Seunghyun Lee
Inha University
Deep learningAlgorithmOphthalmologyMachine learningData miningGraph (abstract data type)ConvolutionArtificial intelligenceCode (cryptography)Pattern recognitionDistillationSingular value decompositionPrincipal component analysisObject detectionKnowledge transferMulti-task learningComputer visionComputer scienceEmbeddingComputationArtificial neural networkMedicineCluster analysisFeature (computer vision)Convolutional neural networkProcess (computing)
29Publications
5H-index
102Citations
Publications 28
Newest
#1Seunghyun Lee (Inha University)H-Index: 5
#2Dong Yoon Choi (Inha University)H-Index: 5
Last. Byung Cheol Song (Inha University)H-Index: 16
view all 3 authors...
Color demosaicing is a key image processing step aiming to reconstruct the missing pixels from a recorded raw image that has a color filter array (CFA) pattern. The color correlation–based guided filters, such as minimized-Laplacian residual interpolation (MLRI), are known as the state-of-the-art demosaicing techniques. However, in the conventional guided filter-based techniques, the artifacts are generated in areas with low color correlation. Furthermore, a large number of line memories are req...
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#1Jin-Min Kim (Inha University)H-Index: 1
#2Seunghyun Lee (Inha University)H-Index: 5
Last. Seung-Ik Ahn (Inha University)H-Index: 11
view all 6 authors...
BACKGROUND: Intrahepatic recurrence is the major cause of management failure after surgical resection of hepatocellular carcinoma (HCC). In the present study, we analysed intrahepatic recurrence by HCC distribution using Couinaud's liver segments. METHODS: Recurrence proximity levels were defined with respect to primary tumour locations from Level LR (locoregional) to Level IV. Initial and recurrent tumours were compared with segmental distribution of their locations, and recurrence proximity le...
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Sep 8, 2018 in ECCV (European Conference on Computer Vision)
#1Seunghyun Lee (Inha University)H-Index: 5
#2Dae Ha Kim (Inha University)H-Index: 5
Last. Byung Cheol Song (Inha University)H-Index: 16
view all 3 authors...
To solve deep neural network (DNN)’s huge training dataset and its high computation issue, so-called teacher-student (T-S) DNN which transfers the knowledge of T-DNN to S-DNN has been proposed. However, the existing T-S-DNN has limited range of use, and the knowledge of T-DNN is insufficiently transferred to S-DNN. To improve the quality of the transferred knowledge from T-DNN, we propose a new knowledge distillation using singular value decomposition (SVD). In addition, we define a knowledge tr...
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Jun 1, 2018 in CVPR (Computer Vision and Pattern Recognition)
#1Dae Ha Kim (Inha University)H-Index: 5
#2Seunghyun Lee (Inha University)H-Index: 5
Last. Byung Cheol Song (Inha University)H-Index: 16
view all 3 authors...
Deep neural networks perform better than traditional machine learning methods on various classification problems by producing good quality feature maps through successive convolution operation(s). However, when implementing a deep neural network in an embedded system or SoC for mobile devices, its large parameter size can be a significant burden on the internal memory design. In this paper, we propose a new deep neural network that reduces computation and the number of model parameters but maint...
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#1Tae Young Han (Inha University)H-Index: 3
#2Dae Ha Kim (Inha University)H-Index: 5
Last. Byung Cheol Song (Inha University)H-Index: 16
view all 4 authors...
Abstract Convolutional neural networks (CNN) have been successfully applied to visible image super-resolution (SR) methods. In this study, we propose a CNN-based SR algorithm for up-scaling near-infrared (NIR) images under low-light conditions, using corresponding visible images. Our algorithm first extracts high-frequency (HF) components from the up-scaled low-resolution (LR) NIR image and its corresponding high-resolution (HR) visible image, and then takes them as multiple inputs of the CNN. N...
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Purpose: To characterize the clinical and biological properties of biodegradable collagen matrices (BCMs) for possible glaucoma drainage device implantation. Methods: A total of 68 refractory glaucoma eyes, followed up postoperatively for at least 6 months, were consecutively enrolled after retrospective chart review. The BCM-augmented Ahmed valve implantations (BAAVI) using our Ologen-6 and Ologen-7 valves were performed and compared with a conventional method. Complete surgical success was def...
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