An Architecture for Streamlining the Implementation of Biomedical Text/Image Databases on the Web. - Mike Bopf; Tina Coleman; L. Rodney Long; Sameer K. Antani; George R. Thoma; Jose Jeronimo; Mark Schiffman (CBMS, 2004)

A Tool for Collection of Region Based Data from Uterine Cervix Images for Correlation of Visual and Clinical Variables Related to Cervical Neoplasia. - Jose Jeronimo; Mark Schiffman; L. Rodney Long; Leif Neve; Sameer K. Antani (CBMS, 2004)

A multispectral digital Cervigram analyzer in the wavelet domain for early detection of cervical cancer. - Shuyu Yang; Jiangling Guo; Philip S. King; Y. Sriraja; Sunanda Mitra; Brian Nutter; Daron Ferris; Mark Schiffman; Jose Jeronimo; L. Rodney Long (Image Processing, 2004)

Technology for Medical Education, Research, and Disease Screening by Exploitation of Biomarkers in a Large Collection of Uterine Cervix Images. - L. Rodney Long; Sameer K. Antani; Jose Jeronimo; Mark Schiffman; Mike Bopf; Leif Neve; Carl Cornwell; Scott R. Budihas; George R. Thoma (CBMS, 2006)

Viral coinfection analysis using a MinHash toolkit. - Eric T. Dawson; Sarah Wagner; David Roberson; Meredith Yeager; Joseph Boland; Erik Garrison; Stephen J. Chanock; Mark Schiffman; Tina Raine-Bennett; Thomas Lorey; Phillip E. Castle; Lisa Mirabello; et al. (BMC Bioinform., 2019)

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 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)

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)

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)

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)