Tomoya Sakai

Profile Information

Affiliation: Nagasaki University

Degree: Dr. Eng.

Researcher number: 30345003
J-GLOBAL ID: 201101081944935580
researchmap Member ID: B000000401

External link: http://www.cis.nagasaki-u.ac.jp/~tsakai/

Research History

Apr, 2020 - Present

School of Information Data Sciences, Nagasaki University
Apr, 2011 - Present

Associate Professor, Graduate School of Engineeriing, Nagasaki University
Oct, 2010 - Mar, 2011

Associate Professor, Faculty of Engineering, Nagasaki University
- Sep, 2010

Assistant Professor, Institute of Media and Information Technology, Chiba University

Research Interests

Research Areas

Professional Memberships

Committee Memberships

Apr, 2023 - Present

専門委員, 電子情報通信学会医用画像研究会 (MI)
Jun, 2022 - Jun, 2026

編集委員, 電子情報通信学会和文論文誌Ｄ編集委員会
Jun, 2022 - Jun, 2024

支部委員, 電子情報通信学会九州支部
Oct, 2013 - Jun, 2017

編集委員, 電子情報通信学会英文論文誌A 編集委員会
Apr, 2011 - Mar, 2017

専門委員, 電子情報通信学会信号処理研究会(SIP)
Apr, 2011 - Mar, 2017

専門委員, 電子情報通信学会パターン認識・メディア理解研究会(PRMU)
Aug, 2011 - Aug, 2012

編集委員, 電子情報通信学会画像の認識・理解特集編集委員会
Apr, 2006 - Mar, 2010

運営委員, 情報処理学会コンピュータビジョンとイメージメディア(CVIM)研究運営委員会

Papers

103

Unsupervised deep learning of foreground objects from low-rank and sparse dataset

Keita Takeda, Tomoya Sakai

Computer Vision and Image Understanding, 240, Mar, 2024 Peer-reviewedInvitedLast author
圧縮センシングの数理

酒井智弥

日本光学会, 52(10) 412-419, Oct, 2023 Lead authorLast authorCorresponding author
微分可能プログラミングで始める機械学習

酒井智弥

精密工学会誌, 89(9) 695-699, Sep, 2023 Lead authorLast authorCorresponding author
An effective salivation-facilitating method for COVID-19 testing: An experimental study.

Misako Higashijima, Hiroyasu Shiozu, Tomoya Sakai, Moemi Matsuo

Medicine, 102(27) e34370, Jul 7, 2023 Peer-reviewed
Background subtraction approach to unsupervised cell segmentation: toward excluding spurious features in degraded cytology slides

Keita Takeda, Eiji Mitate, Tomoya Sakai

IEEE International Symposium on Biomedical Imaging, 1-4, Apr, 2023 Peer-reviewed
Unsupervised deep learning of sparse signals against low-rank backgrounds with application to online lung sound separation

International Journal of Signal Processing Systems, 11(1) 1-6, Mar, 2023 Peer-reviewedCorresponding author
Unsupervised deep learning for online foreground segmentation exploiting low-rank and sparse priors

Keita Takeda, Kohei Fujiwara, Tomoya Sakai

2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 1-7, Nov 30, 2022 Peer-reviewedCorresponding author
Application of the sliding window method and Mask-RCNN method to nuclear recognition in oral cytology.

Eiji Mitate, Kirin Inoue, Retsushi Sato, Youichi Shimomoto, Seigo Ohba, Kinuko Ogata, Tomoya Sakai, Jun Ohno, Ikuo Yamamoto, Izumi Asahina

Diagnostic pathology, 17(1) 62-62, Aug 2, 2022 Peer-reviewed
新しい録音機器と解析技術を用いた肺音解析システムの医師聴診の補助ツールとしての可能性

中島誉也, 尾長谷靖, 深堀範, 福島千鶴, 入来隼, 永江由香, 山口博之, 坂本憲穂, 石松祐二, 山田頼弥 …

長崎医学会雑誌, 97(1) 1-6, Jun, 2022
Unsupervised Deep Learning by Injecting Low-Rank and Sparse Priors.

Tomoya Sakai

CoRR, abs/2106.10923, 2021
Blood Vessel Enhancement in Liver Region from a Sequence of Angiograms Taken under Free Breathing

Morio Kawabe, Yuri Kokura, Takashi Ohnishi, Kazuya Nakano, Hideyuki Kato, Yoshihiko Ooka, Tomoya Sakai, Hideaki Haneishi

Communications in Computer and Information Science, 141-149, 2020 Peer-reviewed
The acoustic characteristics of fine crackles predict honeycombing on high-resolution computed tomography.

Fukumitsu T, Obase Y, Ishimatsu Y, Nakashima S, Ishimoto H, Sakamoto N, Nishitsuji K, Shiwa S, Sakai T, Miyahara S …

BMC pulmonary medicine, 19(1) 153-153, Aug, 2019 Peer-reviewed
Emotion-Cluster Classification of Infant Cries Using Sparse Representation

Takayuki Kurokawa, Tasuku Miura, Masaru Yamashita, Tomoya Sakai, Shoichi Matsunaga

2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings, 1875-1878, Mar 4, 2019
Fast Approximate Karhunen-Loève Transform for Three-Way Array Data

Hayato Itoh, Atsushi Imiya, Tomoya Sakai

Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017, 2018- 1827-1834, Jan 19, 2018 Peer-reviewed
Relaxed Optimisation for Tensor Principal Component Analysis and Applications to Recognition, Compression and Retrieval of Volumetric Shapes

Hayato Itoh, Atsushi Imiya, Tomoya Sakai

Mathematics and Visualization, 165-200, 2018
Distances Between Tensor Subspaces.

Hayato Itoh, Atsushi Imiya, Tomoya Sakai 0002

Applications of Intelligent Systems - Proceedings of the 1st International APPIS Conference 2018(APPIS), 50-59, 2018
Computer-aided lung auscultation based on sparse modeling as key technology for life innovation

Tomoya Sakai, Shunpei Shiwa, Kosei Nishitsuji

IEEJ Transactions on Electronics, Information and Systems, 137(2) 204-207, 2017
Approximation of N-way principal component analysis for organ data

Hayato Itoh, Atsushi Imiya, Tomoya Sakai

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10118 16-31, 2017 Peer-reviewed
The Efficacy of Intervention for the Prevention of Aspiration Pneumonitis in Recipients of Non-oral Nutrition

Misako Higashijima, Aya Tanaka, Joji Higashi, Tomoya Sakai, Hiroyasu Shiozu

International Journal of Physical Medicine & Rehabilitation, 5(6) 442, 2017 Peer-reviewed
Analysis of multilinear subspaces based on geodesic distance

Hayato Itoh, Atsushi Imiya, Tomoya Sakai

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10424 384-396, 2017 Peer-reviewed

Misc.

149

Unsupervised cell segmentation and background removal for debiasing cytological diagnosis

Keita Takeda, Tomoya Sakai, Eiji Mitate, Shunta Matsumoto

Jul, 2023
教師なし学習による低ランク性・スパース性をもつオプティカルフロー場の推定

山口峻矢, 藤原航平, 酒井智弥

画像の認識・理解シンポジウム(MIRU2021) Extended Abstract集, Jul, 2023
Unsupervised cell detection for oral cytology and effects of feature reduction

Shunta Matsumoto, Keita Takeda, Tomoya Sakai, Eiji Mitate

The 5th Conference on Biological Imaging and Medical AI, JSMBE-BIMAI2022-03, Mar, 2023
視覚的に顕著な細胞の表現学習に基づく口腔細胞診

松尾和季, 見立英史, 酒井智弥

電子情報通信学会技術研究報告, 122(334) 7-12, Jan, 2023 Corresponding author
細胞を注視する口腔細胞診画像分類

武田啓太, 藤原航平, 松尾和季, 見立英史, 酒井智弥

第41回日本医用画像工学会大会, 41回 214-215, Jul, 2022
Unsupervised deep learning for foreground segmentation based on low-rank and sparse priors

Keita Takeda, Kohei Fujiwara, Tomoya Sakai

Jul, 2022
Machine learning-based prediction of treatment efficacy in patients with Sjogren's syndrome using ultrasound images of salivary grands

Kohei Fujiwara, Yukinori Takagi, Tomoya Sakai, Miho Sasaki, Sato Eida, Ikuo Katayama, Misa Sumi

The 13th Congress of Oral and Maxillo-Facial Radiology, 120, Jun, 2022
Exploiting perfusion MR features for salivary gland tumor classification

Keita Takeda, Tomoya Sakai, Ikuo Katayama, Yukinori Takagi, Miho Sasaki, Sato Eida, Misa Sumi

The 13th Congress of Oral and Maxillo-Facial Radiology, 97, Jun, 2022
数理モデリングと深層学習の融合技術～帰納バイアスを生かす3つの戦略～

酒井智弥

電子情報通信学会技術研究報告, 122(31) 49-54, May, 2022 Lead author
Unsupervised deep learning of cell segmentation for oral cytology

Keita Takeda, Kohei Fujiwara, Tomoya Sakai, Eiji Mitate

The 4th Conference on Biological Imaging and Medical AI, JSMBE-BIMAI2021-09, Mar, 2022
Modified U-Net for lymph node detection and metastasis classification from Cervical CT Images

Shunya Take, Keita Takeda, Tomoya Sakai, Eiji Mitate

The 4th Conference on Biological Imaging and Medical AI, JSMBE-BIMAI2021-06, Mar, 2022
Prediction of therapeutic response in Sjogren's syndrome using ultrasound images of salivary glands

Kohei Fujiwara, Yukinori Takagi, Miho Sasaki, Sato Eida, Ikuo Katayama, Misa Sumi, Tomoya Sakai

The 4th Conference on Biological Imaging and Medical AI, JSMBE-BIMAI2021-04, Mar, 2022
Exploiting Perfusion MR Features for Salivary Gland Tumor Classification

武田啓太, 角美佐, 酒井智弥

電子情報通信学会技術研究報告(Web), 121(347(MI2021 42-89)), 2022 Corresponding author
教師なし深層学習可能なロバスト主成分分析による連続性ラ音の分離

尾道拓海, 酒井智弥

第36回信号処理シンポジウム, 108-113, Nov, 2021 Corresponding author
ダイナミック造影MR画像による唾液腺腫瘍識別～画像の左右対称性を利用した特徴抽出～

武田啓太, 酒井智弥, 角美佐

画像の認識・理解シンポジウム(MIRU2021) Extended Abstract集, Jul, 2021 Corresponding author
視覚的顕著性を利用した注視による口腔細胞診

松尾和季, 酒井智弥, 見立英史

画像の認識・理解シンポジウム(MIRU2021) Extended Abstract集, Jul, 2021 Corresponding author
Deep leaning-based low-cost oral cytology

Matthieu Moreau, Ami Mie, Tomoya Sakai, Eji Mitate, David Rousseau

International Symposium on Biomedical Imaging, Apr, 2021 Corresponding author
Unsupervised deep learning for blood vessel enhancement from free-breathing angiography

Ryoji Ishibashi, Tomoya Sakai, Takashi Ohnishi, Hideali Haneishi

The 3rd Conference on Biological Imaging and Medical AI, JSMBE-BIMAI2020-16, Mar, 2021 Corresponding author
低ランク性・スパース性に基づく教師なし深層学習による血管造影

石橋諒士, 酒井智弥, 羽石秀昭

電子情報通信学会技術研究報告(Web), 121(98(MI2021 9-20)), 2021 Corresponding author
Deep learning-based detection of cervical lymph nodes in CT images along with identification of metastases

武田啓太, 松成孝泰, 高田寛之, 見立英史, 大場誠悟, 緒方絹子, 楢原峻, 酒井智弥, 朝比奈泉

日本口腔腫瘍学会総会・学術大会プログラム・抄録集, 39th, 2021

Presentations

132

クラウド AI 肺聴診支援システムの開発

藤原航平, 若杉勇弥, 尾道拓海, 尾長谷靖, 酒井智弥

第62回日本生体医工学会大会, May 20, 2023
疑似肺音を用いた断続性ラ音特徴量の妥当性の評価

若杉勇弥, 尾長谷靖, 酒井智弥

第62回日本生体医工学会大会, May 18, 2023
Background subtraction approach to unsupervised cell segmentation: toward excluding spurious features in degraded cytology slides

Keita Takeda, Eiji Mitate, Tomoya Sakai

IEEE International Symposium on Biomedical Imaging, Apr, 2023
Unsupervised deep learning for online foreground segmentation exploiting low-rank and sparse priors

Keita Takeda, Kohei Fujiwara, Tomoya Sakai

2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Nov 30, 2022, IEEE
Unsupervised deep learning for foreground segmentation based on low-rank and sparse priors

Keita Takeda, Kohei Fujiwara, Tomoya Sakai

Jul, 2022
細胞を注視する口腔細胞診画像分類

武田啓太, 藤原航平, 松尾和季, 見立英史, 酒井智弥

第41回日本医用画像工学会大会, Jul, 2022
Exploiting perfusion MR features for salivary gland tumor classification

Keita Takeda, Tomoya Sakai, Ikuo Katayama, Yukinori Takagi, Miho Sasaki, Sato Eida, Misa Sumi

The 13th Congress of Oral and Maxillo-Facial Radiology, Jun, 2022
Machine learning-based prediction of treatment efficacy in patients with Sjogren's syndrome using ultrasound images of salivary grands

Kohei Fujiwara, Yukinori Takagi, Tomoya Sakai, Miho Sasaki, Sato Eida, Ikuo Katayama, Misa Sumi

The 13th Congress of Oral and Maxillo-Facial Radiology, Jun, 2022
数理モデリングと深層学習の融合技術～帰納バイアスを生かす3つの戦略～

酒井智弥

電子情報通信学会技術研究報告, May, 2022
Prediction of therapeutic response in Sjogren's syndrome using ultrasound images of salivary glands

Kohei Fujiwara, Yukinori Takagi, Miho Sasaki, Sato Eida, Ikuo Katayama, Misa Sumi, Tomoya Sakai

The 4th Conference on Biological Imaging and Medical AI, Mar, 2022
Modified U-Net for lymph node detection and metastasis classification from Cervical CT Images

Shunya Take, Keita Takeda, Tomoya Sakai, Eiji Mitate

The 4th Conference on Biological Imaging and Medical AI, Mar, 2022
Unsupervised deep learning of cell segmentation for oral cytology

Keita Takeda, Kohei Fujiwara, Tomoya Sakai, Eiji Mitate

The 4th Conference on Biological Imaging and Medical AI, Mar, 2022
Exploiting Perfusion MR Features for Salivary Gland Tumor Classification

武田啓太, 角美佐, 酒井智弥

電子情報通信学会技術研究報告(Web), 2022
教師なし深層学習可能なロバスト主成分分析による連続性ラ音の分離

尾道拓海, 酒井智弥

第36回信号処理シンポジウム, Nov, 2021
Evidenceに基づく食べる支援の追究

林浩之, 酒井智弥, 東嶋美佐子

第1回食と生活リハビリテーション研究学会学術集会, Nov, 2021
地域高齢者の嚥下問題を早期に見つけるための検査法の紹介

林浩之, 酒井智弥, 東嶋美佐子

第1回食と生活リハビリテーション研究学会学術集会, Nov, 2021
視覚的顕著性を利用した注視による口腔細胞診

松尾和季, 酒井智弥, 見立英史

画像の認識・理解シンポジウム(MIRU2021) Extended Abstract集, Jul, 2021
ダイナミック造影MR画像による唾液腺腫瘍識別～画像の左右対称性を利用した特徴抽出～

武田啓太, 酒井智弥, 角美佐

画像の認識・理解シンポジウム(MIRU2021) Extended Abstract集, Jul, 2021
Deep leaning-based low-cost oral cytology

Matthieu Moreau, Ami Mie, Tomoya Sakai, Eji Mitate, David Rousseau

International Symposium on Biomedical Imaging, Apr, 2021
Unsupervised deep learning for blood vessel enhancement from free-breathing angiography

Ryoji Ishibashi, Tomoya Sakai, Takashi Ohnishi, Hideali Haneishi

The 3rd Conference on Biological Imaging and Medical AI, Mar, 2021

Books and Other Publications

統計的学習の基礎 ―データマイニング・推論・予測―

杉山将, 井手剛, 神嶌敏弘, 栗田多喜夫, 前田英作, 井尻善久, 岩田具治, 金森敬文, 兼村厚範, 烏山昌幸, 河原吉伸, 木村昭悟, 小西嘉典, 酒井智弥, 鈴木大慈, 竹内一郎, 玉木徹, 出口大輔, 冨岡亮太, 波部斉, 前田新一, 持橋大地, 山田誠 (Role: Joint translator) (Original Author(s): Trevor Hastie, Robert Tibshirani, Jerome Friedman)

共立出版, Jun 25, 2014 (ISBN: 432012362X)
新しい大学情報リテラシー

オーム社, Apr, 2006 (ISBN: 4274202240)

Major Teaching Experience

Research Projects

MRIと深層学習を用いた口腔癌リンパ節転移予測法の確立

科学研究費助成事業, 基盤研究(C), 日本学術振興会, Apr, 2022 - Mar, 2025

角美佐, 酒井智弥, 藤田修一, 筑井徹, 大鶴光信, 高木幸則, 片山郁夫, 佐々木美穂, 榮田智, 見立英史
Transfer learning from mathematical models and its applications in biomedical engineering

Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B), Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, Apr, 2019 - Mar, 2023
圧縮センシングに基づく超高次元非線形写像の機械学習に関する研究

科学研究費補助金(新学術領域研究(研究領域提案型)), 新学術領域研究(研究領域提案型), 文部科学省, 2014 - 2015

酒井智弥
Pattern recognition as combinatorial optimization: basic and applied research

Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (C), Japan Society for the Promotion of Science, 2013 - 2015

SAKAI Tomoya, KIYASU Senya, MIYAHARA Sueharu
Research on designing efficient, robust and ciphered patternrecognition schemes using compressed sensing techniques

Grants-in-Aid for Scientific Research, Grant-in-Aid for Young Scientists (B), Japan Society for the Promotion of Science, Apr, 2010 - Mar, 2013

SAKAI Tomoya

Industrial Property Rights

WO2015-060375 生体音信号処理装置、生体音信号処理方法および生体音信号処理プログラム

酒井智弥, 善安千弥, 宮原末治

Profile Information

Research History

Research Interests

Research Areas

Professional Memberships

Committee Memberships

Papers

Misc.

Presentations

Books and Other Publications

Major Teaching Experience

Research Projects

Industrial Property Rights

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