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Daniel C Elton

Showing results (1-10 of 21) with videos related to

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Physical Chemistry Chemical Physics : PCCP|July 12, 2017
The origin of the Debye relaxation in liquid water and fitting the high frequency excess responseDaniel C Elton
Nature Communications|January 5, 2016
The hydrogen-bond network of water supports propagating optical phonon-like modesDaniel C Elton, Marivi Fernández-Serra
Physical Chemistry Chemical Physics : PCCP|December 12, 2018
Using a monomer potential energy surface to perform approximate path integral molecular dynamics simulation of ab initio water at near-zero added costDaniel C Elton, Michelle Fritz, Marivi Fernández-Serra
Research Square|April 29, 2026
AI-driven credibility profiling of real-world patient experiences suggests overlooked kidney stone therapies warrant further investigationAlfredo Parra Hinojosa, Daniel C Elton, Andrés Gómez-Emilsson
Medical Physics|February 14, 2022
A deep learning system for automated kidney stone detection and volumetric segmentation on noncontrast CT scansDaniel C Elton, Evrim B Turkbey, Perry J Pickhardt, et al.
International Journal of Molecular Sciences|July 26, 2020
Exclusion Zone Phenomena in Water-A Critical Review of Experimental Findings and TheoriesDaniel C Elton, Peter D Spencer, James D Riches, et al.
Abdominal Radiology (New York)|October 31, 2023
Longitudinal follow-up of incidental renal calculi on computed tomographyPritam Mukherjee, Sungwon Lee, Daniel C Elton, et al.
Abdominal Radiology (New York)|September 19, 2020
Fully automated CT imaging biomarkers of bone, muscle, and fat: correcting for the effect of intravenous contrastAlberto A Perez, Perry J Pickhardt, Daniel C Elton, et al.
Scientific Reports|June 15, 2018
Applying machine learning techniques to predict the properties of energetic materialsDaniel C Elton, Zois Boukouvalas, Mark S Butrico, et al.
Radiology|April 5, 2022
Fully Automated Abdominal CT Biomarkers for Type 2 Diabetes Using Deep LearningHima Tallam, Daniel C Elton, Sungwon Lee, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Physical Chemistry Chemical Physics : PCCP|July 12, 2017
The origin of the Debye relaxation in liquid water and fitting the high frequency excess responseDaniel C Elton
Nature Communications|January 5, 2016
The hydrogen-bond network of water supports propagating optical phonon-like modesDaniel C Elton, Marivi Fernández-Serra
Physical Chemistry Chemical Physics : PCCP|December 12, 2018
Using a monomer potential energy surface to perform approximate path integral molecular dynamics simulation of ab initio water at near-zero added costDaniel C Elton, Michelle Fritz, Marivi Fernández-Serra
Research Square|April 29, 2026
AI-driven credibility profiling of real-world patient experiences suggests overlooked kidney stone therapies warrant further investigationAlfredo Parra Hinojosa, Daniel C Elton, Andrés Gómez-Emilsson
Medical Physics|February 14, 2022
A deep learning system for automated kidney stone detection and volumetric segmentation on noncontrast CT scansDaniel C Elton, Evrim B Turkbey, Perry J Pickhardt, et al.
International Journal of Molecular Sciences|July 26, 2020
Exclusion Zone Phenomena in Water-A Critical Review of Experimental Findings and TheoriesDaniel C Elton, Peter D Spencer, James D Riches, et al.
Abdominal Radiology (New York)|October 31, 2023
Longitudinal follow-up of incidental renal calculi on computed tomographyPritam Mukherjee, Sungwon Lee, Daniel C Elton, et al.
Abdominal Radiology (New York)|September 19, 2020
Fully automated CT imaging biomarkers of bone, muscle, and fat: correcting for the effect of intravenous contrastAlberto A Perez, Perry J Pickhardt, Daniel C Elton, et al.
Scientific Reports|June 15, 2018
Applying machine learning techniques to predict the properties of energetic materialsDaniel C Elton, Zois Boukouvalas, Mark S Butrico, et al.
Radiology|April 5, 2022
Fully Automated Abdominal CT Biomarkers for Type 2 Diabetes Using Deep LearningHima Tallam, Daniel C Elton, Sungwon Lee, et al.
Pageof 3