Hidenori Sakanashi

Evolvable Hardware Chips for Neural Network Applications

Isamu Kajitani, Masaya Iwata, Tetsuya Higuchi, 1999, ICANNGA.

Prototype-Based Interpretation of Pathological Image Analysis by Convolutional Neural Networks

Masahiro Murakawa, Hidenori Sakanashi, Kazuki Uehara, 2019, ACPR.

Hotspot detection using image pattern recognition based on higher-order local auto-correlation

Soichi Inoue, Hirotaka Ichikawa, Toshiya Kotani, 2011, Advanced Lithography.

An approach for genetic synthesizer of binary decision diagram

Hitoshi Iba, Yukinori Kakazu, Hidenori Sakanashi, 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

Enhanced Deep Learning for Pathology Image Classification: A Knowledge Transfer based Stepwise Fine-tuning Scheme

Masahiro Murakawa, Jia Qu, Hidenori Sakanashi, 2019, BIOIMAGING.

Multi-channel higher-order local autocorrelation for object detection on satellite images

Masahiro Murakawa, Ryosuke Nakamura, Hidenori Sakanashi, 2020, International Journal of Remote Sensing.

PCI: Principal Component Initialization for Deep Autoencoders

Aiga Suzuki, Hidenori Sakanashi, 2019, ICANN.

Stepwise Transfer of Domain Knowledge for Computer-Aided Diagnosis in Pathology Using Deep Neural Networks

Jia Qu, Masahiro Murakawa, Hidenori Sakanashi, 2019, BIOSTEC.

Evolvable hardware chips and their applications

Isamu Kajitani, Masaya Iwata, Tetsuya Higuchi, 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

Object detection in satellite images based on human cooperative semi-self-training

Masahiro Murakawa, Hidenori Sakanashi, Kazuki Uehara, 2019, Remote Sensing.

Bi‐level image coding for digital printing using genetic algorithm

Tetsuya Higuchi, Masaharu Tanaka, Masanobu Mizoguchi, 2001 .

Ultimately accurate SRAF replacement for practical phases using an adaptive search algorithm based on the optimal gradient method

Soichi Inoue, Shigeki Nojima, Tetsuaki Matsunawa, 2010, Advanced Lithography.

Development of evolvable hardware at Electrotechnical Laboratory

Isamu Kajitani, Masaya Iwata, Tetsuya Higuchi, 2000, 2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies.

Multi-Scale Explainable Feature Learning for Pathological Image Analysis Using Convolutional Neural Networks

Masahiro Murakawa, Hidenori Sakanashi, Kazuki Uehara, 2020, 2020 IEEE International Conference on Image Processing (ICIP).

EHW Applied to Image Data Compression

Masaya Iwata, Tetsuya Higuchi, Hidenori Sakanashi, 2006, Evolvable Hardware.

Generator of predictive verification pattern using vision system based on higher-order local autocorrelation

Hirotaka Ichikawa, Shigeki Nojima, Shoji Mimotogi, 2012, Advanced Lithography.

Gastric Pathology Image Classification Using Stepwise Fine-Tuning for Deep Neural Networks

Masahiro Murakawa, Jia Qu, Hidenori Sakanashi, 2018, Journal of healthcare engineering.