David T. Fuentes

Lung tumor segmentation methods: Impact on the uncertainty of radiomics features for non-small cell lung cancer

Jinzhong Yang, Dennis S. Mackin, Wen Yu, 2018, PloS one.

Identification of kernels in a convolutional neural network: connections between the level set equation and deep learning for image segmentation

Beatrice Riviere, David T. Fuentes, Jonas A. Actor, 2020, Medical Imaging: Image Processing.

Mutual-Information Based Optimal Experimental Design for Hyperpolarized 13C-Pyruvate MRI

David T. Fuentes, J. Oden, J. Bankson, 2022, ArXiv.

Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy pdf

Daniel S. Marcus, Satish Viswanath, David T. Fuentes, 2021, ArXiv.

Artificial Intelligence in Diagnostic Radiology: Where Do We Stand, Challenges, and Opportunities

David T. Fuentes, K. Elsayes, Mohamed G. Elbanan, 2022, Journal of computer assisted tomography.

PocketNet: A Smaller Neural Network for Medical Image Analysis

David T. Fuentes, Jonas A. Actor, B. Rivière, 2021, IEEE Transactions on Medical Imaging.

FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging Segmentation

David T. Fuentes, B. Rivière, A. Celaya, 2023, ArXiv.