Kazuma Kobayashi

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 31

Top Topics

Graph Representation

Image Retrieval

Top Venues

Medical Image Anal.

Eng. Appl. Artif. Intell.

J. Robotics Mechatronics

Publications

Riku Miura, Seiya Tozaki, Ibuki Mikado, Toma Takei, Shuichiro Ogake, Kazuma Kobayashi, Satoshi Mitsui, Toshifumi Satake, Naoki Igo
Development of a Decommissioning Robot with a Simple Structure Capable of Traversing Steps Using Two Different Drive Systems. J. Robotics Mechatronics 36 (1) (2024)
Kazuma Kobayashi, Yasuyuki Takamizawa, Mototaka Miyake, Sono Ito, Lin Gu, Tatsuya Nakatsuka, Yu Akagi, Tatsuya Harada, Yukihide Kanemitsu, Ryuji Hamamoto
Can physician judgment enhance model trustworthiness? A case study on predicting pathological lymph nodes in rectal cancer. Artif. Intell. Medicine 154 (2024)
Kazuma Kobayashi, Syed Bahauddin Alam
Explainable, interpretable, and trustworthy AI for an intelligent digital twin: A case study on remaining useful life. Eng. Appl. Artif. Intell. 129 (2024)
Kazuma Kobayashi, James Daniell, Syed Bahauddin Alam
Improved generalization with deep neural operators for engineering systems: Path towards digital twin. Eng. Appl. Artif. Intell. 131 (2024)
Kazuma Kobayashi, Lin Gu, Ryuichiro Hataya, Takaaki Mizuno, Mototaka Miyake, Hirokazu Watanabe, Masamichi Takahashi, Yasuyuki Takamizawa, Yukihiro Yoshida, Satoshi Nakamura, Nobuji Kouno, Amina Bolatkan, Yusuke Kurose, Tatsuya Harada, Ryuji Hamamoto
Sketch-based semantic retrieval of medical images. Medical Image Anal. 92 (2024)
Xinyue Hu, Lin Gu, Kazuma Kobayashi, Liangchen Liu, Mengliang Zhang, Tatsuya Harada, Ronald M. Summers, Yingying Zhu
Interpretable medical image Visual Question Answering via multi-modal relationship graph learning. Medical Image Anal. 97 (2024)
Kazuma Kobayashi, Lin Gu, Ryuichiro Hataya, Mototaka Miyake, Yasuyuki Takamizawa, Sono Ito, Hirokazu Watanabe, Yukihiro Yoshida, Hiroki Yoshimura, Tatsuya Harada, Ryuji Hamamoto
Towards AI-Driven Radiology Education: A Self-supervised Segmentation-Based Framework for High-Precision Medical Image Editing. MICCAI (2) (2023)
Mengliang Zhang, Xinyue Hu, Lin Gu, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu
Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning. CoRR (2023)
Kazuma Kobayashi, Syed Bahauddin Alam
Potential of Deep Operator Networks in Digital Twin-enabling Technology for Nuclear System. CoRR (2023)
Xinyue Hu, Lin Gu, Qiyuan An, Mengliang Zhang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu
Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering. KDD (2023)
Xinyue Hu, Lin Gu, Kazuma Kobayashi, Qiyuan An, Qingyu Chen, Zhiyong Lu, Chang Su, Tatsuya Harada, Yingying Zhu
Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning. CoRR (2023)
Kazuma Kobayashi, Bader Almutairi, Md. Nazmus Sakib, Souvik Chakraborty, Syed B. Alam
Explainable, Interpretable & Trustworthy AI for Intelligent Digital Twin: Case Study on Remaining Useful Life. CoRR (2023)
Kazuma Kobayashi, Yasuyuki Takamizawa, Mototaka Miyake, Sono Ito, Lin Gu, Tatsuya Nakatsuka, Yu Akagi, Tatsuya Harada, Yukihide Kanemitsu, Ryuji Hamamoto
Can Physician Judgment Enhance Model Trustworthiness? A Case Study on Predicting Pathological Lymph Nodes in Rectal Cancer. CoRR (2023)
Kazuma Kobayashi, James Daniell, Syed B. Alam
Operator Learning Framework for Digital Twin and Complex Engineering Systems. CoRR (2023)
Kazuma Kobayashi, Lin Gu, Ryuichiro Hataya, Takaaki Mizuno, Mototaka Miyake, Hirokazu Watanabe, Masamichi Takahashi, Yasuyuki Takamizawa, Yukihiro Yoshida, Satoshi Nakamura, Nobuji Kouno, Amina Bolatkan, Yusuke Kurose, Tatsuya Harada, Ryuji Hamamoto
Sketch-based Medical Image Retrieval. CoRR (2023)
Xinyue Hu, Lin Gu, Qiyuan An, Mengliang Zhang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu
Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering. CoRR (2023)
Ryuji Hamamoto, Ken Takasawa, Hidenori Machino, Kazuma Kobayashi, Satoshi Takahashi, Amina Bolatkan, Norio Shinkai, Akira Sakai, Rina Aoyama, Masayoshi Yamada, Ken Asada, Masaaki Komatsu, Koji Okamoto, Hirokazu Kameoka, Syuzo Kaneko
Application of non-negative matrix factorization in oncology: one approach for establishing precision medicine. Briefings Bioinform. 23 (4) (2022)
Ryota Goka, Kazuma Ueda, Shota Yamaguchi, Noriyuki Kimura, Kenji Iseya, Kazuma Kobayashi, Toyoaki Tomura, Satoshi Mitsui, Toshifumi Satake, Naoki Igo
Development of Tomato Harvest Support System Using Mixed Reality Head Mounted Display. LifeTech (2022)
Kazuma Kobayashi, Shoaib Usman, Carlos Castano, Ayodeji Alajo, Dinesh Kumar, Syed Alam
Data-driven multi-scale modeling and robust optimization of composite structure with uncertainty quantification. CoRR (2022)
James Daniell, Kazuma Kobayashi, Susmita Naskar, Dinesh Kumar, Souvik Chakraborty, Ayodeji Alajo, Ethan Taber, Joseph Graham, Syed B. Alam
Physics-Informed Multi-Stage Deep Learning Framework Development for Digital Twin-Centred State-Based Reactor Power Prediction. CoRR (2022)
M. Rahman, Abid Khan, Sayeed Anowar, Md. Al Imran, Richa Verma, Dinesh Kumar, Kazuma Kobayashi, Syed Alam
Leveraging Industry 4.0 - Deep Learning, Surrogate Model and Transfer Learning with Uncertainty Quantification Incorporated into Digital Twin for Nuclear System. CoRR (2022)
Naoki Igo, Shota Yamaguchi, Noriyuki Kimura, Kazuma Ueda, Kenji Iseya, Kazuma Kobayashi, Toyoaki Tomura, Satoshi Mitsui, Toshifumi Satake
Robots Climbing Up and Down a Steep Stairs and Robots Retrieving Objects from High Places. J. Robotics Mechatronics 34 (3) (2022)
Md. Shamim Hassan, Abid Hossain Khan, Richa Verma, Dinesh Kumar, Kazuma Kobayashi, Shoaib Usman, Syed Alam
Machine Learning and Artificial Intelligence-Driven Multi-Scale Modeling for High Burnup Accident-Tolerant Fuels for Light Water-Based SMR Applications. CoRR (2022)
Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Mototaka Miyake, Masamichi Takahashi, Akiko Nakagawa, Tatsuya Harada, Ryuji Hamamoto
Decomposing normal and abnormal features of medical images for content-based image retrieval of glioma imaging. Medical Image Anal. 74 (2021)
Kazuma Kobayashi, Taichi Aida, Mamoru Komachi
Analyzing Semantic Changes in Japanese Words Using BERT. PACLIC (2021)
Shota Yamaguchi, Kenji Iseya, Kazuma Kobayashi, Satoshi Mitsui, Toshifumi Satake, Naoki Igo
Decommissioning Robot Retrieves Fuel Debris from High Altitude. ICA (2021)
Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Mototaka Miyake, Masamichi Takahashi, Akiko Nakagawa, Tatsuya Harada, Ryuji Hamamoto
Decomposing Normal and Abnormal Features of Medical Images into Discrete Latent Codes for Content-Based Image Retrieval. CoRR (2021)
Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Tatsuya Harada, Ryuji Hamamoto
Decomposing Normal and Abnormal Features of Medical Images for Content-based Image Retrieval. CoRR (2020)
Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Amina Bolatkan, Mototaka Miyake, Hirokazu Watanabe, Masamichi Takahashi, Naoki Mihara, Jun Itami, Tatsuya Harada, Ryuji Hamamoto
Unsupervised Brain Abnormality Detection Using High Fidelity Image Reconstruction Networks. CoRR (2020)
Kazuma Kobayashi, Kentaro Hirata, Yukinori Nakamura, Kunihisa Okano
Optimal Design of Cooperative Standing-Up Motion for Care Worker and Receiver. ICM (2019)
Kazuma Kobayashi, Kentaro Hirata, Yukinori Nakamura, Kunihisa Okano
Automatic generation of optimal standing-up motion using nonlinear receding horizon control. SII (2017)