# Multiparametric MRI dataset for susceptibility-based radiomic feature extraction and analysis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/multiparametric-mri-dataset-for-susceptibility-based-radiomic-feature-extraction/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Cristiana Fiscone,Giovanni Sighinolfi,David Neil Manners,Lorenzo Motta,Greta Venturi,Ivan Panzera,Fulvio Zaccagna,Leonardo Rundo,Alessandra Lugaresi,Raffaele Lodi,Caterina Tonon,Mauro Castelli |
| Citations | 15 |
| DOI | 10.1038/s41597-024-03418-6 |
| Fields | Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41597-024-03418-6.pdf |
| OpenAlex ID | https://openalex.org/W4399344660 |
| PMID | 38834674 |
| Type | data-paper |
| Year | 2024 |

## Paper authors

- [Lorenzo Motta](https://scholariq.org/researchers/lorenzo-motta/)

## Paper primary topic

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

## Paper topics

- [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/)
- [Bone and Joint Diseases](https://scholariq.org/topics/bone-and-joint-diseases/)

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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.