A. Picón

发表

Early detection of downy mildew in vineyards based on hyperspectral imaging

A. Picón, S. Rodríguez-Vaamonde, A. M. Díez-Navajas, 2014 .

PICCOLO White-Light and Narrow-Band Imaging Colonoscopic Dataset: A Performance Comparative of Models and Datasets

F. Sánchez-Margallo, J. B. Pagador, L. F. Sánchez-Peralta, 2020, Applied Sciences.

Vector measure Banach spaces containing a complemented copy of

A. Picón, C. Piñeiro, 2004 .

Innovative multiphotonic endoscope to address technological challenges in current colonoscopy procedure

R., D. Alfieri, B. Roycroft, 2018 .

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Paul F. Whelan, Ovidiu Ghita, Pedro M. Iriondo, 2022 .

Deep convolutional neural network for damaged vegetation segmentation from RGB images based on virtual NIR-channel estimation

C. Klukas, A. Picón, T. Eggers, 2022, Artificial Intelligence in Agriculture.

Gaze based interfaces and eye tracking system for Computer / Human interaction applied to AmI environments

A. Picón, S. Rentería, 2004 .

Automatic plant disease diagnosis using mobile capture devices, applied on a wheat use case

Artzai Picón, Aitor Alvarez-Gila, Sergio Rodríguez-Vaamonde, 2017, Comput. Electron. Agric..

Analysis of Few-Shot Techniques for Fungal Plant Disease Classification and Evaluation of Clustering Capabilities Over Real Datasets

C. Klukas, A. Picón, T. Eggers, 2022, Frontiers in Plant Science.

Constellation Loss: Improving the Efficiency of Deep Metric Learning Loss Functions for the Optimal Embedding of histopathological images

Alfonso Medela, Artzai Picon, A. Picón, 2020, Journal of pathology informatics.

Constellation Loss: Improving the efficiency of deep metric learning loss functions for optimal embedding pdf

Artzai Picon, Alfonso Medela, A. Picón, 2019, ArXiv.

Real-time hyperspectral processing for automatic nonferrous material sorting

Paul F. Whelan, Ovidiu Ghita, Artzai Picón, 2012, J. Electronic Imaging.

Few-Shot Learning approach for plant disease classification using images taken in the field

Unai Irusta, Aitor Alvarez-Gila, Arantza Bereciartua, 2020, Comput. Electron. Agric..

Analysis on the Characterization of Multiphoton Microscopy Images for Malignant Neoplastic Colon Lesion Detection under Deep Learning Methods

A. Picón, F. Pavone, Nagore Andraka, 2021, Journal of pathology informatics.

MRI Deep Learning-Based Solution for Alzheimer’s Disease Prediction

Estíbaliz Garrote, A. Picón, C. L. Saratxaga, 2021, Journal of personalized medicine.

Biologically-inspired data decorrelation for hyper-spectral imaging

Paul F. Whelan, Ovidiu Ghita, Artzai Picón, 2011, EURASIP J. Adv. Signal Process..

Automatic Red-Channel underwater image restoration

Adrian Galdran, David Pardo, Artzai Picón, 2015, J. Vis. Commun. Image Represent..

Deep learning to find colorectal polyps in colonoscopy: A systematic literature review

Luis Bote-Curiel, Francisco M Sánchez-Margallo, Luisa F Sánchez-Peralta, 2020, Artif. Intell. Medicine.

Convolutional Recurrent Neural Networks to Characterize the Circulation Component in the Thoracic Impedance during Out-of-Hospital Cardiac Arrest

Unai Irusta, Iraia Isasi, Elisabete Aramendi, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Deep Neural Networks for ECG-Based Pulse Detection during Out-of-Hospital Cardiac Arrest

Unai Irusta, Artzai Picón, Elisabete Aramendi, 2019, Entropy.

Deep Learning for Pulse Detection in Out-of-Hospital Cardiac Arrest Using the ECG

Unai Irusta, Artzai Picón, Elisabete Aramendi, 2018, 2018 Computing in Cardiology Conference (CinC).

Crop conditional Convolutional Neural Networks for massive multi-crop plant disease classification over cell phone acquired images taken on real field conditions

Artzai Picón, Aitor Alvarez-Gila, Jone Echazarra, 2019, Comput. Electron. Agric..

Deep learning-based segmentation of multiple species of weeds and corn crop using synthetic and real image datasets

Miguel G. San-Emeterio, C. Klukas, A. Picón, 2022, Comput. Electron. Agric..

Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild

Artzai Picón, Aitor Alvarez-Gila, Jone Echazarra, 2019, Comput. Electron. Agric..

Novel Pixelwise Co-Registered Hematoxylin-Eosin and Multiphoton Microscopy Image Dataset for Human Colon Lesion Diagnosis

Estíbaliz Garrote, L. F. Sánchez-Peralta, A. Picón, 2022, Journal of pathology informatics.

Learning semantically-annotated routes for context-aware recommendations on map navigation systems

Javier Jaén Martínez, Alejandro Cadenas, Artzai Picón, 2012, Appl. Soft Comput..

Eigenloss: Combined PCA-Based Loss Function for Polyp Segmentation

Artzai Picón, Luisa F. Sánchez-Peralta, Juan Antonio Antequera-Barroso, 2020 .

Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia

Felipe Alonso-Atienza, Trygve Eftestøl, Unai Irusta, 2019, PloS one.

A Probabilistic Model and Capturing Device for Remote Simultaneous Estimation of Spectral Emissivity and Temperature of Hot Emissive Materials

Aitor Alvarez-Gila, Artzai Picon, Asier Vicente, 2021, IEEE Access.

Few Shot Learning in Histopathological Images:Reducing the Need of Labeled Data on Biological Datasets

Riccardo Cicchi, Artzai Picon, Ben Glover, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Beach carrying capacity management under Covid-19 era on the Basque Coast by means of automated coastal videometry

Jose Antonio Arteche, A. Picón, P. Liria, 2021, Ocean & coastal management.

3D active surfaces for liver segmentation in multisequence MRI images

Adrian Galdran, Artzai Picón, Pedro M. Iriondo, 2016, Comput. Methods Programs Biomed..

Automatic 3D model-based method for liver segmentation in MRI based on active contours and total variation minimization

Adrian Galdran, Artzai Picón, Pedro M. Iriondo, 2015, Biomed. Signal Process. Control..

Pectoral Muscle Segmentation in Mammograms Based on Cartoon-Texture Decomposition

Adrian Galdran, David Pardo, Artzai Picón, 2015, IbPRIA.

Surface inspection of polyurethane foam by image processing and artificial neural networks techniques

Artzai Picon, Jose Angel Gutierrez Olabarria, Arantza Bereciartua, 2004 .

Error control and loss functions for the deep learning inversion of borehole resistivity measurements pdf

M. Shahriari, D. Pardo, J. A. Rivera, 2020, International Journal for Numerical Methods in Engineering.

Insect counting through deep learning-based density maps estimation

C. Klukas, A. Picón, Ramón Navarra-Mestre, 2022, Comput. Electron. Agric..

Characterization of Optical Coherence Tomography Images for Colon Lesion Differentiation under Deep Learning

Estíbaliz Garrote, A. Picón, Nagore Andraka, 2021 .

Unravelling the effect of data augmentation transformations in polyp segmentation

Luisa F. Sánchez-Peralta, Francisco M. Sánchez-Margallo, J. Blas Pagador, 2020, International Journal of Computer Assisted Radiology and Surgery.

Autofluorescence Image Reconstruction and Virtual Staining for In-Vivo Optical Biopsying

Domenico Alfieri, Riccardo Cicchi, Artzai Picon, 2021, IEEE Access.

Clinical Validation Benchmark Dataset and Expert Performance Baseline for Colorectal Polyp Localization Methods

F. Sánchez-Margallo, J. B. Pagador, L. F. Sánchez-Peralta, 2023, J. Imaging.

Fuzzy Spectral and Spatial Feature Integration for Classification of Nonferrous Materials in Hyperspectral Data

O. Ghita, P. Whelan, A. Picón, 2009, IEEE Transactions on Industrial Informatics.

Ladle Furnace Slag Characterization Through Hyperspectral Reflectance Regression Model for Secondary Metallurgy Process Optimization

Artzai Picon, Jorge Armentia, Sergio Rodriguez-Vaamonde, 2018, IEEE Transactions on Industrial Informatics.

Automation of waste recycling using hyperspectral image analysis

Paul F. Whelan, Ovidiu Ghita, Artzai Picón, 2010, 2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010).

Automatic slag characterization based on hyperspectral image processing

Artzai Picón, Pedro M. Iriondo, Arantza Bereciartua, 2010, 2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010).

Towards the ecological dredger

Sergio Raúl Rivera Rodríguez, Alberto Lago, Aritz Villodas, 2009 .

Damage assessment of soybean and redroot amaranth plants in greenhouse through biomass estimation and deep learning-based symptom classification

A. Picón, Ramón Navarra-Mestre, J. Echazarra, 2023, Smart Agricultural Technology.

Hyperspectral Dataset and Deep Learning methods for Waste from Electric and Electronic Equipment Identification (WEEE)

A. Picón, Pablo Galán, Arantza Bereciartúa-Pérez, 2024, ArXiv.

Analysis on the Characterization of Multiphoton Microscopy Images for Malignant Neoplastic Colon Lesion Detection under Deep Learning Methods

A. Picón, F. Pavone, Nagore Andraka, 2021, Journal of pathology informatics.