Juyoung Lee

PURPOSE: MR measurements from an echo-planar imaging (EPI) sequence produce Nyquist ghost artifacts that originate from inconsistencies between odd and even echoes. Several reconstruction algorithms have been proposed to reduce such artifacts, but most of these methods require either additional reference scans or multipass EPI acquisition. This article proposes a novel and accurate single-pass EPI ghost artifact correction method that does not require any additional reference data. THEORY AND ME

We propose a sensing technique for detecting finger movements on the nose, using EOG sensors embedded in the frame of a pair of eyeglasses. Eyeglasses wearers can use their fingers to exert different types of movement on the nose, such as flicking, pushing or rubbing. These subtle gestures can be used to control a wearable computer without calling attention to the user in public. We present two user studies where we test recognition accuracy for these movements.

The temporalis muscle, which is one of the masticatory muscles, enables elevation and retraction of the mandible. Direct injury to the temporalis muscle, facial nerve, or temporal fat pad during cranial-base surgery can cause temporal hollowing. The temporalis muscle is currently described in almost all atlases and textbooks as comprising a single layer. In this study, a superficial layer of the temporalis muscle is described, clarifying the anatomy of this muscle. Twenty heads of adult cadavers

To provide anatomical and morphological data regarding the coccyx using three-dimensional images, with a view to aiding the diagnosis of idiopathic coccydynia, one hundred and thirty-six normal adult pelvises were investigated. Three-dimensional models of the pelvis were reconstructed using software from computed tomography images of whole specimens. The following six coccyx parameters were measured: (1) width, (2) straight length, (3) thickness, (4) sacrococcygeal angle, (5) intercoccygeal angl

The masseter muscle has superficial tendons that interdigitate like a saw (tendinous digitations), but a detailed description of these tendons is lacking in anatomic textbooks and atlases. The aim of the present study was to elucidate the topographic anatomy of the masseter muscle, focusing on its tendinous digitation. Sixty-five adult faces (113 sides) were dissected. Five parameters, including the lengths, widths, and thickness of the muscle, were measured. The number and morphology of tendino

Differentiating the invasiveness of ground-glass nodules (GGN) is clinically important, and several institutions have attempted to develop their own solutions by using computed tomography images. The purpose of this study is to evaluate Computer-Aided Analysis of Risk Yield (CANARY), a validated virtual biopsy and risk-stratification machine-learning tool for lung adenocarcinomas, in a Korean patient population. To this end, a total of 380 GGNs from 360 patients who underwent pulmonary resection

Non-invasive early detection and differentiation grading of lung adenocarcinoma using computed tomography (CT) images are clinically important for both clinicians and patients, including determining the extent of lung resection. However, these are difficult to accomplish using preoperative images, with CT-based diagnoses often being different from postoperative pathologic diagnoses. In this study, we proposed an integrated detection and classification algorithm (IDCal) for diagnosing ground-glas

MR measurements from an EPI sequence produce Nyquist ghost artifacts that originate from inconsistencies between odd and even echoes. By converting the ghost correction problem to an interpolation problem from uniformly down-sampled even and odd phases, here we propose a single pass reference free ghost artifact removal algorithm. Specifically, our algorithm exploits an observation that the difference between the even and odd echoes is a Fourier transform of an underlying sparse image. According

Objectives The purpose of this study is to propose a content system for systematic linkage, integration, and convergence of artificial intelligenc and science subjects and teaching/learning cases based on the content system. Methods First, a draft of the content system was devised by analyzing and extracting content elements for each area of artificial intelligence and science subjects for AI-SCIENCE convergence education through literature research. Second, the validity of the AI-SCIENCE conver

In "Itchy Nose" we proposed a sensing technique for detecting finger movements on the nose for supporting subtle and discreet interaction. It uses the electrooculography sensors embedded in the frame of a pair of eyeglasses for data gathering and uses machine-learning technique to classify different gestures. Here we further propose an automated training and visualization tool for its classifier. This tool guides the user to make the gesture in proper timing and records the sensor data. It autom

금산 지역에서 잎들깨가 성장하는데 5~10마디까지는 30일 정도, 11~15마디까지는 60일 정도, 16~20마디까지는 45일 정도씩 소요되는 것으로 조사되었다. 생육시기별 잎들깨 잎과 줄기의 질소, 인산 및 칼리함량은 생육초기에는 비교적 높은 함량을 보이다가 생육후기로 가면서 점점 낮아지는 경향을 보였다. 질소와 칼륨 함량은 줄기보다 잎에서 그 함량정도의 변화가 큰 것으로 조사되었으며, 인산은 잎과 줄기 모두에서 함량 변화가 적었다. 잎들깨의 생육경과 일수에 따른 엽중 주요 다량원소의 평균함량을 연속적으로 조사한 결과 생육초기에는 높은 함량을 유지하다 후기에 낮아지는 경향을 보였다. 7월 1일에 조사된 성적을 보면 질소는 6.34 (5.73~6.95), 인 0.54 (0.43~0.65), 칼륨 2.48 (2.14~2.28), 칼슘 1.98 (1.81~2.12) 및 마그네슘 0.62 (0.43~0.81)%를 나타내었다. 최종 수확기 잎들깨의 양분흡수량은 질소 <TEX>$382{\pm

Abstract Multi-fidelity (MF) surrogate modeling has been used to a variety of situations in the last few decades. The MF surrogate model integrates data from different levels of fidelity to enhance the efficiency of surrogate modeling. However, the majority of MF surrogate modeling research has been conducted in regression settings, which tries to approximate continuous responses, and few studies have focused on classification problems with discrete target responses. Furthermore, none of them ha

Objectives The purpose of this study is to develop a teaching-learning model that is the basis for designing and implementing teaching-learning for the systematic convergence of artificial intelligence and science subjects. Methods Richey and Klein (2007)'s design and development research method was applied to develop a teaching-learning model for learning that combines science and artificial intelligence modeling and to review its validity. Implications were drawn through comparison and analysi