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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, MBE | 2015-03-16 10:55 |
Tokyo | Tamagawa University | Feature Analysis for Diffuse Lung Disease with Deep Convolutional Neural Network Satoshi Suzuki, Hayaru Shouno (UEC), Shoji Kido (Yamaguchi Univ.)  MBE2014-163 NC2014-114 |
The computer aided diagnosis (CAD) system is desired to develop for supporing physicians to diagnose the diffuse lung di... [more] | MBE2014-163 NC2014-114 pp.259-264 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2014-06-26 15:50 |
Okinawa | Okinawa Institute of Science and Technology | Pattern Recognition using feature extractor of K-SVD Hiroki Sugita (UEC), Hiroaki Sasaki (Tokyo Inst. of Tech.), Hayaru Shouno (UEC) NC2014-7 IBISML2014-7 |
Feature extraction and classification are fundamental two steps in pattern recognition systems. Since feature extraction... [more] | NC2014-7 IBISML2014-7 pp.101-106 |
| NC, MBE (Joint) |
2012-12-12 15:40 |
Aichi | Toyohashi University of Technology | Distribution estimation of hyperparameters in Markov random field model Yoshinori Ohno, Kenji Nagata (Univ. Tokyo), Hayaru Shouno (UEC), Masato Okada (Univ. Tokyo/RIKEN) NC2012-86 |
Recent advances in measurement techniques allow us to obtain a large quantity of imaging data in various natural science... [more] | NC2012-86 pp.55-60 |
| MI | 2012-10-29 10:45 |
Yamaguchi | Yamaguchi Univ. | Classification of Idiopathic Interstitial Pneumonias using Transductive Support Vector Machine Yuri Hayakawa, Hayaru Shouno (UEC), Shoji Kido (Yamaguchi Univ.) MI2012-53 |
In order to reduce the burden of doctor, computer aided diagnosis system, which aims to help doctor for diagnosis, is d... [more] |
MI2012-53 pp.35-40 |
| MI | 2012-07-20 09:20 |
Yamagata | Yamagata Univ. | Classification of Idiopathic Interstitial Pneumonias using Semi-Supervised Learning Masayoshi Wada, Hayaru Shouno (UEC), Shoji Kido (Yamaguchi Univ.) MI2012-29 |
Computer aided diagnosis system, which aim to help doctor for diagnosis, is desired to develop. In the system, classifi... [more] |
MI2012-29 pp.41-46 |
| MBE, NC (Joint) |
2012-03-14 13:45 |
Tokyo | Tamagawa University | An Implementation of MT Area using Hierarchical Model Sayuri Nara, Hayaru Shouno (UEC) NC2011-129 |
We aimed to implement the function of MT neuron, which responds to a specific movement direction and speed, in a compute... [more] | NC2011-129 pp.45-50 |
| PRMU, FM | 2011-12-16 09:30 |
Shizuoka | Hamamatsu Campus, Shizuoka Univ. | A hierarchical extension of the HOG model implemented in the convolution-net for human detection Yasuto Arakaki, Hayaru Shouno (UEC) PRMU2011-132 |
In the fi eld of the image recognition, HOG model, which is a feature extractor based on the local gradient information ... [more] | PRMU2011-132 pp.41-46 |
| MBE, NC (Joint) |
2011-11-24 16:10 |
Miyagi | ECEI Departments, Graduate School of Engineering, Tohoku University | An image restoration method for Poisson observation using a latent variational approximation Hayaru Shouno (UEC), Ken Takiyama, Masato Okada (The Univ. of Tokyo) NC2011-73 |
In this study, we treat an image restoration problem throughout a Poisson noise channel observation. The Poisson noise c... [more] | NC2011-73 pp.11-16 |
| MBE, NC (Joint) |
2011-11-24 16:35 |
Miyagi | ECEI Departments, Graduate School of Engineering, Tohoku University | A deterministic algorithm for hyperparameter estimation in nonlinear Markov random field model Yoshinori Ohno, Kenji Nagata (Univ. Tokyo), Hayaru Shouno (U.E.C.), Masato Okada (Univ. Tokyo/RIKEN) NC2011-74 |
Image restoration widely used in natural science is often formulated by Markov random field (MRF) model. In MRF model, t... [more] | NC2011-74 pp.17-22 |
| PRMU, MI, IE | 2011-05-19 16:00 |
Aichi | Bayesian Reconstruction for Computed Tomography using 3 Dimensional Markov Random Field Madomi Yamasaki, Shouhei Kawato, Hayaru Shouno (U.E.C.), Masato Okada (Tokyo Univ.) IE2011-17 PRMU2011-9 MI2011-9 |
(To be available after the conference date) [more] | IE2011-17 PRMU2011-9 MI2011-9 pp.45-50 |
|
| NC, MBE (Joint) |
2011-03-07 17:15 |
Tokyo | Tamagawa University | Improvement of infant's action recognition accuracy by Bayesian estimation method introducing Bayesian Network
-- Experimental evaluation with supersonic sensor and camera images -- Shozo Ishikawa (UEC), Yoichi Motomura, Yoshifumi Nishida (AIST), Hayaru Shouno (UEC) NC2010-150 |
The purpose of this study is to prevent accident in infants. Therefore, we consider analysis the action of the behavior... [more] |
NC2010-150 pp.137-142 |
| NC, MBE (Joint) |
2011-03-09 15:00 |
Tokyo | Tamagawa University | An Improvement of Convolutional net by using of SIFT algorithm Yasuto Arakaki, Hayaru Shouno (UEC) NC2010-200 |
Image recognition technology has been used in various fields. However, The recognition of the nonconstant image such as... [more] |
NC2010-200 pp.427-432 |
| NC, MBE (Joint) |
2010-03-11 16:00 |
Tokyo | Tamagawa University | Neocognitron Trained by a New Competitive Learning Kunihiko Fukushima, Isao Hayashi (Kansai Univ.), Hayaru Shouno (Univ. of Electro-Comm.), Masayuki Kikuchi, Yuki Makino (Tokyo Univ. of Tech.) NC2009-155 |
The "neocognitron" is a hierarchical multilayered neural network capable of robust visual pattern recognition. It acqui... [more] | NC2009-155 pp.397-402 |
| NC, MBE (Joint) |
2010-03-11 16:25 |
Tokyo | Tamagawa University | Edge Extraction for the Neocognitron Yuki Makino, Masayuki Kikuchi (Tokyo Univ. of Technology), Kunihiko Fukushima, Isao Hayashi (Kansai Univ.), Hayaru Shouno (Univ. of Electro-Communications) NC2009-156 |
Neural network model neocognitron has an ability of robust visual pattern recognition. Feature-extracting cells, called ... [more] | NC2009-156 pp.403-406 |
| MI | 2010-01-28 10:25 |
Okinawa | Naha-Bunka-Tenbusu | Image Reconstruction for Radon Transform using Bayes Inference Hayaru Shouno (Univ. of Elector-Comm.), Masato Okada (Univ. of Tokyo) MI2009-78 |
We propose an image reconstruction algorithm using Bayesian inference for the Radon transformed observation data, which ... [more] | MI2009-78 pp.19-24 |
| MI | 2008-01-25 10:00 |
Okinawa | Naha-Bunka-Tenbusu | Investigation of a method for measurement airway wall with 3D-thoracic CT images Satoshi Miyamoto, Hayaru Shouno, Shoji Kido (Yamaguchi Univ) MI2007-63 |
Evaluating airway wall is an important factor for diagnosis of COPD(Chronic Obstructive Pulumonary Disease) by use of C... [more] |
MI2007-63 pp.1-6 |
| MI | 2008-01-25 13:00 |
Okinawa | Naha-Bunka-Tenbusu | Extraction of Pleural Effusion Regions from 3-D Thoracic CT Images Akinori Tsunomori, Hayaru Shouno, Shoji Kido (Yamaguchi Univ.) MI2007-73 |
Computed tomography(CT) is used to diagnose pleural effusion.It is an effective method for follow-up to measure accumula... [more] | MI2007-73 pp.57-62 |
| MI | 2007-01-27 08:45 |
Overseas | the Cheju National Univ. | Detection algorithm of small hepatic tumors by use of multi-phase multi-detector row CT images Hiroyasu Miyazaki, Hayaru Shouno, Shoji Kido (Yamaguchi Univ) |
For the recent tequnical advance of multidetector-row computed tomography (MDCT), which enables toscan a human body quic... [more] | MI2006-170 pp.49-52 |
| MI | 2006-01-27 13:00 |
Okinawa | Miyakojimashi-Chuo-Kouminkan | Bronchus Extraction from Three Dimensional Chest CT Images for COPD Diagnosis Shinya Tamechika, Hidenori Shikata, Hayaru Shouno, Shoji Kido (Yamaguchi Univ.) |
[more] | MI2005-76 pp.41-44 |
| MI | 2005-01-22 17:10 |
Okinawa | Univ. of the Ryukus | Research on a classification of the medical data using the self-organization map Yoshiharu Goto, Hayaru Shouno, Shoji Kido (Yamagudhi Univ) |
[more] | MI2004-109 pp.157-161 |
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