Global-Leading Research and Education in Brain and Cognitive engineering KOREA UNIVERSITY To understand the structure and the key principles of high-order information processing by which brains work,
and to implement these in artificial systems that interact intelligently with real world

Research Highlight

Research
Prof.Jae-Ho Han’s paper accepted in IEEE Transactions on Image Processing
Author Administrator (IP: *.152.74.116) Date 2019-07-24 10:18 Views 74
원본사진보기

Prof. Jae-Ho Han’s new research on `Deep Neural Network Regression for Automated Retinal Layer Segmentation in Optical Coherence Tomography Images` was accepted in IEEE Transactions on Image Processing.  

Title: Deep Neural Network Regression for Automated Retinal Layer Segmentation in Optical Coherence Tomography Images

Abstract: Segmenting the retinal layers in optical coherence tomography (OCT) images helps to quantify the layer information in early diagnosis of retinal diseases, which are the main cause of permanent blindness. Thus, the segmentation process plays a critical role in preventing vision impairment. However, because there is a lack of practical automated techniques, expert ophthalmologists still have to manually segment the retinal layers. In this study, we propose an automated segmentation method for OCT images based on a feature-learning regression network without human bias. The proposed deep neural network regression takes the intensity, gradient, and adaptive normalized intensity score (ANIS) of an image segment as features for learning, and then predicts the corresponding retinal boundary pixel. Reformulating the segmentation as a regression problem obviates the need for a huge dataset and reduces the complexity significantly, as shown in the analysis of computational complexity given here. In addition, assisted by ANIS, the method operates robustly on OCT images containing intensity variances, low-contrast regions, speckle noise, and blood vessels, yet remains accurate and time-efficient. In evaluation of the method conducted using 114 images, the processing time was approximately 10.596 s per image for identifying eight boundaries, and the training phase for each boundary line took only 30 s. Further, the Dice similarity coefficient used for assessing accuracy gave a computed value of approximately 0.966. The absolute pixel distance of manual and automatic segmentation using the proposed scheme was 0.612, which is less than a one-pixel difference, on average.
File 5cca4e9c698b4.gif(10.9K)


Research
Prof. Heung-Il Suk's paper accepted in NeuroImage
Prof. Heung-Il Suk's paper accepted in NeuroImage
Prof. Heung-Il Suk's research paper, 'Toward an Interpretable Alzheimer's Disease Diagnostic Model with Regional Abnormality Representation via Deep Learning' was accepted in NeuroImage.  Title: Toward an Interpretable Alzheimer's Disease Diagnostic Model with Regional Abnormality Representation via Deep Learning  Abstract: In this paper, we propose a novel method for magnetic resonance imaging based Alzheimer's disease (…

2019-08-20

Prof.Jae-Ho Han’s paper accepted in IEEE Transactions on Image Processing
Prof.Jae-Ho Han’s paper accepted in IEEE Transactions on Image Processing
Prof. Jae-Ho Han’s new research on `Deep Neural Network Regression for Automated Retinal Layer Segmentation in Optical Coherence Tomography Images` was accepted in IEEE Transactions on Image Processing.  Title: Deep Neural Network Regression for Automated Retinal Layer Segmentation in Optical Coherence Tomography ImagesAbstract: Segmenting the retinal layers in optical coherence tomography (OCT) images helps to quantify the …

2019-07-24

Prof. Seong-Whan Lee's paper accepted in IEEE Transactions on Intelligent Transportation Systems
Prof. Seong-Whan Lee's paper accepted in IEEE Transactions on Intelligent Transp…
Prof. Seong-Whan Lee's new research, Coarse-to-Fine Deep Learning of Continuous Pedestrian Orientation Based on Spatial Co-occurrence Feature was accepted in IEEE Transactions on Intelligent Transportation Systems. Title: 'Coarse-to-Fine Deep Learning of Continuous Pedestrian Orientation Based on Spatial Co-occurrence Feature Abstract: The continuous orientation estimation of a moving pedestrian is a crucial issue in auto…

2019-05-02

Prof. Heung-Il Suk's paper accepted in Neural Networks
Prof. Heung-Il Suk's paper accepted in Neural Networks
Prof. Heung-Il Suk's research paper, 'Multi-Scale Gradual Integration CNN for False Positive Reduction in Pulmonary Nodule Detection' was accepted in Neural Networks.   Title: Multi-Scale Gradual Integration CNN for False Positive Reduction in Pulmonary Nodule Detection Abstract: Lung cancer is a global and dangerous disease, and its early detection is crucial for reducing the risks of mortality. In this regard, it has been o…

2019-03-07

Prof. Christian Wallraven's paper accepted in IEEE Transactions on Visualization and Computer Graphics
Prof. Christian Wallraven's paper accepted in IEEE Transactions on Visualization…
Prof. Christian Wallraven's research paper, 'You or me? Personality Traits Predict Sacrificial Decisions in an Accident Situation' was accepted in IEEE Transactions on Visualization and Computer Graphics. Title : You or me? Personality Traits Predict Sacrificial Decisions in an Accident SituationAbstract : Emergency situations during car driving sometimes force the driver to make a sudden decision. Predicting these decisions will have i…

2019-03-04

Prof. Dong-Joo Kim's paper accepted in Journal of Neurosurgery
Prof. Dong-Joo Kim's paper accepted in Journal of Neurosurgery
Prof. Dong-Joo Kim's research paper, Artifact removal from neurophysiological signals: impact on intracranial and arterial pressure monitoring in traumatic brain injury was accepted in Journal of Neurosurgery. Title: Artifact removal from neurophysiological signals: impact on intracranial and arterial pressure monitoring in traumatic brain injury Abstract:OBJECTIVE Monitoring intracranial and arterial blood pressure (ICP and ABP, r…

2019-02-28

Prof. Dong-Joo Kim's paper accepted in Journal of Neurosurgery
Prof. Dong-Joo Kim's paper accepted in Journal of Neurosurgery
Prof. Dong-Joo Kim's research paper, Novel index for predicting mortality during the first 24 hours after traumatic brain injury was accepted in Journal of Neurosurgery.Title: Novel index for predicting mortality during the first 24 hours after traumatic brain injuryAbstract:OBJECTIVE Failure of cerebral autoregulation and subsequent hypoperfusion is common during the acute phase of traumatic brain injury (TBI). The cerebrovascular pres…

2019-02-28

Prof. Dong-Joo Kim's paper accepted in Journal of Neurosurgery
Prof. Dong-Joo Kim's paper accepted in Journal of Neurosurgery
Prof. Dong-Joo Kim's research paper , Changes in the gray and white matter of patients with ischemic-edematous insults after traumatic brain injury was accepted in Journal of Neurosurgery. Title: Changes in the gray and white matter of patients with ischemic-edematous insults after traumatic brain injury Abstract:OBJECTIVE Gray matter (GM) and white matter (WM) are vulnerable to ischemic-edematous insults after traumatic brain…

2019-02-28

Prof. Dong-Joo Kim's paper accepted in Information Sciences
Prof. Dong-Joo Kim's paper accepted in Information Sciences
Prof. Dong-Joo Kim's research paper, Automated artifact elimination of physiological signals using a deep belief network: An application for continuously measured arterial blood pressure waveformswas accepted in Information Sciences. Title: Automated artifact elimination of physiological signals using a deep belief network: An application for continuously measured arterial blood pressure waveforms Abstract:Artifacts in physiological sig…

2019-02-28

Prof. Christian Wallraven's paper accepted in Neuroimage
Prof. Christian Wallraven's paper accepted in Neuroimage
Prof. Christian Wallraven's research paper, Manipulating and decoding subjective gaming experience during active gameplay: a multivariate, whole-brain analysis was accepted in NeuroImage.Title: Manipulating and decoding subjective gaming experience during active gameplay: a multivariate, whole-brain analysisAbstract: A large number of perceptual and cognitive processes are instantiated during active gameplay, culminating in what is term…

2018-12-11

1 2 3 4 5 6 7 8