Maria Alejandra Duran Mendicuti

According to our database, Maria Alejandra Duran Mendicuti authored at least 4 papers between 2023 and 2024.

Collaborative distances:

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

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

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