Department of Forensic Pathology and Sciences,
Faculty of Medical Sciences, Kyushu University, Fukuoka, Japan
Department of Forensic Pathology and Sciences,
Faculty of Medical Sciences, Kyushu University, Fukuoka, Japan
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Faculty of Medical Sciences, Kyushu University, Fukuoka, Japan
RADiO LAB is currently conducting an international joint research project in collaboration with Professor Yosuke Usumoto’s team at the Department of Forensic Pathology and Sciences, Graduate School of Medical Sciences, Kyushu University. Our joint efforts focus on advancing the fields of personal identification and the determination of the cause of death.
Yeji Kim, et. al., (2025), Science & Justice 65(5), 101315
https://doi.org/10.1016/j.scijus.2025.101315
Tomoyuki Seo, et. el., (2024), Scientific Reports 14(22689)
https://www.nature.com/articles/s41598-024-74703-y
Yeji Kim, et. al., (2024), Diagnostics 14, 1778
https://doi.org/10.3390/diagnostics14161778
Department of Diagnostic Imaging,
Graduate School of Medicine, Tohoku University, Sendai, Japan
Department of Diagnostic Imaging,
Graduate School of Medicine, Tohoku University, Sendai, Japan
RADiO LAB is conducting an international joint research project to establish a Post-mortem Imaging Database in collaboration with several prestigious Japanese institutions. Our partners include Assistant Professor Tomoya Kobayashi’s team at the Department of Diagnostic Radiology, Tohoku University Graduate School of Medicine, along with the Tohoku University Autopsy imaging (Ai) Center, Tsukuba Medical Center, and Shimane University Hospital. This collaborative initiative focuses on advancing personal identification and the determination of the cause of death through multi-faceted forensic pathology research
Mariya Oda, et. al, (2026), Variations in Pericoronary Adipose Tissue Attenuation on Postmortem CT Images: Impact of Cardiopulmonary Resuscitation, European Journal of Radiology(EJR), Under review
Department of Health Sciences,
Faculty of Medical Sciences, Kyushu University, Fukuoka, Japan
Department of Health Sciences,
Faculty of Medical Sciences, Kyushu University, Fukuoka, Japan
RADiO LAB is collaborating with Assisstant Professor Nobukazu Tanaka’s research team at the Department of Health Sciences, Kyushu University Graduate School of Medical Sciences, to conduct research on the optimization of medical radiation exposure. This project focuses on identifying the optimal balance between medical image quality and radiation dose to enhance patient safety and diagnostic precision.
Tanaka, N., Yoon, Y., and Ideguchi, T. (2026). Exposure index and radiographic noise for chest and abdominal X-ray examinations: Effects of tube voltage and anti-scatter grid, Radiation Physics and Chemistry, Minor Review
Tanaka, N., & Yoon, Y. (2025). Phys Eng Sci Med, 48, 857-865.
https://link.springer.com/article/10.1007/s13246-025-01553-xTanaka, N., & Yoon, Y. (2023). Phys Eng Sci Med 46(3), 1187-1192.
https://doi.org/10.1007/s13246-023-01285-wYoon, Y.; Park, H.; Kim, J.; Kim, J.; Roh, Y.; Tanaka, N.; Morishita, J. (2025) Int. J. Environ. Res. Public Health 18, 5203.
https://doi.org/10.3390/ijerph18105203Park, H., Yoon, Y.*, Kim, J., Kim, J., Jeong, H., Tanaka, N., and Morishita, J.(2020) Radiation protection dosimetry, 191(4), 439-451
https://doi.org/10.1093/rpd/ncaa185Park, H., Yoon, Y.*, Tanaka, N., Kim, J., Kim, J.*, and Morishita, J.,(2020) Radiation protection dosimetry, 189(3), 384-394.
https://doi.org/10.1093/rpd/ncaa052
Department of Radiological Technology,
Gunma Prefectural College of Health Sciences, Maebashi, Japan
Department of Radiological Technology,
Gunma Prefectural College of Health Sciences, Maebashi, Japan
RADiO LAB is collaborating with Professor Norio Hayashi and Professor Sho Maruyama’s team at the Department of Radiological Technology, Gunma Prefectural College of Health Sciences, on research involving novel quantitative analysis methods for medical imaging. This partnership aims to develop and validate innovative approaches to medical image quantification, enhancing the objectivity and precision of diagnostic data.
Department of Radiological Technology, Faculty of Medicine
Khon Kaen University, Khon Kaen, Thailand
Department of Radiological Technology, Faculty of Medicine
Khon Kaen University, Khon Kaen, Thailand
"RADiO LAB is currently in Khon Kaen, Thailand, leading the 'GELS Bio-Health RT×AI PROJECT' with a delegation of six graduate and undergraduate students from Dongseo University’s Department of Radiological Science. Unlike traditional observation-based exchange programs, this is a highly interactive, project-based learning (PBL) initiative conducted in partnership with the Faculty of Medicine at Khon Kaen University (KKU).
The project follows a structured pedagogical model: after a two-week preparatory session held at Dongseo University last September, students from both universities have now reunited at KKU to co-develop AI models for radiological medicine. The curriculum is designed to bridge theory and practice, featuring lectures on Digital Image Processing for AI (delivered by our lab) and Clinical AI Applications (delivered by KKU’s Radiology and Orthopedic faculty).
Looking forward, we are expanding this collaboration into a formal academic exchange where students will earn major credits. Furthermore, we plan to integrate the AAU (Asian Alliance University) platform to facilitate a hybrid (on-offline) learning environment, establishing a sustainable global educational ecosystem."
https://uni.dongseo.ac.kr/radiology/index.php?pCode=notice&pg=3&mode=view&idx=45872
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