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 (RTIP2R, 2021)

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; et al. (MILLanD@MICCAI, 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)

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; et al. (UNSURE@MICCAI, 2024)