이은총 교수
Eun Jung Lee
연세대학교 의생명과학부 · 의학
연구실 소개
이은총 교수의 연구실은 광학 소재 및 나노소재를 기반으로 한 신소재 및 신기기 개발에 중점을 두고 있습니다. 특히 그래핀 기반의 전기적 제어 가능한 섬유 광학 장치, 고성능 압전 나노복합재, 그리고 의료 영상 진단을 위한 인공지능 기반 진단 알고리즘 개발 등 다학제적 연구를 수행하고 있습니다. 또한, 신체 내 병변 치료를 위한 초음파 기반 비침습적 치료 기술과 당뇨병 관련 신장병 예방을 위한 천연물질의 약리적 기전 규명 등 의료 응용을 겨냥한 연구도 활발히 전개하고 있습니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15Active manipulation of light in optical fibres has been extensively studied with great interest because of its compatibility with diverse fibre-optic systems. While graphene exhibits a strong electro-optic effect originating from its gapless Dirac-fermionic band structure, electric control of all-fibre graphene devices remains still highly challenging. Here we report electrically manipulable in-line graphene devices by integrating graphene-based field effect transistors on a side-polished fibre.
A high-performance piezoelectric nanocomposite generator (PNG) based on chemically reinforced composites is demonstrated by incorporating amine-functionalized lead zirconate titanate (PZT-NH<sub>2</sub>) nanoparticles into a polymer matrix.
BACKGROUND: We designed a deep convolutional neural network (CNN) to diagnose thyroid malignancy on ultrasound (US) and compared the diagnostic performance of CNN with that of experienced radiologists. METHODS: Between May 2012 and February 2015, 589 thyroid nodules in 519 patients were diagnosed as benign or malignant by surgical excision. Experienced radiologists retrospectively reviewed the US of the thyroid nodules in a test set. CNNs were trained and tested using retrospective data of 439 a
Magnetic resonance-guided focused ultrasound (MRgFUS) is an emerging new technology with considerable potential to treat various neurological diseases. With refinement of ultrasound transducer technology and integration with magnetic resonance imaging guidance, transcranial sonication of precise cerebral targets has become a therapeutic option. Intensity is a key determinant of ultrasound effects. High-intensity focused ultrasound can produce targeted lesions via thermal ablation of tissue. MRgF
Kaempferide, kaempferol, and galangin belong to flavonol, one of flavonoid classes. Even they have the same moiety as flavonol, their binding affinities for a hexahistidine-tagged C-terminal nucleotide-binding domain are different with each other. The dissociation constants of flavonol, kaempferide, kaempferol, and galangin are 10.1, 4.5, 6.7, and 5.3 mM, respectively. Galangin contains two more hydroxyl groups than flavonol, and kaempferol has three more hydroxyl groups. Kaempferide differs wit
Advanced glycation end products (AGEs) play a causative role in the development of diabetic nephropathy via induction of matrix protein deposition in kidneys. This study investigated inhibitory effects of chrysin, present in bee propolis and herbs, on glomerulosclerosis in db/db mice and AGEs-exposed renal mesangial cells. The in vivo study explored the demoting effects of 10 mg/kg chrysin on glomerular fibrosis in a type 2 diabetic model. Oral supplementation of chrysin inhibited the collagen f
CONTEXT: Several ultrasonographic (US) features of thyroid nodules have been reported to predict malignancy. The BRAF(V600E) mutation is a useful diagnostic marker for differentiating papillary thyroid carcinoma from benign thyroid nodules, especially in BRAF(V600E) -prevalent populations such as in Korea. OBJECTIVE: To evaluate the association of BRAF(V600E) mutation with US features of thyroid nodules in predicting the malignancy of thyroid nodules in Korean patients. DESIGN: A total of 991 th
A weighted‐norm least‐squares method is considered for the numerical approximation of solutions that have singularities at the boundary. While many methods suffer from a global loss of accuracy due to boundary singularities, the least‐squares method can be particularly sensitive to a loss of regularity. The method we describe here requires only a rough lower bound on the power of the singularity and can be applied to a wide range of elliptic equations. Optimal order discretization accuracy is ac
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