Aliasing error for a mask ROM built-in self-test. - Kazuhiko Iwasaki; Akinori Furuta; Shigeo Nakamura (VTS, 1994)

Aliasing Error for a Mask ROM Built-In Self-Test. - Kazuhiko Iwasaki; Shigeo Nakamura (IEEE Trans. Computers, 1996)

Experimental fault analysis of 1 Mb SRAM chips. - Hiroyuki Goto; Shigeo Nakamura; Kazuhiko Iwasaki (VTS, 1997)

Identification of Agents' Strategy Making Process by an Experimental Market. - Kiyoshi Izumi; Shigeo Nakamura; Kazuhiro Ueda (JCIS, 2002)

Development of an artificial market model based on a field study. - Kiyoshi Izumi; Shigeo Nakamura; Kazuhiro Ueda (Inf. Sci., 2005)

Towards solving an obstacle problem by the cooperation of UAVs and UGVs. - Shigeo Nakamura; Hiroyuki Nakagawa; Yasuyuki Tahara; Akihiko Ohsuga (SAC, 2013)

All-in-one bag based photooxidative cell membrane perforation system for mass cell processing. - Takahiro Hasimoto; Misato Kikuchi; Takayoshi Ohba; Keiichi Ito; Shigeo Nakamura; Chumei Saito; Takashi K. Saito (MHS, 2017)

Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images. - Noriaki Hashimoto; Daisuke Fukushima; Ryoichi Koga; Yusuke Takagi; Kaho Ko; Kei Kohno; Masato Nakaguro; Shigeo Nakamura; Hidekata Hontani; Ichiro Takeuchi (CVPR, 2020)

Multi-scale domain-adversarial multiple-instance CNN for cancer subtype classification with non-annotated histopathological images. - Noriaki Hashimoto; Daisuke Fukushima; Ryoichi Koga; Yusuke Takagi; Kaho Ko; Kei Kohno; Masato Nakaguro; Shigeo Nakamura; Hidekata Hontani; Ichiro Takeuchi (CoRR, 2020)

Subtype classification of malignant lymphoma using immunohistochemical staining pattern. - Noriaki Hashimoto; Kaho Ko; Tatsuya Yokota; Kei Kohno; Masato Nakaguro; Shigeo Nakamura; Ichiro Takeuchi; Hidekata Hontani (Int. J. Comput. Assist. Radiol. Surg., 2022)

A Middleware to Improve Analysis Coverage in IoT Vulnerability Detection. - Minami Yoda; Shigeo Nakamura; Yuichi Sei; Yasuyuki Tahara; Akihiko Ohsuga (IoTaIS, 2023)

Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning. - Noriaki Hashimoto; Yusuke Takagi; Hiroki Masuda; Hiroaki Miyoshi; Kei Kohno; Miharu Nagaishi; Kensaku Sato; Mai Takeuchi; Takuya Furuta; Keisuke Kawamoto; Kyohei Yamada; Mayuko Moritsubo; et al. (Medical Image Anal., 2023)

YODA: Middleware for Improving Setup and Preprocessing in Static Analysis of IoT Firmware. - Minami Yoda; Shigeo Nakamura; Yutaka Matsuno; Yuichi Sei; Yasuyuki Tahara; Akihiko Ohsuga (IIAI-AAI, 2024)