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Kayla Caughlin
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2020 – today
- 2023
- [j1]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:
Aligning Small Datasets Using Domain Adversarial Learning: Applications in Automated in Vivo Oral Cancer Diagnosis. IEEE J. Biomed. Health Informatics 27(1): 457-468 (2023) - 2022
- [c3]Ted Shi, Maysam Shahedi, Kayla Caughlin, James D. Dormer, Ling Ma, Baowei Fei:
Semi-automated three-dimensional segmentation for cardiac CT images using deep learning and randomly distributed points. Medical Imaging: Image-Guided Procedures 2022 - 2021
- [c2]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:
End-to-End Neural Network for Feature Extraction and Cancer Diagnosis of In Vivo Fluorescence Lifetime Images of Oral Lesions. EMBC 2021: 3894-3897 - [c1]Kayla Caughlin, Maysam Shahedi, Jonathan Shoag, Christopher Barbieri, Daniel Margolis, Baowei Fei:
Three-dimensional prostate CT segmentation through fine-tuning of a pre-trained neural network using no reference labeling. Medical Imaging: Image-Guided Procedures 2021
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last updated on 2024-10-07 22:10 CEST by the dblp team
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