University of Ulsan Foundation for Industry Cooperation

The Asan Foundation

Seoul National University

Osstemimplant Co., Ltd.

Coreline Soft Co., Ltd.

Promedius Inc.

Univ. of Ulsan Foundation for Industry Cooperation

Namkug Kim

Sang Min Lee

Joon Beom Seo

Mooyong Park

Seongyun Lee

Byunghee Han

Il-Hyung Yang

In-Sung Yeo

Jong Won Lee

Sang Wook Lee

Donghoon Yu

Jaeyoun Yi

Dong Wha Kang

MinGyu Kim

Guk Bae Kim

Byeong Soo Kim

Beom Seok Ko

Sei Hyun Ahn

Byung Ho Son

Jeongeun Hwang

Gil-Sun Hong

Ji Yeon Suh

Sung Won Ham

Kyung Jin Cho

Hyun Na Lee

A medical image processing method for processing a pediatric simple X-ray image using a machine learning model and a medical image processing apparatus therefor are provided. The apparatus applies a style conversion model to a CT image pair including a basic CT image and a suppression CT image where at least a portion of a bone of the basic CT image is suppressed to convert the CT image pair into a conversion image pair and trains a bone suppression model for a simple X-ray image based on training data including the conversion image pair.

Medical image processing method for processing pediatric simple x-ray image using machine learning model and medical image processing apparatus therefor

Disclosed herein is a computing system for performing medical image analysis. A computing system for performing medical image analysis according to an embodiment of the present invention includes at least one processor. The at least one processor performs image processing on a first medical image, and segments at least one anatomical region in the first medical image. The at least one processor generates a first quantitative parameter for the at least one anatomical region based on quantitative measurement conditions that can be measured in the first medical image, and stores the first quantitative parameter in a database in association with the first medical image and the at least one anatomical region.

Medical image analysis system and similar case retrieval system using quantitative parameters, and methods for the same

A method for predicting a pulmonary disease includes acquiring a three-dimensional computed tomography (CT) image from two-dimensional CT images, each of which captures a respective body position of a first patient, dividing the three-dimensional CT image into a plurality of regions to obtain region-based three-dimensional CT images configured to be used for fractal analysis, calculating a region-based fractal dimension value indicating a fractal complexity of a respective region-based three-dimensional CT image among the generated region-based three-dimensional computed tomography images, adding additional information to the region-based fractal dimension value to generate high-dimensional data, and generating status information of the first patient based on the complexity of the generated high-dimensional data.

Method and apparatus for predicting pulmonary disease using fractal dimension value

The present invention relates to a customized surgical guide device and a customized surgical guide generating method and program. A customized surgical guide generating method comprises the steps of: acquiring body surface data and treatment area data from medical image data by a computer; a first shape data generating step, wherein the first shape data is data which corresponds to the shape of the body part cover; a target point setting step of setting one or more target points; setting individual first points on the body surface accessible to the target point with a medical tool; setting a guide tube length on the basis of a distance from the first point to the target point; and generating final shape data in which one or more guide tubes are combined to the first shape data by applying the guide tube length to the first point.

Customized surgical guide and customized surgical guide generating method and generating program

The present disclosure relates to a system and a method for estimating an acute cerebral infarction onset time. The method according to the present disclosure includes at least: receiving a first image and a second image of a first patient whose acute cerebral infarction onset time is not identified; extracting an infarction area image from the second image; aligning the second image with the first image; defining an infarction area in the first image, based on a result of the alignment of the second image with the first image; extracting feature information of the first patient, from the infarction area in the first image; comparing the extracted feature information with reference data; and calculating an amount of time that has elapsed since the acute cerebral infarction onset time, based on a result of the comparison of the extracted feature information with reference data.

System and method for estimating acute cerebral infarction onset time

Disclosed are a method for designing dental prosthesis, an apparatus for the same, and a recording medium for recording the same. According to the method, sore spots on which a patient may feel pain due to wearing a dental prosthesis are predicted based on a sore spot distribution model which has been modeled with a plurality of data, and the dental prosthesis is digitally designed based on the predicted results. Accordingly, it is possible to improve the prediction accuracy of sore spots and rapidly design the prosthesis which is more appropriate for the patient.

Method for designing dental prosthesis, apparatus therefor, and recording medium having same recorded thereon

The present invention relates to method for simulating mandibular movements, device for the same and recording medium for recording the same. With the method for simulating mandible movements according to the present invention, it is possible to perform the simulation directly on the medical image of the patient and thus simulate the mandibular movements more closely to the actual situation. Therefore, the inaccurate mechanical approximation of the mandibular movement with the articulator according to the conventional art is overcome. In addition, according to the present invention, it is possible to simulate mandibular movements customized to the various states of the patient and specific clinical cases.

Method for simulating mandibular movement, device for same and recording medium for recording same

Growing community of inventors

Seoul, South Korea

Namkug Kim