End-to-End Neural Network for Feature Extraction and Cancer Diagnosis of In Vivo Fluorescence Lifetime Images of Oral Lesions. - Kayla Caughlin; Elvis Duran-Sierra; Shuna Cheng; Rodrigo Cuenca-Martinez; Beena Ahmed; Jim Ji 001; Vladislav Yakovlev; Mathias Martinez; Moustafa Al-Khalil; Hussain Al-Enazi; Javier A. Jo; Carlos Busso (EMBC, 2021)

Three-dimensional prostate CT segmentation through fine-tuning of a pre-trained neural network using no reference labeling. - Kayla Caughlin; Maysam Shahedi; Jonathan Shoag; Christopher Barbieri; Daniel Margolis; Baowei Fei (Image-Guided Procedures, 2021)

Semi-automated three-dimensional segmentation for cardiac CT images using deep learning and randomly distributed points. - Ted Shi; Maysam Shahedi; Kayla Caughlin; James D. Dormer; Ling Ma 004; Baowei Fei (Image-Guided Procedures, 2022)

Aligning Small Datasets Using Domain Adversarial Learning: Applications in Automated in Vivo Oral Cancer Diagnosis. - Kayla Caughlin; Elvis Duran-Sierra; Shuna Cheng; Rodrigo Cuenca-Martinez; Beena Ahmed; Jim Ji 001; Mathias Martinez; Moustafa Al-Khalil; Hussain Al-Enazi; Yi-Shing Lisa Cheng; John Wright; Javier A. Jo; et al. (IEEE J. Biomed. Health Informatics, 2023)

Beyond Dysplasia: Uncovering Structure in Oral Potentially Malignant Diseases with Unsupervised Contrastive Learning. - Kayla Caughlin; Rodrigo Cuenca-Martinez; Gabriel P. Tortorelli; Yi-Shing Lisa Cheng; Rashmi Hegde; Celeste Abraham; Jacqueline M. Plemons; Ying S. Wang; Victoria Woo; Javier A. Jo; Carlos Busso (EMBC, 2024)

Understanding Bias in Multispectral Autofluorescence Lifetime Imaging: Are Models Sensitive to Oral Location? - Kayla Caughlin; Rodrigo Cuenca-Martinez; Gabriel P. Tortorelli; Kathleen E. Higgins; Ronald Faram; Javier A. Jo; Carlos Busso (EMBC, 2024)