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Kazuma Kobayashi
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2020 – today
- 2024
- [j10]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: 102929 (2024) - [j9]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: 107620 (2024) - [j8]Kazuma Kobayashi
Improved generalization with deep neural operators for engineering systems: Path towards digital twin. Eng. Appl. Artif. Intell. 131: 107844 (2024) - [j7]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:
Comparison of Vision Transformers and Convolutional Neural Networks in Medical Image Analysis: A Systematic Review. J. Medical Syst. 48(1): 84 (2024) - [j6]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): 95-106 (2024) - [j5]Kazuma Kobayashi
Sketch-based semantic retrieval of medical images. Medical Image Anal. 92: 103060 (2024) - [j4]Xinyue Hu
Interpretable medical image Visual Question Answering via multi-modal relationship graph learning. Medical Image Anal. 97: 103279 (2024) - 2023
- [c7]Xinyue Hu
Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering. KDD 2023: 4156-4165 - [c6]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: 403-413 - [i15]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 abs/2301.06676 (2023) - [i14]Kazuma Kobayashi, James Daniell, Syed B. Alam
Operator Learning Framework for Digital Twin and Complex Engineering Systems. CoRR abs/2301.06701 (2023) - [i13]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 abs/2302.09636 (2023) - [i12]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 abs/2303.03633 (2023) - [i11]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 abs/2307.11986 (2023) - [i10]Kazuma Kobayashi, Syed Bahauddin Alam:
Potential of Deep Operator Networks in Digital Twin-enabling Technology for Nuclear System. CoRR abs/2308.07523 (2023) - [i9]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 abs/2309.03331 (2023) - [i8]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 abs/2312.09529 (2023) - 2022
- [j3]Ryuji Hamamoto
Application of non-negative matrix factorization in oncology: one approach for establishing precision medicine. Briefings Bioinform. 23(4) (2022) - [j2]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): 509-522 (2022) - [c5]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: 167-169 - [i7]Md. Shamim Hassan, Abid Hossain Khan, Richa Verma, Dinesh Kumar
Machine Learning and Artificial Intelligence-Driven Multi-Scale Modeling for High Burnup Accident-Tolerant Fuels for Light Water-Based SMR Applications. CoRR abs/2209.12146 (2022) - [i6]M. Rahman, Abid Khan, Sayeed Anowar, Md. Al Imran, Richa Verma, Dinesh Kumar
Leveraging Industry 4.0 - Deep Learning, Surrogate Model and Transfer Learning with Uncertainty Quantification Incorporated into Digital Twin for Nuclear System. CoRR abs/2210.00074 (2022) - [i5]Kazuma Kobayashi, Shoaib Usman, Carlos Castano, Ayodeji Alajo, Dinesh Kumar
Data-driven multi-scale modeling and robust optimization of composite structure with uncertainty quantification. CoRR abs/2210.09055 (2022) - [i4]James Daniell, Kazuma Kobayashi, Susmita Naskar, Dinesh Kumar
Physics-Informed Multi-Stage Deep Learning Framework Development for Digital Twin-Centred State-Based Reactor Power Prediction. CoRR abs/2211.13157 (2022) - 2021
- [j1]Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Mototaka Miyake, Masamichi Takahashi
Decomposing normal and abnormal features of medical images for content-based image retrieval of glioma imaging. Medical Image Anal. 74: 102227 (2021) - [c4]Shota Yamaguchi, Kenji Iseya, Kazuma Kobayashi, Satoshi Mitsui, Toshifumi Satake, Naoki Igo:
Decommissioning Robot Retrieves Fuel Debris from High Altitude. ICA 2021: 53-56 - [c3]Kazuma Kobayashi, Taichi Aida, Mamoru Komachi:
Analyzing Semantic Changes in Japanese Words Using BERT. PACLIC 2021: 270-280 - [i3]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 abs/2103.12328 (2021) - 2020
- [i2]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 abs/2005.12573 (2020) - [i1]Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Tatsuya Harada, Ryuji Hamamoto:
Decomposing Normal and Abnormal Features of Medical Images for Content-based Image Retrieval. CoRR abs/2011.06224 (2020)
2010 – 2019
- 2019
- [c2]Kazuma Kobayashi, Kentaro Hirata, Yukinori Nakamura, Kunihisa Okano:
Optimal Design of Cooperative Standing-Up Motion for Care Worker and Receiver. ICM 2019: 67-72 - 2017
- [c1]Kazuma Kobayashi, Kentaro Hirata, Yukinori Nakamura, Kunihisa Okano:
Automatic generation of optimal standing-up motion using nonlinear receding horizon control. SII 2017: 481-486
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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