Silvia De Sanjosé

According to our database, Silvia De Sanjosé authored at least 4 papers between 2021 and 2024.

Collaborative distances:

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

2024

Conformal Prediction and Monte Carlo Inference for Addressing Uncertainty in Cervical Cancer Screening.

Christopher Clark, Scott Kinder, Didem Egemen, Brian Befano, Kanan T. Desai, Syed Rakin Ahmed, Praveer Singh, Ana Cecilia Rodriguez, Jose Jeronimo, Silvia De Sanjosé, Nicolas Wentzensen, Mark Schiffman, Jayashree Kalpathy-Cramer

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2024

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

Cleaning Highly Unbalanced Multisource Image Dataset for Quality Control in Cervical Precancer Screening.

Zhiyun Xue, Peng Guo, Sandeep Angara, Anabik Pal, Jose Jeronimo, Kanan T. Desai, Olusegun Kayode Ajenifuja, Clement Akinfolarin Adepiti, Silvia De Sanjosé, Mark Schiffman, Sameer K. Antani

Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2021