• Maxillofacial Plastic and Reconstructive Surgery
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• v.27 no.3
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• pp.248-258
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• 2005

The challenging task of classifying the fibro-osseous(FO) lesions has been previously attempted but only in the past 15 years has the entire spectrum of diversity been appreciated. For the clinicians, it is hard to clearly diagnose the lesions before operations. The purpose of this study was to review the literature about fibro-osseous lesions of the jaws and to analyse our clinical cases. As the results of the review of clinical features, radiography and histopathologic findings of sixteen cases of fibro-osseous lesions, we could elucidate diagnostic aids for treatment of benign FO lesion in jaws. Six patients involving fibrous dysplasia complained the facial swelling and facial asymmetry. The radiographic features of the lesions showed ground-glass radiopacity mostly and the histologic findings showed typically Chinese character-shaped trabeculae without osteoblastic rimming in the fibrous stroma. Six patients with ossifying fibroma were notified as swollen buccal cheek state. Their radiographic findings showed cortical expanded radiolucent lesion with sclerotic defined border, which was contrast to the normal adjacent bone. The lesions showed variant radiolucent lesions. Histological findings were revealed as cellular fibrous stroma with woven bones, variable patterns of calcifications. Three patients with cemental dysplasia didn't have specific complaints. Well circumscribed radiopaque lesions on mandibular molar area were observed. Cementum-like ossicles with fibrous stroma were found on microscopic findings. A osteoblastoma case with jaw pain was found. The radiographic feature was a mottled, dense radiopacity with osteolytic border on mandibular molar area. Under microscopy trabecule of osteoid with vascular network were predominantly found. Numerous osteoblast cells with woven bone were found. These clinical, radiographic and microscopic findings of benign fibrous-osseous lesions would suggest diagnostic criteria for each entity of FO lesions.

• Journal of KIISE:Software and Applications
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• v.35 no.10
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• pp.616-626
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• 2008

The face shape extracted by the depth values has different appearance as the most important facial feature information and the face images decomposed into frequency subband are signified personal features in detail. In this paper, we develop a method for recognizing the range face images by combining the multiple frequency domains for each depth image and depth fusion using fuzzy integral. For the proposed approach, the first step tries to find the nose tip that has a protrusion shape on the face from the extracted face area. It is used as the reference point to normalize for orientated facial pose and extract multiple areas by the depth threshold values. In the second step, we adopt as features for the authentication problem the wavelet coefficient extracted from some wavelet subband to use feature information. The third step of approach concerns the application of eigenface and Linear Discriminant Analysis (LDA) method to reduce the dimension and classify. In the last step, the aggregation of the individual classifiers using the fuzzy integral is explained for extracted coefficient at each resolution level. In the experimental results, using the depth threshold value 60 (DT60) show the highest recognition rate among the regions, and the depth fusion method achieves 98.6% recognition rate, incase of fuzzy integral.

• Journal of the korean academy of Pediatric Dentistry
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• v.28 no.1
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• pp.166-170
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• 2001

Rubinstein-Tabyi syndrome(RTS) is a congenital multisystem dysmorphic syndrome with many non-specific features, making diagnosis occasionally difficult. The major features of this syndrome include mental retardation, characteristic facial appearance, short stature, microcephaly, and broad thumbs and halluces. This syndrome was first described by Rubinstein and Tabyi in 1963, and many studies have been continued about this syndrome, but specific pathogenesis of the Rubinstein-Tabyi syndrome phenotype is still not clear. High arched palate, micrognathia and multiple caries etc have been reported in Rubinstein-Tabyi syndrome. In this report, a 6-year and 5-month-old boy visited at our department due to multiple dental caries, who showed broad thumbs, mental and physical development retardation, and characteristic facial appearance including both ptosis and ear deformity. This patient was diagnosed as a Rubinstein-Tabyi syndrome, and treated the multiple dental caries under general anesthesia. This study was aimed to observe the relationship between medical and dental characteristics.

• Clinical and Experimental Pediatrics
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• v.58 no.7
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• pp.256-262
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• 2015

Purpose: Kabuki syndrome is a multiple congenital malformation syndrome, with characteristic facial features, mental retardation, and skeletal and congenital heart anomalies. However, the cardiac anomalies are not well described in the Korean population. We analyzed the cardiac anomalies and clinical features of Kabuki syndrome in a single tertiary center. Methods: A retrospective analysis was conducted for a total of 13 patients with Kabuki syndrome. Results: The median age at diagnosis of was 5.9 years (range, 9 days to 11 years and 8 months). All patients showed the characteristic facial dysmorphisms and congenital anomalies in multiple organs, and the diagnosis was delayed by 5.9 years (range, 9 days to 11 years and 5 months) after the first visit. Noncardiac anomalies were found in 84% of patients, and congenital heart diseases were found in 9 patients (69%). All 9 patients exhibited left-side heart anomalies, including hypoplastic left heart syndrome in 3, coarctation of the aorta in 4, aortic valve stenosis in 1, and mitral valve stenosis in 1. None had right-side heart disease or isolated septal defects. Genetic testing in 10 patients revealed 9 novel MLL2 mutations. All 11 patients who were available for follow-up exhibited developmental delays during the median 4 years (range, 9 days to 11 years 11 months) of follow-up. The leading cause of death was hypoplastic left heart syndrome. Conclusion: Pediatric cardiologist should recognize Kabuki syndrome and the high prevalence of left heart anomalies with Kabuki syndrome. Genetic testing can be helpful for early diagnosis and counseling.

• Journal of KIISE:Software and Applications
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• v.30 no.12
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• pp.1228-1238
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• 2003

This paper presents a new and practical method based on computer vision for detecting the monitor position where the user is looking. In general, the user tends to move both his face and eyes in order to gaze at certain monitor position. Previous researches use only one wide view camera, which can capture a whole user's face. In such a case, the image resolution is too low and the fine movements of user's eye cannot be exactly detected. So, we implement the gaze detection system with dual camera systems(a wide and a narrow view camera). In order to locate the user's eye position accurately, the narrow view camera has the functionalities of auto focusing and auto panning/tilting based on the detected 3D facial feature positions from the wide view camera. In addition, we use dual R-LED illuminators in order to detect facial features and especially eye features. As experimental results, we can implement the real-time gaze detection system and the gaze position accuracy between the computed positions and the real ones is about 3.44 cm of RMS error.

• Journal of KIISE
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• v.41 no.9
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• pp.666-673
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• 2014

This paper proposes a scalable face recognition method for unconstrained face databases, and shows a simple experimental result. Existing face recognition research usually has focused on improving the recognition rate in a constrained environment where illumination, face alignment, facial expression, and background is controlled. Therefore, it cannot be applied in unconstrained face databases. The proposed system is face feature extraction algorithm for unconstrained face recognition. First of all, we extract the area that represent the important features(landmarks) in the face, like the eyes, nose, and mouth. Each landmark is represented by a high-dimensional LBP(Local Binary Pattern) histogram feature vector. The multi-scale LBP histogram vector corresponding to a single landmark, becomes a low-dimensional face feature vector through the feature reduction process, PCA(Principal Component Analysis) and LDA(Linear Discriminant Analysis). We use the Rank acquisition method and Precision at k(p@k) performance verification method for verifying the face recognition performance of the low-dimensional face feature by the proposed algorithm. To generate the experimental results of face recognition we used the FERET, LFW and PubFig83 database. The face recognition system using the proposed algorithm showed a better classification performance over the existing methods.

• Journal of Korean Neurosurgical Society
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• v.44 no.3
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• pp.131-135
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• 2008

Objective : Hemifacial spasm (HFS) is considered as a reversible pathophysiological condition mainly induced by continuous vascular compression of the facial nerve root exit zone (REZ) at the cerebellopontine angle. As an offending vessel, vertebrobasilar artery tends to compress much more heavily than others. The authors analyzed HFS caused by vertebrobasilar artery and described the relationships between microsurgical findings and clinical courses. Methods : Out of 1,798 cases treated with microvascular decompression (MVD) from Jan. 1980 to Dec. 2004. the causative vessels were either vertebral artery or basilar artery in 87 patients. Seventy-nine patients were enrolled in this study. Preoperatively, computed tomography (CT) or brain magnetic resonance (MR) imaging with 3-dimentional short range MR technique was performed and CT was checked immediately or 2-3 days after anesthetic recovery. The authors retrospectively analyzed the clinical features. the compression patterns of the vessels at the time of surgery and treatment outcomes. Results : There were 47 were male and 32 female patients. HFS developed on the left side in 52 cases and on the right side in 27. The mean age of onset was 52.3 years (range 19-60) and the mean duration of symptoms was 10.7 years. Many patients (39 cases; 49.1%) had past history of hypertension. HFS caused only by the vertebral artery was 8 cases although most of the other cases were caused by vertebral artery (VA) in combination with its branching arteries. Most frequently, the VA and the posterior inferior cerebellar artery (PICA) were the simultaneous causative blood vessels comprising 32 cases (40.5%). and in 27 cases (34.2 %) the VA and the anterior inferior cerebellar artery (AICA) were the offenders. Facial symptoms disappeared in 61 cases (77.2%) immediately after the operation and 68 cases (86.1%) showed good outcome after 6 months. Surgical outcome just after the operation was poor in whom the perforators arose from the offending vessels concurrently (p<0.05). Conclusion : In case where the vertebral artery is a cause of HFS, commonly branching arteries associated with main arterial compression on facial REZ requires more definite treatment for proper decompression because of its relatively poor results compared to the condition caused by other vascular compressive origins.

• Science of Emotion and Sensibility
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• v.25 no.1
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• pp.91-102
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• 2022

As virtual space activities become more common, human-virtual agents such as avatars are more frequently used instead of people, but the uncanny valley effect, in which people feel uncomfortable when they see artifacts that look similar to humans, is an obstacle. In this study, we explored the uncanny valley effect for celebrity avatars. We manipulated the degree of atypicality by adjusting the eye size in photos of celebrities, ordinary people, and their avatars and measured the intensity of the uncanny valley effect. As a result, the uncanny valley effect for celebrities and celebrity avatars appeared to be stronger than the effect for ordinary people. This result is consistent with previous findings that more robust facial representations are formed for familiar faces, making it easier to detect facial changes. However, with real faces of celebrities and ordinary people, as in previous studies, the higher the degree of atypicality, the greater the uncanny valley effect, but this result was not found for the avatar stimulus. This high degree of tolerance for atypicality in avatars seems to be caused by cartoon characters' tendency to have exaggerated facial features such as eyes, nose, and mouth. These results suggest that efforts to reduce the uncanny valley in the virtual space service using celebrity avatars are necessary.

• Imaging Science in Dentistry
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• v.30 no.2
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• pp.123-126
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• 2000

Pyogenic granuloma is a overzealous proliferation of a vascular type connective tissue as a result of some minor trauma and is a well circumscribed elevated, pedunculated or sessile benign inflammatory lesion of skin and mucous membrane. The clinical features of pyogenic granuloma are indicative but not specific and nearly all cases of pyogenic granulomas are superficial in nature, and there is little if any mention in the literature of these lesions producing alveolar bone even jaw bone loss. This case is somewhat unique in that the lesion was an obvious histologic pyogenic granuloma; however, it appeared to invade the mandibular bone which resulted in the loss of the adjacent teeth. A 12-year-old boy came to Seoul National University Dental Hospital with chief complaints of left facial swelling. The features obtained were as follows; Plain radiograms showed a large well-circumscribed radiolucent lesion on left mandibular ramus area, which made severe expansion of lingual cortex and displacement of lower left 3rd molar tooth germ. Computed tomograms showed large soft tissue mass involving left masticator space with destruction of left mandibular ramus. Histologically, sections revealed loose edematous stroma with intense infiltration of inflammatory cells and proliferation of vascular channels. Also, there were focal areas of extensive capillary proliferation, bone destruction and peripheral new bone formation.

• Journal of Digital Contents Society
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• v.19 no.4
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• pp.821-827
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• 2018

Affective computing has gained increasing interest in the recent years with the development of potential applications in Human computer interaction (HCI) and healthcare. Although momentous research has been done on human emotion recognition, however, in comparison to speech and facial expression less attention has been paid to physiological signals. In this paper, Electroencephalogram (EEG) signals from different brain regions were investigated using modified wavelet energy features. For minimization of redundancy and maximization of relevancy among features, mRMR algorithm was deployed significantly. EEG recordings of a publically available "DEAP" database have been used to classify four classes of emotions with Multi class Support Vector Machine. The proposed approach shows significant performance compared to existing algorithms.