Daniel George

According to our database, Daniel George authored at least 18 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

TRUSTED: The Paired 3D Transabdominal Ultrasound and CT Human Data for Kidney Segmentation and Registration Research.

William Ndzimbong, Cyril Fourniol, Loic Themyr, Nicolas Thome, Yvonne Keeza, Benoît Sauer, Pierre-Thierry Piechaud, Arnaud Mejean, Jacques Marescaux, Daniel George, Didier Mutter, Alexandre Hostettler, Toby Collins

CoRR, 2023

2020

Developing a Leader-Follower Kinematic-Based Control System for a Cable-Driven Hyper-redundant Serial Manipulator.

Abolfazl Zaraki, Yoshikatsu Hayashi, Daniel George, Harry Thorpe, Vincent Strong, Gisle-Andre Larsen, Benjamin Jackson, William Holderbaum

Proceedings of the 2nd IMA Conference on Mathematics of Robotics, 2020

2019

Enabling real-time multi-messenger astrophysics discoveries with deep learning.

E. A. Huerta, Gabrielle Allen, Igor Andreoni, Javier Mauricio Antelis, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Maya Fishbach, Francisco Förster, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Robert A. Gruendl, Anushri Gupta, Roland Haas, Sarah Habib, Elise Jennings, Margaret W. G. Johnson, Erik Katsavounidis, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Zsuzsa Márka, Kenton McHenry, Jonah Miller, Claudia Moreno, Mark S. Neubauer, Steve Oberlin, Alexander R. Olivas, Donald Petravick, Adam Rebei, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Leo Singer, Brigitta M. Sipocz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao

CoRR, 2019

Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era.

Gabrielle Allen, Igor Andreoni, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Anushri Gupta, Roland Haas, E. A. Huerta, Elise Jennings, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Kenton McHenry, J. M. Miller, Mark S. Neubauer, Steve Oberlin, Alexander Reinefeld, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Brigitta Miksztai-Réthey, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao

CoRR, 2019

A model order reduction approach to create patient-specific mechanical models of human liver in computational medicine applications.

Nathan Lauzeral, Domenico Borzacchiello, Michael Kugler, Daniel George, Yves Rémond, Alexandre Hostettler, Francisco Chinesta

Comput. Methods Programs Biomed., 2019

Shape parametrization of bio-mechanical finite element models based on medical images.

Nathan Lauzeral, Domenico Borzacchiello, Michael Kugler, Daniel George, Yves Rémond, Alexandre Hostettler, Francisco Chinesta

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019

Denoising Gravitational Waves with Enhanced Deep Recurrent Denoising Auto-encoders.

Hongyu Shen, Daniel George, Eliu A. Huerta, Zhizhen Zhao

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

A new algorithm for volume mesh refinement on merging geometries: Application to liver and vascularisation.

Michael Kugler, Alexandre Hostettler, Luc Soler, Yves Rémond, Daniel George

J. Comput. Appl. Math., 2018

Real-time regression analysis with deep convolutional neural networks.

E. A. Huerta, Daniel George, Zhizhen Zhao, Gabrielle Allen

CoRR, 2018

2017

Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders.

Hongyu Shen, Daniel George, E. A. Huerta, Zhizhen Zhao

CoRR, 2017

Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation with Advanced LIGO Data.

Daniel George, E. A. Huerta

CoRR, 2017

Glitch Classification and Clustering for LIGO with Deep Transfer Learning.

Daniel George, Hongyu Shen, E. A. Huerta

CoRR, 2017

ENIGMA: Eccentric, Non-spinning, Inspiral Gaussian-process Merger Approximant for the characterization of eccentric binary black hole mergers.

E. A. Huerta, C. J. Moore, Prayush Kumar, Daniel George, Alvin J. K. Chua, Roland Haas, Erik Wessel, Daniel Johnson, Derek Glennon, Adam Rebei, A. Miguel Holgado, Jonathan R. Gair, Harald P. Pfeiffer

CoRR, 2017

Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation: Results with Advanced LIGO Data.

Daniel George, E. A. Huerta

CoRR, 2017

Deep Transfer Learning: A new deep learning glitch classification method for advanced LIGO.

Daniel George, Hongyu Shen, E. A. Huerta

CoRR, 2017

Deep Neural Networks to Enable Real-time Multimessenger Astrophysics.

Daniel George, E. A. Huerta

CoRR, 2017

2015

A method of powering a nebulizer manually using parts locally available in Honduras.

Roger Dzwonczyk, Matthew Brockman, Daniel George, Nathan Hankins, Marissa McHugh, Mariantonieta Gutierrez Soto

Proceedings of the 2015 IEEE Global Humanitarian Technology Conference, 2015

2010

Bulk modulus and volume variation measurement of the liver and the kidneys in vivo using abdominal kinetics during free breathing.

Alexandre Hostettler, Daniel George, Yves Rémond, Stéphane Nicolau, Luc Soler, Jacques Marescaux

Comput. Methods Programs Biomed., 2010