| Deep learning for molecular design—a review of the state of the art DC Elton, Z Boukouvalas, MD Fuge, PW Chung Molecular Systems Design & Engineering 4 (4), 828-849, 2019 | 649 | 2019 |
| Applying machine learning techniques to predict the properties of energetic materials DC Elton, Z Boukouvalas, MS Butrico, MD Fuge, PW Chung Scientific reports 8 (1), 9059, 2018 | 241 | 2018 |
| The hydrogen-bond network of water supports propagating optical phonon-like modes DC Elton, M Fernández-Serra Nature communications 7 (1), 10193, 2016 | 103 | 2016 |
| The origin of the Debye relaxation in liquid water and fitting the high frequency excess response DC Elton Physical Chemistry Chemical Physics 19 (28), 18739-18749, 2017 | 87 | 2017 |
| Opportunistic screening at abdominal CT: use of automated body composition biomarkers for added cardiometabolic value PJ Pickhardt, PM Graffy, AA Perez, MG Lubner, DC Elton, RM Summers Radiographics 41 (2), 524-542, 2021 | 81 | 2021 |
| Self-explaining AI as an alternative to interpretable AI DC Elton Artificial General Intelligence: 13th International Conference, AGI 2020, St …, 2020 | 80 | 2020 |
| A deep learning system for automated kidney stone detection and volumetric segmentation on non-contrast CT scans DC Elton, EB Turkbey, PJ Pickhardt, RM Summers Medical physics, 2022 | 73 | 2022 |
| Polar nanoregions in water: A study of the dielectric properties of TIP4P/2005, TIP4P/2005f and TTM3F DC Elton, MV Fernández-Serra The Journal of chemical physics 140 (12), 2014 | 56 | 2014 |
| Liver steatosis categorization on contrast-enhanced CT using a fully automated deep learning volumetric segmentation tool: evaluation in 1204 healthy adults using unenhanced CT … PJ Pickhardt, GM Blake, PM Graffy, V Sandfort, DC Elton, AA Perez, ... American Journal of Roentgenology 217 (2), 359-367, 2021 | 44 | 2021 |
| Fully automated CT imaging biomarkers of bone, muscle, and fat: correcting for the effect of intravenous contrast AA Perez, PJ Pickhardt, DC Elton, V Sandfort, RM Summers Abdominal Radiology 46, 1229-1235, 2021 | 42 | 2021 |
| Accurate estimation of third-order moments from turbulence measurements JJ Podesta, MA Forman, CW Smith, DC Elton, Y Malecot, Y Gagne Nonlinear Processes in Geophysics 16 (1), 99-110, 2009 | 42 | 2009 |
| Exclusion zone phenomena in water—A critical review of experimental findings and theories DC Elton, PD Spencer, JD Riches, ED Williams International Journal of Molecular Sciences 21 (14), 5041, 2020 | 38 | 2020 |
| Cross-domain medical image translation by shared latent Gaussian mixture model Y Zhu, Y Tang, Y Tang, DC Elton, S Lee, PJ Pickhardt, RM Summers Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 35 | 2020 |
| Deep learning CT-based quantitative visualization tool for liver volume estimation: defining normal and hepatomegaly AA Perez, V Noe-Kim, MG Lubner, PM Graffy, JW Garrett, DC Elton, ... Radiology 302 (2), 336-342, 2022 | 31 | 2022 |
| Atherosclerotic plaque burden on abdominal CT: automated assessment with deep learning on noncontrast and contrast-enhanced scans RM Summers, DC Elton, S Lee, Y Zhu, J Liu, M Bagheri, V Sandfort, ... Academic radiology 28 (11), 1491-1499, 2021 | 31 | 2021 |
| Stretched exponential relaxation DC Elton arXiv preprint arXiv:1808.00881, 2018 | 30 | 2018 |
| Fully automated abdominal CT biomarkers for type 2 diabetes using deep learning H Tallam, DC Elton, S Lee, P Wakim, PJ Pickhardt, RM Summers Radiology 304 (1), 85-95, 2022 | 28 | 2022 |
| Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora DC Elton, D Turakhia, N Reddy, Z Boukouvalas, MD Fuge, RM Doherty, ... arXiv preprint arXiv:1903.00415, 2019 | 28 | 2019 |
| Machine learning of energetic material properties BC Barnes, DC Elton, Z Boukouvalas, DCE Taylor, WD Mattson, MD Fuge, ... arXiv preprint arXiv:1807.06156, 2018 | 27 | 2018 |
| Understanding the dielectric properties of water DC Elton State University of New York at Stony Brook, 2016 | 25 | 2016 |
Ronald M. Summers, MD, PhDNational Institutes of Health Clinical CenterVerified email at nih.gov
