Stebėti
Dan Elton
Dan Elton
Kiti vardaiDaniel C. Elton
National Human Genome Research Institute, NIH
Patvirtintas el. paštas nih.gov - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
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
6682019
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
2512018
The hydrogen-bond network of water supports propagating optical phonon-like modes
DC Elton, M Fernández-Serra
Nature communications 7 (1), 10193, 2016
1032016
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
942021
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
892017
Self-explaining AI as an alternative to interpretable AI
DC Elton
Artificial General Intelligence: 13th International Conference, AGI 2020, St …, 2020
882020
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
782022
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
562014
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
482021
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
482021
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
442020
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
442009
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
342021
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
342020
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
332022
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
332019
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
302022
Stretched exponential relaxation
DC Elton
arXiv preprint arXiv:1808.00881, 2018
302018
Machine learning of energetic material properties
BC Barnes, DC Elton, Z Boukouvalas, DCE Taylor, WD Mattson, MD Fuge, ...
arXiv preprint arXiv:1807.06156, 2018
292018
Global-local attention network with multi-task uncertainty loss for abnormal lymph node detection in MR images
S Wang, Y Zhu, S Lee, DC Elton, TC Shen, Y Tang, Y Peng, Z Lu, ...
Medical image analysis 77, 102345, 2022
262022
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