Hee Jong Ki on Muck Rack

Hee Jong Ki

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Clinical feasibility of deep learning-driven magnetic resonance angiography collateral map in acute anterior circulation ischemic stroke - Scientific Reports

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By Ye Jin Jeon, Hong Gee Roh, Sumin Jung, Hyun Ji Yang, Hee Jong Ki, Jeong Park Verified, Taek-Jun Lee, Ji Sung Lee, Jin Tae Kwak
| Nature Verified
Abstract To validate the clinical feasibility of deep learning-driven magnetic resonance angiography (DL-driven MRA) collateral map in acute ischemic stroke. We employed a 3D multitask regression and ordinal regression deep neural network, called as 3D-MROD-Net, to generate DL-driven MRA collateral maps. Two raters graded the collateral perfusion scores of both conventional and DL-driven MRA collateral maps and measured the grading time.
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