Dr. Kensuke Umehara
Researcher at NIRS/QST
SPIE Involvement:
Author
Area of Expertise:
deep learning , super-resolution , computer-aided detection , computer vision , machine learning , medical image analysis
Websites:
Profile Summary

Dr. Umehara received his B.S., M.S., and Ph.D. degrees from Osaka University, Japan, in 2013, 2015, and 2018, respectively. He was previously a Research Assistant in the Department of Medical Physics and Engineering at Osaka University. He is currently working as a tenured Researcher in National Institute of Radiological Sciences (NIRS) , National Institutes for Quantum and Radiological Science and Technology (QST), Chiba, Japan. His research interests include artificial intelligence, machine learning, and super-resolution in medical imaging. He received an Honorable Mention award from the SPIE Medical Imaging and a Cum Laude award and two Certificate of Merit awards from the Annual Meetings of Radiological Society of North America (RSNA). He is a member of RSNA, IEEE, and SPIE.
Publications (3)

Proceedings Article | 3 March 2017 Presentation + Paper
Proc. SPIE. 10134, Medical Imaging 2017: Computer-Aided Diagnosis
KEYWORDS: Cancer, Convolutional neural networks, Detection and tracking algorithms, Neural networks, Colorectal cancer, Machine learning, Colon, Algorithm development, Computer-aided diagnosis, 3D image processing, Virtual colonoscopy

Proceedings Article | 24 February 2017 Paper
Proc. SPIE. 10133, Medical Imaging 2017: Image Processing
KEYWORDS: Signal to noise ratio, Super resolution, Chest, Image compression, X-ray computed tomography, Image restoration, Image analysis, Medical imaging, Image quality, Computed tomography, Chest imaging

Proceedings Article | 24 February 2017 Paper
Proc. SPIE. 10133, Medical Imaging 2017: Image Processing
KEYWORDS: Super resolution, Convolutional neural networks, Image restoration, Image resolution, Medical imaging, Image quality, Neural networks, Image enhancement, Artificial intelligence, Spatial resolution, Chest imaging, Image interpolation, Resolution enhancement technologies

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