Shoji Kido
Orcid: 0000-0001-5293-4110
According to our database1,
Shoji Kido
authored at least 60 papers
between 1997 and 2023.
Collaborative distances:
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Bibliography
2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Bi-modal network combining convolutional neural network and TabNet, differentiating spinal tumors based on images and clinical risk factors.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
2022
Segmentation of Lung Nodules on CT Images Using a Nested Three-Dimensional Fully Connected Convolutional Network.
Frontiers Artif. Intell., 2022
CoRR, 2022
Segmentation of liver tumors in multiphase computed tomography images using hybrid method.
Comput. Electr. Eng., 2022
Anomaly Detection for Lung CT image Using Efficient GAN with Learning Stabilizations.
Proceedings of the Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, 2022
Pixel-Level and Affinity-Level Knowledge Distillation for Unsupervised Segmentation of Covid-19 Lesions.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the 11th IEEE Global Conference on Consumer Electronics, 2022
Factual Accuracy is not Enough: Planning Consistent Description Order for Radiology Report Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
Classification of respiratory sounds using improved convolutional recurrent neural network.
Comput. Electr. Eng., 2021
Semi-supervised CycleGAN for domain transformation of chest CT images and its application to opacity classification of diffuse lung diseases.
Int. J. Comput. Assist. Radiol. Surg., 2021
Proceedings of the ICBBE 2021: 8th International Conference on Biomedical and Bioinformatics Engineering, Kyoto, Japan, November 12, 2021
2020
Investigating the Effects of Transfer Learning on ROI-based Classification of Chest CT Images: A Case Study on Diffuse Lung Diseases.
J. Signal Process. Syst., 2020
IEEE J. Biomed. Health Informatics, 2020
Supervoxel Graph Cuts: An Effective Method for GGO Candidate Regions Extraction on CT Images.
IEEE Consumer Electron. Mag., 2020
Weak supervision in convolutional neural network for semantic segmentation of diffuse lung diseases using partially annotated dataset.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Evolutionary Neural Network and Visualization for CNN-based Pulmonary Textures Classification.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Unsupervised Detection of Pulmonary Opacities for Computer-Aided Diagnosis of COVID-19 on CT Images.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Automatic Classification of Respiratory Sounds Based on Convolutional Neural Network with Multi Images.
Proceedings of the ICBSP 2020: 5th International Conference on Biomedical Imaging, 2020
Unsupervised Content-Preserved Adaptation Network for Classification of Pulmonary Textures from Different CT Scanners.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
3D-CNN with residual sub-blocks for automatic detection of lung nodules from temporal subtraction images.
Proceedings of the 2020 International Conference on Artificial Intelligence in Information and Communication, 2020
2019
Proceedings of the 4th International Conference on Biomedical Signal and Image Processing, 2019
2018
Extraction of GGO Candidate Regions on Thoracic CT Images using SuperVoxel-Based Graph Cuts for Healthcare Systems.
Mob. Networks Appl., 2018
Feature Representation Analysis of Deep Convolutional Neural Network using Two-stage Feature Transfer -An Application for Diffuse Lung Disease Classification-.
CoRR, 2018
Deep radiomic prediction with clinical predictors of the survival in patients with rheumatoid arthritis-associated interstitial lung diseases.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Opacity annotation of diffuse lung diseases using deep convolutional neural network with multi-channel information.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Deep neural network convolution (NNC) for three-class classification of diffuse lung disease opacities in high-resolution CT (HRCT): Consolidation, ground-glass opacity (GGO), and normal opacity.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Pulmonary Textures Classification Using A Deep Neural Network with Appearance and Geometry Cues.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
Automatic classification of lung nodules on MDCT images with the temporal subtraction technique.
Int. J. Comput. Assist. Radiol. Surg., 2017
Unsupervised class labeling of diffuse lung diseases using frequent attribute patterns.
Int. J. Comput. Assist. Radiol. Surg., 2017
2015
A Sparse Representation Based Method to Classify Pulmonary Patterns of Diffuse Lung Diseases.
Comput. Math. Methods Medicine, 2015
Transparent visualization of large-scale and complex polygon meshes using a stochastic point-based rendering method.
Proceedings of the SIGGRAPH Asia 2015 Visualization in High Performance Computing, 2015
A Transfer Learning Method with Deep Convolutional Neural Network for Diffuse Lung Disease Classification.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Determination of lung regions on chest ct images with diffuse lung diseases by use of anatomical structures and pulmonary textures.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Automatic detection of GGO regions on CT images in LIDC dataset based on statistical features.
Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014
Automatic identification of lung candidate nodules on chest CT images based on temporal subtraction images.
Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014
2013
IEICE Trans. Inf. Syst., 2013
A Bag-of-Features Approach to Classify Six Types of Pulmonary Textures on High-Resolution Computed Tomography.
IEICE Trans. Inf. Syst., 2013
Particle System Based Adaptive Sampling on Spherical Parameter Space to Improve the MDL Method for Construction of Statistical Shape Models.
Comput. Math. Methods Medicine, 2013
Comput. Math. Methods Medicine, 2013
Classification of diffuse lung diseases patterns by a sparse representation based method on HRCT images.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Semantic characteristics prediction of pulmonary nodule using Artificial Neural Networks.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Proceedings of the International Conference on Computerized Healthcare, 2012
2011
Classification of Diffuse Lung Disease Patterns on High-Resolution Computed Tomography by a Bag of Words Approach.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
2010
Classification of Idiopathic Interstitial Pneumonia on High-resolution CT Images using Counter-propagation Network.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2010
2009
Classification of patterns for diffuse lung diseases in thoracic CT images by AdaBoost algorithm.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
2007
Analysis of Idiopathic interstitial Pneumonia by Self Organization Map on High-Resolution Computed Tomography Images.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2007
2006
Discrimination of Lung Sounds Using a Statistics of Waveform Intervals.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications & Conference on Real-Time Computing Systems and Applications, 2006
Automatic segmentation of pulmonary nodules on CT images by use of NCI lung image database consortium.
Proceedings of the Medical Imaging 2006: Image Processing, 2006
2004
Power spectral analysis of idiopathic interstitial pneumonias in high resolution CT images.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004
Computer-aided diagnosis for distinction between benign and malignant pulmonary nodules on chest radiographs using temporal subtraction images.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004
2003
Automatic segmentation of small pulmonary nodules on multi detector-row CT images.
Proceedings of the CARS 2003. Computer Assisted Radiology and Surgery. Proceedings of the 17th International Congress and Exhibition, 2003
2000
Low-cost soft-copy display accuracy in the detection of pulmonary nodules by single-exposure dual-energy subtraction: Comparison with hard-copy viewing.
J. Digit. Imaging, 2000
1999
Proceedings of the 1oth International Conference on Image Analysis and Processing (ICIAP 1999), 1999
1997
A computerized analysis system in chest radiography: Evaluation of interstitial lung abnormalities.
J. Digit. Imaging, 1997