logo
Project Brochure |  
Publications

Journal Publications

In addition to those below,  five journals papers are currently submitted for review, and will appear here if and when accepted.
 
A. Szolna, J. Morera, J.F. Piñeiro, G. Calicó, H. Fabelo, S. Ortega. Hyperspectral Imaging as A Novel Instrument for Intraoperative Brain Tumor Detection. Neurocirugia. v27, pp. 166, 2016.
 

Conference Abstracts in Journals

 
S. Kabwama, D. Bulters, H. Bulstrode, H. Fabelo, S. Ortega, G. M. Callico, B. Stanciulescu, R. Kiran, D. Ravi, A. Szolna, J.F. Pineiro. Intra-operative Hyperspectral Imaging for Brain Tumour Detection and Delineation: Current Progress on the Helicoid Project. International Journal of Surgery. v36, pp. 140, 2016. 
 
 

Conference Publications

S. Kabwama, C. Sosa, S. Ortega, H. Fabelo, A. Szolna, J. F. Piñeiro, D. Bulters, A. J. O’Shanahan, S. Bisshop, G. M. Callicó. Intra-operative Hyperspectral Imaging for Brain Tumour Detection and Delineation. Proceedings of XXXI Conference on Design of Circuits and Integrated Systems (DCIS 2016), 2016.
 
H. Fabelo, S. Ortega, C. Sosa, R. Kiran, D. Ravi, R. Salvador, G. M. Callicó, A. Szolna, J. F. Piñeiro, S. Bisshop, A. J. O’Shanahan, B. Stanciulescu, G. Z. Yang, E. Juárez, R. Sarmiento. A Novel Framework for Brain Cancer Detection based on Spatial-Spectral Hyperspectral Image Classification. Proceedings of XXXI Conference on Design of Circuits and Integrated Systems (DCIS 2016), 2016. 
 
S. Ortega, H. Fabelo, R. Kiran, D. Ravi, S. Kabwama, G. M. Callicó, B. Stanciulescu, G. Z. Yang, D. Bulters, R. Sarmiento. Spatio-Spectral Classification of Hyperspectral Images based on Supervised and Unsupervised Methods for Brain Cancer Detection. Proceedings of XXXI Conference on Design of Circuits and Integrated Systems (DCIS 2016), 2016.
 
D. Madroñal, R. Lazcano, S. Ortega, H. Fabelo, R. Salvador, G. M. Callicó, E. Juárez, C. Sanz. Parallel Integration of PCA and SVM on a Massively Parallel Processor Array (MPPA) Platform Applied to Hyperspectral Images. Proceedings of XXXI Conference on Design of Circuits and Integrated Systems (DCIS 2016), 2016.
 
R. Salvador, H. Fabelo, R. Lazcano, S. Ortega, D. Madroñal, G. M. Callicó, E. Juárez, C. Sanz. Toward Efficient Embedded Implementations of KNN-based Spatial-Spectral Classification in Hyperspectral Imaging for Cancer Detection. Proceedings of XXXI Conference on Design of Circuits and Integrated Systems (DCIS 2016), 2016.
 
D. Madroñal, R. Lazcano, H. Fabelo, S. Ortega, G. M. Callicó, E. Juárez, C. Sanz. Hyperspectral image classification using a parallel implementation of the linear SVM on a Massively Parallel Processor Array (MPPA) platform. Conference on Design & Architectures for Signal & Image Processing (DASIP), October 12-14, 2016.
 
R. Salvador, H. Fabelo, R. Lazcano, S. Ortega, D. Madroñal, G. M. Callicó, E. Juarez and C. Sanz. Demo: HELICoiD Tool Demonstrator for Real-Time Brain Cancer Detection. Conference on Design & Architectures for Signal & Image Processing (DASIP), October 12-14, 2016. Best Demo Award.
 
H. Fabelo, S. Ortega, S. Kabwama, G. M. Callico, D. Bulters, A. Szolna, J. F. Pineiro, R. Sarmiento. (2016, May). HELICoiD project: a new use of hyperspectral imaging for brain cancer detection in real-time during neurosurgical operations. In SPIE Commercial+ Scientific Sensing and Imaging (pp. 986002-986002). International Society for Optics and Photonics. 2016
 
Ortega, S., Callicó, G. M., Plaza, M. L., Camacho, R., Fabelo, H., & Sarmiento, R. (2016, April). Hyperspectral database of pathological in-vitro human brain samples to detect carcinogenic tissues. In Biomedical Imaging (ISBI), 2016 IEEE 13th International Symposium on (pp. 369-372). IEEE. 2016.
 
H. Fabelo, S. Ortega, R. Guerra, G. Callicó, A. Szolna, J. F. Piñeiro, M. Tejedor, S. López and R. Sarmiento. “A Novel Use of Hyperspectral Images for Human Brain Cancer Detection using In-Vivo Samples”, 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC), 2016
 
Dópido, C. Déniz, H. Fabelo, G. Callicó, S. López, R. Sarmiento, D. Bulters, E. Casselden and H. Bulstrode “Decision Tree Classification System for Brain Cancer Detection using Spectrographic Samples”, XXX Conference on Design of Circuits and Integrated Systems (DCIS 2015), IEEE.
 
B. R. Kiran, B. Stanciulescu and J. Angulo. “End-member extraction in hyper-spectral images for brain tumor detection”. Micro- to Nano-Photonics IV- ROMOPTO. September 1-4, 2015. Bucharest, Romania.
 
H. Fabelo, G. M. Callicó, A. Vega, M. Alemán, A. de Pablo, R. Sarmiento and L. Sanjuán. “HELICoiD Demonstrator for Intraoperative Brain Cancer Detection using Hyperspectral Images”. Proceedings of the VI Jornadas de Computación Empotrada (JCE 2015). 2015. Best Paper Award. 
 
Inmaculada Dópido, Gustavo Callicó, Diederik Bulters, Elizabeth Casselden, Himar Fabelo and Harry Bulstrode, “Distinguishing Tumour from Brain using Machine Classification of Infrared Spectral”, Society of British Neurological Surgeons, 22-24 April, 2015, Southampton, U.K.