# Matthew P. Lungren

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/matthew-p-lungren/

## Facts

| Field | Value |
| --- | --- |
| Citations | 23,809 |
| Field | Radiomics and Machine Learning in Medical Imaging |
| h-index | 61 |
| i10-index | 136 |
| Last Known Institution | Microsoft (United States) |
| OpenAlex ID | https://openalex.org/A5038969629 |
| ORCID iD | https://orcid.org/0000-0002-8591-5861 |
| Works | 224 |

## Researcher papers

- [Self-supervised learning for medical image classification: a systematic review and implementation guidelines](https://scholariq.org/papers/self-supervised-learning-for-medical-image-classification-a-systematic-review/)
- [GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition](https://scholariq.org/papers/gloria-a-multimodal-global-local-representation-learning-framework-for-label/)
- [Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials](https://scholariq.org/papers/prostate-cancer-therapy-personalization-via-multi-modal-deep-learning-on/)
- [Automated coronary calcium scoring using deep learning with multicenter external validation](https://scholariq.org/papers/automated-coronary-calcium-scoring-using-deep-learning-with-multicenter-external/)

## Researcher topics

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [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/)
- [Radiology practices and education](https://scholariq.org/topics/radiology-practices-and-education/)

## Researcher university

- [Microsoft (United States)](https://scholariq.org/institutions/microsoft-united-states/)

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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.