Kayla Caughlin

According to our database, Kayla Caughlin authored at least 4 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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, Mathias Martinez, Moustafa Al-Khalil, Hussain Al-Enazi, Yi-Shing Lisa Cheng, John Wright, Javier A. Jo, Carlos Busso

IEEE J. Biomed. Health Informatics, 2023

2022

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, Baowei Fei

Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

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

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

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, Vladislav Yakovlev, Mathias Martinez, Moustafa Al-Khalil, Hussain Al-Enazi, Javier A. Jo, Carlos Busso

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021