Hirokazu Nosato

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 20

Top Topics

Convolutional Neural Networks

Satellite Images

Multiple Instance

Top Venues

BIOSTEC (Selected Papers)

Publications

Takeshi Yoshida, Kazuki Uehara, Hidenori Sakanashi, Hirokazu Nosato, Masahiro Murakawa
Multi-Scale Feature Aggregation Based Multiple Instance Learning for Pathological Image Classification. ICPRAM (2023)
Takeshi Yoshida, Kazuki Uehara, Hidenori Sakanashi, Hirokazu Nosato, Masahiro Murakawa
MSAA-Net: Multi-Scale Attention Assembler Network Based on Multiple Instance Learning for Pathological Image Analysis. ICPRAM (Revised Selected Papers) (2023)
Rina Kagawa, Hidehito Honda, Hirokazu Nosato
The Impact of the Balance between Trust in Advice and Confidence in Human Judgment on Advice Utilization. CogSci (2023)
Kazuki Uehara, Wataru Uegami, Hirokazu Nosato, Masahiro Murakawa, Junya Fukuoka, Hidenori Sakanashi
Evidence Dictionary Network Using Multiple Instance Contrastive Learning for Explainable Pathological Image Analysis. ISBI (2023)
Kazuki Uehara, Wataru Uegami, Hirokazu Nosato, Masahiro Murakawa, Junya Fukuoka, Hidenori Sakanashi
Explainable Deep Feature Embedding Using Multiple Instance Learning for Pathological Image Analysis. AAAI Spring Symposium: MAKE (2022)
Kaiwen Yang, Aiga Suzuki, Jiaxing Ye, Hirokazu Nosato, Ayumi Izumori, Hidenori Sakanashi
Multi-task Learning with Consistent Prediction for Efficient Breast Ultrasound Tumor Detection. BIBM (2022)
Rina Kagawa, Masaru Shirasuna, Atsushi Ikeda, Masaru Sanuki, Hidehito Honda, Hirokazu Nosato
One-second Boosting: A Simple and Cost-effective Intervention that Promotes the Optimal Allocation of Cognitive Resources. CogSci (2022)
Kazuki Uehara, Masahiro Murakawa, Hirokazu Nosato, Hidenori Sakanashi
Explainable Feature Embedding using Convolutional Neural Networks for Pathological Image Analysis. ICPR (2020)
Kazuki Uehara, Masahiro Murakawa, Hirokazu Nosato, Hidenori Sakanashi
Multi-Scale Explainable Feature Learning for Pathological Image Analysis Using Convolutional Neural Networks. ICIP (2020)
Kazuki Uehara, Masahiro Murakawa, Hirokazu Nosato, Hidenori Sakanashi
Prototype-Based Interpretation of Pathological Image Analysis by Convolutional Neural Networks. ACPR (2) (2019)
Jia Qu, Nobuyuki Hiruta, Kensuke Terai, Hirokazu Nosato, Masahiro Murakawa, Hidenori Sakanashi
Stepwise Transfer of Domain Knowledge for Computer-Aided Diagnosis in Pathology Using Deep Neural Networks. BIOSTEC (Selected Papers) (2019)
Jia Qu, Nobuyuki Hiruta, Kensuke Terai, Hirokazu Nosato, Masahiro Murakawa, Hidenori Sakanashi
Enhanced Deep Learning for Pathology Image Classification: A Knowledge Transfer based Stepwise Fine-tuning Scheme. BIOIMAGING (2019)
Kazuki Uehara, Hirokazu Nosato, Masahiro Murakawa, Hidenori Sakanashi
Object Detection in Satellite Images Based on Active Learning Utilizing Visual Explanation. ISPA (2019)
Hiroki Miyamoto, Kazuki Uehara, Masahiro Murakawa, Hidenori Sakanashi, Hirokazu Nosato, Toru Kouyama, Ryosuke Nakamura
Object Detection in Satellite Imagery using 2-Step Convolutional Neural Networks. CoRR (2018)
Hiroki Miyamoto, Kazuki Uehara, Masahiro Murakawa, Hidenori Sakanashi, Hirokazu Nosato, Toru Kouyama, Ryosuke Nakamura
Object Detection in Satellite Imagery Using 2-Step Convolutional Neural Networks. IGARSS (2018)
Hirokazu Nosato, Hidenori Sakanashi, Eiichi Takahashi, Masahiro Murakawa, Hiroshi Aoki, Ken Takeuchi, Yasuo Suzuki
Image Retrieval Method for Multiscale Objects from Optical Colonoscopy Images. Int. J. Biomed. Imaging 2017 (2017)
Kazuki Uehara, Hidenori Sakanashi, Hirokazu Nosato, Masahiro Murakawa, Hiroki Miyamoto, Ryosuke Nakamura
Object Detection of Satellite Images Using Multi-Channel Higher-order Local Autocorrelation. CoRR (2017)
Kazuki Uehara, Hidenori Sakanashi, Hirokazu Nosato, Masahiro Murakawa, Hiroki Miyamoto, Ryosuke Nakamura
Object detection of satellite images using multi-channel higher-order local autocorrelation. SMC (2017)
Hirokazu Nosato, Hidenori Sakanashi, Eiichi Takahashi, Masahiro Murakawa
A content-based image retrieval method for optical colonoscopy images based on image recognition techniques. Medical Imaging: Computer-Aided Diagnosis (2015)
Hirokazu Nosato, Hidenori Sakanashi, Eiichi Takahashi, Masahiro Murakawa
Method of retrieving multi-scale objects from optical colonoscopy images based on image-recognition techniques. BioCAS (2015)
Hirokazu Nosato, Hidenori Sakanashi, Eiichi Takahashi, Masahiro Murakawa
An objective evaluation method of ulcerative colitis with optical colonoscopy images based on higher order local auto-correlation features. ISBI (2014)
Jia Qu, Hirokazu Nosato, Hidenori Sakanashi, Eiichi Takahashi, Kensuke Terai, Nobuyuki Hiruta
Computational cancer detection of pathological images based on an optimization method for color-index local auto-correlation feature extraction. ISBI (2014)
Erzhong Hu, Hirokazu Nosato, Hidenori Sakanashi, Masahiro Murakawa
A modified anomaly detection method for capsule endoscopy images using non-linear color conversion and Higher-order Local Auto-Correlation (HLAC). EMBC (2013)
Hirokazu Nosato, Tsukasa Kurihara, Hidenori Sakanashi, Masahiro Murakawa, Takumi Kobayashi, Tatsumi Furuya, Tetsuya Higuchi, Nobuyuki Otsu, Kensuke Terai, Nobuyuki Hiruta
An Extended Method of Higher-order Local Autocorrelation Feature Extraction for Classification of Histopathological Images. Inf. Media Technol. 7 (1) (2012)
Erzhong Hu, Hirokazu Nosato, Hidenori Sakanashi, Masahiro Murakawa
Anomaly detection for capsule endoscopy images using higher-order Local Auto Correlation features. SMC (2012)
Hirokazu Nosato, Tsukasa Kurihara, Hidenori Sakanashi, Masahiro Murakawa, Takumi Kobayashi, Tatsumi Furuya, Tetsuya Higuchi, Nobuyuki Otsu, Kensuke Terai, Nobuyuki Hiruta
An Extended Method of Higher-order Local Autocorrelation Feature Extraction for Classification of Histopathological Images. IPSJ Trans. Comput. Vis. Appl. 3 (2011)
Hirokazu Nosato, Hidenori Sakanashi, Masahiro Murakawa, Tetsuya Higuchi, Nobuyuki Otsu, Kensuke Terai, Nobuyuki Hiruta, Noriaki Kameda
Histopathological Diagnostic Support Technology Using Higher-Order Local Autocorrelation Features. BLISS (2009)
Nobuharu Murata, Hirokazu Nosato, Tatsumi Furuya, Masahiro Murakawa
Robust and Efficient Multi-objective Automatic Adjustment for Optical Axes in Laser Systems Using Stochastic Binary Search Algorithm. ICES (2007)
Tetsuaki Matsunawa, Hirokazu Nosato, Hidenori Sakanashi, Masahiro Murakawa, Eiichi Takahashi, Tsuneo Terasawa, Toshihiko Tanaka, Osamu Suga, Tetsuya Higuchi
Adaptive Optical Proximity Correction Using an Optimization Method. CIT (2007)
Hirokazu Nosato, Masahiro Murakawa, Tetsuya Higuchi
Automatic Alignment of Multiple Optical Components Using Genetic Algorithm. AHS (2006)
Nobuharu Murata, Tatsumi Furuya, Hirokazu Nosato, Masahiro Murakawa
An Automatic Multi-objective Adjustment System for Optical Axes using Genetic Algorithms. ISDA (2005)
Hirokazu Nosato, Taro Itatani, Masahiro Murakawa, Tetsuya Higuchi, Hitoshi Noguchi
Automatic wave-front correction of a femtosecond laser using genetic algorithm. SMC (4) (2004)
Hirokazu Nosato, Yuji Kasai, Masahiro Murakawa, Taro Itatani, Tetsuya Higuchi
Automatic adjustments of a femtosecond-pulses laser using genetic algorithms. IEEE Congress on Evolutionary Computation (2003)
Masahiro Murakawa, Hirokazu Nosato, Tetsuya Higuchi
Automatic Optical Fiber Alignment System Using Genetic Algorithms. Artificial Evolution (2003)
Hirokazu Nosato, Yuji Kasai, Taro Itatani, Masahiro Murakawa, Tatsumi Furuya, Tetsuya Higuchi
Evolvable Optical Systems and Their Applications. ICES (2001)