# Alfonso Medela

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/alfonso-medela/

## Facts

| Field | Value |
| --- | --- |
| Citations | 649 |
| Field | Cutaneous Melanoma Detection and Management |
| h-index | 10 |
| i10-index | 10 |
| Last Known Institution | Andalusian Health Service |
| OpenAlex ID | https://openalex.org/A5048242893 |
| ORCID iD | 0000-0001-5859-5439 |
| Works | 32 |

## Researcher papers

- [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/)
- [Few Shot Learning in Histopathological Images:Reducing the Need of Labeled Data on Biological Datasets](https://scholariq.org/papers/few-shot-learning-in-histopathological-images-reducing-the-need-of-labeled-data/)
- [Automatic SCOring of Atopic Dermatitis Using Deep Learning: A Pilot Study](https://scholariq.org/papers/automatic-scoring-of-atopic-dermatitis-using-deep-learning-a-pilot-study/)
- [Automatic International Hidradenitis Suppurativa Severity Score System (AIHS4): A novel tool to assess the severity of hidradenitis suppurativa using artificial intelligence](https://scholariq.org/papers/automatic-international-hidradenitis-suppurativa-severity-score-system-aihs4-a/)
- [Constellation Loss: Improving the Efficiency of Deep Metric Learning Loss Functions for the Optimal Embedding of histopathological images](https://scholariq.org/papers/constellation-loss-improving-the-efficiency-of-deep-metric-learning-loss/)
- [Autofluorescence Image Reconstruction and Virtual Staining for In-Vivo Optical Biopsying](https://scholariq.org/papers/autofluorescence-image-reconstruction-and-virtual-staining-for-in-vivo-optical/)
- [Machine Learning Algorithms as a Computer-Assisted Decision Tool for Oral Cancer Prognosis and Management Decisions: A Systematic Review](https://scholariq.org/papers/machine-learning-algorithms-as-a-computer-assisted-decision-tool-for-oral-cancer/)
- [Biomedical image analysis competitions: The state of current participation practice](https://scholariq.org/papers/biomedical-image-analysis-competitions-the-state-of-current-participation/)
- [Machine Learning Models for Predicting Facial Nerve Palsy in Parotid Gland Surgery for Benign Tumors](https://scholariq.org/papers/machine-learning-models-for-predicting-facial-nerve-palsy-in-parotid-gland/)
- [Automatic Urticaria Activity Score: Deep Learning–Based Automatic Hive Counting for Urticaria Severity Assessment](https://scholariq.org/papers/automatic-urticaria-activity-score-deep-learning-based-automatic-hive-counting/)

## Researcher topics

- [Cutaneous Melanoma Detection and Management](https://scholariq.org/topics/cutaneous-melanoma-detection-and-management/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Dermatology and Skin Diseases](https://scholariq.org/topics/dermatology-and-skin-diseases/)
- [Psoriasis: Treatment and Pathogenesis](https://scholariq.org/topics/psoriasis-treatment-and-pathogenesis/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

## Researcher university

- [Andalusian Health Service](https://scholariq.org/institutions/andalusian-health-service/)

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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.