Kazuma Kobayashi

46 papers A* 1C 1Journal 38Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adversarial Vulnerabilities in Neural Operator Digital Twins: Gradient-Free Attacks on Nuclear Thermal-Hydraulic Surrogates. CoRR Samrendra Roy, Kazuma Kobayashi, Souvik Chakraborty, Rizwan Uddin, Syed Bahauddin Alam
2026	J	`jnl`	Development of a Debris Recovery Robot in the Narrow Space Inside the Reactor Building. J. Robotics Mechatronics Seiya Tozaki, Riku Miura, Eita Iwaki, Toma Takei, Kazuma Kobayashi, Satoshi Mitsui, Toshifumi Satake, Naoki Igo
2026	J	`jnl`	Med-CoReasoner: Reducing Language Disparities in Medical Reasoning via Language-Informed Co-Reasoning. CoRR Fan Gao, Sherry T. Tong, Jiwoong Sohn, Jiahao Huang, Junfeng Jiang, Ding Xia, Piyalitt Ittichaiwong, Kanyakorn Veerakanjana, Hyunjae Kim, Qingyu Chen, Edison Marrese-Taylor, Kazuma Kobayashi, Akkiko Aizawa, Irene Li
2025	J	`jnl`	A New Benchmark: Clinical Uncertainty and Severity Aware Labeled Chest X-Ray Images With Multi-Relationship Graph Learning. IEEE Trans. Medical Imaging Mengliang ZHang, Xinyue Hu, Lin Gu, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Yan Yan, Ronald M. Summers, Yingying Zhu
2025	J	`jnl`	Agentic Physical AI toward a Domain-Specific Foundation Model for Nuclear Reactor Control. CoRR Yoonpyo Lee, Kazuma Kobayashi, Sai Puppala, Sajedul Talukder, Seid Koric, Souvik Chakraborty, Syed Bahauddin Alam
2025	J	`jnl`	Bridging Sequential Deep Operator Network and Video Diffusion: Residual Refinement of Spatio-Temporal PDE Solutions. CoRR Jaewan Park, Farid Ahmed, Kazuma Kobayashi, Seid Koric, Syed Bahauddin Alam, Iwona Jasiuk, Diab W. Abueidda
2025	J	`jnl`	Cross-Domain Long-Term Forecasting: Radiation Dose from Sparse Neutron Sensor via Spatio-Temporal Operator Network. CoRR Jay Phil Yoo, Kazuma Kobayashi, Souvik Chakraborty, Syed Bahauddin Alam
2025	J	`jnl`	Distribution-Free Uncertainty-Aware Virtual Sensing via Conformalized Neural Operators. CoRR Kazuma Kobayashi, Shailesh Garg, Farid Ahmed, Souvik Chakraborty, Syed Bahauddin Alam
2025	J	`jnl`	From Proxies to Fields: Spatiotemporal Reconstruction of Global Radiation from Sparse Sensor Sequences. CoRR Kazuma Kobayashi, Samrendra Roy, Seid Koric, Diab W. Abueidda, Syed Bahauddin Alam
2025	—	`conf`	Leveraging High-Resource English Corpora for Cross-lingual Domain Adaptation in Low-Resource Japanese Medicine via Continued Pre-training. EMNLP (Findings) Kazuma Kobayashi, Zhen Wan, Fei Cheng, Tsuta Yuma, Xin Zhao, Junfeng Jiang, Jiahao Huang, Zhiyi Huang, Yusuke Oda, Rio Yokota, Yuki Arase, Daisuke Kawahara, Akiko Aizawa, Sadao Kurohashi
2025	J	`jnl`	When Network Architecture Meets Physics: Deep Operator Learning for Coupled Multiphysics. CoRR Kazuma Kobayashi, Jaewan Park, Qibang Liu, Seid Koric, Diab W. Abueidda, Syed Bahauddin Alam
2024	J	`jnl`	Can physician judgment enhance model trustworthiness? A case study on predicting pathological lymph nodes in rectal cancer. Artif. Intell. Medicine Kazuma Kobayashi, Yasuyuki Takamizawa, Mototaka Miyake, Sono Ito, Lin Gu, Tatsuya Nakatsuka, Yu Akagi, Tatsuya Harada, Yukihide Kanemitsu, Ryuji Hamamoto
2024	J	`jnl`	Comparison of Vision Transformers and Convolutional Neural Networks in Medical Image Analysis: A Systematic Review. J. Medical Syst. 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
2024	J	`jnl`	Development of a Decommissioning Robot with a Simple Structure Capable of Traversing Steps Using Two Different Drive Systems. J. Robotics Mechatronics Riku Miura, Seiya Tozaki, Ibuki Mikado, Toma Takei, Shuichiro Ogake, Kazuma Kobayashi, Satoshi Mitsui, Toshifumi Satake, Naoki Igo
2024	J	`jnl`	Explainable, interpretable, and trustworthy AI for an intelligent digital twin: A case study on remaining useful life. Eng. Appl. Artif. Intell. Kazuma Kobayashi, Syed Bahauddin Alam
2024	J	`jnl`	Improved generalization with deep neural operators for engineering systems: Path towards digital twin. Eng. Appl. Artif. Intell. Kazuma Kobayashi, James Daniell, Syed Bahauddin Alam
2024	J	`jnl`	Interpretable medical image Visual Question Answering via multi-modal relationship graph learning. Medical Image Anal. Xinyue Hu, Lin Gu, Kazuma Kobayashi, Liangchen Liu, Mengliang ZHang, Tatsuya Harada, Ronald M. Summers, Yingying Zhu
2024	J	`jnl`	Sketch-based semantic retrieval of medical images. Medical Image Anal. 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
2024	J	`jnl`	Virtual Sensing for Real-Time Degradation Monitoring of Nuclear Systems: Leveraging DeepONet for Enhanced Sensing Coverage for Digital Twin-Enabling Technology. CoRR Raisa Bentay Hossain, Farid Ahmed, Kazuma Kobayashi, Seid Koric, Diab W. Abueidda, Syed Bahauddin Alam
2024	J	`jnl`	Virtual Sensing to Enable Real-Time Monitoring of Inaccessible Locations & Unmeasurable Parameters. CoRR Kazuma Kobayashi, Farid Ahmed, Syed Bahauddin Alam
2023	J	`jnl`	Analysis of Semantic Changes in Japanese Words Using BERT. J. Nat. Lang. Process. Kazuma Kobayashi, Taichi Aida, Teruaki Oka, Mamoru Komachi
2023	J	`jnl`	Can Physician Judgment Enhance Model Trustworthiness? A Case Study on Predicting Pathological Lymph Nodes in Rectal Cancer. CoRR Kazuma Kobayashi, Yasuyuki Takamizawa, Mototaka Miyake, Sono Ito, Lin Gu, Tatsuya Nakatsuka, Yu Akagi, Tatsuya Harada, Yukihide Kanemitsu, Ryuji Hamamoto
2023	A*	`conf`	Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering. KDD Xinyue Hu, Lin Gu, Qiyuan An, Mengliang ZHang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu
2023	J	`jnl`	Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering. CoRR Xinyue Hu, Lin Gu, Qiyuan An, Mengliang ZHang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu
2023	J	`jnl`	Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning. CoRR Mengliang ZHang, Xinyue Hu, Lin Gu, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu
2023	J	`jnl`	Explainable, Interpretable & Trustworthy AI for Intelligent Digital Twin: Case Study on Remaining Useful Life. CoRR Kazuma Kobayashi, Bader Almutairi, Md. Nazmus Sakib, Souvik Chakraborty, Syed B. Alam
2023	J	`jnl`	Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning. CoRR Xinyue Hu, Lin Gu, Kazuma Kobayashi, Qiyuan An, Qingyu Chen, Zhiyong Lu, Chang Su, Tatsuya Harada, Yingying Zhu
2023	J	`jnl`	Operator Learning Framework for Digital Twin and Complex Engineering Systems. CoRR Kazuma Kobayashi, James Daniell, Syed B. Alam
2023	J	`jnl`	Potential of Deep Operator Networks in Digital Twin-enabling Technology for Nuclear System. CoRR Kazuma Kobayashi, Syed Bahauddin Alam
2023	J	`jnl`	Sketch-based Medical Image Retrieval. CoRR 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
2023	—	`conf`	Towards AI-Driven Radiology Education: A Self-supervised Segmentation-Based Framework for High-Precision Medical Image Editing. MICCAI (2) Kazuma Kobayashi, Lin Gu, Ryuichiro Hataya, Mototaka Miyake, Yasuyuki Takamizawa, Sono Ito, Hirokazu Watanabe, Yukihiro Yoshida, Hiroki Yoshimura, Tatsuya Harada, Ryuji Hamamoto
2022	J	`jnl`	Application of non-negative matrix factorization in oncology: one approach for establishing precision medicine. Briefings Bioinform. 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
2022	J	`jnl`	Data-driven multi-scale modeling and robust optimization of composite structure with uncertainty quantification. CoRR Kazuma Kobayashi, Shoaib Usman, Carlos Castano, Ayodeji Alajo, Dinesh Kumar, Syed B. Alam
2022	—	`conf`	Development of Tomato Harvest Support System Using Mixed Reality Head Mounted Display. LifeTech Ryota Goka, Kazuma Ueda, Shota Yamaguchi, Noriyuki Kimura, Kenji Iseya, Kazuma Kobayashi, Toyoaki Tomura, Satoshi Mitsui, Toshifumi Satake, Naoki Igo
2022	J	`jnl`	Leveraging Industry 4.0 - Deep Learning, Surrogate Model and Transfer Learning with Uncertainty Quantification Incorporated into Digital Twin for Nuclear System. CoRR M. Rahman, Abid Khan, Sayeed Anowar, Md. Al Imran, Richa Verma, Dinesh Kumar, Kazuma Kobayashi, Syed B. Alam
2022	J	`jnl`	Machine Learning and Artificial Intelligence-Driven Multi-Scale Modeling for High Burnup Accident-Tolerant Fuels for Light Water-Based SMR Applications. CoRR Md. Shamim Hassan, Abid Hossain Khan, Richa Verma, Dinesh Kumar, Kazuma Kobayashi, Shoaib Usman, Syed B. Alam
2022	J	`jnl`	Physics-Informed Multi-Stage Deep Learning Framework Development for Digital Twin-Centred State-Based Reactor Power Prediction. CoRR James Daniell, Kazuma Kobayashi, Susmita Naskar, Dinesh Kumar, Souvik Chakraborty, Ayodeji Alajo, Ethan Taber, Joseph Graham, Syed B. Alam
2022	J	`jnl`	Robots Climbing Up and Down a Steep Stairs and Robots Retrieving Objects from High Places. J. Robotics Mechatronics Naoki Igo, Shota Yamaguchi, Noriyuki Kimura, Kazuma Ueda, Kenji Iseya, Kazuma Kobayashi, Toyoaki Tomura, Satoshi Mitsui, Toshifumi Satake
2021	C	`conf`	Analyzing Semantic Changes in Japanese Words Using BERT. PACLIC Kazuma Kobayashi, Taichi Aida, Mamoru Komachi
2021	—	`conf`	Decommissioning Robot Retrieves Fuel Debris from High Altitude. ICA Shota Yamaguchi, Kenji Iseya, Kazuma Kobayashi, Satoshi Mitsui, Toshifumi Satake, Naoki Igo
2021	J	`jnl`	Decomposing Normal and Abnormal Features of Medical Images into Discrete Latent Codes for Content-Based Image Retrieval. CoRR Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Mototaka Miyake, Masamichi Takahashi, Akiko Nakagawa, Tatsuya Harada, Ryuji Hamamoto
2021	J	`jnl`	Decomposing normal and abnormal features of medical images for content-based image retrieval of glioma imaging. Medical Image Anal. Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Mototaka Miyake, Masamichi Takahashi, Akiko Nakagawa, Tatsuya Harada, Ryuji Hamamoto
2020	J	`jnl`	Decomposing Normal and Abnormal Features of Medical Images for Content-based Image Retrieval. CoRR Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Tatsuya Harada, Ryuji Hamamoto
2020	J	`jnl`	Unsupervised Brain Abnormality Detection Using High Fidelity Image Reconstruction Networks. CoRR Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Amina Bolatkan, Mototaka Miyake, Hirokazu Watanabe, Masamichi Takahashi, Naoki Mihara, Jun Itami, Tatsuya Harada, Ryuji Hamamoto
2019	—	`conf`	Optimal Design of Cooperative Standing-Up Motion for Care Worker and Receiver. ICM Kazuma Kobayashi, Kentaro Hirata, Yukinori Nakamura, Kunihisa Okano
2017	—	`conf`	Automatic generation of optimal standing-up motion using nonlinear receding horizon control. SII Kazuma Kobayashi, Kentaro Hirata, Yukinori Nakamura, Kunihisa Okano