Ana Cecilia Rodriguez

According to our database, Ana Cecilia Rodriguez authored at least 4 papers between 2021 and 2022.

Collaborative distances:

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

2022

Improving the repeatability of deep learning models with Monte Carlo dropout.

Andréanne Lemay, Katharina Hoebel, Christopher P. Bridge, Brian Befano, Silvia De Sanjosé, Didem Egemen, Ana Cecilia Rodriguez, Mark Schiffman, John Peter Campbell, Jayashree Kalpathy-Cramer

npj Digit. Medicine, 2022

Image Quality Classification for Automated Visual Evaluation of Cervical Precancer.

Zhiyun Xue, Sandeep Angara, Peng Guo, Sivaramakrishnan Rajaraman, Jose Jeronimo, Ana Cecilia Rodriguez, Karla Alfaro, Kittipat Charoenkwan, Chemtai Mungo, Joel Fokom Domgue, Nicolas Wentzensen, Kanan T. Desai, Olusegun Kayode Ajenifuja, Elisabeth Wikstrom, Brian Befano, Silvia De Sanjosé, Mark Schiffman, Sameer K. Antani

Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022

2021

Monte Carlo dropout increases model repeatability.

Andréanne Lemay, Katharina Hoebel, Christopher P. Bridge, Didem Egemen, Ana Cecilia Rodriguez, Mark Schiffman, John Peter Campbell, Jayashree Kalpathy-Cramer

CoRR, 2021

Deep Metric Learning for Cervical Image Classification.

Anabik Pal, Zhiyun Xue, Brian Befano, Ana Cecilia Rodriguez, L. Rodney Long, Mark Schiffman, Sameer K. Antani

IEEE Access, 2021