Publications:

Yang F, Zamzmi G, Angara S, Rajaraman S, Aquilina A, Xue Z, Jaeger S, Papagiannakis E, Antani SK. Assessing Inter-Annotator Agreement for Medical Image Segmentation. IEEE Access, doi: 10.1109/ACCESS.2023.3249759.

Ahmed SR, Befano B, Lemay A, Egemen D, Rodriguez AC, Angara S, Desai K, Jeronimo J, Antani S, Campos N, Inturrisi F, Perkins R, Kreimer A, Wentzensen N, Herrero R, Del Pino M, Quint W, de Sanjose S, Schiffman M, Kalpathy-Cramer J. Reproducible and Clinically Translatable Deep Neural Networks for Cancer Screening. Res Sq. 2023 Mar 3;. doi: 10.21203/rs.3.rs-2526701/v1. PubMed PMID: 36909463; PubMed Central PMCID: PMC10002800.

Xue Z, Angara S, Guo P, Rajaraman S, Jeronimo J, Rodriguez AC, Alfaro K, Charoenkwan K, Mungo C, Fokom‐Domgue J, Wentzensen N, Desai K, Ajenifuja K, Wikström E, Befano BS, Antani S. Image Quality Classification for Automated Visual Evaluation of Cervical Precancer. Zamzmi, G., Antani, S., Bagci, U., Linguraru, M.G., Rajaraman, S., Xue, Z. (eds) Medical Image Learning with Limited and Noisy Data. MILLanD 2022. Lecture Notes in Computer Science, vol 13559. Springer, Cham. https://doi.org/10.1007/978-3-031-16760-7_20.

Angara S, Guo P, Xue Z, Antani S. An Empirical Study of Vision Transformers for Cervical Precancer Detection. In: Santosh, K., Hegadi, R., Pal, U. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2021. Communications in Computer and Information Science, vol 1576. Springer, Cham. https://doi.org/10.1007/978-3-031-07005-1_3.

Guo P, Xue Z, Angara S, Antani SK . Unsupervised Deep Learning Registration of Uterine Cervix Sequence Images. Cancers, 14(10), 2401. https://doi.org/10.3390/cancers14102401.

Levitz D, Angara S, Jeronimo J., Rodriguez AC, Sanjose S, Antani S, Schiffman MW. "A survey of image quality defects and their effect on the performance of an automated visual evaluation classifier". Proc. SPIE PC11950, Optics and Biophotonics in Low-Resource Settings VIII, PC1195003 (7 March 2022); https://doi.org/10.1117/12.2610213.

Xue Z, Angara S, Levitz D, Antani S. Analysis of Digital Noise And Reduction Methods On Classifiers Used In Automated Visual Evaluation In Cervical Cancer Screening. Proceedings of SPIE Photonics West 2022.

Xue Z, Guo P, Angara S, Pal A, Jeronimo J, Dasai KT, Ajenifuja KO, Adepiti CA, Schiffman M, Antani S. Cleaning Highly Unbalanced Multisource Image Dataset for Quality Control in Cervical Precancer Screening. Proceedings of the 4th International Conference on Recent Trends in Image Processing & Pattern Recognition (RTIP2R) 2021.

Angara S, Guo P, Xue Z, Antani S. Semi-Supervised Learning for Cervical Precancer Detection. 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), 2021, pp. 202-206, doi: 10.1109/CBMS52027.2021.00072.