Kazuma Kobayashi

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All published works

Action	Title	Year	Authors
+ PDF Chat	Interpretable medical image visual question answering via multi-modal relationship graph learning	2024	Xinyue Hu Lin Gu Kazuma Kobayashi Liangchen Liu Mengliang Zhang Tatsuya Harada Ronald M. Summers Yingying Zhu
+	Can physician judgment enhance model trustworthiness? A case study on predicting pathological lymph nodes in rectal cancer	2024	Kazuma Kobayashi Yasuyuki Takamizawa Mototaka Miyake Sono Ito Lin Gu Tatsuya Nakatsuka Yu Akagi Tatsuya Harada Yukihide Kanemitsu Ryuji Hamamoto
+ PDF Chat	Explainable, interpretable, and trustworthy AI for an intelligent digital twin: A case study on remaining useful life	2023	Kazuma Kobayashi Syed Bahauddin Alam
+ PDF Chat	Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering	2023	Xinyue Hu Lin Gu Qiyuan An Mengliang Zhang Liangchen Liu Kazuma Kobayashi Tatsuya Harada Ronald M. Summers Yingying Zhu
+	Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning	2023	Xinyue Hu Lin Gu Kazuma Kobayashi Qiyuan An Qingyu Chen Zhiyong Lu Chang Su Tatsuya Harada Yingying Zhu
+	Sketch-based Medical Image Retrieval	2023	Kazuma Kobayashi Lin Gu Ryuichiro Hataya Takaaki Mizuno Mototaka Miyake Hirokazu Watanabe Masamichi Takahashi Yasuyuki Takamizawa Yukihiro Yoshida Satoshi Nakamura
+	Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning	2023	Mengliang Zhang Xinyue Hu Lin Gu Liangchen Liu Kazuma Kobayashi Tatsuya Harada Ronald M. Summers Yingying Zhu
+	Can Physician Judgment Enhance Model Trustworthiness? A Case Study on Predicting Pathological Lymph Nodes in Rectal Cancer	2023	Kazuma Kobayashi Yasuyuki Takamizawa Mototaka Miyake Sono Ito Lin Gu Tatsuya Nakatsuka Yu Akagi Tatsuya Harada Yukihide Kanemitsu Ryuji Hamamoto
+	Machine Learning and Artificial Intelligence-Driven Multi-Scale Modeling for High Burnup Accident-Tolerant Fuels for Light Water-Based SMR Applications	2022	Md. Shamim Hassan Abid Hossain Khan Richa Verma Dinesh Kumar Kazuma Kobayashi Shoaib Usman Syed Bahauddin Alam
+	Leveraging Industry 4.0 -- Deep Learning, Surrogate Model and Transfer Learning with Uncertainty Quantification Incorporated into Digital Twin for Nuclear System	2022	M. Rahman Abid Khan Sayeed Anowar Md Al-Imran Richa Verma Dinesh Kumar Kazuma Kobayashi Syed Bahauddin Alam
+	Surrogate Modeling-Driven Physics-Informed Multi-fidelity Kriging: Path Forward to Digital Twin Enabling Simulation for Accident Tolerant Fuel	2022	Kazuma Kobayashi James Daniell Shoaib Usman Dinesh Kumar Syed Bahauddin Alam
+	Reliability-Based Robust Design Optimization Method for Engineering Systems with Uncertainty Quantification	2022	Richa Verma Dinesh Kumar Kazuma Kobayashi Syed Bahauddin Alam
+	Practical Applications of Gaussian Process with Uncertainty Quantification and Sensitivity Analysis for Digital Twin for Accident Tolerant Fuel	2022	Kazuma Kobayashi Dinesh Kumar Matthew S. Bonney Syed Bahauddin Alam
+	Uncertainty Quantification and Sensitivity analysis for Digital Twin Enabling Technology: Application for BISON Fuel Performance Code	2022	Kazuma Kobayashi Dinesh Kumar Matthew S. Bonney Souvik Chakraborty Kyle M. Paaren Syed Bahauddin Alam
+	Data-driven multi-scale modeling and robust optimization of composite structure with uncertainty quantification	2022	Kazuma Kobayashi Shoaib Usman C. H. Castaño Ayodeji Babatunde Alajo Dinesh Kumar Syed Bahauddin Alam
+	Physics-Informed Multi-Stage Deep Learning Framework Development for Digital Twin-Centred State-Based Reactor Power Prediction	2022	James Daniell Kazuma Kobayashi Susmita Naskar Dinesh Kumar Souvik Chakraborty Ayodeji Babatunde Alajo Ethan Taber Joseph Graham Syed Bahauddin Alam
+	Non-Intrusive Uncertainty Quantification for U3Si2 and UO2 Fuels with SiC/SiC Cladding using BISON for Digital Twin-Enabling Technology	2022	Kazuma Kobayashi Dinesh Kumar Susmita Naskar Souvik Chakraborty Kyle M. Paaren Joseph Graham Syed Bahauddin Alam
+	Decomposing Normal and Abnormal Features of Medical Images into Discrete Latent Codes for Content-Based Image Retrieval.	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	2021	Kazuma Kobayashi Ryuichiro Hataya Yusuke Kurose Mototaka Miyake Masamichi Takahashi Akiko Nakagawa Tatsuya Harada Ryuji Hamamoto
+	Unsupervised Brain Abnormality Detection Using High Fidelity Image Reconstruction Networks.	2020	Kazuma Kobayashi Ryuichiro Hataya Yusuke Kurose Amina Bolatkan Mototaka Miyake Hirokazu Watanabe Masamichi Takahashi Naoki Mihara Jun Itami Tatsuya Harada
+	Decomposing Normal and Abnormal Features of Medical Images for Content-based Image Retrieval	2020	Kazuma Kobayashi Ryuichiro Hataya Yusuke Kurose Tatsuya Harada Ryuji Hamamoto
+	Learning Global and Local Features of Normal Brain Anatomy for Unsupervised Abnormality Detection	2020	Kazuma Kobayashi Ryuichiro Hataya Yusuke Kurose Amina Bolatkan Mototaka Miyake Hirokazu Watanabe Masamichi Takahashi Jun Itami Tatsuya Harada Ryuji Hamamoto
+ PDF Chat	Collectivity evolution in the neutron-rich Pd isotopes toward the<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>N</mml:mi><mml:mo>=</mml:mo><mml:mn>82</mml:mn></mml:mrow></mml:math>shell closure	2013	H. Wang N. Aoi Shoji Takeuchi M. Matsushita P. Doornenbal T. Motobayashi D. Steppenbeck K. Yoneda H. Baba L. Càceres

Common Coauthors

Coauthor	Papers Together
Tatsuya Harada	12
Syed Bahauddin Alam	10
Dinesh Kumar	9
Ryuji Hamamoto	8
Mototaka Miyake	7
Yusuke Kurose	6
Ryuichiro Hataya	6
Lin Gu	5
Masamichi Takahashi	5
Xinyue Hu	4
Richa Verma	3
Liangchen Liu	3
Hirokazu Watanabe	3
Shoaib Usman	3
Souvik Chakraborty	3
Ronald M. Summers	3
Amina Bolatkan	3
Mengliang Zhang	3
Yasuyuki Takamizawa	3
James Daniell	2
Akiko Nakagawa	2
Qiyuan An	2
Lin Gu	2
Joseph Graham	2
Susmita Naskar	2
Tatsuya Nakatsuka	2
Sono Ito	2
Yingying Zhu	2
Matthew S. Bonney	2
Yukihide Kanemitsu	2
Kyle M. Paaren	2
Jun Itami	2
Ayodeji Babatunde Alajo	2
Yu Akagi	2
H. Sakuraï	1
Chang Su	1
Yingying Zhu	1
Yukihiro Yoshida	1
Takaaki Mizuno	1
Zhuang Tian	1
Z. Yang	1
D. Sohler	1
K. Li	1
K. Yoneda	1
Zs. Dombrádi	1
Zs. Vajta	1
J. Lee	1
Y. Togano	1
D. Nishimura	1
C. H. Castaño	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	4
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	3
+ PDF Chat	Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations	2017	Carole H. Sudre Wenqi Li Tom Vercauteren Sébastien Ourselin M. Jorge Cardoso	3
+ PDF Chat	Exploring Visual Relationship for Image Captioning	2018	Ting Yao Yingwei Pan Yehao Li Tao Mei	2
+	InfoVAE: Information Maximizing Variational Autoencoders	2017	Shengjia Zhao Jiaming Song Stefano Ermon	2
+	A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks	2016	Dan Hendrycks Kevin Gimpel	2
+	MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs	2019	Alistair E. W. Johnson Tom Pollard Nathaniel R. Greenbaum Matthew P. Lungren Chih-Ying Deng Yifan Peng Zhiyong Lu Roger G. Mark Seth J. Berkowitz Steven Horng	2
+ PDF Chat	Unsupervised lesion detection via image restoration with a normative prior	2020	Xiaoran Chen Suhang You Kerem Can Tezcan Ender Konukoglu	2
+	ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction	2019	Haofu Liao Wei-An Lin Shuchang Zhou Jiebo Luo	2
+ PDF Chat	Relation-Aware Graph Attention Network for Visual Question Answering	2019	Linjie Li Zhe Gan Yu Cheng Jingjing Liu	2
+	Stochastic Backpropagation and Approximate Inference in Deep Generative Models	2014	Danilo Jimenez Rezende Shakir Mohamed Daan Wierstra	2
+	Deep Learning for Anomaly Detection: A Survey	2019	Raghavendra Chalapathy Sanjay Chawla	2
+ PDF Chat	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2016	Shaoqing Ren Kaiming He Ross Girshick Jian Sun	2
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	2
+	Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation	2014	Kyunghyun Cho Bart van Merriënboer Çaǧlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio	2
+ PDF Chat	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	2
+ PDF Chat	ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data	2020	Foivos I. Diakogiannis François Waldner Peter Caccetta Chen Wu	2
+ PDF Chat	Pseudo-healthy synthesis with pathology disentanglement and adversarial learning	2020	Tian Xia Agisilaos Chartsias Sotirios A. Tsaftaris	2
+	Chest ImaGenome Dataset for Clinical Reasoning	2021	Joy T. Wu Nkechinyere N. Agu Ismini Lourentzou Arjun Sharma Joseph Alexander Paguio Jasper Seth Yao Edward Christopher Dee William Mitchell Satyananda Kashyap Andrea Giovannini	2
+	Learning Conditioned Graph Structures for Interpretable Visual Question Answering	2018	Will Norcliffe-Brown Efstathios Vafeias Sarah Parisot	2
+	Boosting segmentation with weak supervision from image-to-image translation.	2019	Eugene Vorontsov Pavlo Molchanov Wonmin Byeon Shalini De Mello Varun Jampani Ming-Yu Liu Samuel Kadoury Jan Kautz	2
+ PDF Chat	VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations	2022	Ha Q. Nguyen Khanh Lam Linh Le Hieu H. Pham Dat Q. Tran Dung B. Nguyen Dung D. Le Chi M. Pham Hang T. T. Tong Diep H. Dinh	2
+ PDF Chat	Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders	2019	Paul Bergmann Sindy Löwe Michael Fauser David Sattlegger Carsten Steger	2
+	Hidden stratification causes clinically meaningful failures in machine learning for medical imaging	2020	Luke Oakden‐Rayner Jared Dunnmon Gustavo Carneiro Christopher Ré	2
+	GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium	2017	Martin Heusel Hubert Ramsauer Thomas Unterthiner Bernhard Nessler Sepp Hochreiter	2
+ PDF Chat	Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks	2017	Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros	2
+	Tutorial on Variational Autoencoders	2016	Carl Doersch	2
+ PDF Chat	When Radiology Report Generation Meets Knowledge Graph	2020	Yixiao Zhang Xiaosong Wang Ziyue Xu Qihang Yu Alan Yuille Daguang Xu	2
+	A Note on the Inception Score	2018	Shane Barratt Rishi Sharma	2
+ PDF Chat	SIFT Meets CNN: A Decade Survey of Instance Retrieval	2017	Liang Zheng Yi Yang Qi Tian	1
+	On the distribution of points in a cube and the approximate evaluation of integrals	1967	I. M. Sobol	1
+	Improved Techniques for Training GANs	2016	Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen	1
+	Model-Agnostic Interpretability of Machine Learning	2016	Marco Túlio Ribeiro Sameer Singh Carlos Guestrin	1
+ PDF Chat	Accurate intelligible models with pairwise interactions	2013	Yin Lou Rich Caruana Johannes Gehrke Giles Hooker	1
+	Stochastic Backpropagation and Approximate Inference in Deep Generative Models	2014	Danilo Jimenez Rezende Shakir Mohamed Daan Wierstra	1
+	Adversarial Feature Learning	2016	Jeff Donahue Philipp Krähenbühl Trevor Darrell	1
+ PDF Chat	Perceptual Losses for Real-Time Style Transfer and Super-Resolution	2016	Justin Johnson Alexandre Alahi Li Fei-Fei	1
+ PDF Chat	Collapse of the<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>N</mml:mi><mml:mo>=</mml:mo><mml:mn>28</mml:mn></mml:math>Shell Closure in<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mmultiscripts><mml:mi mathvariant="normal">S</mml:mi><mml:mprescripts /><mml:none /><mml:mn>42</mml:mn></mml:mmultiscripts><mml:mi mathvariant="normal">i</mml:mi></mml:math>	2007	B. Bastin S. Grévy D. Sohler O. Sorlin Zs. Dombràdi N. L. Achouri J. C. Angélique F. Azaiez D. Baiborodin R. Borcea	1
+	Attend, Infer, Repeat: Fast Scene Understanding with Generative Models	2016	S. M. Ali Eslami Nicolas Heess Théophane Weber Yuval Tassa David Szepesvari Koray Kavukcuoglu Geoffrey E. Hinton	1
+	Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation	2016	Konstantinos Kamnitsas Christian Ledig Virginia Newcombe Joanna Simpson Andrew D. Kane David Menon Daniel Rueckert Ben Glocker	1
+ PDF Chat	CIDEr: Consensus-based image description evaluation	2015	Ramakrishna Vedantam C. Lawrence Zitnick Devi Parikh	1
+	Microsoft COCO Captions: Data Collection and Evaluation Server	2015	Xinlei Chen Hao Fang Tsung-Yi Lin Ramakrishna Vedantam Saurabh Gupta Piotr Dollár C. Lawrence Zitnick	1
+	Exploring models and data for image question answering	2015	Mengye Ren Ryan Kiros Richard S. Zemel	1
+ PDF Chat	Self-Supervised Video Hashing With Hierarchical Binary Auto-Encoder	2018	Jingkuan Song Hanwang Zhang Xiangpeng Li Lianli Gao Meng Wang Richang Hong	1
+	Efficient GAN-Based Anomaly Detection	2018	Houssam Zenati Chuan-Sheng Foo Bruno Lecouat Gaurav Manek Vijay Chandrasekhar	1
+	Fast Decoding in Sequence Models using Discrete Latent Variables	2018	Łukasz Kaiser Aurko Roy Ashish Vaswani Niki Parmar Samy Bengio Jakob Uszkoreit Noam Shazeer	1
+	Understanding disentangling in $\beta$-VAE	2018	Christopher Burgess Irina Higgins Arka Pal Löıc Matthey Nick Watters Guillaume Desjardins Alexander Lerchner	1
+ PDF Chat	Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering	2018	Peter Anderson Xiaodong He Chris Buehler Damien Teney Mark Johnson Stephen Jay Gould Lei Zhang	1