# Hugo J.W.L. Aerts

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/hugo-j-w-l-aerts/

## Facts

| Field | Value |
| --- | --- |
| Citations | 62,766 |
| Field | Radiomics and Machine Learning in Medical Imaging |
| h-index | 92 |
| i10-index | 226 |
| Last Known Institution | Brigham and Women's Hospital |
| OpenAlex ID | https://openalex.org/A5001452511 |
| ORCID iD | https://orcid.org/0000-0002-2122-2003 |
| Works | 571 |

## Researcher papers

- [Radiomics: Extracting more information from medical images using advanced feature analysis](https://scholariq.org/papers/radiomics-extracting-more-information-from-medical-images-using-advanced-feature/)
- [Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach](https://scholariq.org/papers/decoding-tumour-phenotype-by-noninvasive-imaging-using-a-quantitative-radiomics/)
- [Radiomics: the process and the challenges](https://scholariq.org/papers/radiomics-the-process-and-the-challenges/)
- [Stability of FDG-PET Radiomics features: An integrated analysis of test-retest and inter-observer variability](https://scholariq.org/papers/stability-of-fdg-pet-radiomics-features-an-integrated-analysis-of-test-retest/)
- [Predicting outcomes in radiation oncology—multifactorial decision support systems](https://scholariq.org/papers/predicting-outcomes-in-radiation-oncology-multifactorial-decision-support/)
- [Tracking early lung cancer metastatic dissemination in TRACERx using ctDNA](https://scholariq.org/papers/tracking-early-lung-cancer-metastatic-dissemination-in-tracerx-using-ctdna/)

## Researcher topics

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Lung Cancer Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-diagnosis-and-treatment/)
- [Medical Imaging Techniques and Applications](https://scholariq.org/topics/medical-imaging-techniques-and-applications/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

## Researcher university

- [Brigham and Women's Hospital](https://scholariq.org/institutions/brigham-and-women-s-hospital/)

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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.