Diferencia entre revisiones de «Usuario:Borja.ayerdi»
De Grupo de Inteligencia Computacional (GIC)
| Línea 64: | Línea 64: | ||
2010 | 2010 | ||
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* Ekaitz Zulueta Guerrero, Naiara Telleria Garay, Jose Manuel Lopez-Guede, Borja Ayerdi Vilches, Eider Egilegor Iragorri, David Lecumberri Castaños, Ana Belén de la Hoz Rastrollo and Carlos Pertusa Peña | |||
: "Prediction of Bladder Cancer Recurrences Using Artificial Neural Networks" | : "Prediction of Bladder Cancer Recurrences Using Artificial Neural Networks" | ||
: ''Lecture Notes in Computer Science, 2010, Volume 6076, Hybrid Artificial Intelligence Systems, Pages 492-499''. | : ''Lecture Notes in Computer Science, 2010, Volume 6076, Hybrid Artificial Intelligence Systems, Pages 492-499''. | ||
Revisión del 18:47 27 feb 2013
Borja Ayerdi Vilches
Personal Data
- E-mail: borja.ayerdi@ehu.es
- Address:
- Computational Intelligence Group
- Computer Science Faculty - Lab. 308
- University Of The Basque Country (UPV/EHU)
- Paseo Manuel Lardizabal 1 - CP: 20018 Donostia/San Sebastián (GUIPUZCOA) - Spain
- Tfno.: (+34) 943.01.51.06
Studies
- Technical Engineering in Information Management (2006/2009) - Universidad del País Vasco (UPV/EHU).
- Computer Science Engineer (2009/2011) - Universidad del País Vasco (UPV/EHU).
- Masters Degree in Computational Engineering and Intelligent Systems (2011/2012) - Universidad del País Vasco (UPV/EHU).
- Currently:
- PhD Student in the Computational Intelligence Group of the Computer Science and Artificial Intelligence Department - Universidad del País Vasco (UPV/EHU).
Research Areas
- Medical Image segmentation and registration.
- Machine Learning application to medical image processing.
- Extreme Learning Machines.
- Hyperspectral imaging.
Working experience
- January 2012 - ongoing: Beca predoctoral / Predoctoral fellowship granted by Gobierno Vasco / Basque Government.
- September 2011 - December 2011: Personal Investigador Contratado / Hired researcher at Universidad del País Vasco (UPV/EHU), Computational Intelligence Group.
- Project: EVARTRAC CIRUGÍA GUIADA POR IMAGEN: APLICACIÓN A LA REPARACIÓN ENDOVASCULAR DE ANEURISMAS DE AORTA.
Courses
- Vitoria-Gasteiz 2009 - (Intensive Programme) Network Security and 4n6
Intership
Publications
2012
Ayerdi, B., Maiora, J., & Grana, M. (2012, December). Active learning of Hybrid Extreme Rotation Forests for CTA image segmentation. In Hybrid Intelligent Systems (HIS), 2012 12th International Conference on (pp. 543-548). IEEE.
2010
- Ekaitz Zulueta Guerrero, Naiara Telleria Garay, Jose Manuel Lopez-Guede, Borja Ayerdi Vilches, Eider Egilegor Iragorri, David Lecumberri Castaños, Ana Belén de la Hoz Rastrollo and Carlos Pertusa Peña
- "Prediction of Bladder Cancer Recurrences Using Artificial Neural Networks"
- Lecture Notes in Computer Science, 2010, Volume 6076, Hybrid Artificial Intelligence Systems, Pages 492-499.
