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Daniel George
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2020 – today
- 2023
- [i12]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:
TRUSTED: The Paired 3D Transabdominal Ultrasound and CT Human Data for Kidney Segmentation and Registration Research. CoRR abs/2310.12646 (2023) - 2020
- [c3]Abolfazl Zaraki, Yoshikatsu Hayashi, Daniel George, Harry Thorpe, Vincent Strong, Gisle-Andre Larsen, Benjamin Jackson, William Holderbaum:
Developing a Leader-Follower Kinematic-Based Control System for a Cable-Driven Hyper-redundant Serial Manipulator. IMAMR 2020: 1-12
2010 – 2019
- 2019
- [j4]Nathan Lauzeral, Domenico Borzacchiello, Michael Kugler, Daniel George, Yves Rémond, Alexandre Hostettler, Francisco Chinesta:
Shape parametrization of bio-mechanical finite element models based on medical images. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 7(5-6): 480-489 (2019) - [j3]Nathan Lauzeral, Domenico Borzacchiello, Michael Kugler, Daniel George, Yves Rémond, Alexandre Hostettler, Francisco Chinesta:
A model order reduction approach to create patient-specific mechanical models of human liver in computational medicine applications. Comput. Methods Programs Biomed. 170: 95-106 (2019) - [c2]Hongyu Shen, Daniel George, Eliu A. Huerta, Zhizhen Zhao:
Denoising Gravitational Waves with Enhanced Deep Recurrent Denoising Auto-encoders. ICASSP 2019: 3237-3241 - [i11]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, Eliu 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:
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era. CoRR abs/1902.00522 (2019) - [i10]Hongyu Shen, Daniel George, Eliu A. Huerta, Zhizhen Zhao:
Denoising Gravitational Waves with Enhanced Deep Recurrent Denoising Auto-Encoders. CoRR abs/1903.03105 (2019) - [i9]Eliu 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:
Enabling real-time multi-messenger astrophysics discoveries with deep learning. CoRR abs/1911.11779 (2019) - 2018
- [j2]Michael Kugler, Alexandre Hostettler, Luc Soler, Yves Rémond, Daniel George:
A new algorithm for volume mesh refinement on merging geometries: Application to liver and vascularisation. J. Comput. Appl. Math. 330: 429-440 (2018) - [i8]Eliu A. Huerta, Daniel George, Zhizhen Zhao, Gabrielle Allen:
Real-time regression analysis with deep convolutional neural networks. CoRR abs/1805.02716 (2018) - 2017
- [i7]Daniel George, Eliu A. Huerta:
Deep Neural Networks to Enable Real-time Multimessenger Astrophysics. CoRR abs/1701.00008 (2017) - [i6]Daniel George, Hongyu Shen, Eliu A. Huerta:
Deep Transfer Learning: A new deep learning glitch classification method for advanced LIGO. CoRR abs/1706.07446 (2017) - [i5]Daniel George, Eliu A. Huerta:
Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation: Results with Advanced LIGO Data. CoRR abs/1711.03121 (2017) - [i4]Eliu 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:
ENIGMA: Eccentric, Non-spinning, Inspiral Gaussian-process Merger Approximant for the characterization of eccentric binary black hole mergers. CoRR abs/1711.06276 (2017) - [i3]Daniel George, Hongyu Shen, Eliu A. Huerta:
Glitch Classification and Clustering for LIGO with Deep Transfer Learning. CoRR abs/1711.07468 (2017) - [i2]Daniel George, Eliu A. Huerta:
Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation with Advanced LIGO Data. CoRR abs/1711.07966 (2017) - [i1]Hongyu Shen, Daniel George, Eliu A. Huerta, Zhizhen Zhao:
Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders. CoRR abs/1711.09919 (2017) - 2015
- [c1]Roger Dzwonczyk, Matthew Brockman, Daniel George, Nathan Hankins, Marissa McHugh, Mariantonieta Gutierrez Soto:
A method of powering a nebulizer manually using parts locally available in Honduras. GHTC 2015: 40-44 - 2010
- [j1]Alexandre Hostettler, Daniel George, Yves Rémond, Stéphane Nicolau, Luc Soler, Jacques Marescaux:
Bulk modulus and volume variation measurement of the liver and the kidneys in vivo using abdominal kinetics during free breathing. Comput. Methods Programs Biomed. 100(2): 149-157 (2010)
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