22 citations · 49 across the 3 of their papers we have counts for
3 papers
cs.CV2018★ 22 cited
Towards generative adversarial networks as a new paradigm for radiology education
Samuel G. Finlayson, Hyunkwang Lee, Isaac S. Kohane +1
Medical students and radiology trainees typically view thousands of images in order to "train their eye" to detect the subtle visual patterns necessary for diagnosis. Nevertheless,…
cs.CV2018★ 5 cited
Machine Friendly Machine Learning: Interpretation of Computed Tomography Without Image Reconstruction
Hyunkwang Lee, Chao Huang, Sehyo Yune +3
Recent advancements in deep learning for automated image processing and classification have accelerated many new applications for medical image analysis. However, most deep learnin…
cs.CV2018★ 22 cited
Practical Window Setting Optimization for Medical Image Deep Learning
Hyunkwang Lee, Myeongchan Kim, Synho Do
The recent advancements in deep learning have allowed for numerous applications in computed tomography (CT), with potential to improve diagnostic accuracy, speed of interpretation,…