Journal Paper

• Kobayashi M., Ishioka J., Matsuoka Y., Fukuda Y., Kohno Y., Kawano K., Morimoto S., Muta R., Fujiwara M., Kawamura N., Okuno T., Yoshida S., Yokoyama M., Suda R., Saiki R., Suzuki K., Kumazawa I., Fujii Y.. Computer-aided diagnosis with a convolutional neural network algorithm for automated detection of urinary tract stones on plain X-ray, BMC Urology, Aug. 2021.

Book

• Kenji Suzuki. Deep Learning in Medical Image Processing and Computer-Aided Diagnosis, Biomedical Engineering, Pan Stanford Publishing, pp. 297-318, Nov. 2021.
• YASUKI SAEKI, Tetsuo Uenishi, Takayoshi Ogawa, Leith Morton, Alison Isobel Rae Tokita, MASATOSHI TAMURA, Yuki ISHIHARA, Yoriko Kitagawa, DAISUKE HARADA, TATSURO SATSUMA, Lorinda Robertson KIYAMA, Hugh De Ferranti, Mariko Anno, Yoshinori Hashimoto, TSUYOSHI ISSHIKI, Takumi Sannomiya, Takenobu Tokunaga, Yuki Yamaguchi, Shigeki SAITO, Kenji Suzuki, Kyohhei Kitamura. 東工大英単ー科学・技術例文集 新装版, 研究社, July 2021.
• Kenji Suzuki. Artificial intelligence - Machine Learning and Data Mining, Artificial intelligence - Machine Learning and Data Mining, IntechOpen, 2021.

International Conference (Reviewed)

• Sato M., Yang Y., Jin Z., Suzuki K.. Segmentation of Liver Tumor in Hepatic CT by Using MTANN Deep Learning with Small Training Dataset Size, The 6th International Symposium on Biomedical Engineering (ISBE2021), Dec. 2021.
• Xiang M., Jin Z., Suzuki K.. Massive-Training Artificial Neural Network (MTANN) for Image Quality Improving in Fast-Acquisition MRI of the Knee., The 6th International Symposium on Biomedical Engineering (ISBE2021), Dec. 2021.
• Onai Y., Mahdi F. P., Jin Z., Suzuki K.. Virtual High-Radiation-Dose Image Generation from Low-Radiation-Dose Image in Digital Breast Tomosynthesis (DBT) Using Massive-Training Artificial Neural Network (MTANN), The 6th International Symposium on Biomedical Engineering (ISBE2021), Dec. 2021.
• Sato M., Jin Z., Suzuki K.. Semantic Segmentation of Liver Tumor in Contrast-enhanced Hepatic CT by Using Deep Learning with Hessian-based Enhancer with Small Training Dataset Size, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), pp. 34-37, May 2021.
• Xiang M., Jin Z., Suzuki K.. Massive-Training Artificial Neural Network (MTANN) with Special Kernel for Artifact Reduction In Fast-Acquisition MRI of the Knee, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), pp. 1210-1213, May 2021.
• Kenji Suzuki. Artificial Intelligence for Virtual Medical Imaging for Accurate Diagnosis, Video Proceedings of Advanced Materials, May 2021.
• Xiang M., Jin Z., Suzuki K.. Fast Acquisition MRI of the Knee by Means of Massive-Training Artificial Neural Network (MTANN) with Special Kernel, European Congress of Radiology 2021, Mar. 2021.
• Sato M., Jin Z., Suzuki K.. Small-Training-Set Deep Learning for Semantic Segmentation of Liver Tumors in Contrast-enhanced Hepatic CT, European Congress of Radiology 2021, Mar. 2021.
• Onai Y., Jin Z., Suzuki K.. Generation of Virtual High-Radiation-Dose Images from Low-Dose Images in Digital Breast Tomosynthesis (DBT) with Massive-Training Artificial Neural Network (MTANN), European Congress of Radiology 2021, Mar. 2021.

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