SHIMIZU Akinobu

Professional Career

1994.04 : Assistant, School of Engineering, Nagoya University
1997.04 : Assistant, Institute of Engineering, Nagoya University
1997.05 - 19982 : MEXT Overseas Research Fellow, University of Hamburg
1998.10 : Assistant Professor, Graduate School of Bio-Applications and Systems Engineering, Tokyo University of Agriculture and Technology
1998.10 - 19993 : Assistant Professor, Institute of Engineering, Nagoya University
2005.10 : Institute of Engineering, Tokyo University of Agriculture and Technology
2014.05 : Professor, Institute of Engineering, Tokyo University of Agriculture and Technology

Academic Degrees

1994年　Ph.D., in Engineeirng, Nagoya University

Research Interests

The goals are the research, development and validation of image processing algorithms and computer-aided diagnosis systems that enable the objective and reproducible evaluation of anatomical and pathological structures in medical images. Medical image processing, Computer-aided diagnosis

Publications

• Hong-Seng Gan, Muhammad Hanif Ramlee, Asnida Abdul Wahab, Yeng-Seng Lee, and Akinobu Shimizu, “From Classical to Deep Learning: Review on Cartilage and Bone Segmentation Techniques in Knee Osteoarthritis Research”, Artificial Intelligence Review, DOI: 10.1007/s10462-020-09924-4
• Rosdiana Shahril, Atsushi Saito, Akinobu Shimizu, Sabariah Baharun, Bleeding Classification of Enhanced Wireless Capsule Endoscopy Images using Deep Convolutional Neural Network, JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 36: 91-108, Jan 2020
• Koyo Nakayama, Atsushi Saito, Elijah Biggs, Marius George Linguraru, Akinobu Shimizu, Liver segmentation from low-radiation-dose pediatric computed tomography using patient-specific, statistical modeling, International Journal of Computer Assisted Radiology and Surgery, 2019 14.12. 2057-2068