BioRes (Biomedical Engineering and Resuscitation) - GIC 21/059
Basque Research and Technology Alliance
Mendaro, EspañaPublicaciones en colaboración con investigadoras/es de Basque Research and Technology Alliance (13)
2023
-
Clinical Validation Benchmark Dataset and Expert Performance Baseline for Colorectal Polyp Localization Methods
Journal of Imaging, Vol. 9, Núm. 9
-
Damage assessment of soybean and redroot amaranth plants in greenhouse through biomass estimation and deep learning-based symptom classification
Smart Agricultural Technology, Vol. 5
-
Multiclass insect counting through deep learning-based density maps estimation
Smart Agricultural Technology, Vol. 3
2022
-
Analysis of Few-Shot Techniques for Fungal Plant Disease Classification and Evaluation of Clustering Capabilities Over Real Datasets
Frontiers in Plant Science, Vol. 13
-
Deep convolutional neural network for damaged vegetation segmentation from RGB images based on virtual NIR-channel estimation
Artificial Intelligence in Agriculture, Vol. 6, pp. 199-210
-
Deep learning-based segmentation of multiple species of weeds and corn crop using synthetic and real image datasets
Computers and Electronics in Agriculture, Vol. 194
-
Insect counting through deep learning-based density maps estimation
Computers and Electronics in Agriculture, Vol. 197
2021
-
Analysis on the Characterization of Multiphoton Microscopy Images for Malignant Neoplastic Colon Lesion Detection under Deep Learning Methods
Journal of Pathology Informatics, Vol. 12, Núm. 1
-
Characterization of optical coherence tomography images for colon lesion differentiation under deep learning
Applied Sciences (Switzerland), Vol. 11, Núm. 7
-
Mri deep learning-based solution for alzheimer’s disease prediction
Journal of Personalized Medicine, Vol. 11, Núm. 9
2020
-
Eigenloss: Combined PCA-based loss function for polyp segmentation
Mathematics, Vol. 8, Núm. 8
-
Few-Shot Learning approach for plant disease classification using images taken in the field
Computers and Electronics in Agriculture, Vol. 175
-
Piccolo white-light and narrow-band imaging colonoscopic dataset: A performance comparative of models and datasets
Applied Sciences (Switzerland), Vol. 10, Núm. 23, pp. 1-14