All individuals and groups are free to use the CHAVI de-identified dataset for their own research and development. It is imperative that you always refer to the website (https://chavi.ai/) and cite this article.
[1]. Kundu, Surajit, Santam Chakraborty, Jayanta Mukhopadhyay, Syamantak Das, Sanjoy Chatterjee, Rimpa Basu Achari, Indranil Mallick et al. "Design and Development of a Medical Image Databank for Assisting Studies in Radiomics." Journal of Digital Imaging (2022): 1-16.
In addition to this, you may also cite the following manuscripts related to data de-identification and organization.
[2]. Kundu, Surajit, Santam Chakraborty, Sanjoy Chatterjee, Syamantak Das, Rimpa Basu Achari, Jayanta Mukhopadhyay, Partha Pratim Das et al. "De-identification of Radiomics data retaining longitudinal temporal information." Journal of medical systems 44, no. 5 (2020): 1-15.
[3]. Kundu, Surajit, Santam Chakraborty, Jayanta Mukhopadhyay, Syamantak Das, Sanjoy Chatterjee, Rimpa Basu Achari, Indranil Mallick et al. "Research goal-driven data model and harmonization for de-identifying patient data in radiomics." Journal of Digital Imaging 34, no. 4 (2021): 986-1004.