Lim, S. H., Kim, Y. J., Park, Y. H., Kim, D., & Kim, K. G. (2022). Automated pancreas segmentation and volumetry using deep neural network on computed tomography. Scientific Reports, 1?9. https://doi.org/10.1038/s41598-022-07848-3
Hwang, J. H., Seo, J. W., Kim, J. H., Park, S., Kim, Y. J., & Kim, K. G. (2022). Comparison between Deep Learning and Conventional Machine Learning in Classifying Iliofemoral Deep Venous Thrombosis upon CT Venography. Diagnostics, 12(2). https://doi.org/10.3390/diagnostics12020274
Kim, Y. J., & Kim, K. G. (2022). Detection and Weak Segmentation of Masses in Gray-Scale Breast Mammogram Images Using Deep Learning. Yonsei Medical Journal, 63(Suppl), S63. https://doi.org/10.3349/ymj.2022.63.S63
Seol, Y. J., Kim, Y. S. Y. J., Kim, Y. S. Y. J., Cheon, Y. W., & Kim, K. G. (2022). A Study on 3D Deep Learning-Based Automatic Diagnosis of Nasal Fractures. Sensors, 22(2), 506. https://doi.org/10.3390/s22020506
Oh, S., Kim, Y.-J. J., Park, Y.-T. T., & Kim, K.-G. G. (2022). Automatic pancreatic cyst lesion segmentation on eus images using a deep-learning approach. Sensors, 22(1), 245. https://doi.org/10.3390/s22010245
Lee, T.-H., Yoon, K.-C., & Kim, K. G. (2022). Miniaturized Dual-Band Bandpass Filter Using T-Shaped Line Based on Stepped Impedance Resonator with Meander Line and Folded Structure. Electronics, 11(2), 219. https://doi.org/10.3390/electronics11020219
Hwang, J. H., Seo, J. W., Kim, J. H., Park, S., Kim, Y. J., & Kim, K. G. (2022). Comparison between Deep Learning and Conventional Machine Learning in Classifying Iliofemoral Deep Venous Thrombosis upon CT Venography. Diagnostics, 12(2), 274. https://doi.org/10.3390/diagnostics12020274
Kim, J. H., Kim, Y. J., Lee, Y. J., Hyon, J. Y., Han, S. B., & Kim, K. G. (2022). Automated histopathological evaluation of pterygium using artificial intelligence. British Journal of Ophthalmology, bjophthalmol-2021-320141. https://doi.org/10.1136/bjophthalmol-2021-320141
Kim, Y., Seol, J., Lee, H., Lee, J., Park, J., & Kim, K. G. (2022). Web-Based Intravenous Fluid Treatment Monitoring Platform in Nursing Station. Surgical Innovation, 155335062110658. https://doi.org/10.1177/15533506211065849
Jang, S. I., Kim, Y. J., Kim, E. J., Kang, H., Shon, S. J., Seol, Y. J., Lee, D. K., Kim, K. G., & Cho, J. H. (2021). Diagnostic performance of endoscopic ultrasound?artificial intelligence using deep learning analysis of gallbladder polypoid lesions. Journal of Gastroenterology and Hepatology, 36(12), 3548?3555. https://doi.org/10.1111/jgh.15673
Yoon, K.-C., Kim, K. G., & Lee, S. H. (2021). Design of a Surgical Pen-Type Probe for Real-Time Indocyanine Green Fluorescence Emission Diagnosis. Journal of Medical Devices, 15(4), 1?13. https://doi.org/10.1115/1.4052587
Yoon, K.-C., Kim, K. G., Lee, D. C., & Yoon, S. J. (2021). Smart syringe using actuator and force sensor for epidural anesthesia injection. The International Journal of Artificial Organs, 039139882110665. https://doi.org/10.1177/03913988211066501
Baik, J. W., Kim, H., Son, M., Choi, J., Kim, K. G., Baek, J. H., Park, Y. H., An, J., Choi, H. Y., Ryu, S. Y., Kim, J. Y., Byun, K., & Kim, C. (2021). Intraoperative Label?Free Photoacoustic Histopathology of Clinical Specimens. Laser & Photonics Reviews, 15(10), 2100124. https://doi.org/10.1002/lpor.202100124
Yoon, K., Kim, K.-G., Chung, J., & Kim, B. (2021). 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, 11(23), 11550. https://doi.org/10.3390/app112311550
Kwon, S. Y., Yoon, K.-C., & Kim, K. G. (2021). Reduction of Reflected Light On Fluorescence Emission for Indocyanine Green. Journal of Engineering and Science in Medical Diagnostics and Therapy, 5(February). https://doi.org/10.1115/1.4052945