Hiroyasu Usami

Profile Information

Affiliation: Assistant Professor, College of Engineering, Chubu University
: Aichi Medical University
: National Institute for Fusion Science

Degree: 博士（工学）(中部大学大学院)

J-GLOBAL ID: 201401028943378894
researchmap Member ID: B000242710

External link: https://www.cvl.cs.chubu.ac.jp/~usami/

Research Interests

Research Areas

Committee Memberships

Mar, 2020 - Present

Reviewer, International Conference on Medical Image Computing & Computer Assisted Intervention
2016 - Present

Patterns Technical Program Committee, IARIA

Awards

2019

Best Poster Award, Polyp Shape Recovery Using Vascular Border from Single Colonoscopy Image, BIOIMAGING 2019

Hiroyasu Usami
2018

電気学会B賞, U-Netによる内視鏡NBIからの血管検出手法, 電気学会

宇佐美裕康
2018

学長賞, 第8回中部大学ESD研究・活動発表 "KAKEHASHI for ESD", 中部大学

宇佐美裕康
2017

Best Paper Award, Defect Detection and Classiﬁcation of Electronic Circuit Boards Using CNN Features and Keypoint Extraction, PATTERNS 2017

Hiroyasu Usami
2016

優秀論文賞, Watershed法を用いた内視鏡画像からのポリープ領域の自動検出, WiNF

宇佐美裕康
2012

学芸奨励生, 大幸財団

宇佐美裕康

Papers

Automatic Generation of Polyp Image using Depth Map for Endoscope Dataset

Haruki Yamane, Shinji Fukui, Yuji Iwahori, Hiroyasu Usami, M. K. Bhuyan, Naotaka Ogasawara, Kunio Kasugai

KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS (KSE 2021), 192 2355-2364, 2021
Automatic Generation of Polyp Image using Depth Map for Endoscope Dataset.

Haruki Yamane, Shinji Fukui 0001, Yuji Iwahori, Hiroyasu Usami, Manas Kamal Bhuyan, Naotaka Ogasawara, Kunio Kasugai

Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021(KES), 2355-2364, 2021
Mediastinal Lymph Node Detection using Deep Learning

Jayant P. Singh, Yuji Iwahori, M. K. Bhuyan, Hiroyasu Usami, Taihei Oshiro, Yasuhiro Shimizu

ICPRAM: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION APPLICATIONS AND METHODS, 159-166, 2020
Blood Vessel Structure Analysis in Endoscopic Images for Computer-Aided Diagnosis.

Shunsuke Kato 0002, Hiroyasu Usami, Yuji Iwahori, Akihiko Okazaki, Boonserm Kijsirikul, Naotaka Ogasawara, Kunio Kasugai

9th International Congress on Advanced Applied Informatics(IIAI-AAI), 493-498, 2020
Detection of Lymph Nodes using CNN from Contrast-Enhanced CT Images.

Tatsuki Ono, Yuji Iwahori, Hiroyasu Usami, Boonserm Kijsirikul, Manas Kamal Bhuyan, Taihei Oshiro, Yasuhiro Shimizu

9th International Congress on Advanced Applied Informatics(IIAI-AAI), 471-474, 2020
Pore Detection from Human Skin Image using U-Net.

Keisuke Kachi, Yuji Iwahori, Hiroyasu Usami, Shinji Fukui 0001, Aili Wang 0001, Manas Kamal Bhuyan

9th International Congress on Advanced Applied Informatics(IIAI-AAI), 463-466, 2020
Mediastinal Lymph Node Detection using Deep Learning.

Jayant P. Singh, Yuji Iwahori, Manas Kamal Bhuyan, Hiroyasu Usami, Taihei Oshiro, Yasuhiro Shimizu

Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods(ICPRAM), 159-166, 2020
Colorectal Polyp Classification Based On Latent Sharing Features Domain from Multiple Endoscopy Images

Hiroyasu Usami, Yuji Iwahori, Masahide Ebi, Satoshi Inoue, Naotaka Ogasawara, Kunio Kasugai, Yoshinori Adachi

Procedia Computer Science, 176 2507-2514, 2020 Peer-reviewedLead author
Graph Matching Approach between Endoscope Images for Non-Rigid Motion using Blood Vessel Structure

Shun Emoto, Yuji Iwahori, Kenji Funahashi, Hiroyasu Usami, Naotaka Ogasawara, Kunio Kasugai

Procedia Computer Science, 176 1754-1762, 2020 Peer-reviewed
Shape Recovery of Polyp Using Blood Vessel Detection and Matching Estimation by U-Net.

Hibiki Toda, Yuji Iwahori, Hiroyasu Usami, Boonserm Kijsirikul, Manas Kamal Bhuyan, Naotaka Ogasawara, Kunio Kasugai

8th International Congress on Advanced Applied Informatics(IIAI-AAI), 450-453, 2019
Polyp Shape Recovery from Single Endoscope Image Using Medical Suture

Hiroyasu Usami, Yuji Iwahori, Aili Wang, M. K. Bhuyan, Naotaka Ogasawara, Kunio Kasugai

The Open Bioinformatics Journal, 12 1-17, 2019 Peer-reviewed
Polyp Shape Recovery Using Vascular Border from Single Colonoscopy Image

Hiroyasu Usami, Yuji Iwahori, M. K. Bhuyan, Aili Wang, Naotaka Ogasawara, Kunio Kasugai

BIOIMAGING 2019, 104-111, 2019 Peer-reviewed
Polyp Classification and Clustering from Endoscopic Images Using Competitive and Convolutional Neural Networks

Yuji Iwahori, Avish Kabra, Hiroyasu Usami, M. K. Bhuyan, Naotaka Ogasawara, Kunio Kasugai

ICPRAM 2019, 446-452, 2019 Peer-reviewed
Shape recovery of polyp from endoscope image using blood vessel information

Yuji Iwahori, Tomoya Suda, Kenji Funahashi, Hiroyasu Usami, Aili Wang, M. K. Bhuyan, Kunio Kasugai

Studies in Computational Intelligence, 726 165-184, 2018 Peer-reviewedInvited
Colon Blood Vessel Detection Based on U-net

Hiroyasu Usami, Yuji Iwahori, Naotaka Ogasawara, Kunio Kasugai

PATTERNS 2018, 23-24, 2018 Peer-reviewed
Neural Network based Shape Recovery from SEM Images Using Secondary Electron Image and Reflecting Electron Image

Hiroyasu Usami, Yuji Iwahori, Yoshinori Adachi, Robert J. Woodham, Aili Wang, Boonserm Kijsirikul

Journal of Robotics and Mechanical Engineering Research, 2(1) 1-11, 2017 Peer-reviewed
Recovering Shape from Endoscope Image Using Two Light Sources

Hiroyasu Usami, Yuji Iwahori, Yuki Hanai, Boonserm Kijsirikul, Kunio Kasugai

International Journal of Software Innovation, 5(2) 33-54, 2017 Peer-reviewed
Polyp Shape Recovery Based on Blood Vessel Structure Analysis

Hiroyasu Usami, Yuji Iwahori, Naotaka Ogasawara, Kunio Kasugai, Yoshinori Adachi

Procedia Computer Science, 112 1793-1800, 2017 Peer-reviewed
Cost Reduction of Creating Likelihood Map for Automatic Polyp Detection Using Image Pyramid

Tsubasa Ooto, Hiroyasu Usami, Yuji Iwahori, Wang Aili, Naotaka Ogasawara, Kunio Kasugai

CSII2017, 2017 Peer-reviewed
Automatic Polyp Detection from Endoscope Image using Likelihood Map based on Edge Information

Yuji Iwahori, Hiroaki Hagi, Hiroyasu Usami, Robert J. Woodham, Aili Wang, M. K. Bhuyan, Kunio Kasugai

ICPRAM: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION APPLICATIONS AND METHODS, 402-409, 2017 Peer-reviewed

Misc.

Blood Vessel Structure Analysis Using Simulation Models for Polyp Shape Recovery from Endoscopic Images

加藤俊輔, 宇佐美裕康, 岡崎明彦, 岩堀祐之, 小笠原尚高, 春日井邦夫

電子情報通信学会技術研究報告(Web), 121(358(EST2021 56-93)), 2022
Classification of Endoscope Image using Deep Learning and Shape Recovery of Polyp Based on Blood Vessel

岩堀祐之, 宇佐美裕康, 井上智司, 海老正秀, 小笠原尚高, 春日井邦夫

中部大学総合工学研究所総合工学(Web), 32, 2020
Classification of Polyp Existence using Middle Layer in Style Conversion Network

朝日一憲, 岩堀祐之, 宇佐美裕康, 小笠原尚高, 春日井邦夫

電気・電子・情報関係学会東海支部連合大会講演論文集(CD-ROM), 2020, 2020
Blood Vessel Structure Analysis in Endoscopic Images for Computer-Aided Diagnosis

加藤俊輔, 宇佐美裕康, 岩堀祐之, 岡崎明彦, 小笠原尚高, 春日井邦夫

電気・電子・情報関係学会東海支部連合大会講演論文集(CD-ROM), 2020, 2020
Walkability推定のための人物の検出および追跡

杉浦康氏, 宇佐美裕康, 岩堀祐之, 福井真二

電気・電子・情報関係学会東海支部連合大会講演論文集(CD-ROM), 2019, 2019
交通渋滞緩和のための車両検知と追跡

田中佑樹, 宇佐美裕康, 岩堀祐之, 福井真二

電気・電子・情報関係学会東海支部連合大会講演論文集(CD-ROM), 2019, 2019
PATTERNS 2018: the Tenth International Conferences on Pervasive Patterns and Applications, February 18-22, 2018, Barcelona, Spain.

Mannaert, Herwig, Christian Kohls, Yuji Iwahori, Hiroyasu Usami, Peter De Bruyn

Bulletin of Patterns2018, 2018
Classification and Size/Shape Recovery of Endoscope Images for Medical Diagnosis Support

Yuji Iwahori, Hiroyasu Usami, Tsubasa Ooto, Masataka Murata, Naotaka Ogasawara, Kunio Kasugai

Bulletins of Institute of Science and Technology Research, Chubu University, 30, 2018
Polyp Size and Shape Recovery from Single Endoscope Image Using Boundary Between Vessel and Intestinal Wall

Hiroyasu Usami, Yuji Iwahori, Satoshi Inoue, Naotaka Ogasawara, Kunio Kasugai

WiNF2018, C5, 2018
Polyp Classification Using CNN Features from Three Kinds of Endoscope Images

Masataka Murata, Yuji Iwahori, Hiroyasu Usami, Naotaka Ogasawara, Kunio Kasugai

IEICE Technical Report, 118(150) 25-32, 2018
Proposal of Endoscope Diagnosis Support System Using Object Detection Method and Image Conversion

Tsubasa Ooto, Hiroyasu Usami, Yuji Iwahori, Naotaka Ogasawara, Kunio Kasugai

WiNF2018, P135, 2018
Automatic LST Tumor Detection Using U-Net

Shota Miyazaki, Tsubasa Ooto, Hiroyasu Usami, Yuji Iwahori, Boonserm Kijsirikul, Kunio Kasugai

WiNF2018, P134, 2018
Blood Vessel Detection Method from Endoscope NBI Using U-Net

Hiroyasu Usami, Hibiki Toda, Yuji Iwahori, Kunio Kasugai

Medical Image Processing, Tokai Section Joint Conference on Electrical, Electronics, Information, and Related Engineering, 2018, 2018 I1-4, 2018
Automatic polyp detection using VGG16 transfer learning model

Tsubasa Ooto, Hiroyasu Usami, Yuji Iwahori, Kunio Kasugai

Proceedings of 2018 IEICE General Conference, 2018 D-16-3, 2018
ポリープの形状復元のための構造解析による血管領域検出

宮崎將太, 宇佐美裕康, 岩堀祐之, 小笠原尚高, 春日井邦夫

電気・電子・情報関係学会東海支部連合大会講演論文集(CD-ROM), 2017 ROMBUNNO.F5‐3, Aug 28, 2017
Polyp Size and Shape Recovery from Single Endoscopic Image Using Medical Suture

Hiroyasu Usami, Yuji Iwahori, Naotaka Ogasawara, Kunio Kasugai

MIRU2017, PS1-67, 2017
Automatic Polyp Detection from Endoscopic Images Using CNN

Tsubasa Ooto, Hiroyasu Usami, Yuji Iwahori, Kunio Kasugai, Naotaka Ogasawara

WiNF2017, PD-33, 2017
KAKEHASHI for ESD

Hiroyasu Usami, Shoki Kobayashi, Hiroki Ueda

The 8th Chubu University ESD Research Activity Report, 2017
Watershed法を用いた内視鏡画像からのポリープ領域の自動検出

Hiroyasu Usami, Tsubasa Ooto, Yuji Iwahori, Kunio Kasugai

WiNF2016, B-22X, 2016
Automatic Detection of Polyp Using Likelihood Map by Image Pyramid

Tsubasa Ooto, Hiroyasu Usami, Yuji Iwahori, Kunio Kasugai

D4-5, Medical Image Processing, Tokai Section Joint Conference on Electrical, Electronics, Information, and Related Engineering, 2016, 2016 D4-5, 2016

Professional Memberships

Research Projects

Polyp 3D Shape Information Acquisition from Endoscopic Images for Computer-Aided Diagnosis

Grants-in-Aid for Scientific Research Grant-in-Aid for Research Activity Start-up, Japan Society for the Promotion of Science, Aug, 2019 - Mar, 2021

Profile Information

Research Interests

Research Areas

Committee Memberships

Awards

Papers

Misc.

Professional Memberships

Research Projects

Menu

Coauthors