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[1]
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J. A. Actor, B. Riviere, K. Elsayes, and D. Fuentes.
Effects of CT Scanner Type on Deep Learning Segmentation
Algorithms.
2021.
submitted.
[ bib ]
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[2]
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J. A. Actor, D. Fuentes, and B. Riviere.
Robust Regularized Networks in the Presence of Noise.
Medical Image Analysis, 2020.
in revision.
[ bib ]
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[3]
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Millicent Roach, Newsha Nikzad, Tasadduk Chowdhury, Laura Beretta, David
Thomas Alfonso Fuentes, and Eugene Jon Koay.
Enhancement pattern mapping for detection of hepatocellular
carcinoma in cirrhotic patients: A Feasibility Study.
Journal of Hepatocellular Carcinoma, 2020.
in preparation.
[ bib ]
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[4]
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A.W. Moawad, A. Ahmed, D. Fuentes, K.J. Blair, J.D. Hazle, M.A. Habra,
and K.M. Elsayes.
Machine learning-based texture analysis for differentiation of
radiologically indeterminate small adrenal tumors on contrast-enhanced CT
scans.
Frontiers in Oncology, 2020.
in review.
[ bib ]
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[5]
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Ahmed W. Moawad, D. Fuentes, Mohamed G. Elbanan, Katherine J Blair, and
Khaled M. Elsayes.
The Future is Now: Principles and Current and Future Applications of
Deep Learning in Medical Imaging.
Frontiers in Oncology, 2020.
in review.
[ bib ]
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