Dr. Luca Caucci
at The Univ of Arizona
SPIE Involvement:
Author | Instructor
Publications (10)

Proceedings Article | 4 April 2022 Poster + Paper
Proceedings Volume 12031, 120313I (2022) https://doi.org/10.1117/12.2611869
KEYWORDS: Tumors, Imaging systems, Mathematical modeling, Sensors, Cameras, Image processing, Oncology, Cancer, 3D modeling

SPIE Journal Paper | 1 December 2020 Open Access
JMI, Vol. 8, Issue S1, S16001, (December 2020) https://doi.org/10.1117/12.10.1117/1.JMI.8.S1.S16001

SPIE Journal Paper | 2 May 2016
Harrison Barrett, David Alberts, James Woolfenden, Luca Caucci, John Hoppin
JMI, Vol. 3, Issue 02, 023502, (May 2016) https://doi.org/10.1117/12.10.1117/1.JMI.3.2.023502
KEYWORDS: Molecules, Tumors, Data modeling, Mathematical modeling, Radiotherapy, Receptors, Diffusion, Capillaries, Diagnostics, Clinical trials

SPIE Journal Paper | 5 January 2016
OE, Vol. 55, Issue 01, 013102, (January 2016) https://doi.org/10.1117/12.10.1117/1.OE.55.1.013102
KEYWORDS: Image sensors, Sensors, Photodetectors, Geometrical optics, Imaging systems, Optical engineering, Radiology, Statistical analysis, Quantum optics, Image quality

Proceedings Article | 27 August 2015 Paper
Proceedings Volume 9594, 95940G (2015) https://doi.org/10.1117/12.2195217
KEYWORDS: Computer programming, Reconstruction algorithms, Sensors, Biomedical optics, Algorithm development, Expectation maximization algorithms, Cameras, Clocks, Imaging systems, Parallel computing

Showing 5 of 10 publications
Course Instructor
SC1296: High-Performance Computing for Medical Imaging on Graphics Processing Units (GPU) with CUDA
This course covers the basic principles of graphics processing unit (GPU) programming with CUDA. To become familiar with the programming model, we will start with a simple example, to be followed by more in-depth topics related to GPU programming. Some applications to medical imaging will be presented. Anyone who wants to know how to parallelize their code and make it run 10 times faster by harnessing the massively parallel capabilities of modern GPUs, will benefit from taking this course.
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