S. Kido

Yoshihiko Hamamoto, H. Hirayama, Kazuhiro Ueda, 2000, KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516).

Feature Representation Analysis of Deep Convolutional Neural Network using Two-stage Feature Transfer -An Application for Diffuse Lung Disease Classification- pdf

Shoji Kido, Hayaru Shouno, Hidenori Sakanashi, 2018, ArXiv.

Automatic Classification of Large-Scale Respiratory Sound Dataset Based on Convolutional Neural Network

Shingo Mabu, Huimin Lu, Hyoungseop Kim, 2019, 2019 19th International Conference on Control, Automation and Systems (ICCAS).

Particle System Based Adaptive Sampling on Spherical Parameter Space to Improve the MDL Method for Construction of Statistical Shape Models

Rui Xu, Xiangrong Zhou, Hiroshi Fujita, 2013, Comput. Math. Methods Medicine.

Detection and classification of lung abnormalities by use of convolutional neural network (CNN) and regions with CNN features (R-CNN)

Shoji Kido, Noriaki Hashimoto, Yasusi Hirano, 2018, 2018 International Workshop on Advanced Image Technology (IWAIT).

Detection of abnormal candidate regions on temporal subtraction images based on DCNN

Huimin Lu, Hyoungseop Kim, Yuriko Yoshino, 2017, 2017 17th International Conference on Control, Automation and Systems (ICCAS).

Extraction of GGO regions from chest CT images using deep learning

Huimin Lu, Joo Kooi Tan, Hyoungseop Kim, 2017, 2017 17th International Conference on Control, Automation and Systems (ICCAS).

Histogram-based comparison between dynamic and static lung perfused blood volume images using dual energy CT.

S. Kido, Katsuyoshi Ito, M. Okada, 2018, European journal of radiology.

Classification of Pneumoconiosis on HRCT Images for Computer-Aided Diagnosis

Rui Xu, Yasushi Hirano, Shoji Kido, 2013, IEICE Trans. Inf. Syst..

Detection of pulmonary nodules on chest x-ray images using R-CNN

Shingo Mabu, Yasushi Hirano, Shoji Kido, 2019, Other Conferences.

Use of artificial intelligence to identify data elements for The Japanese Orthopaedic Association National Registry from operative records.

S. Kido, M. Takao, Keisuke Uemura, 2022, Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association.

Semantic characteristics prediction of pulmonary nodule using Artificial Neural Networks

Joo Kooi Tan, Hyoungseop Kim, Yasushi Hirano, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

CT findings in lymphangitic carcinomatosis of the lung: correlation with histologic findings and pulmonary function tests.

N Kohno, J Ikezoe, N Tomiyama, 1992, AJR. American journal of roentgenology.

Automatic segmentation of pulmonary nodules on CT images by use of NCI lung image database consortium

Shoji Kido, Rie Tachibana, S. Kido, 2006, SPIE Medical Imaging.

Deep radiomic prediction with clinical predictors of the survival in patients with rheumatoid arthritis-associated interstitial lung diseases

Hiroyuki Yoshida, Shoji Kido, Janne J. Näppi, 2018, Medical Imaging.

Histogram-pattern analysis of the lung perfused blood volume for assessment of pulmonary thromboembolism.

S. Kido, M. Okada, Y. Kunihiro, 2018, Diagnostic and interventional radiology.

Automatic classification of lung nodules on MDCT images with the temporal subtraction technique

Huimin Lu, Joo Kooi Tan, Hyoungseop Kim, 2017, International Journal of Computer Assisted Radiology and Surgery.

Fractal Analysis for the Assessment of Pulmonary Blood Flow on Chest Radiographs

S. Kido, Shinji Sasaki, 2003, Journal of thoracic imaging.

Comparison between computer-aided diagnosis and radiologists: assessment of pulmonary blood flow on chest radiographs.

S. Kido, K. Kuriyama, C. Kuroda, 2000, Journal of thoracic imaging.

The low attenuation area on dual-energy perfusion CT: correlation with the pulmonary function tests and quantitative CT measurements.

S. Kido, N. Matsunaga, M. Okada, 2012, European journal of radiology.

GND-PCA-Based Statistical Modeling of Diaphragm Motion Extracted from 4D MRI

Yen-Wei Chen, Rui Xu, Hideaki Haneishi, 2013, Comput. Math. Methods Medicine.

Evolutionary Neural Network and Visualization for CNN-based Pulmonary Textures Classification

Rui Xu, Lin Lin, Shoji Kido, 2020, 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI).

Differentiation Between Heterogeneous GGN and Part-Solid Nodule Using 2 D Grayscale Histogram Analysis of Thin-Section CT Image.

M. Uetani, S. Kido, T. Nagayasu, 2023, Clinical lung cancer.

Segmentation of liver tumors in multiphase computed tomography images using hybrid method

Shingo Mabu, Shoji Kido, Tohru Kamiya, 2022, Computers & electrical engineering.

Deep learning algorithm for detection of aortic dissection on non-contrast-enhanced CT

S. Kido, N. Tomiyama, Mitsuko Tsubamoto, 2020, European Radiology.

Three-Dimensional Image-Based Biomedical Simulation for Estimation of Respiratory Function After Lobectomy

S. Kido, K. Ueda, Yasushi Hirano, 2016 .

Automatic characterization of liver tumors from multi-phase CT images

S. Kido, T. Takamoto, Yuki Suzuki, 2023, Medical Imaging.

Factual Accuracy is not Enough: Planning Consistent Description Order for Radiology Report Generation

S. Kido, T. Ohkuma, Tomoki Taniguchi, 2022, EMNLP.

Fractal Analysis of Internal and Peripheral Textures of Small Peripheral Bronchogenic Carcinomas in Thin-section Computed Tomography: Comparison of Bronchioloalveolar Cell Carcinomas With Nonbronchioloalveolar Cell Carcinomas

Shoji Kido, Chikazumi Kuroda, Keiko Kuriyama, 2003, Journal of computer assisted tomography.

Deep Learning in Textural Medical Image Analysis

Shoji Kido, Hayaru Shouno, Hidenori Sakanashi, 2019 .

Segmentation of Lung Nodules on CT Images Using a Nested Three-Dimensional Fully Connected Convolutional Network

Tohru Kamiya, S. Kido, N. Tomiyama, 2022, Frontiers in Artificial Intelligence.

Deep Convolution Neural Network with 2-Stage Transfer Learning for Medical Image Classification

Satoshi Suzuki, Shoji Kido, Hayaru Shouno, 2017 .

Segmentation of Diffuse Lung Abnormality Patterns on Computed Tomography Images using Partially Supervised Learning

S. Kido, N. Tomiyama, Yoshinobu Sato, 2022, Advanced Biomedical Engineering.

Unsupervised Detection of Pulmonary Opacities for Computer-Aided Diagnosis of COVID-19 on CT Images

Yen-Wei Chen, Shoji Kido, Hongjie Hu, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Anomaly Detection of Lung Sounds Using Deep Neural Networks

S. Kido, T. Kuremoto, Shingo Mabu, 2022, IEEJ Transactions on Electronics Information and Systems.

Classification of Respiratory Sounds by Generated Image and Improved CRNN

Tohru Kamiya, S. Kido, Shingo Mabu, 2021, International Conference on Control, Automation and Systems.

Su1566 Computer-Assisted Automatic Identification System for Colorectal Narrow Band Imaging (NBI) Classification

Hisao Tajiri, Shoji Kido, Takeshi Nakajima, 2011 .

Lung Sound Classification Using Deep Neural Networks with Pre-training

Shoji Kido, Takashi Kuremoto, Ryosuke Wakamoto, 2020 .

Volumetric evaluation of dual-energy perfusion CT for the assessment of intrapulmonary clot burden.

S. Kido, K. Suga, N. Matsunaga, 2013, Clinical radiology.

Combining the Gabor and histogram features for classifying diffuse lung opacities in thin-section computed tomography

Yoshihiko Hamamoto, Kazuhiro Ueda, Yoshihiro Mitani, 2002, Object recognition supported by user interaction for service robots.

Optimizing early cancer diagnosis and detection using a temporal subtraction technique

Shoji Kido, Tohru Kamiya, Noriaki Miyake, 2021 .

Single-exposure dual-energy chest images with computed radiography. Evaluation with simulated pulmonary nodules.

T Kozuka, J Ikezoe, W. Ito, 1993, Investigative radiology.

Long term follow-up for small pure ground-glass nodules: implications of determining an optimum follow-up period and high-resolution CT findings to predict the growth of nodules

K. Ashizawa, S. Kido, N. Matsunaga, 2012, Japanese Journal of Radiology.

Fractal Analysis for Quantitative Evaluation of Diffuse Lung Abnormalities on Chest Radiographs: Use of Sub-ROIs

S. Kido, Shinji Sasaki, 2003, Journal of thoracic imaging.

Computerized classification of interstitial lung abnormalities on chest radiographs with normalized radiographic index and normalized fractal dimension.

S. Kido, S Kido, S Tamura, 2001, European journal of radiology.

Interstitial lung diseases: evaluation of the performance of a computerized analysis system versus observers.

C Kuroda, S. Kido, C. Kuroda, 1999, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

Quantification of interstitial lung abnormalities with chest radiography: comparison of radiographic index and fractal dimension.

C Kuroda, S. Kido, C. Kuroda, 1998, Academic radiology.

A computerized analysis system in chest radiography: Evaluation of interstitial lung abnormalities

Hironobu Nakamura, Shinichi Tamura, Shoji Kido, 1997, Journal of Digital Imaging.

Identification of abnormal tissue from CT images using improved ResNet34

Tohru Kamiya, S. Kido, Naoya Honda, 2022, 2022 22nd International Conference on Control, Automation and Systems (ICCAS).

Investigating the Effects of Transfer Learning on ROI-based Classification of Chest CT Images: A Case Study on Diffuse Lung Diseases

Shingo Mabu, Shoji Kido, Takashi Kuremoto, 2020, J. Signal Process. Syst..

Analysis of the effects of transfer learning on opacity classification of diffuse lung diseases using convolutional neural network

Shingo Mabu, Yasushi Hirano, Shoji Kido, 2019, Other Conferences.

Low-cost soft-copy display accuracy in the detection of pulmonary nodules by single-exposure dual-energy subtraction: Comparison with hard-copy viewing

Shoji Kido, Chikazumi Kuroda, Keiko Kuriyama, 2000, Journal of digital imaging.

Clinical evaluation of pulmonary nodules with single-exposure dual-energy subtraction chest radiography with an iterative noise-reduction algorithm.

T Kozuka, J Ikezoe, J Arisawa, 1995, Radiology.

J022023 A method to extract bronchus region from CT images using cavity enhancement filter and region growing algorithm

Rui Xu, Yasushi Hirano, Shoji Kido, 2011 .

Classification of Idiopathic Interstitial Pneumonia on High-resolution CT Images using Counter-propagation Network

Yuki Tanaka, Shoji Kido, Hayaru Shouno, 2010, International Conference on Parallel and Distributed Processing Techniques and Applications.

Computer-Aided Diagnosis of Computational Anatomical Model and Application of Computer-Aided Autopsy Imaging

Rui Xu, Yasushi Hirano, Shoji Kido, 2011 .

Analysis of Idiopathic interstitial Pneumonia by Self Organization Map on High-Resolution Computed Tomography Images

Shoji Kido, Hayaru Shouno, Yoshiharu Goto, 2007, PDPTA.

Semi-supervised CycleGAN for domain transformation of chest CT images and its application to opacity classification of diffuse lung diseases

Shingo Mabu, Shoji Kido, Takashi Kuremoto, 2021, International Journal of Computer Assisted Radiology and Surgery.

Automatic segmentation of small pulmonary nodules on multi detector-row CT images

Shoji Kido, Hayaru Shouno, Rie Tachibana, 2003, Computer Assisted Radiology and Surgery - International Congress and Exhibition.

Determination of lung regions on chest ct images with diffuse lung diseases by use of anatomical structures and pulmonary textures

Kazuki Kozuka, Yasushi Hirano, Shoji Kido, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A Bag-of-Features Approach to Classify Six Types of Pulmonary Textures on High-Resolution Computed Tomography

Rui Xu, Yasushi Hirano, Shoji Kido, 2013, IEICE Trans. Inf. Syst..

Automatic Classification of Respiratory Sound Considering Hierarchical Structure

Tohru Kamiya, S. Kido, Shingo Mabu, 2022, International Conference on Control, Automation and Systems.

Automatic Classification of Respiratory Sounds Based on Convolutional Neural Network with Multi Images

Tohru Kamiya, S. Kido, S. Mabu, 2020, ICBSP.

Computer-aided diagnosis for distinction between benign and malignant pulmonary nodules on chest radiographs using temporal subtraction images

Kunio Doi, Shoji Kido, Hideyuki Watanabe, 2004, CARS.

[The usefulness of fractal geometry for the diagnosis of small peripheral lung tumors].

K Kuriyama, C Kuroda, S. Kido, 1998, Nihon Igaku Hoshasen Gakkai zasshi. Nippon acta radiologica.

Bi-modal network combining convolutional neural network and TabNet, differentiating spinal tumors based on images and clinical risk factors

S. Kido, Takahito Fujimori, Yuki Suzuki, 2023, Medical Imaging.

Interpretation of subtle interstitial lung abnormalities: conventional versus film-digitized radiography.

N Kohno, J Ikezoe, N Tomiyama, 1994, Radiology.

Power spectral analysis of idiopathic interstitial pneumonias in high resolution CT images

Shoji Kido, Rie Tachibana, Nobuyuki Tanaka, 2004, CARS.

Interpretation of subtle interstitial chest abnormalities: Conventional radiography versus high-resolution storage-phosphor radiography—A preliminary study

J. Ikezoe, S. Kido, T. Johkoh, 1995, Journal of Digital Imaging.