# Aitor Álvarez-Gila

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/aitor-alvarez-gila/

## Facts

| Field | Value |
| --- | --- |
| Citations | 3,097 |
| Field | Advanced Neural Network Applications |
| h-index | 11 |
| i10-index | 11 |
| Last Known Institution | Euskadiko Parke Teknologikoa |
| OpenAlex ID | https://openalex.org/A5059837067 |
| ORCID iD | 0000-0002-5955-3211 |
| Works | 28 |

## Researcher papers

- [Automatic Red-Channel underwater image restoration](https://scholariq.org/papers/automatic-red-channel-underwater-image-restoration/)
- [Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild](https://scholariq.org/papers/deep-convolutional-neural-networks-for-mobile-capture-device-based-crop-disease/)
- [Automatic plant disease diagnosis using mobile capture devices, applied on a wheat use case](https://scholariq.org/papers/automatic-plant-disease-diagnosis-using-mobile-capture-devices-applied-on-a/)
- [Few-Shot Learning approach for plant disease classification using images taken in the field](https://scholariq.org/papers/few-shot-learning-approach-for-plant-disease-classification-using-images-taken/)
- [Crop conditional Convolutional Neural Networks for massive multi-crop plant disease classification over cell phone acquired images taken on real field conditions](https://scholariq.org/papers/crop-conditional-convolutional-neural-networks-for-massive-multi-crop-plant/)
- [NTIRE 2018 Challenge on Image Dehazing: Methods and Results](https://scholariq.org/papers/ntire-2018-challenge-on-image-dehazing-methods-and-results/)
- [Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB](https://scholariq.org/papers/adversarial-networks-for-spatial-context-aware-spectral-image-reconstruction/)
- [NTIRE 2018 Challenge on Spectral Reconstruction from RGB Images](https://scholariq.org/papers/ntire-2018-challenge-on-spectral-reconstruction-from-rgb-images/)
- [Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia](https://scholariq.org/papers/mixed-convolutional-and-long-short-term-memory-network-for-the-detection-of/)
- [Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis](https://scholariq.org/papers/data-driven-color-augmentation-techniques-for-deep-skin-image-analysis/)

## Researcher topics

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Image Enhancement Techniques](https://scholariq.org/topics/image-enhancement-techniques/)
- [Advanced Image Fusion Techniques](https://scholariq.org/topics/advanced-image-fusion-techniques/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

## Researcher university

- [Euskadiko Parke Teknologikoa](https://scholariq.org/institutions/euskadiko-parke-teknologikoa/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.