Dr. Luca Caucci
at The Univ of Arizona
SPIE Involvement:
Author | Instructor
Publications (8)

SPIE Journal Paper | 2 May 2016
JMI Vol. 3 Issue 02
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
KEYWORDS: Image sensors, Sensors, Photodetectors, Geometrical optics, Imaging systems, Optical engineering, Radiology, Statistical analysis, Quantum optics, Image quality

Proceedings Article | 27 August 2015 Paper
Proc. SPIE. 9594, Medical Applications of Radiation Detectors V
KEYWORDS: Biomedical optics, Clocks, Imaging systems, Cameras, Sensors, Computer programming, Reconstruction algorithms, Algorithm development, Parallel computing, Expectation maximization algorithms

Proceedings Article | 9 April 2015 Paper
Proc. SPIE. 9412, Medical Imaging 2015: Physics of Medical Imaging
KEYWORDS: Mathematical modeling, Medicine, Cancer, Data modeling, Tumors, Capillaries, Molecules, Diagnostics, Radiotherapy, Receptors

Proceedings Article | 12 September 2014 Paper
Proc. SPIE. 9193, Novel Optical Systems Design and Optimization XVII
KEYWORDS: Photodetectors, Imaging systems, Scattering, Sensors, Matrices, Image quality, Image sensors, Quantum optics, Geometrical optics, Radiology

Showing 5 of 8 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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