KITECH School

2003-02 / 경북대학교 / 학사

2009-08 / 포항공과대학교 / 박사

Jong Pil Yun, Woosang Crino Shin, Gyogwon Koo, Min Su Kim, Chungki Lee, Sang Jun Lee / Automated defect inspection system for metal surfaces based on deep learning and data augmentation / Journal of Manufacturing Systems / 2020

Min Su Kim, Jong Pil Yun, PooGyeon Park / An Explainable Convolutional Neural Network for Fault Diagnosis in Linear Motion Guide / IEEE Transactions on Industrial Informatics / 2021

Woosang Shin, Jonghyeon Lee, Taehan Lee, Sangmoon Lee, Jong Pil Yun / Anomaly detection using score-based perturbation resilience / ICCV / 2023

Automated brittle fracture rate estimator for steel property evaluation using deep learning after drop-weight tear test[IEEE ACCESS,2019-10-04]

Prediction of the temperature of liquid aluminum and the dissolved hydrogen content in liquid aluminum with a machine learning approach[METALS,2020-03-02]

Automated defect inspection system for metal surfaces based on deep learning and data augmentation[JOURNAL OF MANUFACTURING SYSTEMS,2020-04-30]

Deep learning based discrimination of soft tissue profiles requiring orthognathic surgery by facial photographs[SCIENTIFIC REPORTS,2020-10-01]

Deep learning based prediction of extraction difficulty for mandibular third molars[SCIENTIFIC REPORTS,2021-01-21]

Deep-learning for predicting C-shaped canals in mandibular second molars on panoramic radiographs[DENTOMAXILLOFACIAL RADIOLOGY,2021-01-06]

Unified deep neural networks for end-to-end recognition of multi-oriented billet identification number[EXPERT SYSTEMS WITH APPLICATIONS,2021-04-15]

An explainable convolutional neural network for fault diagnosis in linear motion guide[IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,2021-06-01]

Deep learning based prediction of necessity for orthognathic surgery of skeletal malocclusion usin cephalogram in Korean individuals[BMC ORAL HEALTH,2021-03-18]

Deep-learning-baed detection of cranio-spinal differences between skeletal classification using cephalometric radiography[DIAGNOSTICS,2021-03-25]

Linearly sensitive pressure sensor based on a porous multistacked composite structure with conrolled mechanical and electrical properties[ACS APPLIED MATERIALS & INTERFACES,2021-06-23]

An explainable neural network for fault diagnosis with a frequency activation map[IEEE ACCESS,2021-07-08]

Deep learning neural networks to differentiate stafne's bone cavity from pathological radiolucent lesions of the mandible in heterogeneour panoramic radiography[PLOS ONE,2021-07-20]

Deep learning-based prediction of paresthesia after thrid molar extraction: a preliminary study[DIAGNOSTICS,2021-08-30]

Multi-channel object detection for detecting suspected trees with pine wilt disease using multispectral drone imagery[IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2021-08-04]

Automatic brittle fracture ratio estimation using convolutional neural network regression based on classmap regulation[IEEE ACCESS,2021-10-05]

Three-dimensional postoperative results prediction for orthognathic surgery through deep learning-based alignment network[JOURNAL OF PERSONALIZED MEDICINE,2022-06-18]

Attention-based multimodal image feature fusion module for transmission line detection[IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,2022-11-01]

Deep learning-based explainable fault diagnosis model with an individually grouped 1-D convolution for three-axis vibration signals[IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,2022-12-01]

Robust and explainable fault diagnosis with power-perturbation-based decision boundary analysis of deep learning models[IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,2023-05-01]

Deep learning synthesis of cone-beam computed tomography from zero echo time magnetic resonance imaging[SCIENTIFIC REPORTS,2023-04-13]