Yuichi Motai (S’00-M’03-SM’12) received the B.Eng. degree in instrumentation engineering from Keio University, Tokyo, Japan, in 1991, the M.Eng. degree in applied systems science from Kyoto University, Kyoto, Japan, in 1993, and the Ph.D. degree in electrical and computer engineering from Purdue University, West Lafayette, IN, U.S.A., in 2002. He is currently an Associate Professor of Electrical and Computer Engineering at Virginia Commonwealth University, Richmond, VA, USA. His research interests include the broad area of sensory intelligence; particularly in medical imaging, pattern recognition, computer vision, and sensory-based robotics.
JTEHM, Articles, Published ArticlesElastographic Tomosynthesis from X-ray Strain Imaging of Breast Cancer
Noncancerous breast tissue and cancerous breast tissue have different elastic properties. In particular, cancerous breast tumors are stiff when compared to the noncancerous surrounding tissue. This difference in elasticity can be used as a means for detection through the method... Read more
Posted on 28 AUG 2019
JTEHM, Articles, Published ArticlesIntra- and Inter-Fractional Variation Prediction of Lung Tumors using Fuzzy Deep Learning
Tumor movements should be accurately predicted to improve delivery accuracy and reduce unnecessary radiation exposure to healthy tissue during radiotherapy. The tumor movements pertaining to respiration are divided into intra-fractional variation occurring in a single treatment session and inter-fractional variation... Read more
Posted on 15 JAN 2016