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Kayla Caughlin

Showing results (1-10 of 8) with videos related to

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Proceedings of Spie--The International Society for Optical Engineering|February 16, 2023
Semi-automated three-dimensional segmentation for cardiac CT images using deep learning and randomly distributed pointsTed Shi, Maysam Shahedi, Kayla Caughlin, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 27, 2022
Three-dimensional prostate CT segmentation through fine-tuning of a pre-trained neural network using no reference labelingKayla Caughlin, Maysam Shahedi, Jonathan E Shoag, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Understanding Bias in Multispectral Autofluorescence Lifetime Imaging: Are Models Sensitive to Oral Location?Kayla Caughlin, Rodrigo Cuenca Martinez, Gabriel P Tortorelli, et al.
Cancers|December 17, 2024
Contrastive Clustering-Based Patient Normalization to Improve Automated In Vivo Oral Cancer Diagnosis from Multispectral Autofluorescence Lifetime ImagesKayla Caughlin, Elvis Duran-Sierra, Shuna Cheng, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Beyond Dysplasia: Uncovering Structure in Oral Potentially Malignant Diseases with Unsupervised Contrastive LearningKayla Caughlin, Rodrigo Cuenca Martinez, Gabriel P Tortorelli, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
End-to-End Neural Network for Feature Extraction and Cancer Diagnosis of In Vivo Fluorescence Lifetime Images of Oral LesionsKayla Caughlin, Elvis Duran-Sierra, Shuna Cheng, et al.
Optics Letters|June 13, 2025
Dual-excitation multispectral fluorescence lifetime imaging handheld endoscope for label-free metabolic and biochemical imaging of the oral mucosaGabriel Tortorelli, Rodrigo Cuenca, Michael J Serafino, et al.
IEEE Journal of Biomedical and Health Informatics|October 24, 2022
Aligning Small Datasets Using Domain Adversarial Learning: Applications in Automated in Vivo Oral Cancer DiagnosisKayla Caughlin, Elvis Duran-Sierra, Shuna Cheng, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Proceedings of Spie--The International Society for Optical Engineering|February 16, 2023
Semi-automated three-dimensional segmentation for cardiac CT images using deep learning and randomly distributed pointsTed Shi, Maysam Shahedi, Kayla Caughlin, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 27, 2022
Three-dimensional prostate CT segmentation through fine-tuning of a pre-trained neural network using no reference labelingKayla Caughlin, Maysam Shahedi, Jonathan E Shoag, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Understanding Bias in Multispectral Autofluorescence Lifetime Imaging: Are Models Sensitive to Oral Location?Kayla Caughlin, Rodrigo Cuenca Martinez, Gabriel P Tortorelli, et al.
Cancers|December 17, 2024
Contrastive Clustering-Based Patient Normalization to Improve Automated In Vivo Oral Cancer Diagnosis from Multispectral Autofluorescence Lifetime ImagesKayla Caughlin, Elvis Duran-Sierra, Shuna Cheng, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Beyond Dysplasia: Uncovering Structure in Oral Potentially Malignant Diseases with Unsupervised Contrastive LearningKayla Caughlin, Rodrigo Cuenca Martinez, Gabriel P Tortorelli, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
End-to-End Neural Network for Feature Extraction and Cancer Diagnosis of In Vivo Fluorescence Lifetime Images of Oral LesionsKayla Caughlin, Elvis Duran-Sierra, Shuna Cheng, et al.
Optics Letters|June 13, 2025
Dual-excitation multispectral fluorescence lifetime imaging handheld endoscope for label-free metabolic and biochemical imaging of the oral mucosaGabriel Tortorelli, Rodrigo Cuenca, Michael J Serafino, et al.
IEEE Journal of Biomedical and Health Informatics|October 24, 2022
Aligning Small Datasets Using Domain Adversarial Learning: Applications in Automated in Vivo Oral Cancer DiagnosisKayla Caughlin, Elvis Duran-Sierra, Shuna Cheng, et al.
Pageof 1