Automatic generation of optimal standing-up motion using nonlinear receding horizon control. - Kazuma Kobayashi; Kentaro Hirata; Yukinori Nakamura; Kunihisa Okano (SII, 2017)

Optimal Design of Cooperative Standing-Up Motion for Care Worker and Receiver. - Kazuma Kobayashi; Kentaro Hirata; Yukinori Nakamura; Kunihisa Okano (ICM, 2019)

Unsupervised Brain Abnormality Detection Using High Fidelity Image Reconstruction Networks. - Kazuma Kobayashi; Ryuichiro Hataya; Yusuke Kurose; Amina Bolatkan; Mototaka Miyake; Hirokazu Watanabe; Masamichi Takahashi; Naoki Mihara; Jun Itami; Tatsuya Harada; Ryuji Hamamoto (CoRR, 2020)

Decomposing Normal and Abnormal Features of Medical Images for Content-based Image Retrieval. - Kazuma Kobayashi; Ryuichiro Hataya; Yusuke Kurose; Tatsuya Harada; Ryuji Hamamoto (CoRR, 2020)

Decommissioning Robot Retrieves Fuel Debris from High Altitude. - Shota Yamaguchi; Kenji Iseya; Kazuma Kobayashi; Satoshi Mitsui; Toshifumi Satake; Naoki Igo (ICA, 2021)

Analyzing Semantic Changes in Japanese Words Using BERT. - Kazuma Kobayashi; Taichi Aida; Mamoru Komachi (PACLIC, 2021)

Decomposing Normal and Abnormal Features of Medical Images into Discrete Latent Codes for Content-Based Image Retrieval. - Kazuma Kobayashi; Ryuichiro Hataya; Yusuke Kurose; Mototaka Miyake; Masamichi Takahashi; Akiko Nakagawa; Tatsuya Harada; Ryuji Hamamoto (CoRR, 2021)

Decomposing normal and abnormal features of medical images for content-based image retrieval of glioma imaging. - Kazuma Kobayashi; Ryuichiro Hataya; Yusuke Kurose; Mototaka Miyake; Masamichi Takahashi; Akiko Nakagawa; Tatsuya Harada; Ryuji Hamamoto (Medical Image Anal., 2021)

Development of Tomato Harvest Support System Using Mixed Reality Head Mounted Display. - Ryota Goka; Kazuma Ueda; Shota Yamaguchi; Noriyuki Kimura; Kenji Iseya; Kazuma Kobayashi; Toyoaki Tomura; Satoshi Mitsui; Toshifumi Satake; Naoki Igo (LifeTech, 2022)

Application of non-negative matrix factorization in oncology: one approach for establishing precision medicine. - Ryuji Hamamoto; Ken Takasawa; Hidenori Machino; Kazuma Kobayashi; Satoshi Takahashi; Amina Bolatkan; Norio Shinkai; Akira Sakai; Rina Aoyama; Masayoshi Yamada; Ken Asada; Masaaki Komatsu; et al. (Briefings Bioinform., 2022)

Machine Learning and Artificial Intelligence-Driven Multi-Scale Modeling for High Burnup Accident-Tolerant Fuels for Light Water-Based SMR Applications. - Md. Shamim Hassan; Abid Hossain Khan; Richa Verma; Dinesh Kumar; Kazuma Kobayashi; Shoaib Usman; Syed B. Alam (CoRR, 2022)

Leveraging Industry 4.0 - Deep Learning, Surrogate Model and Transfer Learning with Uncertainty Quantification Incorporated into Digital Twin for Nuclear System. - M. Rahman; Abid Khan; Sayeed Anowar; Md. Al Imran; Richa Verma; Dinesh Kumar; Kazuma Kobayashi; Syed B. Alam (CoRR, 2022)

Data-driven multi-scale modeling and robust optimization of composite structure with uncertainty quantification. - Kazuma Kobayashi; Shoaib Usman; Carlos Castano; Ayodeji Alajo; Dinesh Kumar; Syed B. Alam (CoRR, 2022)

Physics-Informed Multi-Stage Deep Learning Framework Development for Digital Twin-Centred State-Based Reactor Power Prediction. - James Daniell; Kazuma Kobayashi; Susmita Naskar; Dinesh Kumar; Souvik Chakraborty; Ayodeji Alajo; Ethan Taber; Joseph Graham; Syed B. Alam (CoRR, 2022)

Robots Climbing Up and Down a Steep Stairs and Robots Retrieving Objects from High Places. - Naoki Igo; Shota Yamaguchi; Noriyuki Kimura; Kazuma Ueda; Kenji Iseya; Kazuma Kobayashi; Toyoaki Tomura; Satoshi Mitsui; Toshifumi Satake (J. Robotics Mechatronics, 2022)

Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering. - Xinyue Hu 002; Lin Gu 003; Qiyuan An; Mengliang Zhang; Liangchen Liu; Kazuma Kobayashi; Tatsuya Harada; Ronald M. Summers; Yingying Zhu 003 (KDD, 2023)

Towards AI-Driven Radiology Education: A Self-supervised Segmentation-Based Framework for High-Precision Medical Image Editing. - Kazuma Kobayashi; Lin Gu 003; Ryuichiro Hataya; Mototaka Miyake; Yasuyuki Takamizawa; Sono Ito; Hirokazu Watanabe; Yukihiro Yoshida; Hiroki Yoshimura; Tatsuya Harada; Ryuji Hamamoto (MICCAI (2), 2023)

Explainable, Interpretable & Trustworthy AI for Intelligent Digital Twin: Case Study on Remaining Useful Life. - Kazuma Kobayashi; Bader Almutairi; Md. Nazmus Sakib; Souvik Chakraborty; Syed B. Alam (CoRR, 2023)

Operator Learning Framework for Digital Twin and Complex Engineering Systems. - Kazuma Kobayashi; James Daniell; Syed B. Alam (CoRR, 2023)

Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning. - Xinyue Hu 002; Lin Gu 003; Kazuma Kobayashi; Qiyuan An; Qingyu Chen 001; Zhiyong Lu; Chang Su 002; Tatsuya Harada; Yingying Zhu 004 (CoRR, 2023)

Sketch-based Medical Image Retrieval. - Kazuma Kobayashi; Lin Gu 003; Ryuichiro Hataya; Takaaki Mizuno; Mototaka Miyake; Hirokazu Watanabe; Masamichi Takahashi; Yasuyuki Takamizawa; Yukihiro Yoshida; Satoshi Nakamura; Nobuji Kouno; Amina Bolatkan; et al. (CoRR, 2023)

Potential of Deep Operator Networks in Digital Twin-enabling Technology for Nuclear System. - Kazuma Kobayashi; Syed Bahauddin Alam (CoRR, 2023)

Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning. - Mengliang Zhang; Xinyue Hu 002; Lin Gu 003; Liangchen Liu; Kazuma Kobayashi; Tatsuya Harada; Ronald M. Summers; Yingying Zhu 003 (CoRR, 2023)

Can physician judgment enhance model trustworthiness? A case study on predicting pathological lymph nodes in rectal cancer. - Kazuma Kobayashi; Yasuyuki Takamizawa; Mototaka Miyake; Sono Ito; Lin Gu 003; Tatsuya Nakatsuka; Yu Akagi; Tatsuya Harada; Yukihide Kanemitsu; Ryuji Hamamoto (Artif. Intell. Medicine, 2024)

Virtual Sensing for Real-Time Degradation Monitoring of Nuclear Systems: Leveraging DeepONet for Enhanced Sensing Coverage for Digital Twin-Enabling Technology. - Raisa Bentay Hossain; Farid Ahmed; Kazuma Kobayashi; Seid Koric; Diab W. Abueidda; Syed Bahauddin Alam (CoRR, 2024)

Virtual Sensing to Enable Real-Time Monitoring of Inaccessible Locations & Unmeasurable Parameters. - Kazuma Kobayashi; Farid Ahmed; Syed Bahauddin Alam (CoRR, 2024)

Explainable, interpretable, and trustworthy AI for an intelligent digital twin: A case study on remaining useful life. - Kazuma Kobayashi; Syed Bahauddin Alam (Eng. Appl. Artif. Intell., 2024)

Improved generalization with deep neural operators for engineering systems: Path towards digital twin. - Kazuma Kobayashi; James Daniell; Syed Bahauddin Alam (Eng. Appl. Artif. Intell., 2024)

Interpretable medical image Visual Question Answering via multi-modal relationship graph learning. - Xinyue Hu 002; Lin Gu 003; Kazuma Kobayashi; Liangchen Liu; Mengliang Zhang; Tatsuya Harada; Ronald M. Summers; Yingying Zhu 003 (Medical Image Anal., 2024)

Development of a Decommissioning Robot with a Simple Structure Capable of Traversing Steps Using Two Different Drive Systems. - Riku Miura; Seiya Tozaki; Ibuki Mikado; Toma Takei; Shuichiro Ogake; Kazuma Kobayashi; Satoshi Mitsui; Toshifumi Satake; Naoki Igo (J. Robotics Mechatronics, 2024)

Sketch-based semantic retrieval of medical images. - Kazuma Kobayashi; Lin Gu 003; Ryuichiro Hataya; Takaaki Mizuno; Mototaka Miyake; Hirokazu Watanabe; Masamichi Takahashi; Yasuyuki Takamizawa; Yukihiro Yoshida; Satoshi Nakamura; Nobuji Kouno; Amina Bolatkan; et al. (Medical Image Anal., 2024)

Comparison of Vision Transformers and Convolutional Neural Networks in Medical Image Analysis: A Systematic Review. - Satoshi Takahashi; Yusuke Sakaguchi; Nobuji Kouno; Ken Takasawa; Kenichi Ishizu; Yu Akagi; Rina Aoyama; Naoki Teraya; Amina Bolatkan; Norio Shinkai; Hidenori Machino; Kazuma Kobayashi; et al. (J. Medical Syst., 2024)

A New Benchmark: Clinical Uncertainty and Severity Aware Labeled Chest X-Ray Images With Multi-Relationship Graph Learning. - Mengliang Zhang; Xinyue Hu 002; Lin Gu 003; Liangchen Liu; Kazuma Kobayashi; Tatsuya Harada; Yan Yan; Ronald M. Summers; Yingying Zhu 004 (IEEE Trans. Medical Imaging, 2025)

From Proxies to Fields: Spatiotemporal Reconstruction of Global Radiation from Sparse Sensor Sequences. - Kazuma Kobayashi; Samrendra Roy; Seid Koric; Diab W. Abueidda; Syed Bahauddin Alam (CoRR, 2025)

When Network Architecture Meets Physics: Deep Operator Learning for Coupled Multiphysics. - Kazuma Kobayashi; Jaewan Park; Qibang Liu; Seid Koric; Diab W. Abueidda; Syed Bahauddin Alam (CoRR, 2025)

Bridging Sequential Deep Operator Network and Video Diffusion: Residual Refinement of Spatio-Temporal PDE Solutions. - Jaewan Park; Farid Ahmed; Kazuma Kobayashi; Seid Koric; Syed Bahauddin Alam; Iwona Jasiuk; Diab W. Abueidda (CoRR, 2025)

Distribution-Free Uncertainty-Aware Virtual Sensing via Conformalized Neural Operators. - Kazuma Kobayashi; Shailesh Garg 001; Farid Ahmed; Souvik Chakraborty; Syed Bahauddin Alam (CoRR, 2025)