Evolvable Optical Systems and Their Applications. - Hirokazu Nosato; Yuji Kasai; Taro Itatani; Masahiro Murakawa; Tatsumi Furuya; Tetsuya Higuchi (ICES, 2001)

Automatic Optical Fiber Alignment System Using Genetic Algorithms. - Masahiro Murakawa; Hirokazu Nosato; Tetsuya Higuchi (Artificial Evolution, 2003)

Automatic adjustments of a femtosecond-pulses laser using genetic algorithms. - Hirokazu Nosato; Yuji Kasai; Masahiro Murakawa; Taro Itatani; Tetsuya Higuchi (IEEE Congress on Evolutionary Computation, 2003)

Automatic wave-front correction of a femtosecond laser using genetic algorithm. - Hirokazu Nosato; Taro Itatani; Masahiro Murakawa; Tetsuya Higuchi; Hitoshi Noguchi (SMC (4), 2004)

An Automatic Multi-objective Adjustment System for Optical Axes using Genetic Algorithms. - Nobuharu Murata; Tatsumi Furuya; Hirokazu Nosato; Masahiro Murakawa (ISDA, 2005)

Evolvable Optical Systems. - Hirokazu Nosato; Masahiro Murakawa; Yuji Kasai; Tetsuya Higuchi (Evolvable Hardware, 2006)

Automatic Alignment of Multiple Optical Components Using Genetic Algorithm. - Hirokazu Nosato; Masahiro Murakawa; Tetsuya Higuchi (AHS, 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)

Robust and Efficient Multi-objective Automatic Adjustment for Optical Axes in Laser Systems Using Stochastic Binary Search Algorithm. - Nobuharu Murata; Hirokazu Nosato; Tatsumi Furuya; Masahiro Murakawa (ICES, 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)

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)

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)

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)

One-second Boosting: A Simple and Cost-effective Intervention that Promotes the Optimal Allocation of Cognitive Resources. - Rina Kagawa; Masaru Shirasuna; Atsushi Ikeda; Masaru Sanuki; Hidehito Honda; Hirokazu Nosato (CogSci, 2022)

The Impact of the Balance between Trust in Advice and Confidence in Human Judgment on Advice Utilization. - Rina Kagawa; Hidehito Honda; Hirokazu Nosato (CogSci, 2023)

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)