# Iñaki Soto‐Rey

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/inaki-soto-rey/

## Facts

| Field | Value |
| --- | --- |
| Citations | 1,638 |
| Field | Radiomics and Machine Learning in Medical Imaging |
| h-index | 14 |
| i10-index | 18 |
| Last Known Institution | University Hospital Augsburg |
| OpenAlex ID | https://openalex.org/A5045634598 |
| ORCID iD | 0000-0003-3061-5818 |
| Works | 53 |

## Researcher papers

- [Towards a guideline for evaluation metrics in medical image segmentation](https://scholariq.org/papers/towards-a-guideline-for-evaluation-metrics-in-medical-image-segmentation/)
- [European academy of dermatology and venereology European prurigo project: expert consensus on the definition, classification and terminology of chronic prurigo](https://scholariq.org/papers/european-academy-of-dermatology-and-venereology-european-prurigo-project-expert/)
- [An Analysis on Ensemble Learning Optimized Medical Image Classification With Deep Convolutional Neural Networks](https://scholariq.org/papers/an-analysis-on-ensemble-learning-optimized-medical-image-classification-with/)
- [Robust chest CT image segmentation of COVID-19 lung infection based on limited data](https://scholariq.org/papers/robust-chest-ct-image-segmentation-of-covid-19-lung-infection-based-on-limited/)
- [Humanistic burden of chronic pruritus in patients with inflammatory dermatoses: Results of the European Academy of Dermatology and Venereology Network on Assessment of Severity and Burden of Pruritus (PruNet) cross-sectional trial](https://scholariq.org/papers/humanistic-burden-of-chronic-pruritus-in-patients-with-inflammatory-dermatoses/)
- [Pruritus Intensity Scales across Europe: a prospective validation study](https://scholariq.org/papers/pruritus-intensity-scales-across-europe-a-prospective-validation-study/)
- [Cross‐European validation of the ItchyQoL in pruritic dermatoses](https://scholariq.org/papers/cross-european-validation-of-the-itchyqol-in-pruritic-dermatoses/)
- [European <scp>EADV</scp> network on assessment of severity and burden of Pruritus (PruNet): first meeting on outcome tools](https://scholariq.org/papers/european-scp-eadv-scp-network-on-assessment-of-severity-and-burden-of-pruritus/)
- [Automated Chest CT Image Segmentation of COVID-19 Lung Infection based on 3D U-Net](https://scholariq.org/papers/automated-chest-ct-image-segmentation-of-covid-19-lung-infection-based-on-3d-u/)
- [Multi-Disease Detection in Retinal Imaging Based on Ensembling Heterogeneous Deep Learning Models](https://scholariq.org/papers/multi-disease-detection-in-retinal-imaging-based-on-ensembling-heterogeneous/)
- [Do explainable <scp>AI</scp> (<scp>XAI</scp>) methods improve the acceptance of <scp>AI</scp> in clinical practice? An evaluation of <scp>XAI</scp> methods on Gleason grading](https://scholariq.org/papers/do-explainable-scp-ai-scp-scp-xai-scp-methods-improve-the-acceptance-of-scp-ai/)

## Researcher topics

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Dermatology and Skin Diseases](https://scholariq.org/topics/dermatology-and-skin-diseases/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

## Researcher university

- [University Hospital Augsburg](https://scholariq.org/institutions/university-hospital-augsburg/)

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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.