Article Versions Notes

Caughlin K, Duran-Sierra E, Cheng S, Cuenca R, Ahmed B, Ji J, Martinez M, Al-Khalil M, Al-Enazi H, Jo JA, et al. Contrastive Clustering-Based Patient Normalization to Improve Automated In Vivo Oral Cancer Diagnosis from Multispectral Autofluorescence Lifetime Images. Cancers. 2024; 16(23):4120. https://doi.org/10.3390/cancers16234120

Caughlin, Kayla, Elvis Duran-Sierra, Shuna Cheng, Rodrigo Cuenca, Beena Ahmed, Jim Ji, Mathias Martinez, Moustafa Al-Khalil, Hussain Al-Enazi, Javier A. Jo, and et al. 2024. "Contrastive Clustering-Based Patient Normalization to Improve Automated In Vivo Oral Cancer Diagnosis from Multispectral Autofluorescence Lifetime Images" Cancers 16, no. 23: 4120. https://doi.org/10.3390/cancers16234120

Caughlin, K., Duran-Sierra, E., Cheng, S., Cuenca, R., Ahmed, B., Ji, J., Martinez, M., Al-Khalil, M., Al-Enazi, H., Jo, J. A., & Busso, C. (2024). Contrastive Clustering-Based Patient Normalization to Improve Automated In Vivo Oral Cancer Diagnosis from Multispectral Autofluorescence Lifetime Images. Cancers, 16(23), 4120. https://doi.org/10.3390/cancers16234120