Scholar
David Fuentes
Google Scholar ID: Mo4wraAAAAAJ
Professor
Citations & Impact
Citations
4,638
H-index
25
i10-index
51
Publications
20
Co-authors
27
list available
Publications
Resume (English only)
Academic Achievements
- Multiple papers under review or published in journals such as Medical Image Analysis, Journal of Hepatocellular Carcinoma, Frontiers in Oncology, covering topics like deep learning segmentation algorithms, robust regularized networks in the presence of noise, feasibility study for detection of hepatocellular carcinoma, machine learning-based texture analysis, and more.
Research Experience
- Associate Professor, Department of Imaging Physics, The University of Texas MD Anderson Cancer Center
Education
- PhD, Computational and Applied Mathematics, May 2008, The University of Texas at Austin; Master of Science, Computational and Applied Mathematics, August 2005, The University of Texas at Austin; Bachelor of Science, Aerospace Engineering, Highest Honors, December 2002, The University of Texas at Austin
Background
- Research interests: Development, implementation, and validation of high-performance human-assisted computational tools for image-guided interventions. Current research focuses on exploiting the predictive abilities of sophisticated numerical algorithms for treatment planning, real-time monitoring, and real-time feedback control.
