정성문 교수(의과대학 의학과)

o (2006) B.S., Kyungpook National University
o (2008) M.S., Kyungpook National University
o (2013) Ph.D. Kyungpook National University

o (2013-2018) Assistant Professor, Japan Advanced Instutute of Science and Technology, Ishikawa, Japan
o (2018-Present) Assistant Professor, Kyungpook National University Hospital, Daegu, Korea
o (2019-Present) Assistant Professor, Kyungpook National University, Daegu, Korea

Machine Learning, Medical Informatics, Deep Learning, Cognitive Science, Neurorobotics, Neuroscience, Intelligent Agent, Data Science, Neural Networks, Social Robotics, Affective Computing, Medical Imaging, Software as Medical Device (SaMD), Cognitive Hospital

o Comparing deep learning and handcrafted radiomics to predict chemoradiotherapy response for locally advanced cervical cancer using pretreatment MRI
o Tooth caries classification with quantitative light-induced fluorescence (QLF) images using convolutional neural network for permanent teeth in vivo
o Soybean root image dataset and its deep learning application for nodule segmentation
o Use of video-based telehealth services using a mobile app for workers in underserved areas during the COVID-19 pandemic: A prospective observational study
o Quantitative gait analysis of idiopathic normal pressure hydrocephalus using deep learning algorithms on monocular videos
o Learning proxemics for personalized human–robot social interaction
o A Self-Trainable Depth Perception Method from Eye Pursuit and Motion Parallax
o Point-wise fusion of distributed gaussian process experts (fudge) using a fully decentralized robot team operating in communication-devoid environment
o UAV-based multiple source localization and contour mapping of radiation fields
o Goal-oriented behavior sequence generation based on semantic commands using multiple timescales recurrent neural network with initial state correction
o Autonomous emotion development using incremental modified adaptive neuro-fuzzy inference system
o Neuro-robotics study on integrative learning of proactive visual attention and motor behaviors
o Adaptive object recognition model using incremental feature representation and hierarchical classification
o Stereo saliency map considering affective factors and selective motion analysis in a dynamic environment

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