연구실적

• [학술지논문] An Unsupervised Two-step Training Framework for Low-dose Computed Tomography Denoising MEDICAL PHYSICS, 2024, v.1 no.1 , 1-18
  SCIE
• [학술지논문] Efficient Deep-detector Image Quality Assessment Based on Knowledge Distillation IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, v.1 no.1 , 1-16
  SCIE
• [학술지논문] Low-dose computed tomography perceptual image quality assessment MEDICAL IMAGE ANALYSIS, 2024, v.99 no.0 , 1-16
  SCIE
• [학술지논문] MM-Net: Multiframe and Multimask-Based Unsupervised Deep Denoising for Low-Dose Computed Tomography IEEE Transactions on Radiation and Plasma Medical Sciences, 2023, v.7 no.3 , 296-306
  Scopus
• [학술지논문] Unsupervised Visual Representation Learning Based on Segmentation of Geometric Pseudo-Shapes for Transformer-Based Medical Tasks IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2023, v.27 no.4 , 2003-2014
  SCIE
• [학술지논문] MFA-net: Object detection for complex X-ray cargo and baggage security imagery PLOS ONE, 2022, v.17 no.9 , 0272961-0272961
  SCIE
• [학술지논문] No-reference perceptual CT image quality assessment based on a self-supervised learning framework MACHINE LEARNING-SCIENCE AND TECHNOLOGY, 2022, v.3 no.4 , 045033-045033
  SCI
• [학술지논문] Object detectors involving a NAS-gate convolutional module and capsule attention module SCIENTIFIC REPORTS, 2022, v.12 no.1 , 3916-3916
  SCI
• [학술지논문] Rigid and Non-Rigid Motion Compensation in Weight-Bearing CBCT of the Knee Using Simulated Inertial Measurements IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2022, v.69 no.5 , 1608-1619
  SCI
• [학술지논문] Unsupervised Domain Adaptation for Low-Dose Computed Tomography Denoising IEEE ACCESS, 2022, v.10 no.0 , 126580-126592
  SCIE
• [학술지논문] Wavelet subband-specific learning for low-dose computed tomography denoising PLOS ONE, 2022, v.17 no.9 , 0274308-0274308
  SCIE
• [학술지논문] 3D Non-Rigid Alignment of Low-Dose Scans Allows to Correct for Saturation in Lower Extremity Cone-Beam CT IEEE ACCESS, 2021, v.9 no.0 , 71821-71831
  SCIE
• [학술지논문] Integration of 2D iteration and a 3D CNN-based model for multi-type artifact suppression in C-arm cone-beam CT MACHINE VISION AND APPLICATIONS, 2021, v.32 no.6 , 116-116
  SCIE
• [학술지논문] A learning-based material decomposition pipeline for multi-energy x-ray imaging MEDICAL PHYSICS, 2019, v.46 no.2 , 689-703
  SCI
• [학술발표] Machine learning-powered prediction of recurrence in patients with non-small cell lung cancer using quantitative clinical and radiomic biomarkers SPIE Medical Imaging 2020, 미국, Houston, 2020-02-17 Medical Imaging 2020: Computer-Aided Diagnosis, 2020, 1-8
• [학술발표] NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results Conference on Computer Vision and Pattern Recognition, 미국, 2020-06-13 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020, 1-12
• [학술발표] Deep Convolutional Neural Network-Based Automated Lesion Detection in Wireless Capsule Endoscopy The International Forum on Medical Imaging in Asia (IFMIA), 싱가폴, 싱가폴, 2019-01-07 The PROCEEDINGS of The Joint 2019 International Workshop on Advanced Image Technology & International Forum on Medical Imaging in Asia, 2019
• [학술발표] Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-beam CT Bildverarbeitung für die Medizin 2020, 독일, Berlin, 2019-12-15 Informatik aktuell, 2019, 67-72
• [학술발표] Multidimensional Noise Reduction in C-arm Cone-beam CT via 2D-based Landweber Iteration and 3D-based Deep Neural Networks SPIE Medical Imaging 2019, 미국, 샌디에고, 2019-02-17 Medical Imaging 2019: Physics of Medical Imaging, PROCEEDINGS VOLUME 10948, 2019
• [학술발표] Precision Learning: Towards Use of Known Operators in Neural Networks International Conference on Pattern Recognition, 중국, 2018-08-21 24rd International Conference on Pattern Recognition (ICPR), 2018, 183-188
• An unsupervised two-step training framework for low-dose computed tomography denoising Medical Physics, 2024, v.51 no.2, 1127-1144
  SCIE Scopus dColl.
• Efficient Deep-Detector Image Quality Assessment Based on Knowledge Distillation IEEE Transactions on Instrumentation and Measurement, 2024, v.73, 1-15
  SCIE Scopus dColl.
• A multi-kernel and multi-scale learning based deep ensemble model for predicting recurrence of non-small cell lung cancer PEERJ COMPUTER SCIENCE, 2023, v.9, e1311
  SCIE Scopus dColl.
• Advancing diabetes prediction with a progressive self-transfer learning framework for discrete time series data Scientific Reports, 2023, v.13 no.1, 21044
  SCIE Scopus dColl.
• Annotation-Efficient Deep Learning Model for Pancreatic Cancer Diagnosis and Classification Using CT Images: A Retrospective Diagnostic Study Cancers, 2023, v.15 no.13, 3392
  SCIE Scopus dColl.
• Botulinum neurotoxin type A improves vasti muscle balance, patellar tracking, and pain in patients with chronic patellofemoral pain Journal of Orthopaedic Research, 2023, v.41 no.5, 962-972
  SCIE Scopus dColl.
• Intra-person multi-task learning method for chronic-disease prediction Scientific Reports, 2023, v.13 no.1, 1069
  SCIE Scopus dColl.
• MM-Net: Multiframe and Multimask-Based Unsupervised Deep Denoising for Low-Dose Computed Tomography IEEE Transactions on Radiation and Plasma Medical Sciences, 2023, v.7 no.3, 296-306
  Scopus dColl.
• Unsupervised Visual Representation Learning Based on Segmentation of Geometric Pseudo-Shapes for Transformer-Based Medical Tasks IEEE Journal of Biomedical and Health Informatics, 2023, v.27 no.4, 2003-2014
  SCIE Scopus dColl.
• 특징 최소화와 선택을 이용한 욕창 발생 예측을 위한 중요 혈액 특징값 예측 정보과학회논문지, 2023, v.50 no.12, 1054-1062
  KCI dColl.
• Acquisition of a single grid-based phase-contrast X-ray image using instantaneous frequency and noise filtering BioMedical Engineering Online, 2022, v.21 no.1, 92
  SCIE Scopus dColl.
• Deep Learning with Multimodal Integration for Predicting Recurrence in Patients with Non-Small Cell Lung Cancer Sensors, 2022, v.22 no.17, 6594
  SCIE Scopus dColl.
• MFA-net: Object detection for complex X-ray cargo and baggage security imagery PLoS ONE, 2022, v.17 no.9-9월, e0272961
  SCIE Scopus dColl.
• No-reference perceptual CT image quality assessment based on a self-supervised learning framework Machine Learning: Science and Technology, 2022, v.3 no.4, 45033
  SCIE Scopus dColl.
• Object detectors involving a NAS-gate convolutional module and capsule attention module Scientific Reports, 2022, v.12 no.1, 3916
  SCIE Scopus dColl.
• Rigid and Non-Rigid Motion Compensation in Weight-Bearing CBCT of the Knee Using Simulated Inertial Measurements IEEE Transactions on Biomedical Engineering, 2022, v.69 no.5, 1608-1619
  SCIE Scopus dColl.
• Unsupervised Domain Adaptation for Low-Dose Computed Tomography Denoising IEEE ACCESS, 2022, v.10, 126580-126592
  SCIE Scopus dColl.
• Wavelet subband-specific learning for low-dose computed tomography denoising PLoS ONE, 2022, v.17 no.9-9월, e0274308
  SCIE Scopus dColl.
• 어텐션 모듈과 기하학적 데이터 증강을 통한 X-ray 영상 내 해부학적 랜드마크 검출 성능 향상 한국컴퓨터그래픽스학회논문지, 2022, v.28 no.3, 55-65
  KCI dColl.
• 3D Non-Rigid Alignment of Low-Dose Scans Allows to Correct for Saturation in Lower Extremity Cone-Beam CT IEEE ACCESS, 2021, v.9, 71821-71831
  SCIE Scopus dColl.
• A sequential and intensive weighted language modeling scheme for multi-task learning-based natural language understanding Applied Sciences (Switzerland), 2021, v.11 no.7, 3095
  SCIE Scopus dColl.
• Integration of 2D iteration and a 3D CNN-based model for multi-type artifact suppression in C-arm cone-beam CT MACHINE VISION AND APPLICATIONS, 2021, v.32 no.6, 116
  SCIE Scopus dColl.
• A learning-based material decomposition pipeline for multi-energy x-ray imaging MEDICAL PHYSICS, 2019, v.46 no.2, 689-703
  SCIE Scopus dColl.
• [학술지논문] A systematic review of deep learning-based denoising for low-dose computed tomography from a perceptual quality perspective Biomedical Engineering Letters, 2024, v.14 no.0 , 1153-1173
  SCIE
• [학술지논문] A multi-kernel and multi-scale learning based deep ensemble model for predicting recurrence of non-small cell lung cancer PEERJ COMPUTER SCIENCE, 2023, v.9 no.1311 , 1-20
  SCIE
• [학술지논문] Advancing diabetes prediction with a progressive self-transfer learning framework for discrete time series data SCIENTIFIC REPORTS, 2023, v.13 no.21044 , 1-14
  SCIE
• [학술지논문] Annotation-Efficient Deep Learning Model for Pancreatic Cancer Diagnosis and Classification Using CT Images: A Retrospective Diagnostic Study CANCERS, 2023, v.15 no.13 , 1-14
  SCIE
• [학술지논문] Botulinum neurotoxin type A improves vasti muscle balance, patellar tracking, and pain in patients with chronic patellofemoral pain JOURNAL OF ORTHOPAEDIC RESEARCH, 2023, v.41 no.5 , 962-972
  SCIE
• [학술지논문] Intra-person multi-task learning method for chronic-disease prediction SCIENTIFIC REPORTS, 2023, v.13 no.1 , 1069-1069
  SCIE
• [학술지논문] Acquisition of a single grid-based phase-contrast X-ray image using instantaneous frequency and noise filtering BIOMEDICAL ENGINEERING ONLINE, 2022, v.21 no.1 , 92-92
  SCIE
• [학술지논문] A Sequential and Intensive Weighted Language Modeling Scheme for Multi-Task Learning-Based Natural Language Understanding APPLIED SCIENCES-BASEL, 2021, v.11 no.7 , 3095-3095
  SCIE
• [학술지논문] Analysis of Understanding Using Deep Learning Facial Expression Recognition for Real time Online Lectures 멀티미디어학회논문지, 2020, v.23 no.12 , 1464-1475
  KCI
• [학술지논문] The effect of patellofemoral pain syndrome on patellofemoral joint kinematics under upright weight-bearing conditions PLOS ONE, 2020, v.15 no.9 , 0239907-0239907
  SCIE
• [학술지논문] Automated stitching of microscope images of fluorescence in cells with minimal overlap MICRON, 2019, v.126 no.0 , 102718-102718
  SCI
• [학술지논문] 의료영상 기반 암 예후 예측 AI 기술 최신동향 정보와 통신, 2019, v.36 no.4 , 10-18
• [학술지논문] A Method for Generating Synthetic Mammograms using Information from Digital Breast Tomosynthesis (DBT) Images INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2018, v.13 no.1 , 165-166
  SCIE
• [학술지논문] Assessment of a photon-counting detector for a dual-energy C-arm angiographic system MEDICAL PHYSICS, 2017, v.44 no.11 , 5938-5948
  SCI
• [학술지논문] Comparison of Different Approaches for Measuring Tibial Cartilage Thickness JOURNAL OF INTEGRATIVE BIOINFORMATICS, 2017, v.14 no.2 , 1-10
  Scopus
• [학술지논문] Fully automated nipple detection in digital breast tomosynthesis COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2017, v.143 no.0 , 113-120
  SCI
• [학술지논문] Scatter correction using a primary modulator on a clinical angiography C-arm CT system MEDICAL PHYSICS, 2017, v.44 no.9 , 125-137
  SCI
• [학술지논문] Interventional dual-energy imaging-Feasibility of rapid kV-switching on a C-arm CT system MEDICAL PHYSICS, 2016, v.43 no.10 , 5537-5546
  SCI
• [학술지논문] Kinect-based correction of overexposure artifacts in knee imaging with C-Arm CT systems International Journal of Biomedical Imaging, 2016, v.2016 no.1 , 1-15
  Scopus
• [학술지논문] Marker-free motion correction in weight-bearing cone-beam CT of the knee joint MEDICAL PHYSICS, 2016, v.43 no.3 , 1235-1248
  SCI
• [학술지논문] Dynamic detector offsets for field of view extension in C-arm computed tomography with application to weight-bearing imaging MEDICAL PHYSICS, 2015, v.42 no.5 , 2718-2729
  SCI
• [학술지논문] Practical dose point-based methods to characterize dose distribution in a stationary elliptical body phantom for a cone-beam C-arm CT system MEDICAL PHYSICS, 2015, v.42 no.8 , 4920-4932
  SCI
• [학술지논문] Fiducial marker-based correction for involuntary motion in weight-bearing C-arm CT scanning of knees. II. Experiment MEDICAL PHYSICS, 2014, v.41 no.6 , 061902-1-061902-16
  SCI
• [학술지논문] CONRAD—A software framework for cone-beam imaging in radiology MEDICAL PHYSICS, 2013, v.40 no.11 , 111914-1-111914-8
  SCI
• [학술지논문] Fiducial marker-based correction for involuntary motion in weight-bearing C-arm CT scanning of knees. Part I. Numerical model-based optimization MEDICAL PHYSICS, 2013, v.40 no.9 , 091905-1-091905-12
  SCI
• [학술발표] D-Cube : Exploiting Hyper-Features of Diffusion Model for Robust Medical Classification IEEE International Conference on Data Mining (ICDM), 아랍에미리트, Abu Dhabi, 2024-12-11 2024 IEEE International Conference on Data Mining (ICDM), 2024
• [학술발표] Anatomical Landmark Detection Using a Multiresolution Learning Approach with a Hybrid Transformer-CNN Model Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, 캐나다, Vancouver, 2023-10-10 Lecture Notes in Computer Science, 2023, 433-443
• [학술발표] Noise2Contrast: Multi-contrast Fusion Enables Self-supervised Tomographic Image Denoising IPMI: International Conference on Information Processing in Medical Imaging, 아르헨티나, San Carlos De Bariloche, 2023-06-22 Lecture Notes in Computer Science (LNCS,volume 13939), 2023, 771-782
• [학술발표] Deep Denoising Network for X-Ray Fluoroscopic Image Sequences of Moving Objects International Conference on Medical Image Computing and Computer Assisted Intervention, 싱가폴, 싱가포르, 2022-09-22 International Workshop on Machine Learning for Medical Image Reconstruction, 2022
• [학술발표] Botulinum Toxin Injection Improves Pain and Muscle Balance in Chronic Patellofemoral Pain 2021 AAP ANNUAL MEETING (Physiatry ’21), 미국, Virtual, 2021-02-09 American Journal of Physical Medicine & Rehabilitation, 2021, 1-204
• [학술발표] Lung Cancer and Lymph Node Metastasis Detection on FDG PET/CT Images using YOLO Algorithm IEEE NSS/MIC, 일본, Virtual, 2021-10-18 Proceedings of IEEE NSS/MIC 2021, 2021, 1-2
• [학술발표] Inertial Measurements for Motion Compensation in Weight-Bearing Cone-Beam CT of the Knee MICCAI 2020, 페루, 2020-10-04 International Conference on Medical image computing and computer-assisted intervention, 2020, 14-23
• [학술발표] Noise Reduction Methods in Low-dose CT Data Combining Neural Networks and an Iterative Reconstruction Technique The International Forum on Medical Imaging in Asia (IFMIA), 싱가폴, Singapore, 2019-01-07 The PROCEEDINGS of The Joint 2019 International Workshop on Advanced Image Technology & International Forum on Medical Imaging in Asia, 2019

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