SEKI Hiroto

セキヒロト | SEKI Hiroto

Affiliation and department：
Job title： Assistant Professor

Research field (2)： Intelligent informatics , Perceptual information processing

Research keywords (5)： machine learning , artificial intelligence , computer vision , explainable AI , image processing

Research theme for competitive and other funds (9)：

2024 - 2027 Frequency-domain-based visual explanation and robustness evaluation for object detection AI
2023 - 2026 A new method to discover patients with obstructive sleep apnea using artificial intelligence and 2D and 3D images in addition to several complications
2024 - 2025 Connecting Language adn Tabular Medical Data for Interpretable Clustering
2023 - 2025 Technical innovation of supine breast MRI generated from prone breast MRI in patients with breast cancer
2023 - 2024 医療ビッグデータを用いたAI による合成医療データの生成および品質評価手法の開発

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Papers (6)：

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MISC (6)：

細野裕行, 関弘翔. 深層学習の医療分野への応用. 日本新生児成育医学会雑誌. 2024. 36. 1. 46-49
Hiroyuki Hosono, Hiroto Seki. What can be done with Bigdata using Deep Learning. The Japanease Journal of Obstetrical, Gynecological & Neonatal Hematology. 2024. 33. 2. 5-8
Hiroaki SATO, Saki MIYANO, Yumi HAYASHI, Hiroto SEKI, Hiroyuki HOSONO. Artificial Intelligence in NICU, Exploring Heart Rate Variability with Machine Learning. The Journal of Reliability Engineering Association of Japan. 2023. 45. 6. 320-325
Hiroyuki Hosono, Hiroto Seki. AIとは-医療分野における活用. 周産期医学. 2022. 52. 7. 933-937
Hiroto Seki, Takashi Izumi, Hiroyuki Hosono. Traffic Image Analysis in Emerging Countries for Safety and Security. The Journal of Reliability Engineering Association of Japan. 2022. 44. 1. 2-7

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Patents (2)：

Lectures and oral presentations (105)：

Generative Model Application to Promote Real-World Data Utilization
(The 38th Annual Meeting of Japanese Society of Computational Statistics 2024)
Latent Space Search in Synthetic Patient Data Generation
(2024)
A Study on Fairness of Face Recognition Using Deep Metric Learning
(2024)
A Study of Efficiency and Robustness Validation in 3DCNN using Speech Labels
(2024)
A Study on Optimization of Artificial Neural Network-Pharmacokinetic model
(2024)

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Education (2)：

Professional career (1)：

Work history (2)：

Committee career (3)：

Awards (3)：

Association Membership(s) (3)：

The Japan Socirty of Clinical Pharmacology and Therapeutics , 画像センシング技術研究会 , 電気学会

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