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Yoshihiko Hamamoto
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2020 – today
- 2024
- [c41]Kazuma Nakata, Yusuke Fujita, Yoshihiro Mitani, Yoshihiko Hamamoto, Makoto Segawa, Shuji Terai:
ROI Selection to Improve Prediction Performance of CNN for Cirrhosis Detection Using Ultrasound Images. GCCE 2024: 628-632 - 2022
- [j15]Yoshihiro Mitani
, Robert B. Fisher, Yusuke Fujita, Yoshihiko Hamamoto, Isao Sakaida:
Image Correction Methods for Regions of Interest in Liver Cirrhosis Classification on CNNs. Sensors 22(9): 3378 (2022) - [c40]Yoshihiro Mitani
Effects of transfer learning for handwritten digit classification in a small training sample size situation. AICCC 2022: 123-127 - [c39]Yoshihiro Mitani
An evaluation of classifiers for reading resistor colors. AICCC 2022: 171-174 - 2020
- [c38]Yoshihiro Mitani, Robert B. Fisher, Yusuke Fujita, Yoshihiko Hamamoto, Isao Sakaida:
Effect of an Augmentation on CNNs in Classifying a Cirrhosis Liver on B-Mode Ultrasound Images. LifeTech 2020: 253-254
2010 – 2019
- 2018
- [c37]Tamotsu Kawamura, Masaru Fukushi, Yasushi Hirano, Yusuke Fujita, Yoshihiko Hamamoto:
A Network-Based Event Detection Module Using NTP for Cyber Attacks on IoT. CANDAR Workshops 2018: 86-91 - 2017
- [j14]Shinichi Hashimoto, Hiroyuki Ogihara, Masato Suenaga, Yusuke Fujita, Shuji Terai
An Automated Self-Learning Quantification System to Identify Visible Areas in Capsule Endoscopy Images. J. Medical Syst. 41(8): 119:1-119:9 (2017) - [c36]Yusuke Fujita, Yoshihiro Mitani, Yoshihiko Hamamoto, Makoto Segawa, Shuji Terai
Training sample selection based on self-training for liver cirrhosis classification using ultrasound images. QCAV 2017: 103380J - [c35]Yusuke Fujita, Koji Shimada, Manabu Ichihara, Yoshihiko Hamamoto:
A method based on machine learning using hand-crafted features for crack detection from asphalt pavement surface images. QCAV 2017: 103380I - 2016
- [j13]Hiroyuki Ogihara, Yoshihiko Hamamoto, Yusuke Fujita, Atsushi Goto, Jun Nishikawa
Development of a Gastric Cancer Diagnostic Support System with a Pattern Recognition Method Using a Hyperspectral Camera. J. Sensors 2016: 1803501:1-1803501:6 (2016) - [c34]Yusuke Fujita, Yoshihiro Mitani, Yoshihiko Hamamoto, Makoto Segawa, Shuji Terai
Training ROI Selection Based on MILBoost for Liver Cirrhosis Classification Using Ultrasound Images. IEA/AIE 2016: 451-459 - 2014
- [c33]Masato Suenaga, Yusuke Fujita, Shinichi Hashimoto, Shuji Terai, Isao Sakaida, Yoshihiko Hamamoto:
A Method of Bubble Removal for Computer-Assisted Diagnosis of Capsule Endoscopic Images. IEA/AIE (2) 2014: 228-233 - [c32]Hiroyuki Ogihara, Yusuke Fujita, Norio Iizuka, Masaaki Oka, Yoshihiko Hamamoto:
Comparative Study of Classifiers for Prediction of Recurrence of Liver Cancer Using Binary Patterns. IEA/AIE (2) 2014: 234-239 - 2013
- [c31]Hiroyuki Ogihara, Yusuke Fujita, Yoshihiko Hamamoto, Norio Iizuka, Masaaki Oka:
Classification Based on Boolean Algebra and Its Application to the Prediction of Recurrence of Liver Cancer. ACPR 2013: 838-841 - [c30]K. Fujino, Yoshihiro Mitani, Takaya Hayashi, Yusuke Fujita, Yoshihiko Hamamoto, Makoto Segawa, Shuji Terai
A note of liver cirrhosis classification on M-mode ultrasound images by higher-order local auto-correlation features. SoCPaR 2013: 50-53 - 2012
- [c29]Yoshihiro Mitani, Yusuke Fujita, Naofumi Matsunaga, Yoshihiko Hamamoto:
The Use of a Local Histogram Feature Vector of Classifying Diffuse Lung Opacities in High-Resolution Computed Tomography. IEA/AIE 2012: 343-350 - 2011
- [j12]Yusuke Fujita, Yoshihiko Hamamoto:
A robust automatic crack detection method from noisy concrete surfaces. Mach. Vis. Appl. 22(2): 245-254 (2011) - 2010
- [c28]Yusuke Fujita, Yoshihiko Hamamoto, Makoto Segawa, Shuji Terai
An Improved Method for Cirrhosis Detection Using Liver's Ultrasound Images. ICPR 2010: 2294-2297
2000 – 2009
- 2009
- [c27]Yusuke Fujita, Yoshihiko Hamamoto:
A Robust Method for Automatically Detecting Cracks on Noisy Concrete Surfaces. IEA/AIE 2009: 76-85 - 2008
- [c26]Takanobu Miyamoto, Yusuke Fujita, Shunji Uchimura, Yoshihiko Hamamoto, Norio Iizuka, Masaaki Oka:
Visualization of transitions of developing of hepatitis C virus-associated hepatocellular carcinoma. ICPR 2008: 1-4 - [c25]Yoshihiro Mitani, Yuuki Sugimura, Yoshihiko Hamamoto:
A Method for Reading a Resistor by Image Processing Techniques. KES (1) 2008: 433-439 - 2006
- [j11]Yoshihiro Mitani, Yoshihiko Hamamoto:
A local mean-based nonparametric classifier. Pattern Recognit. Lett. 27(10): 1151-1159 (2006) - [c24]Yusuke Fujita, Yoshihiro Mitani, Yoshihiko Hamamoto:
A Method for Crack Detection on a Concrete Structure. ICPR (3) 2006: 901-904 - 2004
- [c23]Takanobu Miyamoto, Shunji Uchimura, Yoshihiko Hamamoto, Norio Iizuka, Masaaki Oka:
Comparison of Microarray-Based Predictive Systems for Early Recurrence of Cancer. ICPR (2) 2004: 347-350 - [c22]Yoshihiro Mitani, Naofumi Matsunaga, Yoshihiko Hamamoto:
Artificial Images for Classifying Diffuse Lung Opacities in Thin-Section Computed Tomography Images. ICPR (3) 2004: 530-533 - [c21]Yoshihiro Mitani, Yusuke Fujita, Naofumi Matsunaga, Yoshihiko Hamamoto:
A Study on Nonparametric Classifiers for a CAD System of Diffuse Lung Opacities in Thin-Section Computed Tomography Images. KES 2004: 608-613 - 2002
- [c20]Yoshihiro Mitani, H. Yasuda, S. Kido, Kazuhiro Ueda, Naofumi Matsunaga, Yoshihiko Hamamoto:
Combining the Gabor and Histogram Features for Classifying Diffuse Lung Opacities in Thin-Section Computed Tomography. ICPR (1) 2002: 53-56 - 2001
- [j10]Yoshihiko Muto, Yoshihiko Hamamoto:
Improvement of the Parzen classifier in small training sample size situations. Intell. Data Anal. 5(6): 477-490 (2001) - 2000
- [c19]Yoshihiko Muto, Hirokazu Nagase, Yoshihiko Hamamoto:
Evaluation of a Modified Parzen Classifier in High Dimensional Spaces. ICPR 2000: 2067-2070 - [c18]Yoshihiro Mitani, Yoshihiko Hamamoto:
Classifier Design Based on the Use of Nearest Neighbor Samples. ICPR 2000: 2769-2772 - [c17]Takashi Miyamoto, Yoshihiko Hamamoto, Yoshihiro Mitani:
Use of Bootstrap Samples in Quadratic Classifier Design. ICPR 2000: 2789-2792 - [c16]Yoshihiro Mitani, H. Hirayama, H. Yasuda, S. Kido, Yoshihiko Hamamoto, Kazuhiro Ueda, Naofumi Matsunaga:
A Gabor filter-based classification for diffuse lung opacities in thin-section computed tomography images. KES 2000: 780-783
1990 – 1999
- 1998
- [j9]Yoshihiko Hamamoto, Shunji Uchimura, Masanori Watanabe, Tetsuya Yasuda, Yoshihiro Mitani, Shingo Tomita:
A gabor filter-based method for recognizing handwritten numerals. Pattern Recognit. 31(4): 395-400 (1998) - [c15]Yoshihiro Mitani, Yoshihiko Hamamoto:
A Bootstrap-Based Learning with the Cross Validation. ICONIP 1998: 55-58 - [c14]Shunji Uchimura, Kiyoshi Mizuno, Yoshihiko Hamamoto, Shingo Tomita:
Analysis of Gabor Parameters for Handwritten Numeral Recognition by Experimental Design. SSPR/SPR 1998: 968-974 - 1997
- [j8]Yoshihiko Hamamoto, Shunji Uchimura, Shingo Tomita:
A Bootstrap Technique for Nearest Neighbor Classifier Design. IEEE Trans. Pattern Anal. Mach. Intell. 19(1): 73-79 (1997) - [c13]Masanori Watanabe, Yoshihiko Hamamoto, Tetsuya Yasuda, Shingo Tomita:
Normalization Techniques of Handwritten Numerals for Gabor Filters. ICDAR 1997: 303- - 1996
- [j7]Yoshihiko Hamamoto, Shunji Uchimura, Shingo Tomita:
On the Behavior of Artificial Neural Network Classifiers in High-Dimensional Spaces. IEEE Trans. Pattern Anal. Mach. Intell. 18(5): 571-574 (1996) - [j6]Yoshihiko Hamamoto, Yasushi Fujimoto, Shingo Tomita:
On the estimation of a covariance matrix in designing Parzen classifiers. Pattern Recognit. 29(10): 1751-1759 (1996) - [c12]Yoshihiko Hamamoto, Yoshihiro Mitani, H. Ishihara, Toshinori Hase, Shingo Tomita:
Evaluation of an anti-regularization technique in neural networks. ICPR 1996: 205-208 - [c11]Yoshihiko Hamamoto, Shunji Uchimura, Masanori Watanabe, Tetsuya Yasuda, Shingo Tomita:
Recognition of handwritten numerals using Gabor features. ICPR 1996: 250-253 - [c10]Yoshihiko Hamamoto, Y. Tsuneta, C. Kaneyama, Shingo Tomita:
Selection of Representatives Using Genetic Algorithms. IEA/AIE 1996: 247-252 - [c9]Yoshihiko Hamamoto, Toshinori Hase, Yoshihiro Mitani, Shingo Tomita:
A Note on the Generalization Error in Neural Networks. IEA/AIE 1996: 559-562 - [c8]Yoshihiro Mitani, Yoshihiko Hamamoto, Shingo Tomita:
Evaluation of the Noise Injection in High Dimensions. MVA 1996: 107-110 - 1995
- [c7]Yoshihiko Hamamoto, Shunji Uchimura, K. Masamizu, Shingo Tomita:
Recognition of handprinted Chinese characters using Gabor features. ICDAR 1995: 819-823 - [c6]Shunji Uchimura, Yoshihiko Hamamoto, Shingo Tomita:
On the effect of the nonlinearity of the sigmoid function in artificial neural network classifiers. ICNN 1995: 281-284 - [c5]Yoshihiro Mitani, Yoshihiko Hamamoto, Shingo Tomita:
Use of bootstrap samples in designing artificial neural network classifiers. ICNN 1995: 2103-2106 - [c4]Shunji Uchimura, Yoshihiko Hamamoto, Shingo Tomita:
Effects of the sample size in artificial neural network classifier design. ICNN 1995: 2126-2129 - 1994
- [j5]Kazukuni Kobara, Taiho Kanaoka, Yoshihiko Hamamoto, Shingo Tomita, Koukichi Munechika:
Use of Gradated Patterns in An Associative Neural Memory for Invariant Pattern Recognition. Int. J. Pattern Recognit. Artif. Intell. 8(2): 595-607 (1994) - 1993
- [j4]Yoshihiko Hamamoto, Taiho Kanaoka, Shingo Tomita:
On a theoretical comparison between the orthonormal discriminant vector method and discriminant analysis. Pattern Recognit. 26(12): 1863-1867 (1993) - 1992
- [j3]Kiyohiro Kobayashi, Tsuguyasu Imamura, Masashi Takahashi, Fumiko Kubota, Taiho Kanaoka, Yoshihiko Hamamoto, Shingo Tomita:
A searching method of the most similar string in the file of a document retrieval system. Syst. Comput. Jpn. 23(2): 24-38 (1992) - [c3]Kazukuni Kobara, Taiho Kanaoka, Koukichi Munechika, Yoshihiko Hamamoto, Shingo Tomita:
Use of Gradated Patterns in an Associative Neural Memory for Invariant Pattern Recognition. ICPIA 1992: 179-194 - [c2]Yoshihiko Hamamoto, Akihiko Ohama, Taiho Kanaoka, Shingo Tomita:
Orthogonal discriminant analysis based on a modified Fisher criterion [feature extraction]. ICPR (2) 1992: 363-366 - 1991
- [j2]Yoshihiko Hamamoto, Yutaka Matsuura, Taiho Kanaoka, Shingo Tomita:
A note on the orthonormal discriminant vector method for feature extraction. Pattern Recognit. 24(7): 681-684 (1991) - 1990
- [j1]Yoshihiko Hamamoto, Shunji Uchimura, Yutaka Matsuura, Taiho Kanaoka, Shingo Tomita:
Evaluation of the branch and bound algorithm for feature selection. Pattern Recognit. Lett. 11(7): 453-456 (1990) - [c1]Yoshihiko Hamamoto, Taiho Kanaoka, Shingo Tomita:
Orthogonal discriminant analysis for interactive pattern analysis. ICPR (1) 1990: 424-427
Coauthor Index
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