The Co-clinical Imaging Research Resource has published a series of datasets for use in the imaging community. All datasets are available on the Co-Clinical Database (CCDB) following publication of articles describing the dataset and the underlying effort. A valid login and acceptance of the Co-Clinical Imaging Resource Program (CIRP) Resource Sharing Policy is required to access data.
To apply for a CCDB login, please use our Contact Form.
Data Use Terms
Use of the WU-C2IR2 datasets acknowledges an agreement to the CIRP Resource Sharing Policy.
Available Datasets
- Test-Retest Performance of a 1-Hour Multiparametric MR Image Acquisition Pipeline With Orthotopic Triple-Negative Breast Cancer Patient-Derived Tumor Xenografts. Ge et al., Tomography 2019. A summary of the animal IDs, groups, and study design is available through this link.
- Preclinical PERCIST and 25% of SUV max Threshold: Precision Imaging of Response to Therapy in Co-clinical 18 F-FDG PET Imaging of Triple-Negative Breast Cancer Patient-Derived Tumor Xenografts. Savaikar et al., J Nuc Med 2020. A summary of the animal IDs, groups, and study design is available through this link.
- Optimal co-clinical radiomics: Sensitivity of radiomic features to tumour volume, image noise and resolution in co-clinical T1-weighted and T2-weighted magnetic resonance imaging. Roy ey a., LANCET eBioMedicine 2020. A summary of the animal IDs, groups, and study design is available through this link.
- Deep Learning Segmentation of Triple-Negative Breast Cancer (TNBC) Patient Derived Tumor Xenograft (PDX) and Sensitivity of Radiomic Pipeline to Tumor Probability Boundary. Dutta et al., Cancers 2021. A summary of the animal IDs, groups, and study design is available through this link.