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--- |
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title: CT-RATE Dataset |
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license: cc-by-nc-sa-4.0 |
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language: |
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- en |
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tags: |
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- chest-ct |
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- radiology |
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- science |
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- huggingscience |
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- 3d-medical-imaging |
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- medical |
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- ct-rate |
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- healthcare |
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- diagnostic-imaging |
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- computer-vision |
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- CBCT |
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- sparse-view |
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size_categories: |
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- 10K<n<100K |
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pretty_name: "sparse CT-RATE: pseudo CBCT volumes with sparse counterparts" |
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extra_gated_prompt: > |
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## Terms and Conditions for Using the CT-RATE Dataset |
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**1. Acceptance of Terms** |
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Accessing and using the sparse-CT-RATE dataset implies your agreement to these terms |
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and conditions. If you disagree with any part, please refrain from using the |
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dataset. |
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**2. Permitted Use** |
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- The dataset is intended solely for academic, research, and educational |
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purposes. |
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- Any commercial exploitation of the dataset without prior permission is |
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strictly forbidden. |
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- You must adhere to all relevant laws, regulations, and research ethics, |
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including data privacy and protection standards. |
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**3. Data Protection and Privacy** |
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- Acknowledge the presence of sensitive information within the dataset and |
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commit to maintaining data confidentiality. |
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- Direct attempts to re-identify individuals from the dataset are prohibited. |
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- Ensure compliance with data protection laws such as GDPR and HIPAA. |
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**4. Attribution** |
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- Cite the dataset and acknowledge the providers in any publications resulting |
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from its use. |
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- Claims of ownership or exclusive rights over the dataset or derivatives are |
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not permitted. |
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**5. Redistribution** |
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- Redistribution of the dataset or any portion thereof is not allowed. |
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- Sharing derived data must respect the privacy and confidentiality terms set |
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forth. |
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**6. Disclaimer** |
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The dataset is provided "as is" without warranty of any kind, either expressed |
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or implied, including but not limited to the accuracy or completeness of the |
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data. |
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**7. Limitation of Liability** |
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Under no circumstances will the dataset providers be liable for any claims or |
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damages resulting from your use of the dataset. |
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**8. Access Revocation** |
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Violation of these terms may result in the termination of your access to the |
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dataset. |
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**9. Amendments** |
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The terms and conditions may be updated at any time; continued use of the |
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dataset signifies acceptance of the new terms. |
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**10. Governing Law** |
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These terms are governed by the laws of the location of the dataset providers, |
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excluding conflict of law rules. |
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**Consent:** |
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Accessing and using the CT-RATE dataset signifies your acknowledgment and |
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agreement to these terms and conditions. |
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extra_gated_fields: |
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Name: text |
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Institution: text |
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Email: text |
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I have read and agree with Terms and Conditions for using the CT-RATE dataset: checkbox |
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--- |
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## License |
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We are committed to fostering innovation and collaboration in the research community. To this end, all elements of the sparse-CT-RATE dataset are released under a [Creative Commons Attribution (CC-BY-NC-SA) license](https://creativecommons.org/licenses/by-nc-sa/4.0/). This licensing framework ensures that our contributions can be freely used for non-commercial research purposes, while also encouraging contributions and modifications, provided that the original work is properly cited and any derivative works are shared under similar terms. |
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Citing |
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1. @misc{barco2025mindi3d, |
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title={MInDI-3D: Iterative Deep Learning in 3D for Sparse-view Cone Beam Computed Tomography}, |
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author={Daniel Barco and Marc Stadelmann and Martin Oswald and Ivo Herzig and Lukas Lichtensteiger and Pascal Paysan and others}, |
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year={2025}, |
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eprint={2508.09616}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CV}, |
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url={https://arxiv.org/abs/2508.09616}, |
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} |
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2. @misc{hamamci2024foundation, |
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title={Developing Generalist Foundation Models from a Multimodal Dataset for 3D Computed Tomography}, |
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author={Ibrahim Ethem Hamamci and Sezgin Er and Furkan Almas and Ayse Gulnihan Simsek and Sevval Nil Esirgun and Irem Dogan and Muhammed Furkan Dasdelen and Omer Faruk Durugol and Bastian Wittmann and Tamaz Amiranashvili and Enis Simsar and Mehmet Simsar and Emine Bensu Erdemir and Abdullah Alanbay and Anjany Sekuboyina and Berkan Lafci and Christian Bluethgen and Mehmet Kemal Ozdemir and Bjoern Menze}, |
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year={2024}, |
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eprint={2403.17834}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CV}, |
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url={https://arxiv.org/abs/2403.17834}, |
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} |
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