Nicole M. Duggan

According to our database, Nicole M. Duggan authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

Head Motion Analysis is an Objective Measure of Point-of-Care Ultrasound Image Acquisition Competency.

Carrie Walsh, Nicole M. Duggan, Roger D. Dias, Andrew J. Goldsmith, Mahdi Ebnali, Madeline Schwid, Chanel E. Fischetti, Lachlan Driver, Joseph Stegeman, Denie Bernier, Lauren A. Selame, Phillip Plevek

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

Expert-quality Dataset Labeling via Gamified Crowdsourcing on Point-of-Care Lung Ultrasound Data.

Nicole M. Duggan, Mike Jin, Erik P. Duhaime, Tina Kapur, Maria Alejandra Duran Mendicuti, Stephen Hallisey, Denie Bernier, Lauren A. Selame, Ameneh Asgari-Targhi, Chanel E. Fischetti, Ruben T. Lucassen, Anthony E. Samir

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

Machine Learning Models for Point-of-care Ultrasound Education and Training: National Cost Savings and Expert Time Reduction.

Lachlan Driver, Nicole M. Duggan, Chares Brower, Mahdi Ebnali, Da'Marcus Baymon, Alexei Wagner, Roger D. Dias, Anthony E. Samir, Tina Kapur, Andrew J. Goldsmith, Christopher W. Baugh

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023

Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound.

Ruben T. Lucassen, Mohammad H. Jafari, Nicole M. Duggan, Nick Jowkar, Alireza Mehrtash, Chanel E. Fischetti, Denie Bernier, Kira Prentice, Erik P. Duhaime, Mike Jin, Purang Abolmaesumi, Friso G. Heslinga, Mitko Veta, Maria Alejandra Duran Mendicuti, Sarah F. Frisken, Paul B. Shyn, Alexandra J. Golby, Edward W. Boyer, William M. Wells III, Andrew J. Goldsmith, Tina Kapur

IEEE J. Biomed. Health Informatics, September, 2023

Expert-Level Annotation Quality Achieved by Gamified Crowdsourcing for B-line Segmentation in Lung Ultrasound.

Mike Jin, Nicole M. Duggan, Varoon Bashyakarla, Maria Alejandra Duran Mendicuti, Stephen Hallisey, Denie Bernier, Joseph Stegeman, Erik P. Duhaime, Tina Kapur, Andrew J. Goldsmith

CoRR, 2023

Gamified Crowdsourcing as a Novel Approach to Lung Ultrasound Dataset Labeling.

Nicole M. Duggan, Mike Jin, Maria Alejandra Duran Mendicuti, Stephen Hallisey, Denie Bernier, Lauren A. Selame, Ameneh Asgari-Targhi, Chanel E. Fischetti, Ruben T. Lucassen, Anthony E. Samir, Erik P. Duhaime, Tina Kapur, Andrew J. Goldsmith

CoRR, 2023

2022

Optimizing Real-Time Wellness Intervention Studies in Healthcare Shift Workers: Outcomes from a Prospective, Single-subject Design Study of a Digital Sleep Aid.

Nicole M. Duggan, Mohammad Adrian Hasdianda, Guruprasad D. Jambaulikar, Andrew J. Goldsmith, Anna Condella, Adaira Landry, Edward W. Boyer, Andrew Eyre

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022