Kazuma Kobayashi

According to our database, Kazuma Kobayashi authored at least 33 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A New Benchmark: Clinical Uncertainty and Severity Aware Labeled Chest X-Ray Images With Multi-Relationship Graph Learning.

Mengliang Zhang, Xinyue Hu, Lin Gu, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Yan Yan, Ronald M. Summers, Yingying Zhu

IEEE Trans. Medical Imaging, January, 2025

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, Ken Asada, Masaaki Komatsu, Syuzo Kaneko, Masashi Sugiyama, Ryuji Hamamoto

J. Medical Syst., December, 2024

Sketch-based semantic retrieval of medical images.

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

Medical Image Anal., February, 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, February, 2024

Interpretable medical image Visual Question Answering via multi-modal relationship graph learning.

Xinyue Hu, Lin Gu, Kazuma Kobayashi, Liangchen Liu, Mengliang Zhang, Tatsuya Harada, Ronald M. Summers, Yingying Zhu

Medical Image Anal., 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

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

Virtual Sensing to Enable Real-Time Monitoring of Inaccessible Locations & Unmeasurable Parameters.

Kazuma Kobayashi, Farid Ahmed, Syed Bahauddin Alam

CoRR, 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

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, Tatsuya Nakatsuka, Yu Akagi, Tatsuya Harada, Yukihide Kanemitsu, Ryuji Hamamoto

Artif. Intell. Medicine, 2024

2023

Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning.

Mengliang Zhang, Xinyue Hu, Lin Gu, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu

CoRR, 2023

Potential of Deep Operator Networks in Digital Twin-enabling Technology for Nuclear System.

Kazuma Kobayashi, Syed Bahauddin Alam

CoRR, 2023

Sketch-based Medical Image Retrieval.

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

CoRR, 2023

Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning.

Xinyue Hu, Lin Gu, Kazuma Kobayashi, Qiyuan An, Qingyu Chen, Zhiyong Lu, Chang Su, Tatsuya Harada, Yingying Zhu

CoRR, 2023

Operator Learning Framework for Digital Twin and Complex Engineering Systems.

Kazuma Kobayashi, James Daniell, Syed B. Alam

CoRR, 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

Towards AI-Driven Radiology Education: A Self-supervised Segmentation-Based Framework for High-Precision Medical Image Editing.

Kazuma Kobayashi, Lin Gu, Ryuichiro Hataya, Mototaka Miyake, Yasuyuki Takamizawa, Sono Ito, Hirokazu Watanabe, Yukihiro Yoshida, Hiroki Yoshimura, Tatsuya Harada, Ryuji Hamamoto

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering.

Xinyue Hu, Lin Gu, Qiyuan An, Mengliang Zhang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

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

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

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

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

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

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, Koji Okamoto, Hirokazu Kameoka, Syuzo Kaneko

Briefings Bioinform., 2022

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

Proceedings of the 4th IEEE Global Conference on Life Sciences and Technologies, 2022

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

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

Analyzing Semantic Changes in Japanese Words Using BERT.

Kazuma Kobayashi, Taichi Aida, Mamoru Komachi

Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, 2021

Decommissioning Robot Retrieves Fuel Debris from High Altitude.

Shota Yamaguchi, Kenji Iseya, Kazuma Kobayashi, Satoshi Mitsui, Toshifumi Satake, Naoki Igo

Proceedings of the IEEE International Conference on Agents, 2021

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

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

2019

Optimal Design of Cooperative Standing-Up Motion for Care Worker and Receiver.

Kazuma Kobayashi, Kentaro Hirata, Yukinori Nakamura, Kunihisa Okano

Proceedings of the IEEE International Conference on Mechatronics, 2019

2017

Automatic generation of optimal standing-up motion using nonlinear receding horizon control.

Kazuma Kobayashi, Kentaro Hirata, Yukinori Nakamura, Kunihisa Okano

Proceedings of the IEEE/SICE International Symposium on System Integration, 2017