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Daniel E. Shea
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2020 – today
- 2023
- [c2]Daniel E. Shea, Sourabh Kulhare, Rachel Millin, Zohreh Laverriere, Courosh Mehanian, Charles B. Delahunt, Dipayan Banik, Xinliang Zheng, Meihua Zhu, Ye Ji, Travis Ostbye, Martha-Marie S. Mehanian, Atinuke Uwajeh, Adeseye M. Akinsete, Fen Wang, Matthew P. Horning:
Deep Learning Video Classification of Lung Ultrasound Features Associated with Pneumonia. CVPR Workshops 2023: 3103-3112 - [c1]Menghan Yu
, Sourabh Kulhare
, Courosh Mehanian, Charles B. Delahunt, Daniel E. Shea, Zohreh Laverriere, Ishan Shah, Matthew P. Horning:
How Good Are Synthetic Medical Images? An Empirical Study with Lung Ultrasound. SASHIMI@MICCAI 2023: 75-85 - [i4]Menghan Yu, Sourabh Kulhare, Courosh Mehanian, Charles B. Delahunt, Daniel E. Shea, Zohreh Laverriere, Ishan Shah, Matthew P. Horning:
How Good Are Synthetic Medical Images? An Empirical Study with Lung Ultrasound. CoRR abs/2310.03608 (2023) - 2021
- [j1]Daniel E. Shea
, Rajiv Giridharagopal
, David S. Ginger, Steven L. Brunton
, J. Nathan Kutz
:
Extraction of Instantaneous Frequencies and Amplitudes in Nonstationary Time-Series Data. IEEE Access 9: 83453-83466 (2021) - [i3]Craig R. Gin, Daniel E. Shea, Steven L. Brunton, J. Nathan Kutz:
DeepGreen: Deep Learning of Green's Functions for Nonlinear Boundary Value Problems. CoRR abs/2101.07206 (2021) - [i2]Daniel E. Shea, Rajiv Giridharagopal, David S. Ginger, Steven L. Brunton, J. Nathan Kutz:
Extraction of instantaneous frequencies and amplitudes in nonstationary time-series data. CoRR abs/2104.01293 (2021) - 2020
- [i1]Daniel E. Shea, Steven L. Brunton, J. Nathan Kutz:
SINDy-BVP: Sparse Identification of Nonlinear Dynamics for Boundary Value Problems. CoRR abs/2005.10756 (2020)
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