Samuel Ortega
Samuel Ortega
Nofima, Norwegian Institute of Food Fisheries and Aquaculture Research
Verified email at
Cited by
Cited by
In-vivo and ex-vivo tissue analysis through hyperspectral imaging techniques: revealing the invisible features of cancer
M Halicek, H Fabelo, S Ortega, GM Callico, B Fei
Cancers 11 (6), 756, 2019
Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations
H Fabelo, S Ortega, D Ravi, BR Kiran, C Sosa, D Bulters, GM Callicó, ...
PloS one 13 (3), e0193721, 2018
Use of hyperspectral/multispectral imaging in gastroenterology. Shedding some–different–light into the dark
S Ortega, H Fabelo, DK Iakovidis, A Koulaouzidis, GM Callico
Journal of clinical medicine 8 (1), 36, 2019
Deep Learning-Based Framework for In Vivo Identification of Glioblastoma Tumor using Hyperspectral Images of Human Brain
H Fabelo, M Halicek, S Ortega, M Shahedi, A Szolna, JF Piñeiro, C Sosa, ...
Sensors 19 (4), 920, 2019
An intraoperative visualization system using hyperspectral imaging to aid in brain tumor delineation
H Fabelo, S Ortega, R Lazcano, D Madroñal, G M. Callicó, E Juárez, ...
Sensors 18 (2), 430, 2018
Detecting brain tumor in pathological slides using hyperspectral imaging
S Ortega, H Fabelo, R Camacho, M De la Luz Plaza, GM Callicó, ...
Biomedical optics express 9 (2), 818-831, 2018
In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection
H Fabelo, S Ortega, A Szolna, D Bulters, JF Piñeiro, S Kabwama, ...
IEEE Access 7, 39098-39116, 2019
Hyperspectral and multispectral imaging in digital and computational pathology: a systematic review
S Ortega, M Halicek, H Fabelo, GM Callico, B Fei
Biomedical Optics Express 11 (6), 3195-3233, 2020
HELICoiD project: A new use of hyperspectral imaging for brain cancer detection in real-time during neurosurgical operations
H Fabelo, S Ortega, S Kabwama, GM Callico, D Bulters, A Szolna, ...
Hyperspectral Imaging Sensors: Innovative Applications and Sensor Standards …, 2016
Porting a PCA-based hyperspectral image dimensionality reduction algorithm for brain cancer detection on a manycore architecture
R Lazcano, D Madroñal, R Salvador, K Desnos, M Pelcat, R Guerra, ...
Journal of Systems Architecture 77, 101-111, 2017
Hyperspectral imaging for the detection of glioblastoma tumor cells in H&E slides using convolutional neural networks
S Ortega, M Halicek, H Fabelo, R Camacho, ML Plaza, F Godtliebsen, ...
Sensors 20 (7), 1911, 2020
Recent advances in hyperspectral imaging for melanoma detection
TH Johansen, K Møllersen, S Ortega, H Fabelo, A Garcia, GM Callico, ...
Wiley Interdisciplinary Reviews: Computational Statistics 12 (1), e1465, 2020
Non-invasive skin cancer diagnosis using hyperspectral imaging for in-situ clinical support
R Leon, B Martinez-Vega, H Fabelo, S Ortega, V Melian, I Castaño, ...
Journal of clinical medicine 9 (6), 1662, 2020
SVM-based real-time hyperspectral image classifier on a manycore architecture
D Madroñal, R Lazcano, R Salvador, H Fabelo, S Ortega, GM Callicó, ...
Journal of Systems Architecture 80, 30-40, 2017
Accelerating the K-nearest neighbors filtering algorithm to optimize the real-time classification of human brain tumor in hyperspectral images
G Florimbi, H Fabelo, E Torti, R Lazcano, D Madroñal, S Ortega, ...
Sensors 18 (7), 2314, 2018
A Novel Use of Hyperspectral Images for Human Brain Cancer Detection using in-Vivo Samples.
H Fabelo, S Ortega, R Guerra, GM Callicó, A Szolna, JF Piñeiro, ...
BIOSIGNALS, 311-320, 2016
Hyperspectral imaging for head and neck cancer detection: specular glare and variance of the tumor margin in surgical specimens
M Halicek, H Fabelo, S Ortega, JV Little, X Wang, AY Chen, GM Callico, ...
Journal of medical imaging 6 (3), 035004, 2019
High-level design using Intel FPGA OpenCL: A hyperspectral imaging spatial-spectral classifier
R Domingo, R Salvador, H Fabelo, D Madronal, S Ortega, R Lazcano, ...
2017 12th International Symposium on Reconfigurable Communication-centric …, 2017
Towards real-time computing of intraoperative hyperspectral imaging for brain cancer detection using multi-GPU platforms
G Florimbi, H Fabelo, E Torti, S Ortega, M Marrero-Martin, GM Callico, ...
IEEE Access 8, 8485-8501, 2020
Most relevant spectral bands identification for brain cancer detection using hyperspectral imaging
B Martinez, R Leon, H Fabelo, S Ortega, JF Piñeiro, A Szolna, ...
Sensors 19 (24), 5481, 2019
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