Hirokazu Nosato - researchr alias

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Viewing Publication 1 - 31 from 31

2023

2022

Explainable Deep Feature Embedding Using Multiple Instance Learning for Pathological Image AnalysisKazuki Uehara, Wataru Uegami, Hirokazu Nosato, Masahiro Murakawa, Junya Fukuoka, Hidenori Sakanashi. aaaiss 2022: [doi]

Multi-task Learning with Consistent Prediction for Efficient Breast Ultrasound Tumor DetectionKaiwen Yang, Aiga Suzuki, Jiaxing Ye, Hirokazu Nosato, Ayumi Izumori, Hidenori Sakanashi. bibm 2022: 3201-3208 [doi]

2020

Multi-Scale Explainable Feature Learning for Pathological Image Analysis Using Convolutional Neural NetworksKazuki Uehara, Masahiro Murakawa, Hirokazu Nosato, Hidenori Sakanashi. icip 2020: 1931-1935 [doi]

Explainable Feature Embedding using Convolutional Neural Networks for Pathological Image AnalysisKazuki Uehara, Masahiro Murakawa, Hirokazu Nosato, Hidenori Sakanashi. icpr 2021: 4560-4565 [doi]

2019

Enhanced Deep Learning for Pathology Image Classification: A Knowledge Transfer based Stepwise Fine-tuning SchemeJia Qu, Nobuyuki Hiruta, Kensuke Terai, Hirokazu Nosato, Masahiro Murakawa, Hidenori Sakanashi. biostec 2019: 92-99 [doi]

Stepwise Transfer of Domain Knowledge for Computer-Aided Diagnosis in Pathology Using Deep Neural NetworksJia Qu, Nobuyuki Hiruta, Kensuke Terai, Hirokazu Nosato, Masahiro Murakawa, Hidenori Sakanashi. biostec 2020: 105-119 [doi]

Prototype-Based Interpretation of Pathological Image Analysis by Convolutional Neural NetworksKazuki Uehara, Masahiro Murakawa, Hirokazu Nosato, Hidenori Sakanashi. acpr 2020: 640-652 [doi]

Object Detection in Satellite Images Based on Active Learning Utilizing Visual ExplanationKazuki Uehara, Hirokazu Nosato, Masahiro Murakawa, Hidenori Sakanashi. imspa 2019: 27-31 [doi]

2018

Object Detection in Satellite Imagery Using 2-Step Convolutional Neural NetworksHiroki Miyamoto, Kazuki Uehara, Masahiro Murakawa, Hidenori Sakanashi, Hirokazu Nosato, Toru Kouyama, Ryosuke Nakamura. igarss 2018: 1268-1271 [doi]

2017

Image Retrieval Method for Multiscale Objects from Optical Colonoscopy ImagesHirokazu Nosato, Hidenori Sakanashi, Eiichi Takahashi, Masahiro Murakawa, Hiroshi Aoki, Ken Takeuchi, Yasuo Suzuki. ijbi, 2017, 2017. [doi]

Object detection of satellite images using multi-channel higher-order local autocorrelationKazuki Uehara, Hidenori Sakanashi, Hirokazu Nosato, Masahiro Murakawa, Hiroki Miyamoto, Ryosuke Nakamura. SMC 2017: 1339-1344 [doi]

2015

Method of retrieving multi-scale objects from optical colonoscopy images based on image-recognition techniquesHirokazu Nosato, Hidenori Sakanashi, Eiichi Takahashi, Masahiro Murakawa. biocas 2015: 1-4 [doi]

A content-based image retrieval method for optical colonoscopy images based on image recognition techniquesHirokazu Nosato, Hidenori Sakanashi, Eiichi Takahashi, Masahiro Murakawa. micad 2015: [doi]

2014

An objective evaluation method of ulcerative colitis with optical colonoscopy images based on higher order local auto-correlation featuresHirokazu Nosato, Hidenori Sakanashi, Eiichi Takahashi, Masahiro Murakawa. isbi 2014: 89-92 [doi]

Computational cancer detection of pathological images based on an optimization method for color-index local auto-correlation feature extractionJia Qu, Hirokazu Nosato, Hidenori Sakanashi, Eiichi Takahashi, Kensuke Terai, Nobuyuki Hiruta. isbi 2014: 822-825 [doi]

2013

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: 5477-5480 [doi]

2012

Anomaly detection for capsule endoscopy images using higher-order Local Auto Correlation featuresErzhong Hu, Hirokazu Nosato, Hidenori Sakanashi, Masahiro Murakawa. SMC 2012: 2289-2293 [doi]

2011

An Extended Method of Higher-order Local Autocorrelation Feature Extraction for Classification of Histopathological ImagesHirokazu Nosato, Tsukasa Kurihara, Hidenori Sakanashi, Masahiro Murakawa, Takumi Kobayashi, Tatsumi Furuya, Tetsuya Higuchi, Nobuyuki Otsu, Kensuke Terai, Nobuyuki Hiruta. ipsjtcva, 3:211-221, 2011. [doi]

2009

Histopathological Diagnostic Support Technology Using Higher-Order Local Autocorrelation FeaturesHirokazu Nosato, Hidenori Sakanashi, Masahiro Murakawa, Tetsuya Higuchi, Nobuyuki Otsu, Kensuke Terai, Nobuyuki Hiruta, Noriaki Kameda. bliss 2009: 61-65 [doi]

2007

Adaptive Optical Proximity Correction Using an Optimization MethodTetsuaki Matsunawa, Hirokazu Nosato, Hidenori Sakanashi, Masahiro Murakawa, Eiichi Takahashi, Tsuneo Terasawa, Toshihiko Tanaka, Osamu Suga, Tetsuya Higuchi. IEEEcit 2007: 853-860 [doi]

Robust and Efficient Multi-objective Automatic Adjustment for Optical Axes in Laser Systems Using Stochastic Binary Search AlgorithmNobuharu Murata, Hirokazu Nosato, Tatsumi Furuya, Masahiro Murakawa. ices 2007: 343-354 [doi]

2006

Evolvable Optical SystemsHirokazu Nosato, Masahiro Murakawa, Yuji Kasai, Tetsuya Higuchi. In Tetsuya Higuchi, Yong Liu 0012, Xin Yao 0001, editors, Evolvable Hardware. Genetic and Evolutionary Computation, pages 199-207, Springer, 2006. [doi]

Automatic Alignment of Multiple Optical Components Using Genetic AlgorithmHirokazu Nosato, Masahiro Murakawa, Tetsuya Higuchi. ahs 2006: 67-73 [doi]

2005

An Automatic Multi-objective Adjustment System for Optical Axes using Genetic AlgorithmsNobuharu Murata, Tatsumi Furuya, Hirokazu Nosato, Masahiro Murakawa. isda 2005: 546-551 [doi]

2004

Automatic wave-front correction of a femtosecond laser using genetic algorithmHirokazu Nosato, Taro Itatani, Masahiro Murakawa, Tetsuya Higuchi, Hitoshi Noguchi. SMC 2004: 3675-3679 [doi]

2003

Automatic Optical Fiber Alignment System Using Genetic AlgorithmsMasahiro Murakawa, Hirokazu Nosato, Tetsuya Higuchi. ae 2004: 129-140 [doi]

Automatic adjustments of a femtosecond-pulses laser using genetic algorithmsHirokazu Nosato, Yuji Kasai, Masahiro Murakawa, Taro Itatani, Tetsuya Higuchi. cec 2003: 2096-2101 [doi]

2001

Evolvable Optical Systems and Their ApplicationsHirokazu Nosato, Yuji Kasai, Taro Itatani, Masahiro Murakawa, Tatsumi Furuya, Tetsuya Higuchi. ices 2001: 327-340 [doi]

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