Top1%論文

Suzuki K.: Overview of Deep Learning in Medical Imaging. Radiological Physics and Technology 10 (3): 257-273, 2017.

Top1%論文

El-Baz A., Beache G. M., Gimel’farb G., Suzuki K., Okada K., Elnakib A., Soliman A., and Abdollahi B.: Computer aided diagnosis systems for lung cancer: Challenges and methodologies. International Journal of Biomedical Imaging 2013: Article ID 942353, 46 pages, 2013.

Top1%論文

Hadjiiski L., Cha K., Chan H-P., Drukker K., Morra L., Nappi J. J. Sahiner B., Yoshida H., Chen Q., Deserno T. M., Greenspan H., Huisman H., Huo Z., Mazurchuk R., Petrick N., Regge D., Samala R., Summers R. M., Suzuki K., Tourassi G., Vergara D., and Armato III S. G.: AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging, Medical Physics 50: 1-24, 2022.

Top10%論文

Shi Z., Hao H., Zhao M., Feng Y., He L., Wang Y., and Suzuki K.: A deep CNN based transfer learning method for false positive reduction. Multimedia Tools and Applications 78(1): 1017-1033, 2019.

Top10%論文

Tajbakhsh N. and Suzuki K.: Comparing two classes of end-to-end machine-learning models in lung nodule detection and classification: MTANNs vs. CNNs Pattern Recognition 63: 476–486, 2017.

Top10%論文

Martínez-García M., Zhang Y., Suzuki K., and Zhang Y.: Deep Recurrent Entropy Adaptive Model for System Reliability Monitoring. IEEE Transactions on Industrial Informatics 17(2): 839-848, 2020.

Top10%論文

He L., Chao Y., and Suzuki K.: Configuration-Transition-Based Connected-Component Labeling. IEEE Transactions on Image Processing 23: 943-951, 2014.

Top10%論文

Chen S. and Suzuki K.: Computerized Detection of Lung Nodules by Means of “Virtual Dual-Energy” Radiography. IEEE Transactions on Biomedical Engineering 60: 369-378, 2013.

Top10%論文

Dai P., Luo H., Sheng H., Zhao Y., Li L., Wu J., Zhao Y., Suzuki K.: A New Approach to Segment Both Main and Peripheral Retinal Vessels Based on Gray-voting and Gaussian Mixture Model, PLoS ONE 10(6): e0127748, 2015.

Top10%論文

Zarshenas A. and Suzuki K.: Binary Coordinate Ascent: An efficient optimization technique for feature subset selection for machine learning, Knowledge-Based Systems: 110: 191-201, 2016.

Top10%論文

He L., Chao Y., and Suzuki K.: An Algorithm for Connected-Component Labeling, Hole Labeling and Euler Number Computing. Journal of Computer Science and Technology 28(3): 468-478, 2013.