Funding History
NEWSLETTER
May 2023 - May 2028Sustained Support for Informatics Technologies for Cancer Research and Management (U24)
National Cancer Institute, Informatics Technology for Cancer Research (ITCR)
The main goals of our project are to enhance the OHIF platform by incorporating advanced imaging features and user-focused workflows for the cancer research community. We also aim to simplify the software installation process for both on-premises and cloud-hosted instances, making it more user-friendly. Additionally, we plan to expand our community support resources and centralize design documentation in a quality management system, providing researchers with a solid foundation for commercialization efforts.
NEWSLETTER
September 2022 - September 2024Essential Open Source Software for Science (EOSS 5)
Chan Zuckerberg Initiative
To develop, upgrade, and migrate documentation; perform software maintenance; and provide community support for the Open Health Imaging Foundation web-based medical imaging framework.
NEWSLETTER
January 2021 - January 2023Diversity and Inclusion (D&I)
Chan Zuckerberg Initiative
To partner with Hack.Diversity to serve as curriculum designers and mentors, equipping their Fellows to contribute to open source scientific software, as well as mentor existing global OHIF contributors.
NEWSLETTER
December 2020 - December 2021Essential Open Source Software for Science (EOSS 3)
Chan Zuckerberg Initiative
To develop training materials, perform software maintenance, expand outreach, and provide community support for the Open Health Imaging Foundation (OHIF) web-based medical imaging framework including its underlying libraries (e.g., Cornerstone).
NEWSLETTER
September 2015 - August 2020Advanced Development of Informatics Technologies for Cancer Research and Management (U24)
National Cancer Institute, Informatics Technology for Cancer Research (ITCR)
To create a vendor-neutral, extensible, zero-footprint HTML5 image viewer for web browser–based display and analysis of imaging studies, optimized for oncology clinical trial workflows.
Funding History
NEWSLETTER
May 2023 - May 2028Sustained Support for Informatics Technologies for Cancer Research and Management (U24)
National Cancer Institute, Informatics Technology for Cancer Research (ITCR)
The main goals of our project are to enhance the OHIF platform by incorporating advanced imaging features and user-focused workflows for the cancer research community. We also aim to simplify the software installation process for both on-premises and cloud-hosted instances, making it more user-friendly. Additionally, we plan to expand our community support resources and centralize design documentation in a quality management system, providing researchers with a solid foundation for commercialization efforts.
NEWSLETTER
September 2022 - September 2024Essential Open Source Software for Science (EOSS 5)
Chan Zuckerberg Initiative
To develop, upgrade, and migrate documentation; perform software maintenance; and provide community support for the Open Health Imaging Foundation web-based medical imaging framework.
NEWSLETTER
January 2021 - January 2023Diversity and Inclusion (D&I)
Chan Zuckerberg Initiative
To partner with Hack.Diversity to serve as curriculum designers and mentors, equipping their Fellows to contribute to open source scientific software, as well as mentor existing global OHIF contributors.
NEWSLETTER
December 2020 - December 2021Essential Open Source Software for Science (EOSS 3)
Chan Zuckerberg Initiative
To develop training materials, perform software maintenance, expand outreach, and provide community support for the Open Health Imaging Foundation (OHIF) web-based medical imaging framework including its underlying libraries (e.g., Cornerstone).
NEWSLETTER
September 2015 - August 2020Advanced Development of Informatics Technologies for Cancer Research and Management (U24)
National Cancer Institute, Informatics Technology for Cancer Research (ITCR)
To create a vendor-neutral, extensible, zero-footprint HTML5 image viewer for web browser–based display and analysis of imaging studies, optimized for oncology clinical trial workflows.