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Aitor Alvarez-GilaSenior researcher at TECNALIADirección de correo verificada de tecnalia.com
Arantza BereciartuaTecnalia Research & InnovationDirección de correo verificada de tecnalia.com
Unai IrustaAssociate Professor, University of the Basque CountryDirección de correo verificada de ehu.eus
Adrian GaldranRamon y Cajal Postdoctoral Researcher, Computer Vision Center - UAB, SpainDirección de correo verificada de cvc.uab.cat
Amaia Ortiz BarredoNEIKERDirección de correo verificada de NEIKER.EUS
Luisa F. Sánchez-PeraltaJesús Usón Minimally Invasive Surgery CentreDirección de correo verificada de ccmijesususon.com
David PardoIkerbasque, University of the Basque Country (UPV/EHU), and BCAMDirección de correo verificada de ehu.eus
J. Blas PagadorJesus Usón Minimally Invasive Surgery CentreDirección de correo verificada de ccmijesususon.com
Dr. Christian KlukasPrincipal Scientist at BASF SEDirección de correo verificada de users.sf.net
Estibaliz GarroteResearcher, TecnaliaDirección de correo verificada de tecnalia.com
E AramendiUPV/EHUDirección de correo verificada de ehu.es
Alfonso MedelaChief AI Officer at Legit.HealthDirección de correo verificada de legit.health
Andoni ElolaUniversity of the Basque Country EHU/UPVDirección de correo verificada de ehu.eus
Riccardo CicchiNational Institute of Optics, CNR & European Laboratory for Nonlinear Spectroscopy (LENS)Dirección de correo verificada de lens.unifi.it
Laura Gomez-ZamanilloComputer Vision/Artificial Intelligence, TECNALIA, Basque Research and Technology Alliance (BRTA)Dirección de correo verificada de tecnalia.com
Javier (Javi) Del SerTECNALIA, University of the Basque Country (UPV/EHU), University of GranadaDirección de correo verificada de tecnalia.com
Mostafa ShahriariGE HealthcareDirección de correo verificada de gehealthcare.com
Unai Ayala FernandezAssociate Professor, University of MondragonDirección de correo verificada de mondragon.edu
francesco saverio pavoneuniversity of florenceDirección de correo verificada de unifi.it
Sendoa Ballesteros-PeñaSupervisor Docencia, investigación e innovación de Enfermería. Organización Sanitaria Integrada deDirección de correo verificada de ehu.eus

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Computer Vision/Artificial Intelligence, TECNALIA, Basque Research and Technology Alliance (BRTA)

Dirección de correo verificada de tecnalia.com - Página principal

Computer Vision Image Processing Machine Learning Remote Spectroscopy


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Automatic red-channel underwater image restoration A Galdran, D Pardo, A Picón, A Alvarez-Gila Journal of Visual Communication and Image Representation 26, 132-145, 2015	808	2015
Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild A Picon, A Alvarez-Gila, M Seitz, A Ortiz-Barredo, J Echazarra, ... Computers and Electronics in Agriculture 161, 280-290, 2019	444	2019
Automatic plant disease diagnosis using mobile capture devices, applied on a wheat use case A Johannes, A Picon, A Alvarez-Gila, J Echazarra, ... Computers and electronics in agriculture 138, 200-209, 2017	390	2017
Few-Shot Learning approach for plant disease classification using images taken in the field D Argüeso, A Picon, U Irusta, A Medela, MG San-Emeterio, A Bereciartua, ... Computers and Electronics in Agriculture 175, 105542, 2020	238	2020
Crop conditional Convolutional Neural Networks for massive multi-crop plant disease classification over cell phone acquired images taken on real field conditions A Picon, M Seitz, A Alvarez-Gila, P Mohnke, A Ortiz-Barredo, J Echazarra Computers and Electronics in Agriculture 167, 105093, 2019	165	2019
Fuzzy spectral and spatial feature integration for classification of nonferrous materials in hyperspectral data A Picón, O Ghita, PF Whelan, PM Iriondo IEEE Transactions on Industrial Informatics 5 (4), 483-494, 2009	134	2009
Deep learning to find colorectal polyps in colonoscopy: A systematic literature review LF Sánchez-Peralta, L Bote-Curiel, A Picon, FM Sanchez-Margallo, ... Artificial intelligence in medicine 108, 101923, 2020	121	2020
Few shot learning in histopathological images: reducing the need of labeled data on biological datasets A Medela, A Picon, CL Saratxaga, O Belar, V Cabezón, R Cicchi, R Bilbao, ... 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019	83	2019
Deep neural networks for ECG-based pulse detection during out-of-hospital cardiac arrest A Elola, E Aramendi, U Irusta, A Picón, E Alonso, P Owens, A Idris Entropy 21 (3), 305, 2019	77	2019
Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia A Picon, U Irusta, A Álvarez-Gila, E Aramendi, F Alonso-Atienza, ... PloS one 14 (5), e0216756, 2019	69	2019
A deep learning approach to the inversion of borehole resistivity measurements M Shahriari, D Pardo, A Picón, A Galdran, J Del Ser, C Torres-Verdín Computational Geosciences 24, 971-994, 2020	62	2020
MRI deep learning-based solution for Alzheimer’s disease prediction CL Saratxaga, I Moya, A Picón, M Acosta, ... Journal of personalized medicine 11 (9), 902, 2021	61	2021
Piccolo white-light and narrow-band imaging colonoscopic dataset: A performance comparative of models and datasets LF Sánchez-Peralta, JB Pagador, A Picón, ÁJ Calderón, F Polo, ... Applied Sciences 10 (23), 8501, 2020	51	2020
Real-time hyperspectral processing for automatic nonferrous material sorting A Picón, O Ghita, A Bereciartua, J Echazarra, PF Whelan, PM Iriondo Journal of Electronic Imaging 21 (1), 013018-013018, 2012	49	2012
Deep learning-based segmentation of multiple species of weeds and corn crop using synthetic and real image datasets A Picon, MG San-Emeterio, A Bereciartua-Perez, C Klukas, T Eggers, ... Computers and Electronics in Agriculture 194, 106719, 2022	42	2022
Error control and loss functions for the deep learning inversion of borehole resistivity measurements M Shahriari, D Pardo, JA Rivera, C Torres‐Verdín, A Picon, J Del Ser, ... International Journal for Numerical Methods in Engineering 122 (6), 1629-1657, 2021	39	2021
Audio classification techniques in home environments for elderly/dependant people H Lozano, I Hernáez, A Picón, J Camarena, E Navas Computers Helping People with Special Needs: 12th International Conference …, 2010	35	2010
Constellation loss: Improving the efficiency of deep metric learning loss functions for the optimal embedding of histopathological images A Medela, A Picon Journal of Pathology Informatics 11 (1), 38, 2020	34	2020
Automatic 3D model-based method for liver segmentation in MRI based on active contours and total variation minimization A Bereciartua, A Picon, A Galdran, P Iriondo Biomedical Signal Processing and Control 20, 71-77, 2015	31	2015
Unravelling the effect of data augmentation transformations in polyp segmentation LF Sánchez-Peralta, A Picón, FM Sánchez-Margallo, JB Pagador International journal of computer assisted radiology and surgery 15 (12 …, 2020	29	2020

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