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)

A probabilistic approach to segmentation and classification of neoplasia in uterine cervix images using color and geometric features. - Yeshwanth Srinivasan; Dana Hernes; Bhakti Tulpule; Shuyu Yang; Jiangling Guo; Sunanda Mitra; Sriraja Yagneswaran; Brian Nutter; Jose Jeronimo; Benny Phillips; L. Rodney Long; Daron Ferris (Image Processing, 2005)

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)

Content analysis of uterine cervix images: initial steps toward content based indexing and retrieval of cervigrams. - Shiri Gordon; Gali Zimmerman; L. Rodney Long; Sameer K. Antani; Jose Jeronimo; Hayit Greenspan (Image Processing, 2006)

Investigating CBIR Techniques for Cervicographic Images. - Zhiyun Xue; Sameer K. Antani; L. Rodney Long; Jose Jeronimo; George R. Thoma (AMIA, 2007)

Methods for MRMC Roc Analysis and Components-Ofvariance Modeling Using Colposcopy Images. - Elizabeth R. Hsu; Brandon D. Gallas; Jose Jeronimo (ISBI, 2007)

Comparative performance analysis of cervix ROI extraction and specular reflection removal algorithms for uterine cervix image analysis. - Zhiyun Xue; Sameer K. Antani; L. Rodney Long; Jose Jeronimo; George R. Thoma (Image Processing, 2007)

Cervicographic image retrieval by spatial similarity of lesions. - Zhiyun Xue; L. Rodney Long; Sameer K. Antani; George R. Thoma; Jose Jeronimo (ICPR, 2008)

Tissue classification using cluster features for lesion detection in digital cervigrams. - Xiaolei Huang 001; Wei Wang 057; Zhiyun Xue; Sameer K. Antani; L. Rodney Long; Jose Jeronimo (Image Processing, 2008)

Segmentation of mosaicism in cervicographic images using support vector machines. - Zhiyun Xue; L. Rodney Long; Sameer K. Antani; Jose Jeronimo; George R. Thoma (Image Processing, 2009)

Evaluation of uterine cervix segmentations using ground truth from multiple experts. - Shiri Gordon; Shelly Lotenberg; L. Rodney Long; Sameer K. Antani; Jose Jeronimo; Hayit Greenspan (Comput. Medical Imaging Graph., 2009)

Automatic Detection of Anatomical Landmarks in Uterine Cervix Images. - Hayit Greenspan; Shiri Gordon; Gali Zimmerman; Shelly Lotenberg; Jose Jeronimo; Sameer K. Antani; L. Rodney Long (IEEE Trans. Medical Imaging, 2009)

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)

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)