Adaptive Search Strategy for Genetic Algorithms with Additional Genetic Algorithms. - Yukinori Kakazu; Hidenori Sakanashi; Keiji Suzuki (PPSN, 1992)

Controlling Dynamics of GA through Filtered Evaluation Function. - Hidenori Sakanashi; Keiji Suzuki; Yukinori Kakazu (PPSN, 1994)

An Approach for Genetic Synthesizer of Binary Decision Diagram. - Hidenori Sakanashi; Tetsuya Higuchi; Hitoshi Iba; Yukinori Kakazu (International Conference on Evolutionary Computation, 1996)

Evolution of Binary Decision Diagrams for Digital Circuit Design Using Genetic Programming. - Hidenori Sakanashi; Tetsuya Higuchi; Hitoshi Iba; Yukinori Kakazu (ICES, 1996)

Evolvable Hardware Chip for High Precision Printer Image Compression. - Hidenori Sakanashi; Mehrdad Salami; Masaya Iwata; Shogo Nakaya; Tsukasa Yamauchi; Takeshi Inuo; Nobuki Kajihara; Tetsuya Higuchi (AAAI/IAAI, 1998)

On-Line Compression of High Precision Printer Images by Evolvable Hardware. - Mehrdad Salami; Hidenori Sakanashi; Masaharu Tanaka; Masaya Iwata; Takio Kurita; Tetsuya Higuchi (Data Compression Conference, 1998)

Data Compression for Digital Color Electrophotographic Printer with Evolvable Hardware. - Masaharu Tanaka; Hidenori Sakanashi; Mehrdad Salami; Masaya Iwata; Takio Kurita; Tetsuya Higuchi (ICES, 1998)

Evolvable Hardware Chips for Neural Network Applications. - Isamu Kajitani; Masahiro Murakawa; Nobuki Kajihara; Masaya Iwata; Hidenori Sakanashi; Tetsuya Higuchi (ICANNGA, 1999)

Real-world applications of analog and digital evolvable hardware . - Tetsuya Higuchi; Masaya Iwata; Didier Keymeulen; Hidenori Sakanashi; Masahiro Murakawa; Isamu Kajitani; Eiichi Takahashi; Kenji Toda; Mehrdad Salami; Nobuki Kajihara; Nobuyuki Otsu (IEEE Trans. Evol. Comput., 1999)

Adaptive Wavelet Transform for Lossless Compression using Genetic Algorithm. - Yasuo Takehisa; Hidenori Sakanashi; Tetsuya Higuchi (GECCO, 2000)

Initial Evaluation of an Evolvable Microwave Circuit. - Yuji Kasai; Hidenori Sakanashi; Masahiro Murakawa; Shogo Kiryu; Neil Marston; Tetsuya Higuchi (ICES, 2000)

A Lossless Compression Method for Halftone Images Using Evolvable Hardware. - Hidenori Sakanashi; Masaya Iwata; Tetsuya Higuchi (ICES, 2001)

Adaptive Waveform Control in a Data Transceiver for Multi-speed IEEE1394 and USB Communication. - Yuji Kasai; Eiichi Takahashi; Masaya Iwata; Yosuke Iijima; Hidenori Sakanashi; Masahiro Murakawa; Tetsuya Higuchi (ICES, 2005)

Evolvable Analog LSI. - Masahiro Murakawa; Yuji Kasai; Hidenori Sakanashi; Tetsuya Higuchi (Evolvable Hardware, 2006)

EHW Applied to Image Data Compression. - Hidenori Sakanashi; Masaya Iwata; Tetsuya Higuchi (Evolvable Hardware, 2006)

An Image Rejection Mixer with AI-Based Improved Performance for WCDMA Applications. - Yuji Kasai; Kiyoshi Miyashita; Hidenori Sakanashi; Eiichi Takahashi; Masaya Iwata; Masahiro Murakawa; Kiyoshi Watanabe; Yukihiro Ueda; Kaoru Takasuka; Tetsuya Higuchi (IEICE Trans. Electron., 2006)

Adaptive Optical Proximity Correction Using an Optimization Method. - Tetsuaki Matsunawa; Hirokazu Nosato; Hidenori Sakanashi; Masahiro Murakawa; Eiichi Takahashi; Tsuneo Terasawa; Toshihiko Tanaka; Osamu Suga; Tetsuya Higuchi (CIT, 2007)

Histopathological Diagnostic Support Technology Using Higher-Order Local Autocorrelation Features. - Hirokazu Nosato; Hidenori Sakanashi; Masahiro Murakawa; Tetsuya Higuchi; Nobuyuki Otsu; Kensuke Terai; Nobuyuki Hiruta; Noriaki Kameda (BLISS, 2009)

An Extended Method of Higher-order Local Autocorrelation Feature Extraction for Classification of Histopathological Images. - Hirokazu Nosato; Tsukasa Kurihara; Hidenori Sakanashi; Masahiro Murakawa; Takumi Kobayashi 001; Tatsumi Furuya; Tetsuya Higuchi; Nobuyuki Otsu; Kensuke Terai; Nobuyuki Hiruta (IPSJ Trans. Comput. Vis. Appl., 2011)

Anomaly detection for capsule endoscopy images using higher-order Local Auto Correlation features. - Erzhong Hu; Hirokazu Nosato; Hidenori Sakanashi; Masahiro Murakawa (SMC, 2012)

A modified anomaly detection method for capsule endoscopy images using non-linear color conversion and Higher-order Local Auto-Correlation (HLAC). - Erzhong Hu; Hirokazu Nosato; Hidenori Sakanashi; Masahiro Murakawa (EMBC, 2013)

An objective evaluation method of ulcerative colitis with optical colonoscopy images based on higher order local auto-correlation features. - Hirokazu Nosato; Hidenori Sakanashi; Eiichi Takahashi; Masahiro Murakawa (ISBI, 2014)

Computational cancer detection of pathological images based on an optimization method for color-index local auto-correlation feature extraction. - Jia Qu; Hirokazu Nosato; Hidenori Sakanashi; Eiichi Takahashi; Kensuke Terai; Nobuyuki Hiruta (ISBI, 2014)

Method of retrieving multi-scale objects from optical colonoscopy images based on image-recognition techniques. - Hirokazu Nosato; Hidenori Sakanashi; Eiichi Takahashi; Masahiro Murakawa (BioCAS, 2015)

A content-based image retrieval method for optical colonoscopy images based on image recognition techniques. - Hirokazu Nosato; Hidenori Sakanashi; Eiichi Takahashi; Masahiro Murakawa (Computer-Aided Diagnosis, 2015)

Object detection of satellite images using multi-channel higher-order local autocorrelation. - Kazuki Uehara; Hidenori Sakanashi; Hirokazu Nosato; Masahiro Murakawa; Hiroki Miyamoto; Ryosuke Nakamura (SMC, 2017)

An automatic templates selection method for ultrasound guided tumor tracking. - Ryosuke Kondo; Norihiro Koizumi; Kyohei Tomita; Yu Nishiyama; Hidenori Sakanashi; Hiroyuki Fukuda; Hiroyuki Tsukihara; Kazushi Numata; Mamoru Mitusishi; Yoichiro Matsumoto (URAI, 2017)

Image Retrieval Method for Multiscale Objects from Optical Colonoscopy Images. - Hirokazu Nosato; Hidenori Sakanashi; Eiichi Takahashi; Masahiro Murakawa; Hiroshi Aoki; Ken Takeuchi; Yasuo Suzuki (Int. J. Biomed. Imaging, 2017)

Object Detection in Satellite Imagery Using 2-Step Convolutional Neural Networks. - Hiroki Miyamoto; Kazuki Uehara; Masahiro Murakawa; Hidenori Sakanashi; Hirokazu Nosato; Toru Kouyama; Ryosuke Nakamura (IGARSS, 2018)

Feature Representation Analysis of Deep Convolutional Neural Network using Two-stage Feature Transfer -An Application for Diffuse Lung Disease Classification-. - Aiga Suzuki; Hidenori Sakanashi; Shoji Kido; Hayaru Shouno (CoRR, 2018)

Prototype-Based Interpretation of Pathological Image Analysis by Convolutional Neural Networks. - Kazuki Uehara; Masahiro Murakawa; Hirokazu Nosato; Hidenori Sakanashi (ACPR (2), 2019)

Enhanced Deep Learning for Pathology Image Classification: A Knowledge Transfer based Stepwise Fine-tuning Scheme. - Jia Qu; Nobuyuki Hiruta; Kensuke Terai; Hirokazu Nosato; Masahiro Murakawa; Hidenori Sakanashi (BIOIMAGING, 2019)

Stepwise Transfer of Domain Knowledge for Computer-Aided Diagnosis in Pathology Using Deep Neural Networks. - Jia Qu; Nobuyuki Hiruta; Kensuke Terai; Hirokazu Nosato; Masahiro Murakawa; Hidenori Sakanashi (BIOSTEC (Selected Papers), 2019)

PCI: Principal Component Initialization for Deep Autoencoders. - Aiga Suzuki; Hidenori Sakanashi (ICANN (2), 2019)

Object Detection in Satellite Images Based on Active Learning Utilizing Visual Explanation. - Kazuki Uehara; Hirokazu Nosato; Masahiro Murakawa; Hidenori Sakanashi (ISPA, 2019)

Multi-Scale Explainable Feature Learning for Pathological Image Analysis Using Convolutional Neural Networks. - Kazuki Uehara; Masahiro Murakawa; Hirokazu Nosato; Hidenori Sakanashi (ICIP, 2020)

Explainable Feature Embedding using Convolutional Neural Networks for Pathological Image Analysis. - Kazuki Uehara; Masahiro Murakawa; Hirokazu Nosato; Hidenori Sakanashi (ICPR, 2020)

Explainable Deep Feature Embedding Using Multiple Instance Learning for Pathological Image Analysis. - Kazuki Uehara; Wataru Uegami; Hirokazu Nosato; Masahiro Murakawa; Junya Fukuoka; Hidenori Sakanashi (AAAI Spring Symposium: MAKE, 2022)

Multi-task Learning with Consistent Prediction for Efficient Breast Ultrasound Tumor Detection. - Kaiwen Yang; Aiga Suzuki; Jiaxing Ye; Hirokazu Nosato; Ayumi Izumori; Hidenori Sakanashi (BIBM, 2022)

Multi-Scale Feature Aggregation Based Multiple Instance Learning for Pathological Image Classification. - Takeshi Yoshida; Kazuki Uehara; Hidenori Sakanashi; Hirokazu Nosato; Masahiro Murakawa (ICPRAM, 2023)

MSAA-Net: Multi-Scale Attention Assembler Network Based on Multiple Instance Learning for Pathological Image Analysis. - Takeshi Yoshida; Kazuki Uehara; Hidenori Sakanashi; Hirokazu Nosato; Masahiro Murakawa (ICPRAM (Revised Selected Papers), 2023)

Evidence Dictionary Network Using Multiple Instance Contrastive Learning for Explainable Pathological Image Analysis. - Kazuki Uehara; Wataru Uegami; Hirokazu Nosato; Masahiro Murakawa; Junya Fukuoka; Hidenori Sakanashi (ISBI, 2023)

Ensemble Distillation of Divergent Opinions for Robust Pathological Image Classification. - Kazuki Uehara; Wataru Uegami; Hirokazu Nosato; Masahiro Murakawa; Junya Fukuoka; Hidenori Sakanashi (EMBC, 2024)