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Luca Caucci
Assistant Research Professor, Optical Sciences | Assistant Professor, Research Scholar Track
James C Wyant College of Optical Sciences
Overview
Research
More
Collaboration
(10)
Wei Wang
Mutual work: 1 Proposal
Collaboration Details
Lars Furenlid
Mutual work: 6 Proposals﹒10 Publications﹒1 Grant
Collaboration Details
Jeffrey Rodriguez
Mutual work: 1 Publication
Collaboration Details
Arthur Gmitro
Mutual work: 1 Proposal
Collaboration Details
Saad Sammani
Mutual work: 1 Proposal
Collaboration Details
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Grants
(1)
Emission Computed Tomography and Parallel Computing
Active
·
2017
·
$989.4K / $2.5M
·
External
Principal Investigator (PI)
medical imaging,
parallel computing,
emission tomography,
computer science,
data processing
Publications
(43)
Recent
Erratum: Publisher s Note: Stochastic models for objects and images in oncology and virology: application to PI3K-Akt-mTOR signaling and COVID-19 disease.
2021
stochastic models,
oncology,
virology,
pi3k-akt-mtor signaling,
covid-19 disease
Comparing training variability of CNN and optimal linear data reduction on image textures
2020
deep learning,
image analysis,
data reduction,
image processing,
machine learning
CNN performance dependence on linear image processing
2020
image processing,
cnn performance,
linear processing,
computer vision,
machine learning
Stochastic models for objects and images in oncology and virology: Application to PI3K-Akt-mTOR signaling and COVID-19 disease
2020
stochastic models,
oncology,
virology,
pi3k-akt-mtor signaling,
covid-19 disease
Limitations of CNNs for Approximating the Ideal Observer Despite Quantity of Training Data or Depth of Network.
2020
convolutional neural networks,
image recognition,
deep learning,
pattern recognition,
computer vision
Quantifying task performance with photon-processing detectors
2020
photon-processing detectors,
task performance measurement,
quantification methods,
photon detection technology,
sensor performance evaluation
Abstract 1656: Quantifying task performance with photon-processing detectors
2020
Limitations of CNNs for Approximating the Ideal Observer Despite Quantity of Training Data or Depth of Network
2020
convolutional neural networks,
image recognition,
deep learning,
optimal observer theory,
neural network limitations
Towards Continuous-to-Continuous 3D Imaging in the Real World
2019
3d imaging,
continuous imaging,
real world,
computer vision,
image processing
A Real Time Adaptive Strategy for Gamma- Ray Imaging Systems
2019
imaging,
gamma-ray,
real-time,
adaptive strategy,
systems