Order Article Reprints

Xu Z, Rauch DE, Mohamed RM, Pashapoor S, Zhou Z, Panthi B, Son JB, Hwang K-P, Musall BC, Adrada BE, et al. Deep Learning for Fully Automatic Tumor Segmentation on Serially Acquired Dynamic Contrast-Enhanced MRI Images of Triple-Negative Breast Cancer. Cancers. 2023; 15(19):4829. https://doi.org/10.3390/cancers15194829

Xu, Zhan, David E. Rauch, Rania M. Mohamed, Sanaz Pashapoor, Zijian Zhou, Bikash Panthi, Jong Bum Son, Ken-Pin Hwang, Benjamin C. Musall, Beatriz E. Adrada, and et al. 2023. "Deep Learning for Fully Automatic Tumor Segmentation on Serially Acquired Dynamic Contrast-Enhanced MRI Images of Triple-Negative Breast Cancer" Cancers 15, no. 19: 4829. https://doi.org/10.3390/cancers15194829

Xu, Z., Rauch, D. E., Mohamed, R. M., Pashapoor, S., Zhou, Z., Panthi, B., Son, J. B., Hwang, K.-P., Musall, B. C., Adrada, B. E., Candelaria, R. P., Leung, J. W. T., Le-Petross, H. T. C., Lane, D. L., Perez, F., White, J., Clayborn, A., Reed, B., Chen, H., ... Ma, J. (2023). Deep Learning for Fully Automatic Tumor Segmentation on Serially Acquired Dynamic Contrast-Enhanced MRI Images of Triple-Negative Breast Cancer. Cancers, 15(19), 4829. https://doi.org/10.3390/cancers15194829