The Architecture and Preliminary Evaluation Results of the Experimental Parallel Inference Machine PIM-D. - Noriyoshi Ito; Masatoshi Sato; Eiji Kuno; Kazuaki Rokusawa (ISCA, 1986)

KL1 Execution Model for PIM Cluster with Shared Memory. - Masatoshi Sato; Hajime Shimizu; Akira Matsumoto; Kazuaki Rokusawa; Atsuhiro Goto (ICLP, 1987)

Overview of the Parallel Inference Machine Architecture (PIM). - Atsuhiro Goto; Masatoshi Sato; Katsuto Nakajima; Kazuo Taki; Akira Matsumoto (FGCS, 1988)

Development of an Omni-Directional Mobile Robot with 3 DOF Decoupling Drive Mechanism. - Hajime Asama; Masatoshi Sato; Luca Bogoni; Hayato Kaetsu; Akihiro Matsumoto; Isao Endo (ICRA, 1995)

Mutual transportation of cooperative mobile robots using forklift mechanisms. - Hajime Asama; Masatoshi Sato; Nobuyuki Goto; Hayato Kaetsu; Akihiro Matsumoto; Isao Endo (ICRA, 1996)

A path searching method based on circuit analysis for nonlinear resistive networks. - Masatoshi Sato; Hisashi Aomori; Mamoru Tanaka (ECCTD, 2007)

Nonlinear synaptic Neural Network for Maximum Flow problems. - Masatoshi Sato; Hisashi Aomori; Mamoru Tanaka (IJCNN, 2009)

Maximum-Flow Neural Network: A Novel Neural Network for the Maximum Flow Problem. - Masatoshi Sato; Hisashi Aomori; Mamoru Tanaka (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2009)

Node voltages in nonlinear resistive circuits enable new approach to the minimum cut problem. - Masatoshi Sato; Hisashi Aomori; Mamoru Tanaka (ISCAS, 2014)

New image denoising method using multiple-minimum cuts based on maximum-flow neural network. - Masatoshi Sato; Tsuyoshi Otake; Hisashi Aomori; Mamoru Tanaka (ECCTD, 2015)

Image Segmentation Using Graph Cuts Based on Maximum-Flow Neural Network. - Masatoshi Sato; Hideharu Toda; Hisashi Aomori; Tsuyoshi Otake; Mamoru Tanaka (ICONIP (1), 2016)