204 citations · 336 across the 4 of their papers we have counts for
4 papers
TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes
Tae Joon Jun, Youngsub Eom, Dohyeun Kim +4
In this paper, we proposed Transferable Ranking Convolutional Neural Network (TRk-CNN) that can be effectively applied when the classes of images to be classified show a high corre…
T-Net: Nested encoder-decoder architecture for the main vessel segmentation in coronary angiography
Tae Joon Jun, Jihoon Kweon, Young-Hak Kim +1
In this paper, we proposed T-Net containing a small encoder-decoder inside the encoder-decoder structure (EDiED). T-Net overcomes the limitation that U-Net can only have a single s…
Automated detection of vulnerable plaque in intravascular ultrasound images
Tae Joon Jun, Soo-Jin Kang, June-Goo Lee +6
Acute Coronary Syndrome (ACS) is a syndrome caused by a decrease in blood flow in the coronary arteries. The ACS is usually related to coronary thrombosis and is primarily caused b…
ECG arrhythmia classification using a 2-D convolutional neural network
Tae Joon Jun, Hoang Minh Nguyen, Daeyoun Kang +3
In this paper, we propose an effective electrocardiogram (ECG) arrhythmia classification method using a deep two-dimensional convolutional neural network (CNN) which recently shows…