Deep learning-based image evaluation for cervical precancer screening with a smartphone targeting low resource settings - Engineering approach. - Liming Hu; Matthew P. Horning; Dipayan Banik; Olusegun Kayode Ajenifuja; Clement Akinfolarin Adepiti; Karen Yeates; Zac Mtema; Ben Wilson; Courosh Mehanian (EMBC, 2020)

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)

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)