Eun Jung Lee
Yonsei University · 医学
研究室紹介
Professor Eun Jung Lee's research lab specializes in advanced materials and biomedical technologies, focusing on the development of functional nanomaterials for optical and electronic applications, as well as therapeutic interventions in metabolic and neurological diseases. Key research directions include electrically tunable graphene-based photonic devices for fiber-optic systems, piezoelectric nanocomposites for energy harvesting, and AI-driven medical imaging for thyroid cancer diagnosis. The lab also investigates natural compounds like chrysin and flavonoids for their renoprotective and anti-fibrotic effects, and explores non-invasive ultrasound therapies such as MR-guided focused ultrasound for neurological disorders.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
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