2024/06/09 Update

Scholar Google Papers https://scholar.google.com/citations?hl=ko&user=ZDM67bsAAAAJ

PubMed Papers https://pubmed.ncbi.nlm.nih.gov/?term=kim+kg%5Bau%5D+&sort=date

[1] J. C. Yeom, J. H. Kim, Y. J. Kim, J. Kim, and K. G. Kim, "A Comparative Study of Performance Between Federated Learning and Centralized Learning Using Pathological Image of Endometrial Cancer," Journal of Imaging Informatics in Medicine, 2024/2// 2024, doi: 10.1007/s10278-024-01020-1.

[2] J. Whangbo, J. Lee, Y. J. Kim, S. T. Kim, and K. G. Kim, "Deep Learning-Based Multi-Class Segmentation of the Paranasal Sinuses of Sinusitis Patients Based on Computed Tomographic Images," Sensors, vol. 24, no. 6, pp. 1933-1933, 2024/3// 2024, doi: 10.3390/s24061933.

[3] T.-H. Lee, K. Yoon, S. Lee, W. R. Choi, and K. G. Kim, "Comparative Sensing and Judgment Control System for Temperature Maintenance for Optimal Treatment in Hyperthermic Intraperitoneal Chemotherapy Surgery," Sensors (Basel, Switzerland), vol. 24, no. 2, 2024/1// 2024, doi: 10.3390/s24020596.

[4] S. Lee et al., "Automatic Segmentation and Radiologic Measurement of Distal Radius Fractures Using Deep Learning," Clinics in Orthopedic Surgery, vol. 16, no. 1, pp. 113-113, 2024, doi: 10.4055/cios23130.

[5] M. Kim, K. Yoon, S. Lee, M.-S. Shin, and K. G. Kim, "Development of an Artificial Soft Solid Gel Using Gelatin Material for High-Quality Ultrasound Diagnosis," Diagnostics (Basel, Switzerland), vol. 14, no. 3, 2024/2// 2024, doi: 10.3390/diagnostics14030335.

[6] K. Yoon, S. Lee, T.-H. Lee, and K. G. Kim, "The Design of an Automatic Temperature Compensation System through Smart Heat Comparison/Judgment and Control for Stable Thermal Treatment in Hyperthermic Intraperitoneal Chemotherapy (HIPEC) Surgery," Sensors (Basel, Switzerland), vol. 23, no. 15, 2023/7// 2023, doi: 10.3390/s23156722.

[7] K. Yoon, S. Lee, and K. G. Kim, "Adjustment of the Length Variation With Wire-driven Using the Stand Looper Tension Technique for Surgical Robot Applications," Surgical Innovation, 2023, doi: 10.1177/15533506231213284.

[8] K. Yoon, S.-M. Cho, K. G. Kim, and Y. W. Cheon, "Remote Monitoring System for Condition Management of Patients in Free Flap Surgery," Surgical Innovation, pp. 155335062211485-155335062211485, 2023/1// 2023, doi: 10.1177/15533506221148522.

[9] J.-H. Shim, W. Sunwoo, B. Y. Choi, K. G. Kim, and Y. J. Kim, "Improving the Accuracy of Otitis Media with Effusion Diagnosis in Pediatric Patients Using Deep Learning," Bioengineering, vol. 10, no. 11, pp. 1337-1337, 2023/11// 2023, doi: 10.3390/bioengineering10111337.

[10] J. Seol, S. Lee, J. Park, and K. G. Kim, "Automatic Control System for Precise Intravenous Therapy Using Computer Vision Based on Deep Learning," IEEE Access, vol. 11, pp. 121870-121881, 2023/10// 2023, doi: 10.1109/access.2023.3328568.

[11] J. W. Seo et al., "Artificial intelligence-based iliofemoral deep venous thrombosis detection using a clinical approach," Scientific reports, vol. 13, no. 1, pp. 967-967, 2023/1// 2023, doi: 10.1038/s41598-022-25849-0.

[12] H.-W. Seo, K. Yoon, S. Lee, W.-S. Lee, and K. G. Kim, "Design of a Miniature Observation Robot for Light Emitting Diode Irradiation and Indocyanine Green Fluorescence-emission Guided Lymph Node Monitoring in Operating Rooms," Surgical innovation, vol. 30, no. 6, pp. 766-769, 2023/12// 2023, doi: 10.1177/15533506231206871.

[13] S. H. Park et al., "Comparison between single and serial computed tomography images in classification of acute appendicitis, acute right-sided diverticulitis, and normal appendix using EfficientNet," PloS one, vol. 18, no. 5, pp. e0281498-e0281498, 2023/5// 2023, doi: 10.1371/journal.pone.0281498.

[14] S. Oh et al., "Deep learning-based prediction of osseointegration for dental implant using plain radiography," BMC oral health, vol. 23, no. 1, pp. 208-208, 2023/4// 2023, doi: 10.1186/s12903-023-02921-3.

[15] S. M. Lee, K. Yoon, S. Lee, S. Y. Ryu, and K. G. Kim, "Multi-Asymmetric Irradiation Method Using a Ring Array to Obtain an Emission-Capable LED Beam Power Effect to Observe Cancer Removal Status in a Surgical Microscope," Diagnostics, vol. 13, no. 22, 2023/11// 2023, doi: 10.3390/diagnostics13223482.

[16] M. S. Lee et al., "Transitional zone prostate cancer: Performance of texture-based machine learning and image-based deep learning," Medicine, vol. 102, no. 39, pp. e35039-e35039, 2023/9// 2023, doi: 10.1097/MD.0000000000035039.

[17] J. S. Lee, K. G. Kim, and Y. C. Yoon, "Biomechanical performance evaluation of a modified proximal humerus locking plate for distal humerus shaft fracture using finite element analysis," Scientific Reports, vol. 13, no. 1, 2023/12// 2023, doi: 10.1038/s41598-023-43183-x.

[18] J. Lee, S. Kwon, J. H. Kim, and K. G. Kim, "Development of an Automatic Pill Image Data Generation System," Healthcare Informatics Research, vol. 29, no. 1, pp. 84-88, 2023/1// 2023, doi: 10.4258/hir.2023.29.1.84.

[19] G. P. Lee, S. H. Park, Y. J. Kim, J. W. Chung, and K. G. Kim, "Enhancing Disease Classification in Abdominal CT Scans through RGB Superposition Methods and 2D Convolutional Neural Networks: A Study of Appendicitis and Diverticulitis," Computational and Mathematical Methods in Medicine, vol. 2023, 2023, doi: 10.1155/2023/7714483.

[20] G. P. Lee, Y. J. Kim, D. K. Park, Y. J. Kim, S. K. Han, and K. G. Kim, "Gastro-BaseNet: A Specialized Pre-Trained Model for Enhanced Gastroscopic Data Classification and Diagnosis of Gastric Cancer and Ulcer," Diagnostics (Basel, Switzerland), vol. 14, no. 1, 2023/12// 2023, doi: 10.3390/diagnostics14010075.

[21] Y.-T. Kim, T. S. Jeong, Y. J. Kim, W. S. Kim, K. G. Kim, and G. T. Yee, "Automatic Spine Segmentation and Parameter Measurement for Radiological Analysis of Whole-Spine Lateral Radiographs Using Deep Learning and Computer Vision," Journal of digital imaging, vol. 36, no. 4, pp. 1447-1459, 2023/8// 2023, doi: 10.1007/s10278-023-00830-z.

[22] M. J. Kim et al., "Long-term sentinel surveillance of enteroviruses in Gwangju, South Korea, 2011–2020," Scientific Reports, vol. 13, no. 1, 2023/12// 2023, doi: 10.1038/s41598-023-29461-8.

[23] M. C. Kim, K. Yoon, and K. G. Kim, "Semi-Permanent Use of Indocyanine Green Latex Phantom for Fluorescence Emission," Surgical innovation, vol. 30, no. 5, pp. 650-653, 2023/10// 2023, doi: 10.1177/15533506231157173.

[24] C. H. Kim, M. J. Chung, Y. K. Cha, S. Oh, K. G. Kim, and H. Yoo, "The impact of deep learning reconstruction in low dose computed tomography on the evaluation of interstitial lung disease," PLoS ONE, vol. 18, no. 9 September, 2023/9// 2023, doi: 10.1371/journal.pone.0291745.

[25] M. Ju, K. Yoon, S. Lee, and K. G. Kim, "Single Quasi-Symmetrical LED with High Intensity and Wide Beam Width Using Diamond-Shaped Mirror Refraction Method for Surgical Fluorescence Microscope Applications," Diagnostics (Basel, Switzerland), vol. 13, no. 17, 2023/8// 2023, doi: 10.3390/diagnostics13172763.

[26] Y. Jeon et al., "Machine learning based prediction of recurrence after curative resection for rectal cancer," PloS one, vol. 18, no. 12, pp. e0290141-e0290141, 2023, doi: 10.1371/journal.pone.0290141.

[27] K. Yoon, J. Seol, and K. G. Kim, "Removal of Specular Reflection Using Angle Adjustment of Linear Polarized Filter in Medical Imaging Diagnosis," Diagnostics, vol. 12, no. 4, pp. 863-863, 2022/3// 2022, doi: 10.3390/diagnostics12040863.

[28] K. Yoon, K. G. Kim, and T. H. Lee, "Miniaturized Bandpass Filter Using a Combination of T–Shaped Folded SIR Short Loaded Stubs," Sensors, vol. 22, no. 7, 2022/4// 2022, doi: 10.3390/s22072708.

[29] K. Yoon, K. G. Kim, J. W. Chung, and W. S. Lee, "Clip–Detector Using a Neodymium Magnet to Locate Malignant Tumors during Laparoscopic Surgery," Sensors, vol. 22, no. 14, 2022/7// 2022, doi: 10.3390/s22145404.

[30] K. Yoon, K. G. Kim, J.-W. Chung, and W. S. Lee, "Clip-Detector Using a Neodymium Magnet to Locate Malignant Tumors during Laparoscopic Surgery," Sensors (Basel, Switzerland), vol. 22, no. 14, 2022/7// 2022, doi: 10.3390/s22145404.

[31] K. Yoon, J.-W. Chung, and K. G. Kim, "A Metal Detector for Clip Location Tracking of Stomach and Colon Cancer during Laparoscopic Surgery," Applied Sciences, vol. 12, no. 14, pp. 7330-7330, 2022/7// 2022, doi: 10.3390/app12147330.

[32] K. Yoon, S. M. Cho, and K. G. Kim, "Coupling Effect Suppressed Compact Surgical Robot with 7-Axis Multi-Joint Using Wire-Driven Method," Mathematics, vol. 10, no. 10, 2022/5// 2022, doi: 10.3390/math10101698.

[33] J. H. Shim, W. S. Kim, K. G. Kim, G. T. Yee, Y. J. Kim, and T. S. Jeong, "Evaluation of U-Net models in automated cervical spine and cranial bone segmentation using X-ray images for traumatic atlanto-occipital dislocation diagnosis," Scientific Reports, vol. 12, no. 1, 2022/12// 2022, doi: 10.1038/s41598-022-23863-w.

[34] Y. J. Seol, S. H. Park, Y. J. Kim, Y. T. Park, H. Y. Lee, and K. G. Kim, "The Development of an Automatic Rib Sequence Labeling System on Axial Computed Tomography Images with 3-Dimensional Region Growing," Sensors, vol. 22, no. 12, 2022/6// 2022, doi: 10.3390/s22124530.

[35] Y. J. Seol, Y. J. Y. S. Y. J. Kim, Y. J. Y. S. Y. J. Kim, Y. W. Cheon, and K. G. Kim, "A Study on 3D Deep Learning-Based Automatic Diagnosis of Nasal Fractures," Sensors, vol. 22, no. 2, pp. 506-506, 2022/1// 2022, doi: 10.3390/s22020506.

[36] J. Seol, K.-C. Yoon, J. Park, and K. G. Kim, "Design of an Automatic Jackson-Pratt Drain Auxiliary System for Postoperative Management Applications," Surgical innovation, pp. 15533506221108303-15533506221108303, 2022/6// 2022, doi: 10.1177/15533506221108303.

[37] J. Seol, K. Yoon, and K. G. Kim, "Mathematical Analysis and Motion Capture System Utilization Method for Standardization Evaluation of Tracking Objectivity of 6-DOF Arm Structure for Rehabilitation Training Exercise Therapy Robot," Diagnostics (Basel, Switzerland), vol. 12, no. 12, 2022/12// 2022, doi: 10.3390/diagnostics12123179.

[38] J. W. Seo, S. H. Lim, J. G. Jeong, Y. J. Kim, K. G. Kim, and J. Y. Jeon, "Author Correction: A deep learning algorithm for automated measurement of vertebral body compression from X-ray images (Scientific Reports, (2021), 11, 1, (13732), 10.1038/s41598-021-93017-x)," in Scientific Reports vol. 12, ed: Nature Research, 2022.

[39] Y. T. Park, Y. J. Kim, and K. G. Kim, "Factors Associated with Website Operation among Small Hospitals and Medical and Dental Clinics in Korea," Healthcare Informatics Research, vol. 28, no. 4, pp. 355-363, 2022/10// 2022, doi: 10.4258/hir.2022.28.4.355.

[40] S.-H. H. Lim, Y. J. Kim, Y.-H. H. Park, D. Kim, K. G. Kim, and D.-H. Lee, "Automated pancreas segmentation and volumetry using deep neural network on computed tomography," Scientific Reports, vol. 12, no. 1, pp. 1-9, 2022, doi: 10.1038/s41598-022-07848-3.

[41] S.-H. Lim et al., "Aux-MVNet: Auxiliary Classifier-Based Multi-View Convolutional Neural Network for Maxillary Sinusitis Diagnosis on Paranasal Sinuses View," Diagnostics, vol. 12, no. 3, pp. 736-736, 2022/3// 2022, doi: 10.3390/diagnostics12030736.

[42] T.-H. Lee, K.-C. Yoon, and K. G. Kim, "Miniaturized Dual-Band Bandpass Filter Using T-Shaped Line Based on Stepped Impedance Resonator with Meander Line and Folded Structure," Electronics, vol. 11, no. 2, pp. 219-219, 2022/1// 2022, doi: 10.3390/electronics11020219.

[43] S. Lee, K. Yoon, J. Kim, and K. G. Kim, "Reduction of Specular Reflection Based on Linear Polarization Control for Fluorescence-Induced Diagnostic Evaluation," Diagnostics, vol. 12, no. 8, pp. 1990-1990, 2022, doi: 10.3390/diagnostics12081990.

[44] S. Lee, K. Yoon, J. Kim, and K. G. Kim, "Specular Reflection Suppression through the Adjustment of Linear Polarization for Tumor Diagnosis Using Fluorescein Sodium," Sensors (Basel, Switzerland), vol. 22, no. 17, 2022, doi: 10.3390/s22176651.

[45] J. S. Lee, J. H. Kim, K. G. Kim, and Y. C. Yoon, "Effect of Calcar Screw in Locking Compression Plate System for Osteoporotic Proximal Humerus Fracture: A Finite Element Analysis Study," BioMed research international, vol. 2022, pp. 1268774-1268774, 2022, doi: 10.1155/2022/1268774.

[46] H. M. Lee, Y. J. Kim, and K. G. Kim, "Characteristics in Chest X-ray Using Deep Learning," 2022.

[47] H. M. Lee, Y. J. Kim, and K. G. Kim, "Segmentation Performance Comparison Considering Regional Characteristics in Chest X-ray Using Deep Learning," Sensors (Basel, Switzerland), vol. 22, no. 9, 2022/4// 2022, doi: 10.3390/s22093143.

[48] H. M. Lee, Y. J. Kim, J. B. Cho, J. Y. Jeon, and K. G. Kim, "Computer-Aided Diagnosis for Determining Sagittal Spinal Curvatures Using Deep Learning and Radiography," Journal of Digital Imaging, 2022, doi: 10.1007/s10278-022-00592-0.

[49] S. Y. Kwon, K.-C. Yoon, and K. G. Kim, "Design of the Optical Dual-Band Filter for Emission of Dual Fluorescein Through the Irradiation of Single Optical Source," Surgical Innovation, pp. 155335062110530-155335062110530, 2022/3// 2022, doi: 10.1177/15533506211053070.

[50] Y. J. Kim and Y. J. Kim, "Understanding and Application of Multi-Task Learning in Medical Artificial Intelligence," vol. 83, no. 6, pp. 1208-1218, 2022.

[51] Y. J. Kim and K. G. Kim, "[Understanding and Application of Multi-Task Learning in Medical Artificial Intelligence]," Journal of the Korean Society of Radiology, vol. 83, no. 6, pp. 1208-1218, 2022/11// 2022, doi: 10.3348/jksr.2022.0155.

[52] Y. J. Kim and K. G. Kim, "Detection and Weak Segmentation of Masses in Gray-Scale Breast Mammogram Images Using Deep Learning," Yonsei Medical Journal, vol. 63, no. Suppl, pp. S63-S63, 2022/1// 2022, doi: 10.3349/ymj.2022.63.S63.

[53] Y. J. Kim, W. Ju, K. H. Nam, S. N. Kim, Y. J. Kim, and K. G. Kim, "RGB Channel Superposition Algorithm with Acetowhite Mask Images in a Cervical Cancer Classification Deep Learning Model," Sensors (Basel, Switzerland), vol. 22, no. 9, 2022/5// 2022, doi: 10.3390/s22093564.

[54] Y. Kim, J. Seol, H. Lee, J. Lee, J. Park, and K. G. Kim, "Web-Based Intravenous Fluid Treatment Monitoring Platform in Nursing Station," Surgical Innovation, pp. 155335062110658-155335062110658, 2022/1// 2022, doi: 10.1177/15533506211065849.

[55] M. Kim, K. Yoon, and K. G. Kim, "Design of the Floating Hologram Method with a Reverse Pyramid Type for CT and MR Diagnosis in Clinical Room," Diagnostics (Basel, Switzerland), vol. 12, no. 5, 2022/5// 2022, doi: 10.3390/diagnostics12051157.

[56] J. H. Kim, Y. J. Kim, Y. J. Lee, J. Y. Hyon, S. B. Han, and K. G. Kim, "Automated histopathological evaluation of pterygium using artificial intelligence," British Journal of Ophthalmology, pp. bjophthalmol-320141, 2022/1// 2022, doi: 10.1136/bjophthalmol-2021-320141.

[57] Y. C. Kang, H. K. Yang, Y. J. Kim, J. M. Hwang, and K. G. Kim, "Automated Mathematical Algorithm for Quantitative Measurement of Strabismus Based on Photographs of Nine Cardinal Gaze Positions," BioMed Research International, vol. 2022, 2022, doi: 10.1155/2022/9840494.

[58] T. S. Jeong, G. T. Yee, K. G. Kim, Y. J. Kim, S. G. Lee, and W. K. Kim, "Automatically Diagnosing Skull Fractures Using an Object Detection Method and Deep Learning Algorithm in Plain Radiography Images," Journal of Korean Neurosurgical Society, 2022/6// 2022, doi: 10.3340/jkns.2022.0062.

[59] J. G. Jeong, S. Choi, Y. J. Kim, W. S. Lee, and K. G. Kim, "Deep 3D attention CLSTM U-Net based automated liver segmentation and volumetry for the liver transplantation in abdominal CT volumes," Scientific Reports, vol. 12, no. 1, 2022/12// 2022, doi: 10.1038/s41598-022-09978-0.

[60] J. H. Hwang, J. W. Seo, J. H. Kim, S. Park, Y. J. Kim, and K. G. Kim, "Comparison between Deep Learning and Conventional Machine Learning in Classifying Iliofemoral Deep Venous Thrombosis upon CT Venography," Diagnostics, vol. 12, no. 2, pp. 274-274, 2022/1// 2022, doi: 10.3390/diagnostics12020274.

[61] K.-C. Yoon, K. G. Kim, and S. H. Lee, "A surgical pen-type probe design for real-time optical diagnosis of tumor status using 5-aminolevulinic acid," 2021, doi: 10.20944/preprints202104.0573.v1.

[62] K.-C. Yoon, K. G. Kim, and S. H. Lee, "Design of a Surgical Pen-Type Probe for Real-Time Indocyanine Green Fluorescence Emission Diagnosis," Journal of Medical Devices, vol. 15, no. 4, pp. 1-13, 2021/9// 2021, doi: 10.1115/1.4052587.

[63] K.-C. Yoon, K. G. Kim, D. C. Lee, and S. J. Yoon, "Smart syringe using actuator and force sensor for epidural anesthesia injection," The International Journal of Artificial Organs, vol. 45, no. 3, pp. 039139882110665-039139882110665, 2021/12// 2021, doi: 10.1177/03913988211066501.

[64] K.-C. Yoon and K. G. Kim, "Manufacturing of a Gelatin Phantom with Lymphedema for Ultrasonic Imaging Measurement," Journal of Engineering and Science in Medical Diagnostics and Therapy, vol. 4, no. November, pp. 1-6, 2021, doi: 10.1115/1.4052661.

[65] K.-C. Yoon and K. G. Kim, "NIR Irradiation Based on Low-Power LED Drive Module Design for Fat Reduction," BioMed Research International, vol. 2021, pp. 1-9, 2021/8// 2021, doi: 10.1155/2021/9992095.

[66] K.-c. Yoon, K.-G. Kim, J.-w. Chung, and B.-s. Kim, "Low-Phase-Noise Oscillator Using a High-QL Resonator with Split-Ring Structure and Open-Loaded T-Type Stub for a Tumor-Location-Tracking Sensor," Applied Sciences, vol. 11, no. 23, pp. 11550-11550, 2021/12// 2021, doi: 10.3390/app112311550.

[67] K.-c. Yoon, K. Kim, and S. Lee, "A Surgical Pen-Type Probe Design for Real-Time Optical Diagnosis of Tumor Status Using 5-Aminolevulinic Acid," Diagnostics, vol. 11, no. 6, pp. 1014-1014, 2021/6// 2021, doi: 10.3390/diagnostics11061014.

[68] K. Yoon and K. Kim, "Compact Size of an Interdigital Band-Pass Filter with Flexible Bandwidth and Low Insertion-Loss Using a Folded Spiral and Stepped Impedance Resonant Structure," Electronics, vol. 10, no. 16, pp. 2003-2003, 2021/8// 2021, doi: 10.3390/electronics10162003.

[69] K. Yoon and K. Kim, "Design of Dual Ultra – Wideband Band – Pass Filter Using Stepped Impedance Resonator λ g / 4 Short Stubs and T – Shaped Band-Stop Filter," electronics, 2021. [Online]. Available: https://www.mdpi.com/2079-9292/10/16/1951.

[70] J. Shim et al., "Safety and efficacy of Wharton's jelly-derived mesenchymal stem cells with teriparatide for osteoporotic vertebral fractures: A phase I/IIa study," Stem cells translational medicine, vol. 10, no. 4, pp. 554-567, 2021/4// 2021, doi: 10.1002/sctm.20-0308.

[71] J. W. Seo, S. H. Lim, J. G. Jeong, Y. J. Kim, K. G. Kim, and J. Y. Jeon, "A deep learning algorithm for automated measurement of vertebral body compression from X-ray images," Scientific Reports, vol. 11, no. 1, pp. 5641-5641, 2021/12// 2021, doi: 10.1038/s41598-021-93017-x.

[72] Y. R. Park, Y. J. Kim, W. Ju, K. Nam, S. Kim, and K. G. Kim, "Comparison of machine and deep learning for the classification of cervical cancer based on cervicography images," Scientific reports, vol. 11, no. 1, pp. 16143-16143, 2021/8// 2021, doi: 10.1038/s41598-021-95748-3.

[73] Y.-T. Park, J. Park, J. S. Jeon, Y. J. Kim, and K. G. Kim, "Changes in Nurse Staffing Grades of Korean Hospitals during COVID-19 Pandemic," International journal of environmental research and public health, vol. 18, no. 11, 2021/5// 2021, doi: 10.3390/ijerph18115900.

[74] S. Oh, Y.-J. J. Kim, Y.-T. T. Park, and K.-G. G. Kim, "Automatic pancreatic cyst lesion segmentation on eus images using a deep-learning approach," Sensors, vol. 22, no. 1, pp. 245-245, 2021/12// 2021, doi: 10.3390/s22010245.

[75] S.-H. Lim et al., ".Reproducibility of automated habenula segmentation via deep learning in major depressive disorder and normal controls with 7 Tesla MRI," Scientific reports, vol. 11, no. 1, pp. 13445-13445, 2021/6// 2021, doi: 10.1038/s41598-021-92952-z.

[76] J.-k. Lee, K.-c. Yoon, and K. G. Kim, "Design of a Remote Monitoring System Based on Optical Sensors to Prevent Medical Accidents during Fluid Treatment," Applied Sciences, vol. 11, no. 21, pp. 10124-10124, 2021/10// 2021, doi: 10.3390/app112110124.

[77] J. Lee, S. Kwon, J. Park, and K. G. Kim, "Design of Automatic Isolated Medical Waste Bin Cover for Drying Waste," Surgical innovation, pp. 15533506211033139-15533506211033139, 2021/7// 2021, doi: 10.1177/15533506211033139.

[78] J. Lee et al., "Longitudinal changes in skeletal muscle mass in patients with advanced squamous cell lung cancer," Thoracic Cancer, no. February, pp. 1-6, 2021, doi: 10.1111/1759-7714.13958.

[79] T. W. Kwon et al., "Diagnostic performance of artificial intelligence model for pneumonia from chest radiography," PLoS ONE, vol. 16, no. 4 April, 2021, doi: 10.1371/journal.pone.0249399.

[80] S. Y. Kwon, K.-C. Yoon, and K. G. Kim, "Reduction of Reflected Light On Fluorescence Emission for Indocyanine Green," Journal of Engineering and Science in Medical Diagnostics and Therapy, vol. 5, no. February, 2021, doi: 10.1115/1.4052945.

[81] S. Y. Kwon, K.-C. Yoon, and K. G. Kim, "Dual Fluorescence Emission by Irradiation of Single Optical Source for Fluorescein Sodium and 5-ALA Applications," Journal of Engineering and Science in Medical Diagnostics and Therapy, vol. 5, no. February, pp. 1-5, 2021, doi: 10.1115/1.4052665.

[82] y. J. Kin, E. Y. Yoo, and K. G. Kim, "Deep Learning Based Pectoral Muscle Segmentation on MIAS Mammograms," Diagnostics, 2021, doi: doi.org/10.21203/rs.3.rs-92779/v1.

[83] Y. J. Y. J. Kim et al., "Contrast, visibility, and color balance between the microscope versus intracameral illumination in cataract surgery using a 3D visualization system," Indian journal of ophthalmology, vol. 69, no. 4, pp. 927-931, 2021, doi: 10.4103/ijo.IJO_1825_20.

[84] Y. J. Kim, E. Y. Yoo, and K. G. Kim, "Deep learning based pectoral muscle segmentation on Mammographic Image Analysis Society (MIAS) mammograms," Precision and Future Medicine, vol. 5, no. 2, pp. 77-82, 2021, doi: 10.23838/pfm.2020.00170.

[85] Y. J. Kim, S. R. Lee, J.-Y. Choi, and K. G. Kim, "Using Convolutional Neural Network with Taguchi Parametric Optimization for Knee Segmentation from X-Ray Images," BioMed research international, vol. 2021, pp. 5521009-5521009, 2021, doi: 10.1155/2021/5521009.

[86] Y. J. Kim, J. S. Jeon, S.-E. Cho, K. G. Kim, and S.-G. Kang, "Prediction Models for Obstructive Sleep Apnea in Korean Adults Using Machine Learning Techniques," Diagnostics (Basel, Switzerland), vol. 11, no. 4, pp. 612-612, 2021/3// 2021, doi: 10.3390/diagnostics11040612.

[87] Y. J. Kim, J. P. Bae, J.-W. Chung, D. K. Park, K. G. Kim, and Y. J. Kim, "New polyp image classification technique using transfer learning of network-in-network structure in endoscopic images," Scientific reports, vol. 11, no. 1, pp. 3605-3605, 2021/2// 2021, doi: 10.1038/s41598-021-83199-9.

[88] M. Kim et al., "Machine learning models to identify low adherence to influenza vaccination among Korean adults with cardiovascular disease," BMC cardiovascular disorders, vol. 21, no. 1, pp. 129-129, 2021, doi: 10.1186/s12872-021-01925-7.

[89] J. Kim, K. Yoon, and K. Kim, "Design of a Long-Pass Filter with Effects on Fluorescence Image Observation for Surgical Fluorescence Microscope Applications," Symmetry, vol. 13, no. 9, pp. 1571-1571, 2021/8// 2021, doi: 10.3390/sym13091571.

[90] E. Y. Kim, Y. J. Kim, Y. S. Kim, K. W. Kim, J. Y. Jeon, and K. G. Kim, "Prognostic significance of radiodensity-based skeletal muscle quantification using preoperative CT in resected non-small cell lung cancer," Journal of thoracic disease, vol. 13, no. 2, pp. 754-761, 2021/2// 2021, doi: 10.21037/jtd-20-2344.

[91] D. H. Kim, J. G. Jeong, Y. J. Kim, K. G. Kim, and J. Y. Jeon, "Automated Vertebral Segmentation and Measurement of Vertebral Compression Ratio Based on Deep Learning in X-Ray Images," Journal of digital imaging, 2021/7// 2021, doi: 10.1007/s10278-021-00471-0.

[92] D. Kim, W. Hwang, J. Bae, H. Park, and K. G. Kim, "Video Archiving and Communication System (VACS): A Progressive Approach, Design, Implementation, and Benefits for Surgical Videos," Healthcare informatics research, vol. 27, no. 2, pp. 162-167, 2021/4// 2021, doi: 10.4258/hir.2021.27.2.162.

[93] E. H. Jung et al., "Change in the eye position under general anesthesia in children with intermittent exotropia," Journal of AAPOS, 2021/3// 2021, doi: 10.1016/j.jaapos.2020.09.008.

[94] S. I. Jang et al., "Diagnostic performance of endoscopic ultrasound?artificial intelligence using deep learning analysis of gallbladder polypoid lesions," Journal of Gastroenterology and Hepatology, vol. 36, no. 12, pp. 3548-3555, 2021/12// 2021, doi: 10.1111/jgh.15673.

[95] J. Cho et al., "Deep Learning-Based Computer-Aided Detection System for Automated Treatment Response Assessment of Brain Metastases on 3D MRI," Frontiers in Oncology, vol. 11, no. October, pp. 1-10, 2021, doi: 10.3389/fonc.2021.739639.

[96] J. W. Baik et al., "Intraoperative Label?Free Photoacoustic Histopathology of Clinical Specimens," Laser & Photonics Reviews, vol. 15, no. 10, pp. 2100124-2100124, 2021/8// 2021, doi: 10.1002/lpor.202100124.

[97] �Ǽ���, ����ö, and �豤��, "Design of the optical dual-band filter for emission of dual fluorescein through the irradiation of single optical source," Surgical innovation, 2021.

[98] J. Yoon et al., "Distribution and Characteristics of Pancreatic Volume Using Computed Tomography Volumetry," Healthcare informatics research, vol. 26, no. 4, pp. 321-327, 2020/10// 2020, doi: 10.4258/hir.2020.26.4.321.

[99] H. K. Yang, Y. J. Lee, J. Y. Hyon, K. G. Kim, and S. B. Han, "Efficacy of bevacizumab injection after pterygium excision and limbal conjunctival autograft with limbal fixation suture," Graefe's Archive for Clinical and Experimental Ophthalmology, 2020/4// 2020, doi: 10.1007/s00417-020-04704-w.

[100] H. K. Yang, Y. J. Kim, J. Y. Sung, D. H. Kim, K. G. Kim, and J.-M. Hwang, "Efficacy for Differentiating Nonglaucomatous Versus Glaucomatous Optic Neuropathy Using Deep Learning Systems," American Journal of Ophthalmology, vol. 216, pp. 140-146, 2020/8// 2020, doi: 10.1016/j.ajo.2020.03.035.

[101] I. Shin et al., "Application of machine learning to ultrasound images to differentiate follicular neoplasms of the thyroid gland," Ultrasonography (Seoul, Korea), vol. 39, no. 3, pp. 257-265, 2020/7// 2020, doi: 10.14366/usg.19069.

[102] J. H. Lee, Y. J. Kim, and K. G. Kim, "Bone age estimation using deep learning and hand X-ray images," Biomedical engineering letters, vol. 10, no. 3, pp. 323-331, 2020/8// 2020, doi: 10.1007/s13534-020-00151-y.

[103] J.-Y. Y. J. Lee, J.-Y. Y. J. Lee, S.-M. M. Cho, K.-C. C. Yoon, Y. J. Kim, and K. G. Kim, "Design of Automatic Hand Sanitizer System Compatible with Various Containers," Healthcare informatics research, vol. 26, no. 3, pp. 243-247, 2020/7// 2020, doi: 10.4258/hir.2020.26.3.243.

[104] Y. J. Kim and K. G. Kim, "Development of an Optimized Deep Learning Model for Medical Imaging," Journal of the Korean Society of Radiology, vol. 81, no. 6, pp. 1274-1274, 2020, doi: 10.3348/jksr.2020.0171.

[105] Y. J. Kim, B. Ganbold, and K. G. Kim, "Web-Based Spine Segmentation Using Deep Learning in Computed Tomography Images," Healthcare informatics research, vol. 26, no. 1, pp. 61-67, 2020/1// 2020, doi: 10.4258/hir.2020.26.1.61.

[106] J. Kil, K. G. Kim, Y. J. Kim, H. R. Koo, and J. S. Park, "Deep learning in thyroid ultrasonography to predict tumor recurrence in thyroid cancers," Journal of the Korean Society of Radiology, vol. 81, no. 5, pp. 1164-1174, 2020, doi: 10.3348/JKSR.2019.0147.

[107] Y. Chung et al., "Development of an Automated Image Analyzer for Microvessel Density Measurement in Bone Marrow Biopsies," Annals of Laboratory Medicine, vol. 40, no. 4, pp. 312-312, 2020/7// 2020, doi: 10.3343/alm.2020.40.4.312.

[108] T. Chung, K.-C. Yoon, K. G. Kim, S. H. Lee, and H. Yoo, "A design of brain port with a built-in bi-directional check valve improves the ventriculostomy," The International Journal of Artificial Organs, vol. 43, no. 5, pp. 348-353, 2020/5// 2020, doi: 10.1177/0391398819889366.

[109] Y. I. Choi et al., "Development of Machine Learning Model to Predict the 5-Year Risk of Starting Biologic Agents in Patients with Inflammatory Bowel Disease (IBD): K-CDM Network Study," Journal of Clinical Medicine, vol. 9, no. 11, pp. 3427-3427, 2020/10// 2020, doi: 10.3390/jcm9113427.

[110] U. Y. Choi et al., "Safety and Tolerability of Stromal Vascular Fraction Combined with β-Tricalcium Phosphate in Posterior Lumbar Interbody Fusion: Phase I Clinical Trial," Cells, vol. 9, no. 10, pp. 2250-2250, 2020/10// 2020, doi: 10.3390/cells9102250.

[111] K. C. Yoon and K. G. Kim, "Optical bandpass filter with adjustable reflection using a thin-film thickness for surgical fluorescein image-guided microscopy applications," Microwave and Optical Technology Letters, vol. 61, no. 4, pp. 1126-1131, 2019/4// 2019, doi: 10.1002/mop.31684.

[112] K. C. Yoon and K. G. Kim, "Optical bandpass filter with adjustable reflection using a thin?film thickness for surgical fluorescein image?guided microscopy applications," Microwave and Optical Technology Letters, vol. 61, no. 4, pp. 1126-1131, 2019/4// 2019, doi: 10.1002/mop.31684.

[113] K. C. Yoon, T. Chung, K. G. Kim, and H. Yoo, "Compact size of a Wilkinson power divider using impedance coordinate tracking based on T?shaped line," Microwave and Optical Technology Letters, vol. 61, no. 8, pp. 1964-1967, 2019/8// 2019, doi: 10.1002/mop.31750.

[114] K.-C. Yoon and K. G. Kim, "Miniaturization of a single?ended mixer using T?shaped Wilkinson power combiner for medical wireless communication applications," Microwave and Optical Technology Letters, vol. 61, no. 8, pp. 1977-1982, 2019/8// 2019, doi: 10.1002/mop.31788.

[115] K. Yoon, E. Kim, K. Kim, S. Lee, and H. Yoo, "A multi-detection fluorescence dye with 5-ALA and ICG using modified light emitting diodes," Current Optics and Photonics, vol. 3, no. 3, 2019, doi: 10.3807/COPP.2019.3.3.256.

[116] Y. J. Yoo, H. K. Yang, J.-M. Seo, K. G. Kim, and J.-M. Hwang, "Infrared photographs with a selective wavelength filter to diagnose small-angle esotropia in young children," Graefe's Archive for Clinical and Experimental Ophthalmology, vol. 257, no. 3, pp. 645-650, 2019/3// 2019, doi: 10.1007/s00417-019-04240-2.

[117] H. K. Yang, J. E. Oh, S. B. Han, K. G. Kim, and J.-M. Hwang, "Automatic computer?aided analysis of optic disc pallor in fundus photographs," Acta Ophthalmologica, vol. 97, no. 4, pp. e519-e525, 2019/6// 2019, doi: 10.1111/aos.13970.

[118] J. H. Lee et al., "Spotting malignancies from gastric endoscopic images using deep learning," Surgical Endoscopy, vol. 33, no. 11, pp. 3790-3797, 2019/11// 2019, doi: 10.1007/s00464-019-06677-2.

[119] Y. J. Y. J. Kim et al., "Light exposure from microscope versus intracameral illumination during cataract surgery," Indian journal of ophthalmology, vol. 67, no. 10, pp. 1624-1627, 2019/10// 2019, doi: 10.4103/ijo.IJO_316_19.

[120] Y. J. Kim, H. K. Yang, Y. J. Lee, J. Y. Hyon, K. G. Kim, and S. B. Han, "Efficacy of a new automated method for quantification of corneal neovascularisation," British Journal of Ophthalmology, pp. bjophthalmol-314711, 2019/10// 2019, doi: 10.1136/bjophthalmol-2019-314711.

[121] Y. J. Kim, H.-J. Lee, K. G. Kim, and S. H. Lee, "The Effect of CT Scan Parameters on the Measurement of CT Radiomic Features: A Lung Nodule Phantom Study," Computational and Mathematical Methods in Medicine, vol. 2019, pp. 8790694-8790694, 2019/2// 2019, doi: 10.1155/2019/8790694.

[122] Y.-J. Kim, C.-K. Park, and K. G. Kim, "Gain determination of feedback force for an ultrasound scanning robot using genetic algorithm," International Journal of Computer Assisted Radiology and Surgery, vol. 14, no. 5, pp. 797-807, 2019/5// 2019, doi: 10.1007/s11548-019-01915-3.

[123] H. S. Kim, Y. J. Kim, K. G. Kim, and J. S. Park, "Preoperative CT texture features predict prognosis after curative resection in pancreatic cancer," Scientific reports, vol. 9, no. 1, pp. 17389-17389, 2019/12// 2019, doi: 10.1038/s41598-019-53831-w.

[124] H. Kim et al., "The prognostic implications of EGFR mutation and ALK rearrangement for the long?term outcomes of patients with resected lung adenocarcinomas," Thoracic Cancer, vol. 10, no. 7, pp. 1619-1627, 2019/7// 2019, doi: 10.1111/1759-7714.13128.

[125] J. S. Jung, S. J. Park, E. Y. Kim, K.-S. Na, Y. J. Kim, and K. G. Kim, "Prediction models for high risk of suicide in Korean adolescents using machine learning techniques," PLOS ONE, vol. 14, no. 6, pp. e0217639-e0217639, 2019/6// 2019, doi: 10.1371/journal.pone.0217639.

[126] Y.-s. Dho et al., "Positional effect of preoperative neuronavigational magnetic resonance image on accuracy of posterior fossa lesion localization," Journal of Neurosurgery, pp. 1-10, 2019/7// 2019, doi: 10.3171/2019.4.JNS1989.

[127] Y. I. Choi et al., "Development of machine learning model to predict the risk of 5- year disease related outcomes in patients with inflammatory bowel disease Table of Contents," Journal of Medical Internet Research, 2019.

[128] W. Lee et al., "Investigation of Blood Flow During Intermittent Pneumatic Compression and Proposal of a New Compression Protocol," Clinical and Applied Thrombosis/Hemostasis, vol. 24, no. 2, pp. 338-347, 2018/3// 2018, doi: 10.1177/1076029616683044.

[129] S. R. Lee, Y. J. Kim, and K. G. Kim, "A Fast 3-Dimensional Magnetic Resonance Imaging Reconstruction for Surgical Planning of Uterine Myomectomy," Journal of Korean Medical Science, vol. 33, no. 2, pp. e12-e12, 2018/1// 2018, doi: 10.3346/jkms.2018.33.e12.

[130] Y. J. Kim, S. H. Lee, K. Y. Lim, and K. G. Kim, "Development and Validation of Segmentation Method for Lung Cancer Volumetry on Chest CT," Journal of Digital Imaging, vol. 31, no. 4, pp. 505-512, 2018/8// 2018, doi: 10.1007/s10278-018-0051-5.

[131] K. G. O. J. E. Kim, "Clustered Microcalcification detection in Digital Mammography for various Breast Densities," Journal of medical imaging and health informatics, vol. 8, no. xx, 2018, doi: 10.1166/jmihi.2018.2408.

[132] K. G. Kim, C. S. Park, S. H. Jeon, E. Y. Jung, J. Ha, and S. Lee, "Feasibility of a New Desktop Motion Analysis System with a Video Game Console for Assessing Various Three-Dimensional Wrist Motions," Clinics in Orthopedic Surgery, vol. 10, no. 4, pp. 468-468, 2018, doi: 10.4055/cios.2018.10.4.468.

[133] S. H. Chung and K. G. Kim, "Design of lymphedema ultrasound phantom with 3D-printed patient-specific subcutaneous anatomy: A-mode analysis approach for early diagnosis," Physica Medica, vol. 55, pp. 73-81, 2018/11// 2018, doi: 10.1016/j.ejmp.2018.10.019.

[134] B. H. Choi, Y. J. Kim, S. J. Choi, and K. G. Kim, "CT ���󿡼��� AlexNet �� VggNet �� �̿��� ���� ���� �з� ���� Malignant and Benign Classification of Liver Tumor in CT according to Data pre-processing and Deep running model," Journal of Biomedical Engineering Research, vol. 8, pp. 1-8, 2018, doi: https://doi.org/10.9718/JBER.2018.39.6.229.

[135] Y. H. Byun et al., "A Novel Implantable Cerebrospinal Fluid Reservoir : A Pilot Study," Journal of Korean Neurosurgical Society, vol. 61, no. 5, pp. 640-644, 2018/9// 2018, doi: 10.3340/jkns.2018.0098.

[136] H. J. Baek et al., "Inhibition of AKT suppresses the initiation and progression of BRCA1 -associated mammary tumors," International Journal of Biological Sciences, vol. 14, no. 13, pp. 1769-1781, 2018, doi: 10.7150/ijbs.29242.

[137] H. J. Baek et al., "Inhibition of Estrogen Signaling Reduces the Incidence of BRCA1 -associated Mammary Tumor Formation," International Journal of Biological Sciences, vol. 14, no. 12, pp. 1755-1768, 2018, doi: 10.7150/ijbs.28142.

[138] J. S. Yoo et al., "Computed tomography-based quantitative assessment of lower extremity lymphedema following treatment for gynecologic cancer," Journal of Gynecologic Oncology, vol. 28, no. 2, pp. e18-e18, 2017/3// 2017, doi: 10.3802/jgo.2017.28.e18.

[139] L. Sunwoo et al., "Computer-aided detection of brain metastasis on 3D MR imaging: Observer performance study," Plos One, vol. 12, no. 6, pp. e0178265-e0178265, 2017, doi: 10.1371/journal.pone.0178265.

[140] J.-k. Seo, Y. J. Kim, K. G. Kim, I. Shin, J. H. Shin, and J. Y. Kwak, "Differentiation of the Follicular Neoplasm on the Gray-Scale US by Image Selection Subsampling along with the Marginal Outline Using Convolutional Neural Network," BioMed research international, vol. 2017, pp. 3098293-3098293, 2017, doi: 10.1155/2017/3098293.

[141] H. Lee, K. G. Kim, J. H. Seo, and D. K. Sohn, "Natural orifice transluminal endoscopic surgery with a snake-mechanism using a movable pulley," The International Journal of Medical Robotics and Computer Assisted Surgery, vol. 13, no. 4, pp. e1816-e1816, 2017/12// 2017, doi: 10.1002/rcs.1816.

[142] Y. J. Kim, J. H. Seo, H. R. Kim, and K. G. Kim, "Impedance and admittance control for respiratory-motion compensation during robotic needle insertion – a preliminary test," International Journal of Medical Robotics and Computer Assisted Surgery, vol. 13, no. 4, pp. 1-10, 2017, doi: 10.1002/rcs.1795.

[143] Y. J. Kim, J. H. Seo, H. R. Kim, and K. G. Kim, "Development of a control algorithm for the ultrasound scanning robot (NCCUSR) using ultrasound image and force feedback," The International Journal of Medical Robotics and Computer Assisted Surgery, vol. 13, no. 2, pp. e1756-e1756, 2017/6// 2017, doi: 10.1002/rcs.1756.

[144] Y. J. Kim, K. G. Kim, S. R. Lee, S. H. Lee, and B. C. Kang, "Preoperative 3-dimensional Magnetic Resonance Imaging of Uterine Myoma and Endometrium Before Myomectomy," Journal of Minimally Invasive Gynecology, vol. 24, no. 2, pp. 309-314, 2017/2// 2017, doi: 10.1016/j.jmig.2016.10.021.

[145] Y.-J. Kim, C.-K. Park, and K. G. Kim, "An EMG-based variable impedance control for elbow exercise: preliminary study," Advanced Robotics, vol. 31, no. 15, pp. 809-820, 2017/8// 2017, doi: 10.1080/01691864.2017.1353440.

[146] J. I. Kim, J. Y. Choi, K. G. Kim, and M. C. Lee, "Efficacy of JOINS on Cartilage Protection in Knee Osteoarthritis: Prospective Randomized Controlled Trial," Knee Surgery & Related Research, vol. 29, no. 3, pp. 217-224, 2017/9// 2017, doi: 10.5792/ksrr.17.004.

[147] W. B. Yoon, J. E. Oh, E. Y. Chae, H. H. Kim, S. Y. Lee, and K. G. Kim, "Automatic Detection of Pectoral Muscle Region for Computer-Aided Diagnosis Using MIAS Mammograms," BioMed Research International, vol. 2016, pp. 1-6, 2016, doi: 10.1155/2016/5967580.

[148] W. B. Yoon, H. Kim, K. G. Kim, Y. Choi, H. J. Chang, and D. K. Sohn, "Methods of Hematoxylin and Erosin Image Information Acquisition and Optimization in Confocal Microscopy," Healthcare Informatics Research, vol. 22, no. 3, pp. 238-238, 2016/7// 2016, doi: 10.4258/hir.2016.22.3.238.

[149] J.-y. Son et al., "Hepatic Steatosis: Assessment with Acoustic Structure Quantification of US Imaging," Radiology, vol. 278, no. 1, pp. 257-264, 2016/1// 2016, doi: 10.1148/radiol.2015141779.

[150] K. G. K. Seung-Won Shin, "The Role of Computer aided diagnosis in Meidical imaing," Center Asian journal of medical sciences, vol. 1, no. 1, pp. 5-15, 2016.

[151] G. Nam et al., "Development of Dual-Arm Anticancer Drug Compounding Robot and Preparation System with Adaptability and High-Speed," Journal of International Society for Simulation Surgery, vol. 3, no. 2, pp. 64-68, 2016, doi: 10.18204/jissis.2016.3.2.064.

[152] K.-C. Kwon, M.-U. Erdenebat, M. A. Alam, Y.-T. Lim, K. G. Kim, and N. Kim, "Integral imaging microscopy with enhanced depth-of-field using a spatial multiplexing," Optics Express, vol. 24, no. 3, pp. 2072-2072, 2016/2// 2016, doi: 10.1364/OE.24.002072.

[153] Y. J. Kim et al., "Computerized Automated Quantification of Subcutaneous and Visceral Adipose Tissue From Computed Tomography Scans: Development and Validation Study," JMIR Medical Informatics, vol. 4, no. 1, pp. e2-e2, 2016/2// 2016, doi: 10.2196/medinform.4923.

[154] Y. J. Kim, S. H. Lee, C. M. Park, and K. G. Kim, "Evaluation of Semi-automatic Segmentation Methods for Persistent Ground Glass Nodules on Thin-Section CT Scans," Healthcare Informatics Research, vol. 22, no. 4, pp. 305-305, 2016/10// 2016, doi: 10.4258/hir.2016.22.4.305.

[155] H. R. Kim, H. M. Lee, H. Yoo, S. H. Lee, and K. G. Kim, "Review of Neurosurgical Fluorescence Imaging Systems for Clinical Application," Journal of the Optical Society of Korea, vol. 20, no. 2, pp. 305-313, 2016/4// 2016, doi: 10.3807/JOSK.2016.20.2.305.

[156] J. H. Hyun et al., "A novel endoscopic fluorescent band ligation method for tumor localization," Surgical Endoscopy, vol. 30, no. 10, pp. 4659-4663, 2016/10// 2016, doi: 10.1007/s00464-016-4785-1.

[157] S. Hur et al., "Quantitative Assessment of Foot Blood Flow by Using Dynamic Volume Perfusion CT Technique: A Feasibility Study," Radiology, vol. 279, no. 1, pp. 195-206, 2016/4// 2016, doi: 10.1148/radiol.2015150560.

[158] N. Y. Hong, H. R. Kim, H. M. Lee, D. K. Sohn, and K. G. Kim, "Fluorescent property of indocyanine green (ICG) rubber ring using LED and laser light sources," Biomedical Optics Express, vol. 7, no. 5, pp. 1637-1637, 2016/5// 2016, doi: 10.1364/BOE.7.001637.

[159] S. B. Han, H. K. Yang, J. E. Oh, K. G. Kim, and J.-M. Hwang, "Efficacy of automated computer-aided diagnosis of retinal nerve fibre layer defects in healthcare screening," British Journal of Ophthalmology, pp. bjophthalmol-307527, 2016/6// 2016, doi: 10.1136/bjophthalmol-2015-307527.

[160] S. B. Han et al., "Risk Factors for Recurrence After Pterygium Surgery," Cornea, vol. 35, no. 8, pp. 1097-1103, 2016/8// 2016, doi: 10.1097/ICO.0000000000000853.

[161] S. B. Han et al., "Quantification of Astigmatism Induced by Pterygium Using Automated Image Analysis," Cornea, vol. 35, no. 3, pp. 370-376, 2016/3// 2016, doi: 10.1097/ICO.0000000000000728.

[162] C. N. Cho, S. H. Cho, S. Y. Cho, K. G. Kim, and S. J. Park, "A Novel Successive Suturing Device for Laparoscopic Surgery," Surgical Innovation, vol. 23, no. 4, pp. 390-396, 2016/8// 2016, doi: 10.1177/1553350616628682.

[163] J. Son et al., "A novel semi-automatic snake robot for natural orifice transluminal endoscopic surgery: preclinical tests in animal and human cadaver models (with video)," Surgical Endoscopy, vol. 29, no. 6, pp. 1643-1647, 2015/6// 2015, doi: 10.1007/s00464-014-3854-6.

[164] J. E. Oh, H. K. Yang, K. G. Kim, and J.-M. Hwang, "Automatic Computer-Aided Diagnosis of Retinal Nerve Fiber Layer Defects Using Fundus Photographs in Optic Neuropathy," Investigative Opthalmology & Visual Science, vol. 56, no. 5, pp. 2872-2872, 2015/5// 2015, doi: 10.1167/iovs.14-15096.

[165] C. Nho Cho, H. Jung, J. Son, and K. Gi Kim, "A Modular Control Scheme for Hyper-Redundant Robots," International Journal of Advanced Robotic Systems, vol. 12, no. 7, pp. 91-91, 2015/7// 2015, doi: 10.5772/60602.

[166] J. E. Lee et al., "Ligation of uterine vessels in total laparoscopic hysterectomy using Hem-o-lok clips," Taiwanese Journal of Obstetrics and Gynecology, vol. 54, no. 1, pp. 8-12, 2015/2// 2015, doi: 10.1016/j.tjog.2014.11.001.

[167] Y. J. Kim et al., "Development of Three Dimensional Automatic Body Fat Measurement Software from CT, and Its Validation and Evaluation," Journal of Biomedical Science and Engineering, vol. 08, no. 10, pp. 665-673, 2015, doi: 10.4236/jbise.2015.810063.

[168] H. G. Kang, S. H. Cho, C. N. Cho, and K. G. Kim, "Development of Biopsy Gun for Aspiration and Drug Injection," Surgical Innovation, vol. 22, no. 2, pp. 163-170, 2015/4// 2015, doi: 10.1177/1553350614539046.

[169] W. J. Choi, J. S. Park, K. G. Kim, S.-Y. Kim, H. R. Koo, and Y.-J. Lee, "Computerized analysis of calcification of thyroid nodules as visualized by ultrasonography," European Journal of Radiology, vol. 84, no. 10, pp. 1949-1953, 2015/10// 2015, doi: 10.1016/j.ejrad.2015.06.021.

[170] J. Cho, C.-S. Park, Y.-J. Kim, and K. G. Kim, "Clinical Application of Solid Model Based on Trabecular Tibia Bone CT Images Created by 3D Printer," Healthcare Informatics Research, vol. 21, no. 3, pp. 201-201, 2015/7// 2015, doi: 10.4258/hir.2015.21.3.201.

[171] H. R. Cho et al., "Magnetic resonance imaging of the pancreas in streptozotocin-induced diabetic rats: Gadofluorine P and Gd-DOTA," World Journal of Gastroenterology, vol. 21, no. 19, pp. 5831-5842, 2015/5// 2015, doi: 10.3748/wjg.v21.i19.5831.

[172] C. N. Cho, J. H. Seo, H. R. Kim, H. Jung, and K. G. Kim, "Vision-based variable impedance control with oscillation observer for respiratory motion compensation during robotic needle insertion: a preliminary test," The international journal of medical robotics + computer assisted surgery : MRCAS, 2015/1// 2015, doi: 10.1002/rcs.1644.

[173] M. S. Bae, M. Seo, K. G. Kim, I.-A. Park, and W. K. Moon, "Quantitative MRI morphology of invasive breast cancer: correlation with immunohistochemical biomarkers and subtypes," Acta Radiologica, vol. 56, no. 3, pp. 269-275, 2015/3// 2015, doi: 10.1177/0284185114524197.

[174] J. White, J. Gay, R. Farnsworth, M. Mickas, K. Kim, and J. Mattoon, "ULTRASOUND ELASTOGRAPHY OF THE LIVER, SPLEEN, AND KIDNEYS IN CLINICALLY NORMAL CATS," Veterinary Radiology & Ultrasound, vol. 55, no. 4, pp. 428-434, 2014/7// 2014, doi: 10.1111/vru.12130.

[175] C.-S. Park, J.-I. Park, K.-G. Kim, C.-N. Cho, B.-U. Ahn, and H.-J. Jae, "A quantitative evaluation of abdominal aorta aneurysm by CT images," Technology and Health Care, vol. 23, no. 1, pp. 37-45, 2014/11// 2014, doi: 10.3233/THC-140878.

[176] K. W. Nam, S. B. Lee, I. Y. Kim, K. G. Kim, and S. J. Park, "A new hemostatic clip for endoscopic surgery that can maintain blood flow after clipping," World journal of gastroenterology : WJG, vol. 20, no. 5, pp. 1325-31, 2014/2// 2014, doi: 10.3748/wjg.v20.i5.1325.

[177] S. H. Lee, S. M. Lee, J. M. Goo, K.-G. Kim, Y. J. Kim, and C. M. Park, "Usefulness of Texture Analysis in Differentiating Transient from Persistent Part-solid Nodules(PSNs): A Retrospective Study," PLoS ONE, vol. 9, no. 1, pp. e85167-e85167, 2014/1// 2014, doi: 10.1371/journal.pone.0085167.

[178] S. Lee et al., "CT-based three-dimensional kinematic comparison of dart-throwing motion between wrists with malunited distal radius and contralateral normal wrists," Clinical Radiology, vol. 69, no. 5, pp. 462-467, 2014/5// 2014, doi: 10.1016/j.crad.2013.09.023.

[179] J. H. Lee et al., "Low-mass-ion discriminant equation: A new concept for colorectal cancer screening," International Journal of Cancer, vol. 134, no. 8, pp. 1844-1853, 2014/4// 2014, doi: 10.1002/ijc.28517.

[180] Y. J. Kim, C. B. Jeong, J.-M. Hwang, H. K. Yang, S. H. Lee, and K. G. Kim, "New Parametric Imaging Method with Fluorescein Angiograms for Detecting Areas of Capillary Nonperfusion," Healthcare Informatics Research, vol. 20, no. 3, pp. 191-191, 2014/7// 2014, doi: 10.4258/hir.2014.20.3.191.

[181] J. I. Kim et al., "Multiparametric Monitoring of Early Response to Antiangiogenic Therapy: A Sequential Perfusion CT and PET/CT Study in a Rabbit VX2 Tumor Model," The Scientific World Journal, vol. 2014, pp. 1-10, 2014/1// 2014, doi: 10.1155/2014/701954.

[182] J. H. Kim et al., "The condensin component NCAPG2 regulates microtubule–kinetochore attachment through recruitment of Polo-like kinase 1 to kinetochores," Nature Communications, vol. 5, no. 1, pp. 4588-4588, 2014/12// 2014, doi: 10.1038/ncomms5588.

[183] H.-K. Kim et al., "Targeted Next-Generation Sequencing at Copy-Number Breakpoints for Personalized Analysis of Rearranged Ends in Solid Tumors," PLoS ONE, vol. 9, no. 6, pp. e100089-e100089, 2014/6// 2014, doi: 10.1371/journal.pone.0100089.

[184] H. G. Kang, J. H. Kim, and K. G. Kim, "Limb Salvage Surgery Using Whole Knee Joint Allograft Reconstruction in Osteosarcoma," Journal of the Korean Orthopaedic Association, vol. 49, no. 3, pp. 244-249, 2014.

[185] H. G. Kang, C. N. Cho, and K. G. Kim, "Percutaneous navigation surgery of osteoid osteoma of the femur neck," Minimally Invasive Therapy & Allied Technologies, vol. 23, no. 1, pp. 58-62, 2014/1// 2014, doi: 10.3109/13645706.2013.835321.

[186] Y. S. Chun, W. B. Yoon, K. G. Kim, and I. K. Park, "Objective Assessment of Corneal Staining Using Digital Image Analysis," Investigative Ophthalmology & Visual Science, vol. 55, no. 12, pp. 7896-7903, 2014/12// 2014, doi: 10.1167/iovs.14-15618.

[187] H.-D. Chae, C. M. Park, S. J. Park, S. M. Lee, K. G. Kim, and J. M. Goo, "Computerized Texture Analysis of Persistent Part-Solid Ground-Glass Nodules: Differentiation of Preinvasive Lesions from Invasive Pulmonary Adenocarcinomas," Radiology, vol. 273, no. 1, pp. 285-293, 2014/10// 2014, doi: 10.1148/radiol.14132187.

[188] H. K. Yang, J.-M. Seo, J.-M. Hwang, and K. G. Kim, "Automated Analysis of Binocular Alignment Using an Infrared Camera and Selective Wavelength Filter," Investigative Opthalmology & Visual Science, vol. 54, no. 4, pp. 2733-2733, 2013/4// 2013, doi: 10.1167/iovs.12-11400.

[189] Y. S. Song et al., "Does Antiplatelet Therapy Increase the Risk of Hemoptysis During Percutaneous Transthoracic Needle Biopsy of a Pulmonary Lesion?," American Journal of Roentgenology, vol. 200, no. 5, pp. 1014-1019, 2013/5// 2013, doi: 10.2214/AJR.12.8931.

[190] I. K. Park, Y. S. Chun, K. G. Kim, H. K. Yang, and J.-M. Hwang, "New Clinical Grading Scales and Objective Measurement for Conjunctival Injection," Investigative Opthalmology & Visual Science, vol. 54, no. 8, pp. 5249-5249, 2013/8// 2013, doi: 10.1167/iovs.12-10678.

[191] K. W. Nam, S. W. Choi, I. Y. Kim, K. G. Kim, Y. H. Jo, and D. H. Kim, "Cerebrospinal fluid-compensated medication reservoir for an implantable infusion device: Concept and preliminary evaluation," The International journal of artificial organs, 2013/3// 2013, doi: 10.5301/ijao.5000138.

[192] E. S. Lee et al., "Photo-Guided Sentinel Node Mapping in Breast Cancer Using Marker-Free Photo-Gamma Fusion Lymphoscintigraphy," Nuclear Medicine and Molecular Imaging, vol. 47, no. 1, pp. 9-17, 2013/3// 2013, doi: 10.1007/s13139-012-0170-8.

[193] Y. J. Kim, S. H. Lee, T. Y. Kim, J. Y. Park, S. H. Choi, and K. G. Kim, "Body Fat Assessment Method Using CT Images with Separation Mask Algorithm," Journal of Digital Imaging, vol. 26, no. 2, pp. 155-162, 2013/4// 2013, doi: 10.1007/s10278-012-9488-0.

[194] M. J. Kim et al., "Analysis of the Anatomical Characteristics of the Pelvis in Koreans to Aid in Development of a NOTES Platform," Surgical Innovation, vol. 20, no. 2, pp. 134-141, 2013/4// 2013, doi: 10.1177/1553350612447692.

[195] J. Kim, S. Kim, Y. J. Kim, K. G. Kim, and J. Park, "Quantitative Measurement Method for Possible Rib Fractures in Chest Radiographs," Healthcare Informatics Research, vol. 19, no. 3, pp. 196-196, 2013/9// 2013, doi: 10.4258/hir.2013.19.3.196.

[196] I. Hwang et al., "Differentiation of Recurrent Tumor and Posttreatment Changes in Head and Neck Squamous Cell Carcinoma: Application of High b-Value Diffusion-Weighted Imaging," American Journal of Neuroradiology, vol. 34, no. 12, pp. 2343-2348, 2013/12// 2013, doi: 10.3174/ajnr.A3603.

[197] H. K. Yang, S. B. Han, J.-M. Hwang, Y. J. Kim, C. B. Jeong, and K. G. Kim, "Assessment of binocular alignment using the three-dimensional Strabismus Photo Analyzer," British Journal of Ophthalmology, vol. 96, no. 1, pp. 78-82, 2012/1// 2012, doi: 10.1136/bjophthalmol-2011-300305.

[198] E.-A. Park et al., "Iterative reconstruction of dual-source coronary CT angiography: assessment of image quality and radiation dose," The International Journal of Cardiovascular Imaging, vol. 28, no. 7, pp. 1775-1786, 2012/10// 2012, doi: 10.1007/s10554-011-0004-2.

[199] J. Kim, K. Won Nam, I. G. Jang, H. K. Yang, K. G. Kim, and J. M. Hwang, "Author Response: Nintendo Wii Remote Controllers for Head Posture Measurement--Accuracy, Validity, and Reliability of the Infrared Optical Head Tracker Letters," Investigative Ophthalmology & Visual Science, vol. 53, no. 9, pp. 5779-5779, 2012/8// 2012, doi: 10.1167/iovs.12-10558.

[200] J. Kim, K. W. Nam, I. G. Jang, H. K. Yang, K. G. Kim, and J.-M. Hwang, "Nintendo Wii Remote Controllers for Head Posture Measurement: Accuracy, Validity, and Reliability of the Infrared Optical Head Tracker," Investigative Opthalmology & Visual Science, vol. 53, no. 3, pp. 1388-1388, 2012/3// 2012, doi: 10.1167/iovs.11-8329.

[201] K. N. Jeon et al., "Computer-Aided Nodule Detection and Volumetry to Reduce Variability Between Radiologists in the Interpretation of Lung Nodules at Low-Dose Screening Computed Tomography," Investigative Radiology, vol. 47, no. 8, pp. 457-461, 2012/8// 2012, doi: 10.1097/RLI.0b013e318250a5aa.

[202] S. J. Ahn et al., "Histogram Analysis of Apparent Diffusion Coefficient Map of Standard and High B-value Diffusion MR Imaging in Head and Neck Squamous Cell Carcinoma," Academic Radiology, vol. 19, no. 10, pp. 1233-1240, 2012/10// 2012, doi: 10.1016/j.acra.2012.04.019.

[203] H. K. Yang, S. J. Kim, Y. S. Jung, K. G. Kim, J. H. Kim, and H. G. Yu, "Improvement of horizontal macular contraction after surgical removal of epiretinal membranes," Eye (Lond), vol. 25, no. 6, pp. 754-761, 2011/6// 2011, doi: 10.1038/eye.2011.48.

[204] G. P. Moustris, S. C. Hiridis, K. M. Deliparaschos, and K. M. Konstantinidis, "Evolution of autnomous and semi-autnomous robotic surgical systems: a review of the literature," The international journal of medical robotics + computer assisted surgery : MRCAS, vol. 7, no. April, pp. 375–392-375–392, 2011, doi: 10.1002/rcs.

[205] T.-Y. Kim, J. Son, and K.-G. Kim, "The Recent Progress in Quantitative Medical Image Analysis for Computer Aided Diagnosis Systems," Healthcare Informatics Research, vol. 17, no. 3, pp. 143-143, 2011/9// 2011, doi: 10.4258/hir.2011.17.3.143.

[206] Y. Kang et al., "Gliomas: Histogram Analysis of Apparent Diffusion Coefficient Maps with Standard- or High- b -Value Diffusion-weighted MR Imaging—Correlation with Tumor Grade," Radiology, vol. 261, no. 3, pp. 882-890, 2011/12// 2011, doi: 10.1148/radiol.11110686.

[207] S. H. Choi et al., "Correlation of 18F-FDG Uptake with Apparent Diffusion Coefficient Ratio Measured on Standard and High b Value Diffusion MRI in Head and Neck Cancer," Journal of Nuclear Medicine, vol. 52, no. 7, pp. 1056-1062, 2011/7// 2011, doi: 10.2967/jnumed.111.089334.

[208] W. K. Moon et al., "Computer-aided analysis of ultrasound elasticity images for classification of benign and malignant breast masses," AJR. American journal of roentgenology, vol. 195, no. 6, pp. 1460-5, 2010/12// 2010, doi: 10.2214/AJR.09.3140.

[209] S. M. Lee et al., "Transient Part-Solid Nodules Detected at Screening Thin-Section CT for Lung Cancer: Comparison with Persistent Part-Solid Nodules," Radiology, vol. 255, no. 1, pp. 242-251, 2010/4// 2010, doi: 10.1148/radiol.09090547.

[210] Y. Rhee et al., "Assessment of bone quality using finite element analysis based upon micro-CT images," Clinics in orthopedic surgery, vol. 1, no. 1, pp. 40-7, 2009/3// 2009, doi: 10.4055/cios.2009.1.1.40.

[211] E.-A. Park, S. H. Hong, K. G. Kim, J.-Y. Choi, C. S. Shin, and H. S. Kang, "Experimental Bone Biopsies Using Two Bone Biopsy Needles," Academic Radiology, vol. 16, no. 3, pp. 332-340, 2009/3// 2009, doi: 10.1016/j.acra.2008.09.006.

[212] C. M. Park et al., "FN13762 Murine Breast Cancer: Region-by-Region Correlation of First-Pass Perfusion CT Indexes with Histologic Vascular Parameters," Radiology, vol. 251, no. 3, pp. 721-730, 2009/6// 2009, doi: 10.1148/radiol.2513081215.

[213] H. J. Lee et al., "Predictive CT findings of malignancy in ground-glass nodules on thin-section chest CT: the effects on radiologist performance," European Radiology, vol. 19, no. 3, pp. 552-560, 2009/3// 2009, doi: 10.1007/s00330-008-1188-2.

[214] S. H. Kim et al., "Computer-aided image analysis of focal hepatic lesions in ultrasonography: preliminary results," Abdominal Imaging, vol. 34, no. 2, pp. 183-191, 2009/4// 2009, doi: 10.1007/s00261-008-9383-9.

[215] H.-C. Kang, K. G. Kim, J. P. Bae, C. B. Jeong, and S. Kim, "A Study of Joint Space Narrowing and Erosion in Rheumatoid Arthritis," Journal of Korean Society of Medical Informatics, vol. 15, no. 4, pp. 483-483, 2009, doi: 10.4258/jksmi.2009.15.4.483.

[216] E. J. Chun et al., "Differentiation between malignancy and inflammation in pulmonary ground-glass nodules: The feasibility of integrated 18F-FDG PET/CT," Lung Cancer, vol. 65, no. 2, pp. 180-186, 2009/8// 2009, doi: 10.1016/j.lungcan.2008.11.015.

[217] C. M. Park et al., "Comparison of observer performance on soft-copy reading of digital chest radiographs: High resolution liquid-crystal display monitors versus cathode-ray tube monitors," European Journal of Radiology, vol. 66, no. 1, pp. 13-18, 2008/4// 2008, doi: 10.1016/j.ejrad.2007.05.023.

[218] C. M. Park et al., "Pulmonary Nodular Ground-Glass Opacities in Patients With Extrapulmonary Cancers," Chest, vol. 133, no. 6, pp. 1402-1409, 2008/6// 2008, doi: 10.1378/chest.07-2568.

[219] J. C. Kim et al., "Three-Dimensional Dialysate flow Analysis in a Hollow-Fiber Dialyzer by Perfusion Computed Tomography," The International Journal of Artificial Organs, vol. 31, no. 6, pp. 553-560, 2008/6// 2008, doi: 10.1177/039139880803100611.

[220] J. C. Kim et al., "Effect of fiber structure on dialysate flow profile and hollow-fiber hemodialyzer reliability: CT perfusion study," The International Journal of Artificial Organs, vol. 31, no. 11, pp. 944-950, 2008/11// 2008, doi: 10.1177/039139880803101104.

[221] E.-A. Park, H. J. Lee, K. G. Kim, S. H. Kim, S. E. Lee, and G. Y. Choe, "Prediction of pathological stages before prostatectomy in prostate cancer patients: Analysis of 12 systematic prostate needle biopsy specimens," International Journal of Urology, vol. 14, no. 8, pp. 704-708, 2007/8// 2007, doi: 10.1111/j.1442-2042.2007.01795.x.

[222] S. H. Lee, J. H. Kim, K. G. Kim, J. S. Park, S. J. Park, and W. K. Moon, "Optimal clustering of kinetic patterns on malignant breast lesions: comparison between K-means clustering and three-time-points method in dynamic contrast-enhanced MRI," Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society., vol. 2007, pp. 2089-93, 2007/1// 2007, doi: 10.1109/IEMBS.2007.4352733.

[223] C. H. Lee, J. M. Goo, H. J. Lee, K. G. Kim, J.-G. Im, and K. T. Bae, "Determination of Optimal Timing Window for Pulmonary Artery MDCT Angiography," American Journal of Roentgenology, vol. 188, no. 2, pp. 313-317, 2007/2// 2007, doi: 10.2214/AJR.06.0078.

[224] C. H. Lee et al., "CTA Contrast Enhancement of the Aorta and Pulmonary Artery," Investigative Radiology, vol. 42, no. 7, pp. 486-490, 2007/7// 2007, doi: 10.1097/RLI.0b013e318032a9fe.

[225] Y. I. Kim et al., "Multiphase Contrast-Enhanced CT Imaging in Hepatocellular Carcinoma," Academic Radiology, vol. 14, no. 9, pp. 1084-1091, 2007/9// 2007, doi: 10.1016/j.acra.2007.06.015.

[226] K. G. Kim, H. J. Lee, J. H. Kim, J.-G. Lee, S. J. Park, and S. H. Lee, "Classification of urinary stone and vascular calcification in noncontrast CT using morphological analysis," �����ȸ �����������(�Ϻ�), no. August, pp. 1-3, 2007. [Online]. Available: http://ci.nii.ac.jp/naid/110006201328/.

[227] S. I. Jung et al., "Reference charts and equations of Korean fetal biometry," Prenatal Diagnosis, vol. 27, no. 6, pp. 545-551, 2007/6// 2007, doi: 10.1002/pd.1729.

[228] H. J. Lee et al., "Role of transrectal ultrasonography in the prediction of prostate cancer: artificial neural network analysis," Journal of ultrasound in medicine official journal of the American Institute of Ultrasound in Medicine, vol. 25, no. 7, pp. 815-824, 2006, doi: 25/7/815 [pii].

[229] S. H. Kim et al., "Comparison of fundamental sonography, tissue-harmonic sonography, fundamental compound sonography, and tissue-harmonic compound sonography for focal hepatic lesions," European Radiology, vol. 16, no. 11, pp. 2444-2453, 2006/10// 2006, doi: 10.1007/s00330-006-0205-6.

[230] R. El-Hawary, S. E. Roth, G. J. W. King, D. G. Chess, and J. a. Johnson, "Load balance in total knee arthroplasty: an in vitro analysis," The international journal of medical robotics + computer assisted surgery : MRCAS, vol. 2, no. 3, pp. 251-255, 2006, doi: 10.1002/rcs.

[231] K. Chang, B. J. Kwon, and K. Kim, "3T 1H-MR spectroscopy in grading of cerebral gliomas: comparison of short and intermediate echo time sequences," American journal of neuroradiology, vol. 27, no. 7, pp. 1412-1418, 2006. [Online]. Available: https://www.ncbi.nlm.nih.gov/pubmed/16908549.

[232] S. H. Kim et al., "Appropriateness of a Donor Liver with Respect to Macrosteatosis: Application of Artificial Neural Networks to US Images—Initial Experience," Radiology, vol. 234, no. 3, pp. 793-803, 2005/3// 2005, doi: 10.1148/radiol.2343040142.

[233] K. G. Kim et al., "Computer-aided Diagnosis of Localized Ground-Glass Opacity in the Lung at CT: Initial Experience," Radiology, vol. 237, no. 2, pp. 657-661, 2005/11// 2005, doi: 10.1148/radiol.2372041461.

[234] K. G. Kim, S. W. Cho, S. J. Min, J. H. Kim, B. G. Min, and K. T. Bae, "Computerized scheme for assessing ultrasonographic features of breast masses1," Academic Radiology, vol. 12, no. 1, pp. 58-66, 2005/1// 2005, doi: 10.1016/j.acra.2004.11.010.

[235] K. T. Bae, J.-S. Kim, Y.-H. Na, K. G. Kim, and J.-H. Kim, "Pulmonary Nodules: Automated Detection on CT Images with Morphologic Matching Algorithm—Preliminary Results," Radiology, vol. 236, no. 1, pp. 286-293, 2005/7// 2005, doi: 10.1148/radiol.2361041286.

[236] M. J. Chung, J.-g. Im, K. S. Lee, K. G. Kim, and J. H. Park, "CT perfusion image of the lung: value in the detection of pulmonary embolism in a porcine model," Invest Radiol, vol. 39, no. 10, pp. 633-640, 2004, doi: 00004424-200410000-00008 [pii].

[237] K. H. Lee et al., "Clogging of Drainage Catheters: Quantitative and Longitudinal Assessment by Monitoring Intracatheter Pressure in Catheters and Rabbits," Radiology, vol. 227, no. 3, pp. 833-838, 2003/6// 2003, doi: 10.1148/radiol.2281020245.

[238] K. G. Kim, J. H. Kim, and B. G. Min, "Comparative Analysis of Texture Characteristics of Malignant and Benign Tumors in Breast Ultrasonograms," Journal of Digital Imaging, vol. 14, no. S1, pp. 208-210, 2001/6// 2001, doi: 10.1007/BF03190341.