Diferencia entre revisiones de «Usuario:Oier.echaniz»

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'''Medalla al merito ciudadano:'''
'''Medalla al merito ciudadano:'''
ASPANOGI, San Sebastian, 2017
ASPANOGI, San Sebastian, 2017
: As part of Aspanogi volunteering team.
: As part of Aspanogi volunteering team.
: [http://www.eitb.eus/es/noticias/sociedad/detalle/4586845/donostia-dara-20-enero-2017-medallas-al-merito-ciudadano/ link]
: [http://www.eitb.eus/es/noticias/sociedad/detalle/4586845/donostia-dara-20-enero-2017-medallas-al-merito-ciudadano/ link]
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'''Acknowledgement at:''' <br>
'''Acknowledgement at:''' <br>
Jesus M Banales et al.
Jesus M Banales et al.
Línea 200: Línea 203:
: doi:10.1038/nrgastro.2016.51
: doi:10.1038/nrgastro.2016.51
: [http://www.nature.com/nrgastro/journal/vaop/ncurrent/full/nrgastro.2016.51.html#acknowledgments link]
: [http://www.nature.com/nrgastro/journal/vaop/ncurrent/full/nrgastro.2016.51.html#acknowledgments link]
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2012
2012
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'''Entreprenari saria 2012:''' <br>
'''Entreprenari saria 2012:''' <br>
Best end of grade project with business projections.
Best end of grade project with business projections.
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== Activities ==
== Activities ==

Revisión del 15:17 23 oct 2017

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Oier Echaniz Beneitez

Radiofrequency Image

"Ever tried. Ever failed. No matter. Try Again. Fail again. Fail better." - Samuel Beckett
"Solving a problem in a hundred years is, practically speaking, the same as not solving it at all." - Steven Pinker

Studies

PhD Student in the Computational Intelligence Group of the Computer Science and Artificial Intelligence Department - Universidad del País Vasco (UPV/EHU).


Work Experience

  • June/2011 - March/2012 - Research assistant at Tecnalia Research and Innovation
Data mining and optimization algorithms used to predict errors in a aeronautic production.
  • January/2013 - December/2015 - CTO/Founder at Asmatu Intelligent Solutions
Optimization and machine learning for industry


Organizations and volunteering


Software

  • Vampyr: a Python module to analize statistically blood samples.


Publications

Accepted

-

2017

Marta Fernandez-Mercado, Erika Larrea, Izaskun Ceberio, Ibai Goicoechea, Oier Etxaniz, Julien Buratti, Yufei Luo, Marcos Arauzo-Bravo,Markus Landthaler, Charles H. Lawrie1

NOVEL TARGET GENES OF DEREGULATED MIRNAS IN DLBCL REVEALED BY ENDOGENOUS AGO2 PAR-CLIP
22nd Congress of the European Hematology Association (E-POSTER)

Manuel Grana, Oier Echaniz, Beatriz Rodriguez-Vigil and Idoia Labayen.

Automated segmentation of visceral adiposity in MRI in obese children
CORES 2017

Oier Echaniz, Manuel Graña

Ongoing work on deep learning for lung cancer prediction"
IWINAC 2017

2016

Manuel Graña, Oier Echaniz

Views on Electronic Health Record
Inmed 2016

2015

Medrano M, Maiz E, Maldonado-Martín S, Arenaza L, Rodríguez-Vigil B, Ortega FB, Ruiz JR, Larrarte E, Díez I, Sarasúa A, Tobalina I, Barrenechea L, Pérez-Asenjo J, Kannengiesser S, Manhães-Savio A, Echaniz O, Labayen I

The effect of a multidisciplinary intervention program on hepatic adiposity in overweight-obese children: protocol of the EFIGRO study
Contemporary Clinical Trials
DOI: 10.1016/j.cct.2015.09.017

Oier Echaniz, Borja Ayerdi, Alexandre Savio, Manuel Graña

An Ad-Hoc Image Segmentation of Subcutaneous and Visceral Adipose Tissue from Abdomino-Pelvic Magnetic Resonance Images
Inmed 2015

Borja Ayerdi, Oier Echaniz, Alexandre Savio, Manuel Graña

Automated Segmentation of Subcutaneous and Visceral Adipose Tissues from MRI
Inmed 2015

Alexandre Savio, Oier Echaniz, Manuel Graña

Comparando Cerebros con la Morfometría Basada en Voxel Clave: P
Semana del cerebro, San Sebastián, 9/03/2015 (POSTER)


Recognitions

2017

Medalla al merito ciudadano: ASPANOGI, San Sebastian, 2017

As part of Aspanogi volunteering team.
link

2016

Acknowledgement at:
Jesus M Banales et al.

Expert consensus document: Cholangiocarcinoma: current knowledge and future perspectives consensus statement from the European Network for the Study of Cholangiocarcinoma (ENS-CCA)
Nature Reviews Gastroenterology & Hepatology
doi:10.1038/nrgastro.2016.51
link

2012

Entreprenari saria 2012:
Best end of grade project with business projections.

Activities

Borja & I, Wroclaw, 2015

(x) future events, find me in this activities!

Lecturer/Speaker

  • Instructor of Software Carpentry Workshop at Lund University 2016 (LundSWC)
  • Speaker and worshop instructor of European Maker Week Gasteiz 2016 (makerday)

Organization

  • Local organizing committee member of Python San Sebastian 2017 (Pyss17)
  • Organizing committee as Board Member of Europython 2017 (Europython 2017)
  • Local organizing committee member of Python San Sebastian 2016 (Pyss16)
  • Local organizing committee member of ICEUTE 2016 (ICEUTE 2016)
  • Local organizing committee member of SOCO 2016 (SOCO 2016)
  • Local organizing committee member of CISIS 2016 (CISIS 2016)
  • Local organizing committee member of Europython 2016 (Europython 2016)
  • Local organizing committee and helper of Software Carpentry Workshop CFM-EHU 2016
  • Local organizing committee member of the I International Monothematic Congress in Cholangiocarcinoma (MCCCA)
  • Local organizing committee member of Python San Sebastian 2015 (Pyss15)
  • Local organizing committee (Host) and helper of Software Carpentry Workshop CFM-EHU 2015
  • Local organizing committee member of Europython 2015 (Europython 2015)
  • Local organizing committee member of Python San Sebastian 2014 (Pyss14)


Attendee

  • IWINAC 2017 - La Coruña, Galicia, Spain
  • CORES 2017 - Polanica-Zdroj, Poland
  • Inmed 2016 - Tenerife, Canary Islands, Spain
  • PyconSette - Florence, Italy
  • Inmed 2015 - Tokyo, Japan
  • CORES 2015 - Wroclaw, Poland
  • Big Data meets Machine Learning 2015 - Wroclaw, Poland
  • EuroPython 2014 - Berlin, Germany


Interesting Links and Projects

  • SlicerProstate - OS library for prostate imaging (Using Slicer) github
  • QIIRC - Quantitative image informatics for cancer research
  • birving - Personal website of Benjamin Irving (medical Image researcher)
  • cancerimagearchive - Archive with plenty medical images for cancer research

Databases

  • MIMIC - MIMIC is an openly available dataset developed by the MIT Lab for Computational Physiology, comprising deidentified health data associated with ~40,000 critical care patients. It includes demographics, vital signs, laboratory tests, medications, and more.


Research Areas

  • Pattern recognition applied to medical images
  • Medical image processing


Pending Tasks

  • Save the world


Leisure Time

"We are here on Earth to fart around, and don't let anybody tell you different." - Kurt Vonnegut

  • Ordago movie Codirector (Canceled)