| SLEAP: A deep learning system for multi-animal pose tracking TD Pereira, N Tabris, A Matsliah, DM Turner, J Li, S Ravindranath, ... Nature methods 19 (4), 486-495, 2022 | 305 | 2022 |
| Optimized structure based representative volume element sets reflecting the ensemble-averaged 2-point statistics SR Niezgoda, DM Turner, DT Fullwood, SR Kalidindi Acta Materialia 58 (13), 4432-4445, 2010 | 128 | 2010 |
| 3-D microstructure analysis of fuel cell materials: spatial distributions of tortuosity, void size and diffusivity A Cecen, EA Wargo, AC Hanna, DM Turner, SR Kalidindi, EC Kumbur Journal of The Electrochemical Society 159 (3), B299, 2012 | 124 | 2012 |
| SLEAP: Multi-animal pose tracking TD Pereira, N Tabris, J Li, S Ravindranath, ES Papadoyannis, ZY Wang, ... BioRxiv, 2020.08. 31.276246, 2020 | 92 | 2020 |
| Statistical construction of 3-D microstructures from 2-D exemplars collected on oblique sections DM Turner, SR Kalidindi Acta Materialia 102, 136-148, 2016 | 60 | 2016 |
| Estimating the response of polycrystalline materials using sets of weighted statistical volume elements SM Qidwai, DM Turner, SR Niezgoda, AC Lewis, AB Geltmacher, ... Acta Materialia 60 (13-14), 5284-5299, 2012 | 59 | 2012 |
| Efficient computation of the angularly resolved chord length distributions and lineal path functions in large microstructure datasets DM Turner, SR Niezgoda, SR Kalidindi Modelling and Simulation in Materials Science and Engineering 24 (7), 075002, 2016 | 51 | 2016 |
| BrainIAK: the brain imaging analysis kit M Kumar, MJ Anderson, JW Antony, C Baldassano, PP Brooks, MB Cai, ... Aperture neuro 1 (4), 2021 | 41 | 2021 |
| Topological limits to the parallel processing capability of network architectures G Petri, S Musslick, B Dey, K Özcimder, D Turner, NK Ahmed, TL Willke, ... Nature Physics 17 (5), 646-651, 2021 | 23 | 2021 |
| A market-based bandwidth charging framework DM Turner, V Prevelakis, AD Keromytis ACM Transactions on Internet Technology (TOIT) 10 (1), 1-30, 2010 | 14 | 2010 |
| Publisher Correction: SLEAP: A deep learning system for multi-animal pose tracking TD Pereira, N Tabris, A Matsliah, DM Turner, J Li, S Ravindranath, ... Nature methods 19 (5), 628-628, 2022 | 11 | 2022 |
| The bandwidth exchange architecture DM Turner, V Prevelakis, AD Keromytis 10th IEEE Symposium on Computers and Communications (ISCC'05), 939-944, 2005 | 8 | 2005 |
| SLEAP: Multi-animal pose tracking. bioRxiv, 2020.08. 31.276246 TD Pereira, N Tabris, J Li, S Ravindranath, ES Papadoyannis, ZY Wang, ... | 5 | 2020 |
| Quantifying Ti-6 Al-4 V bimodal microstructure using microstructure informatics A Salem, D Turner, D Satko, J Shaffer, S Niezgoda, S Kalidindi AIP Conference Proceedings, 2012 | 4 | 2012 |
| Integrating model development across computational neuroscience, cognitive science, and machine learning P Gleeson, S Crook, D Turner, K Mantel, M Raunak, T Willke, JD Cohen Neuron 111 (10), 1526-1530, 2023 | 3 | 2023 |
| Microstructure analysis tools for quantification of key structural properties of fuel cell materials A Cecen, EA Wargo, AC Hanna, DM Turner, SR Kalidindi, EC Kumbur ECS transactions 41 (1), 679, 2011 | 3 | 2011 |
| An audio stream redirector for the Ethernet Speaker I Mandrekar, V Prevelakis, DM Turner Campus-Wide Information Systems 21 (5), 211-216, 2004 | 2 | 2004 |
| Go for parallel neural networks D Turner, E Schikuta Advances in Computational Intelligence: 15th International Work-Conference …, 2019 | 1 | 2019 |
| Spherical nanoindentation stress-strain analysis, Version 1 JS Weaver, D Turner, C Miller, T Fast, H Al-Harbi, S Vachhani, ... Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2016 | 1 | 2016 |
| Parallel processing a hydrodynamics shock wave problem using the independent time step method P ELTGROTH, R HIROMOTO, D TURNER New Computing Environments: Parallel, Vector and Systolic 22, 68, 1986 | 1 | 1986 |
