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Julian Rene Cuellar Buritica
Research/Graduate Assistant
SPIE Involvement:
Author
Area of Expertise:
Biomedical image processing and Analysis , Python programming , Signal processing , Machine learning and deep learning , MATLAB , LabVIEW
Profile Summary
Ph.D. candidate in engineering sciences, researching medical imaging, with 20 years of experience in teaching, research, and project management. Proficient in Python, C++, and biomedical imaging processing, with a strong background in digital signal processing, automation, and programming. Demonstrates expertise in developing innovative solutions and implementing advanced tissue classification and image visualization algorithms.

Honor and Awards
Outstanding Graduate Student, School of Engineering, Southern Illinois University, Abril 2024
Predoctoral Fellowship, American Heart Association (AHA), January 2024
Research Grants for Graduate Students Award, Graduate School, Southern Illinois University, April 2019
Outstanding Graduate Student, School of Engineering, Southern Illinois University, February 2019
Fulbright Scholarship SENA-ENI, Fulbright Organization, March 2017
Publications (2)
Proceedings Article | 1 April 2024 Presentation + Paper
Echocardiogram image segmentation and cardiac adipose tissue estimation using spectral analysis and deep learning
Julian Cuellar, Lucas Gillette, Vu Dinh, Pamela Woodard, Manjula Burri, Jon Klingensmith
Proceedings Volume 12932, 129320C (2024) https://doi.org/10.1117/12.3004836
KEYWORDS: Computed tomography, Magnetic resonance imaging, Education and training, Ultrasonography, Image segmentation, Heart, Deep learning, Data modeling, Adipose tissue, Spectral data processing
Proceedings Article | 2 May 2019 Presentation + Paper
Detection of syrinx in thermographic images of canines with Chiari malformation using MATLAB CVIP toolbox GUI
A. Karlapalem, J. Cuellar , S. Umbaugh, D. Marino, J. Sackman
Proceedings Volume 11004, 1100405 (2019) https://doi.org/10.1117/12.2519112
KEYWORDS: MATLAB, Feature extraction, Image classification, Software development, Image segmentation, Image processing, Cameras, Algorithm development, Distance measurement, Machine vision
Course Instructor
NON-SPIE: ECE352 Engineering probability and statistics
Probability; random variables and probability distributions; statistics; Monte-Carlo simulations; estimation theory; decision theory; hypothesis testing; random processes; and linear system response to random processes.
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