NRF Basic Research Laboratory (BRL) grant (2021-2023, PI: Dr. Chang-su Kim, co-PIs: Drs. Jin Tae Kwak, Eenjun Hwang, and Yeong Jun Ko) awarded to "Order learning laboratory".
NRF mid-career research grant under the individual basic research program (2021-2025, PI: Dr. Jin Tae Kwak) awarded to "Artificial intelligence for multi-scale multi-level graph analysis in digital pathology image data".
QuIIL (Chang Hee Han) won the AI idea challenge for the application of bigdata in nervous disease. More
NRF research grant for international cooperation (2020-2022, PI: Dr. Jin Tae Kwak, Canadian Partner: Dr. Purang Ablomaesumi (UBC)) awarded to "Unsupervised artificial intelligence for heterogeneous medical data".
NRF research grant for promoting Korea-Canada research cooperation (2018-2020, PI: Dr. Jin Tae Kwak, Canadian Partners: Drs. Purang Ablomaesumi (UBC) and Parvin Mousavi (Queen's University)) awarded to "Improved Artificial Intelligence System for Real-time Detection and Diagnosis of Prostate Cancer".
News coverage of the 'Radiology-pathology correlation' paper in Radiology. More
IITP ICT R&D grant (2017-2018, co-PI: Dr. Jin Tae Kwak) awarded to "A development of bare ground orchard pest diagnosis/prescription platform".
NRF-MSIP early career grant (2016-2020, PI: Dr. Jin Tae Kwak) awarded to "Development of computational technologies to analyze magnetic resonance imaging and digital pathology imaging for improving prostate cancer diagnosis".
IPET grant (2016-2019, Participating Researcher: Dr. Jin Tae Kwak) awarded to "Development of ICT based surveillance system for Fusarium wilt of radish".
NIH Bench-to-Bedside grant (2015-2017, co-PI: Dr. Jin Tae Kwak) awarded to "Integrated planning, navigation, ablation and monitoring for prostate cancer". More
Analytical Scientist selects Scieintific Reports paper in "Landmark Literature: 2015". More