DoseRAD2026: Multimodal Radiotherapy Dose Calculation Dataset

DoseRAD2026 is a large-scale, multimodal dataset for radiotherapy research, created by LMUK-RADONC-PHYS-RES. It is designed to support the development and benchmarking of fast and accurate radiation dose calculation and prediction methods. The dataset was last updated on April 17, -2026.

Use Cases

• Benchmarking dose calculation algorithms based on paired CT and MRI scans.
• Developing predictive models for radiation dose distribution based on beam configuration parameters.
• Training multimodal AI systems for treatment planning using Monte Carlo–simulated dose data.

Strengths

• Designed as a large-scale dataset to support method development and benchmarking.
• Includes multimodal medical imaging data (paired CT and MRI scans).
• Contains simulated dose distributions for both photon and proton beam types.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file formats are unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

LMUK-RADONC-PHYS-RES

Collection Method

Likely contains clinical scans and Monte Carlo simulations.

Time Range

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Freshness

Last updated 2026-04-17 13:09:47; freshness should be verified.

Geography

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