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Roberto Vega
Roberto Vega
Exo Imaging
Verified email at ualberta.ca - Homepage
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Cited by
Cited by
Year
Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open …
J Guinney, T Wang, TD Laajala, KK Winner, JC Bare, EC Neto, SA Khan, ...
The Lancet Oncology 18 (1), 132-142, 2017
1612017
Retinal vessel extraction using lattice neural networks with dendritic processing
R Vega, G Sanchez-Ante, LE Falcon-Morales, H Sossa, E Guevara
Computers in biology and medicine 58, 20-30, 2015
1502015
SIMLR: Machine Learning inside the SIR model for COVID-19 Forecasting
R Vega, L Flores, R Greiner
Forecasting 4 (1), 72-94, 2022
292022
Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals.
R Vega, T Sajed, KW Mathewson, K Khare, PM Pilarski, R Greiner, ...
Artif. Intell. Res. 6 (1), 37-51, 2017
292017
Skill learning from kinesthetic feedback
D Pinzon, R Vega, YP Sanchez, B Zheng
The American Journal of Surgery 214 (4), 721-725, 2017
272017
Accurate long-range forecasting of COVID-19 mortality in the USA
P Ramazi, A Haratian, M Meghdadi, A Mari Oriyad, MA Lewis, Z Maleki, ...
Scientific reports 11 (1), 13822, 2021
232021
Neurocognitive graphs of first-episode schizophrenia and major depression based on cognitive features
S Liang, R Vega, X Kong, W Deng, Q Wang, X Ma, M Li, X Hu, ...
Neuroscience bulletin 34, 312-320, 2018
222018
Blood vessel segmentation in retinal images using lattice neural networks
R Vega, E Guevara, LE Falcon, G Sanchez-Ante, H Sossa
Advances in Artificial Intelligence and Its Applications: 12th Mexican …, 2013
192013
Improving pattern classification of DNA microarray data by using PCA and logistic regression
R Ocampo-Vega, G Sanchez-Ante, MA De Luna, R Vega, ...
Intelligent Data Analysis 20 (s1), S53-S67, 2016
182016
A DREAM challenge to build prediction models for short-term discontinuation of docetaxel in metastatic castration-resistant prostate cancer
F Seyednasrollah, DC Koestler, T Wang, SR Piccolo, R Vega, R Greiner, ...
JCO clinical cancer informatics 1, 1-15, 2017
172017
Empiric neurocognitive performance profile discovery and interpretation in HIV infection
D Gomez, C Power, MJ Gill, N Koenig, R Vega, E Fujiwara
Journal of NeuroVirology 25, 72-84, 2019
162019
Hemodynamic pattern recognition during deception process using functional near-infrared spectroscopy
R Vega, AG Hernandez-Reynoso, EK Linn, RQ Fuentes-Aguilar, ...
Journal of Medical and Biological Engineering 36, 22-31, 2016
122016
Thyroid nodule segmentation and classification using deep convolutional neural network and rule-based classifiers
A Shahroudnejad, R Vega, A Forouzandeh, S Balachandran, J Jaremko, ...
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
102021
Classification of hand movements from non-invasive brain signals using lattice neural networks with dendritic processing
L Ojeda, R Vega, LE Falcon, G Sanchez-Ante, H Sossa, JM Antelis
Pattern Recognition: 7th Mexican Conference, MCPR 2015, Mexico City, Mexico …, 2015
102015
Sample efficient learning of image-based diagnostic classifiers via probabilistic labels
R Vega, P Gorji, Z Zhang, X Qin, AR Hareendranathan, J Kapur, ...
International Conference on Artificial Intelligence and Statistics, 739-747, 2021
72021
Integrating user-input into deep convolutional neural networks for thyroid nodule segmentation
R Daulatabad, R Vega, JL Jaremko, J Kapur, AR Hareendranathan, ...
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
62021
Finding effective ways to (machine) learn fmri-based classifiers from multi-site data
R Vega, R Greiner
International Workshop on Machine Learning in Clinical Neuroimaging, 32-39, 2018
62018
Pattern analysis in DNA microarray data through PCA-based gene selection
R Ocampo, MA de Luna, R Vega, G Sanchez-Ante, LE Falcon-Morales, ...
Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2014
52014
Prediction of Seizures Using Canine Eeg Data and Deep Learning Techniques: A Comparison Between Convolutional, And Recurrent Neural Networks
R Vega
22020
Domain-shift adaptation via linear transformations
R Vega, R Greiner
arXiv preprint arXiv:2201.05282, 2022
12022
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Articles 1–20