Daniel E. Shea

According to our database, Daniel E. Shea authored at least 6 papers between 2020 and 2026.

Collaborative distances:

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

2026

Beyond validation loss: Clinically-tailored optimization metrics improve a model's clinical performance.

Charles B. Delahunt, Courosh Mehanian, Daniel E. Shea, Matthew P. Horning

CoRR, January, 2026

2023

How Good Are Synthetic Medical Images? An Empirical Study with Lung Ultrasound.

Menghan Yu, Sourabh Kulhare, Courosh Mehanian, Charles B. Delahunt, Daniel E. Shea, Zohreh Laverriere, Ishan Shah, Matthew P. Horning

Proceedings of the Simulation and Synthesis in Medical Imaging, 2023

Deep Learning Video Classification of Lung Ultrasound Features Associated with Pneumonia.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

DeepGreen: Deep Learning of Green's Functions for Nonlinear Boundary Value Problems.

Craig R. Gin, Daniel E. Shea, Steven L. Brunton, J. Nathan Kutz

CoRR, 2021

Extraction of Instantaneous Frequencies and Amplitudes in Nonstationary Time-Series Data.

Daniel E. Shea, Rajiv Giridharagopal, David S. Ginger, Steven L. Brunton, J. Nathan Kutz

IEEE Access, 2021

2020

SINDy-BVP: Sparse Identification of Nonlinear Dynamics for Boundary Value Problems.

Daniel E. Shea, Steven L. Brunton, J. Nathan Kutz

CoRR, 2020