Translating color fundus photography to indocyanine green angiography using deep-learning for age-related macular degeneration screening.

"the code for deep learning model development can be accessed at https://github com/nvidia/pix2pixhd )."

"Competing interests M.H. and D.S. are inventors of the technology mentioned in the study patented as “A method to translate fundus photography to realistic angiography” (CN115272255A). All other authors declare no financial or non-financial competing interests."

"Danli Shi and Mingguang He disclose support for the research and publication of this work from the Start-up Fund for RAPs under the Strategic Hiring Scheme (Grant Number: P0048623) and the Global STEM Professorship Scheme (Grant Number: P0046113) from HKSAR. Yingfeng Zheng discloses support from the National Natural Science Foundation of China (Grant Number: 82171034). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript."