ellis, MP Notter, ... Software, 2018 | 323* | 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 | 76 | 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 | 71 | 2013 |
| 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 | 44 | 2021 |
| 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 | 36 | 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 | 30 | 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 |
| 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 | 21 | 2021 |
| 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 | 19 | 2023 |
| MedShapeNet--A large-scale dataset of 3D medical shapes for computer vision J Li, Z Zhou, J Yang, A Pepe, C Gsaxner, G Luijten, C Qu, T Zhang, ... arXiv preprint arXiv:2308.16139, 2023 | 16 | 2023 |
| 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 88, 102865, 2023 | 15 | 2023 |
| Back to the roots: Reconstructing large and complex cranial defects using an image-based statistical shape model J Li, DG Ellis, A Pepe, C Gsaxner, MR Aizenberg, J Kleesiek, J Egger Journal of Medical Systems 48 (1), 55, 2024 | 10 | 2024 |
| Qualitative criteria for feasible cranial implant designs DG Ellis, CM Alvarez, MR Aizenberg Cranial implant design challenge, 8-18, 2021 | 9 | 2021 |
| Structural brain imaging predicts individual-level task activation maps using deep learning DG Ellis, MR Aizenberg Frontiers in Neuroimaging 1, 834883, 2022 | 3 | 2022 |
| Wrapping FreeSurfer 6 for use in high-performance computing environments DG Ellis, REY Kim, I Oguz, HJ Johnson Gigascience 5 (suppl_1), s13742-016-0147-0-o, 2016 | 2 | 2016 |
| Machine learning improves automated cortical surface reconstruction in human MRI studies DG Ellis The University of Iowa, 2017 | 1 | 2017 |
| 368 Off-Highway Vehicle Parks: Do Increased Regulations and Enforcement Improve All-Terrain Vehicle Safety? G Denning, C Jennissen, K Harland, D Ellis, C Buresh Annals of Emergency Medicine 60 (4), S131, 2012 | | 2012 |
