@article{CTT100828359, author = {Zarshenas, A. and Kenji Suzuki}, title = {Binary coordinate ascent: An efficient optimization technique for feature subset selection for machine learning}, journal = {Knowledge-Based Systems}, year = 2016, } @article{CTT100885831, author = {Gonzalo Pajares Martinsanz and Philip Morrow and Kenji Suzuki}, title = {Special issue: Image and Video Processing in Medicine}, journal = {Journal of Imaging}, year = 2016, } @article{CTT100885832, author = {Yi-Xiang Wang and Yong E. Chung and Weibo Cai and Kenji Suzuki}, title = {Special issue: Advances in Translational Cancer Imaging: Opportunities and Challenges}, journal = {BioMed Research International}, year = 2016, } @article{CTT100828370, author = {Chen, S. and Zhong, S. and Yao, L. and Shang, Y. and Kenji Suzuki}, title = {Enhancement of chest radiographs obtained in the intensive care unit through bone suppression and consistent processing}, journal = {Physics in Medicine and Biology}, year = 2016, } @article{CTT100828379, author = {Shi, Z. and Ma, J. and Zhao, M. and Liu, Y. and Feng, Y. and Zhang, M. and He, L. and Kenji Suzuki}, title = {Many Is Better Than One: An Integration of Multiple Simple Strategies for Accurate Lung Segmentation in CT Images}, journal = {BioMed Research International}, year = 2016, } @article{CTT100828329, author = {Sihai, Y. and Xu, J. and Kenji Suzuki}, title = {Density Index: Extension of Shape Index in Describing Local Intensity Variations in a 3D Image}, journal = {Journal of Computer-Aided Design & Computer Graphics}, year = 2016, } @inproceedings{CTT100844679, author = {Tajbakhsh N. and Liu J. and Fukumoto W. and Higaki T. and Awai K. and Suzuki K.}, title = {Conversion of ultra-low-dose (ULD) to “virtual” high-dose (VHD) thin-slice chest CT by means of 3D supervised volume-based artificial neural network (ANN)}, booktitle = {}, year = 2016, } @inproceedings{CTT100844680, author = {Liu J. and Zarshenas A. and Fajardo L. and Suzuki K.}, title = {Radiation dose reduction in digital breast tomosynthesis (DBT) by means of patch-based trainable nonlinear regression (PTNR)}, booktitle = {}, year = 2016, }