If you made any changes in Pure, your changes will be visible here soon.

Personal profile

Education/Academic qualification

Electrical and Mechanical Engineering, BS, Aristotelian University of Thessaloniki

Electrical Engineering, MS, Georgia Institute of Technology

Electrical Engineering, PhD, Georgia Institute of Technology

Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 10 Similar Profiles
Image reconstruction Engineering & Materials Science
Restoration Engineering & Materials Science
restoration Physics & Astronomy
Image resolution Engineering & Materials Science
Deconvolution Engineering & Materials Science
Image coding Engineering & Materials Science
Video streaming Engineering & Materials Science
Pixels Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Grants 1996 2023

astrophysics
gravitational waves
neutron stars
predictions
LIGO (observatory)
land use change
remote sensing
biofuel
imagery
sustainability

Research Output 1983 2019

1 Citation (Scopus)

Automatic characterization of plaques and tissue in IVOCT images using a multi-step convolutional neural network framework

Cheimariotis, G. A., Riga, M., Toutouzas, K., Tousoulis, D., Katsaggelos, A. K. & Maglaveras, N., Jan 1 2019, In : IFMBE Proceedings. 68, 1, p. 261-265 5 p.

Research output: Contribution to journalConference article

Optical tomography
Tissue
Neural networks
Lipids
Blueprints

Classifying the unknown: Discovering novel gravitational-wave detector glitches using similarity learning

Coughlin, S., Bahaadini, S., Rohani, N., Zevin, M., Patane, O., Harandi, M., Jackson, C., Noroozi, V., Allen, S., Areeda, J., Coughlin, M., Ruiz, P., Berry, C. P. L., Crowston, K., Katsaggelos, A. K., Lundgren, A., Østerlund, C., Smith, J. R., Trouille, L. & Kalogera, V., Apr 15 2019, In : Physical Review D. 99, 8, 082002.

Research output: Contribution to journalArticle

LIGO (observatory)
machine learning
classifying
gravitational waves
learning
2 Citations (Scopus)

Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution

Lucas, A., Lopez-Tapia, S., Molina, R. & Katsaggelos, A. K., Jul 1 2019, In : IEEE Transactions on Image Processing. 28, 7, p. 3312-3327 16 p., 8629024.

Research output: Contribution to journalArticle

Discriminators
Image reconstruction
Pixels
Neural networks
Processing
1 Citation (Scopus)

Learning from crowds with variational Gaussian processes

Ruiz, P., Morales-Álvarez, P., Molina, R. & Katsaggelos, A. K., Apr 1 2019, In : Pattern Recognition. 88, p. 298-311 14 p.

Research output: Contribution to journalArticle

Labels
Supervised learning
Web services
Labeling
Classifiers

Neural networks for modeling neural spiking in S1 cortex

Lucas, A., Tomlinson, T., Rohani, N., Chowdhury, R., Solla, S. A., Katsaggelos, A. K. & Miller, L. E., Jan 24 2019, In : Frontiers in Systems Neuroscience. 13, 13.

Research output: Contribution to journalArticle

Open Access
Touch
Biomechanical Phenomena
Neurons
Proprioception
Neural Networks (Computer)