23 citations · 28 across the 3 of their papers we have counts for
3 papers
eess.IV2021★ 1 cited
Unsupervised Anomaly Detection in MR Images using Multi-Contrast Information
Byungjai Kim, Kinam Kwon, Changheun Oh +1
Anomaly detection in medical imaging is to distinguish the relevant biomarkers of diseases from those of normal tissues. Deep supervised learning methods have shown potentials in v…
eess.IV2020★ 23 cited
Synthesis of Brain Tumor MR Images for Learning Data Augmentation
Sunho Kim, Byungjai Kim, HyunWook Park
Medical image analysis using deep neural networks has been actively studied. Deep neural networks are trained by learning data. For accurate training of deep neural networks, the l…
eess.IV2019★ 4 cited
Attention Guided Metal Artifact Correction in MRI using Deep Neural Networks
Jee Won Kim, Kinam Kwon, Byungjai Kim +1
An attention guided scheme for metal artifact correction in MRI using deep neural network is proposed in this paper. The inputs of the networks are two distorted images obtained wi…