# Daniel Rueckert

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/daniel-rueckert/

## Facts

| Field | Value |
| --- | --- |
| Citations | 95,397 |
| Field | Medical Image Segmentation Techniques |
| h-index | 132 |
| i10-index | 693 |
| Last Known Institution | University Medical Center Utrecht |
| OpenAlex ID | https://openalex.org/A5006461848 |
| ORCID iD | https://orcid.org/0000-0002-5683-5889 |
| Works | 1,553 |

## Researcher papers

- [Automated cardiovascular magnetic resonance image analysis with fully convolutional networks](https://scholariq.org/papers/automated-cardiovascular-magnetic-resonance-image-analysis-with-fully/)
- [ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI](https://scholariq.org/papers/isles-2015-a-public-evaluation-benchmark-for-ischemic-stroke-lesion-segmentation/)
- [GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks](https://scholariq.org/papers/gan-augmentation-augmenting-training-data-using-generative-adversarial-networks/)
- [Differential diagnosis of neurodegenerative diseases using structural MRI data](https://scholariq.org/papers/differential-diagnosis-of-neurodegenerative-diseases-using-structural-mri-data/)

## Researcher topics

- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)
- [Advanced MRI Techniques and Applications](https://scholariq.org/topics/advanced-mri-techniques-and-applications/)
- [Medical Imaging Techniques and Applications](https://scholariq.org/topics/medical-imaging-techniques-and-applications/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Advanced Neuroimaging Techniques and Applications](https://scholariq.org/topics/advanced-neuroimaging-techniques-and-applications/)

## Researcher university

- [University Medical Center Utrecht](https://scholariq.org/institutions/university-medical-center-utrecht/)

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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.