A Deep Clustering Method For Analyzing Uterine Cervix Images Across Imaging Devices. - Zhiyun Xue; Peng Guo; Kanan T. Desai; Anabik Pal; Kayode O. Ajenifuja; Clement Akinfolarin Adepiti; L. Rodney Long; Mark Schiffman; Sameer K. Antani (CBMS, 2021)

Image Augmentation for Improving Automated Eligibility-Classification for Cervical Precancer Ablation Treatment. - Peng Guo; Zhiyun Xue; Jose Jeronimo; Julia C. Gage; Kanan T. Desai; Brian Befano; Francisco García; Mark Schiffman; Sameer K. Antani (RTIP2R, 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 (RTIP2R, 2021)

Deep multiple-instance learning for abnormal cell detection in cervical histopathology images. - Anabik Pal; Zhiyun Xue; Kanan T. Desai; Adekunbiola Aina F. Banjo; Clement Akinfolarin Adepiti; L. Rodney Long; Mark Schiffman; Sameer K. Antani (Comput. Biol. Medicine, 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)

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)