A computerized analysis system in chest radiography: Evaluation of interstitial lung abnormalities. - Shoji Kido; Junpei Ikezoe; Shinichi Tamura; Hironobu Nakamura; Chikazumi Kuroda (J. Digit. Imaging, 1997)

Automated Lesion Detection Methods for 2D and 3D Chest X-Ray Images. - Takeshi Hara; Hiroshi Fujita 001; Yongbum Lee; Hitoshi Yoshimura; Shoji Kido (ICIAP, 1999)

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; Keiko Kuriyama; Naohiro Hosomi; Etsuo Inoue; Chikazumi Kuroda; Takeshi Horai (J. Digit. Imaging, 2000)

Automatic segmentation of small pulmonary nodules on multi detector-row CT images. - Rie Tachibana; Shoji Kido; Hayaru Shouno; Tsuneo Matsumoto (CARS, 2003)

Computer-aided diagnosis for distinction between benign and malignant pulmonary nodules on chest radiographs using temporal subtraction images. - Nobuhiro Oda; Shoji Kido; Shoko Yamada; Takatoshi Aoki; Hideyuki Watanabe; Yukunori Korogi; Shigehiko Katsuragawa; Kunio Doi (CARS, 2004)

Power spectral analysis of idiopathic interstitial pneumonias in high resolution CT images. - Rie Tachibana; Shoji Kido; Nobuyuki Tanaka; Tsuneo Matsumoto (CARS, 2004)

Automatic segmentation of pulmonary nodules on CT images by use of NCI lung image database consortium. - Rie Tachibana; Shoji Kido (Image Processing, 2006)

Discrimination of Lung Sounds Using a Statistics of Waveform Intervals. - Taketoshi Orihashi; Hayaru Shouno; Shoji Kido (PDPTA, 2006)

Analysis of Idiopathic interstitial Pneumonia by Self Organization Map on High-Resolution Computed Tomography Images. - Yoshiharu Goto; Hayaru Shouno; Shoji Kido (PDPTA, 2007)

Automated extraction of pleural effusion in three-dimensional thoracic CT images. - Shoji Kido; Akinori Tsunomori (Computer-Aided Diagnosis, 2009)

Classification of patterns for diffuse lung diseases in thoracic CT images by AdaBoost algorithm. - Masayuki Kuwahara; Shoji Kido; Hayaru Shouno (Computer-Aided Diagnosis, 2009)

Classification of Idiopathic Interstitial Pneumonia on High-resolution CT Images using Counter-propagation Network. - Yuki Tanaka; Hayaru Shouno; Shoji Kido (PDPTA, 2010)

Classification of Diffuse Lung Disease Patterns on High-Resolution Computed Tomography by a Bag of Words Approach. - Rui Xu 002; Yasushi Hirano; Rie Tachibana; Shoji Kido (MICCAI (3), 2011)

Medical image processing and computer-aided detection/diagnosis (CAD). - Hiroshi Fujita 001; Fumio Nogata; Huiyan Jiang; Shoji Kido; T. Feng; Takeshi Hara; Tatsuro Hayashi; Yasushi Hirano; Akitoshi Katsumata; Y. Kawamura; T. Kokubo; J. Liu; et al. (ICCH, 2012)

Semantic characteristics prediction of pulmonary nodule using Artificial Neural Networks. - Guangxu Li; Hyoungseop Kim; Joo Kooi Tan; Seiji Ishikawa; Yasushi Hirano; Shoji Kido; Rie Tachibana (EMBC, 2013)

Classification of diffuse lung diseases patterns by a sparse representation based method on HRCT images. - Wei Zhao 015; Rui Xu 002; Yasushi Hirano; Rie Tachibana; Shoji Kido (EMBC, 2013)

GND-PCA-Based Statistical Modeling of Diaphragm Motion Extracted from 4D MRI. - Windra Swastika; Yoshitada Masuda; Rui Xu 002; Shoji Kido; Yen-Wei Chen 001; Hideaki Haneishi (Comput. Math. Methods Medicine, 2013)

Particle System Based Adaptive Sampling on Spherical Parameter Space to Improve the MDL Method for Construction of Statistical Shape Models. - Rui Xu 002; Xiangrong Zhou; Yasushi Hirano; Rie Tachibana; Takeshi Hara; Shoji Kido; Hiroshi Fujita 001 (Comput. Math. Methods Medicine, 2013)

A Bag-of-Features Approach to Classify Six Types of Pulmonary Textures on High-Resolution Computed Tomography. - Rui Xu 002; Yasushi Hirano; Rie Tachibana; Shoji Kido (IEICE Trans. Inf. Syst., 2013)

Classification of Pneumoconiosis on HRCT Images for Computer-Aided Diagnosis. - Wei Zhao 015; Rui Xu 002; Yasushi Hirano; Rie Tachibana; Shoji Kido; Narufumi Suganuma (IEICE Trans. Inf. Syst., 2013)

Automatic identification of lung candidate nodules on chest CT images based on temporal subtraction images. - Shuji Tanaka; Yuriko Ikeda; Hyoungseop Kim; Joo Kooi Tan; Seiji Ishikawa; Seiichi Murakami; Takatoshi Aoki; Rie Tachibana; Yasushi Hirano; Shoji Kido (SCIS&ISIS, 2014)

Automatic detection of GGO regions on CT images in LIDC dataset based on statistical features. - Keisuke Yokota; Shinya Maeda; Hyoungseop Kim; Joo Kooi Tan; Seiji Ishikawa; Rie Tachibana; Yasushi Hirano; Shoji Kido (SCIS&ISIS, 2014)

Determination of lung regions on chest ct images with diffuse lung diseases by use of anatomical structures and pulmonary textures. - Kyohei Karasawa; Shoji Kido; Yasushi Hirano; Kazuki Kozuka (EMBC, 2015)

A Transfer Learning Method with Deep Convolutional Neural Network for Diffuse Lung Disease Classification. - Hayaru Shouno; Satoshi Suzuki; Shoji Kido (ICONIP (1), 2015)

Transparent visualization of large-scale and complex polygon meshes using a stochastic point-based rendering method. - Rui Xu 002; Satoshi Tanaka; Kyoko Hasegawa; Wang Sheng; Tomoko Tateyama; Yen-Wei Chen 001; Shoji Kido (SIGGRAPH Asia Visualization in High Performance Computing, 2015)

A Sparse Representation Based Method to Classify Pulmonary Patterns of Diffuse Lung Diseases. - Wei Zhao 015; Rui Xu 002; Yasushi Hirano; Rie Tachibana; Shoji Kido (Comput. Math. Methods Medicine, 2015)

Unsupervised class labeling of diffuse lung diseases using frequent attribute patterns. - Shingo Mabu; Masanao Obayashi; Takashi Kuremoto; Noriaki Hashimoto; Yasushi Hirano; Shoji Kido (Int. J. Comput. Assist. Radiol. Surg., 2017)

Automatic classification of lung nodules on MDCT images with the temporal subtraction technique. - Yuriko Yoshino; Takahiro Miyajima; Huimin Lu 001; Joo Kooi Tan; Hyoungseop Kim; Seiichi Murakami; Takatoshi Aoki; Rie Tachibana; Yasushi Hirano; Shoji Kido (Int. J. Comput. Assist. Radiol. Surg., 2017)

Pulmonary Textures Classification Using A Deep Neural Network with Appearance and Geometry Cues. - Rui Xu 002; Zhen Cong; Xinchen Ye; Yasushi Hirano; Shoji Kido (ICASSP, 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. - Noriaki Hashimoto; Kenji Suzuki 001; Junchi Liu; Yasushi Hirano; Heber MacMahon; Shoji Kido (Computer-Aided Diagnosis, 2018)

Opacity annotation of diffuse lung diseases using deep convolutional neural network with multi-channel information. - Shingo Mabu; Shoji Kido; Noriaki Hashimoto; Yasushi Hirano; Takashi Kuremoto (Computer-Aided Diagnosis, 2018)

Deep radiomic prediction with clinical predictors of the survival in patients with rheumatoid arthritis-associated interstitial lung diseases. - Radin A. Nasirudin; Janne J. Näppi; Chinatsu Watari; Mikio Matsuhiro; Toru Hironaka; Shoji Kido; Hiroyuki Yoshida (Computer-Aided Diagnosis, 2018)

Feature Representation Analysis of Deep Convolutional Neural Network using Two-stage Feature Transfer -An Application for Diffuse Lung Disease Classification-. - Aiga Suzuki; Hidenori Sakanashi; Shoji Kido; Hayaru Shouno (CoRR, 2018)

Extraction of GGO Candidate Regions on Thoracic CT Images using SuperVoxel-Based Graph Cuts for Healthcare Systems. - Huimin Lu 001; Masashi Kondo; Yujie Li 001; Joo Kooi Tan; Hyoungseop Kim; Seiichi Murakami; Takotoshi Aoki; Shoji Kido (Mob. Networks Appl., 2018)

Detection of Abnormal Regions on Temporal Subtraction Images based on CNN. - Mitsuaki Nagao; Huimin Lu 001; Hyoungseop Kim; Takatoshi Aoki; Shoji Kido (ICBIP, 2019)

3D-CNN with residual sub-blocks for automatic detection of lung nodules from temporal subtraction images. - Yuriko Yoshino; Huimin Lu 001; Hyoungseop Kim; Takatoshi Aoki; Shoji Kido (ICAIIC, 2020)

Unsupervised Content-Preserved Adaptation Network for Classification of Pulmonary Textures from Different CT Scanners. - Rui Xu 002; Zhen Cong; Xinchen Ye; Shoji Kido; Noriyuki Tomiyama (ICASSP, 2020)

Automatic Classification of Respiratory Sounds Based on Convolutional Neural Network with Multi Images. - Koki Minami; Huimin Lu 001; Tohru Kamiya; Shingo Mabu; Shoji Kido (ICBSP, 2020)

Unsupervised Detection of Pulmonary Opacities for Computer-Aided Diagnosis of COVID-19 on CT Images. - Rui Xu 002; Xiao Cao; Yufeng Wang; Yen-Wei Chen 001; Xinchen Ye; Lin Lin 008; Wenchao Zhu; Chao Chen; Fangyi Xu; Yong Zhou; Hongjie Hu; Shoji Kido; et al. (ICPR, 2020)

BG-Net: Boundary-Guided Network for Lung Segmentation on Clinical CT Images. - Rui Xu 002; Yi Wang 037; Tiantian Liu; Xinchen Ye; Lin Lin 008; Yen-Wei Chen 001; Shoji Kido; Noriyuki Tomiyama (ICPR, 2020)

Detail- Revealing Deep Low-Dose CT Reconstruction. - Xinchen Ye; Yuyao Xu; Rui Xu 002; Shoji Kido; Noriyuki Tomiyama (ICPR, 2020)

Evolutionary Neural Network and Visualization for CNN-based Pulmonary Textures Classification. - Guoliang Gong; Lin Lin 008; Zhaoyang Wu; Rui Xu 002; Shoji Kido; Yan Hu (ICTAI, 2020)

Weak supervision in convolutional neural network for semantic segmentation of diffuse lung diseases using partially annotated dataset. - Yuki Suzuki; Kazuki Yamagata; Yanagawa Masahiro; Shoji Kido; Noriyuki Tomiyama (Computer-Aided Diagnosis, 2020)

Supervoxel Graph Cuts: An Effective Method for GGO Candidate Regions Extraction on CT Images. - Huimin Lu 001; Masashi Kondo; Yujie Li 001; Joo Kooi Tan; Hyoungseop Kim; Seiichi Murakami; Takatoshi Aoki; Shoji Kido (IEEE Consumer Electron. Mag., 2020)

Pulmonary Textures Classification via a Multi-Scale Attention Network. - Rui Xu 002; Zhen Cong; Xinchen Ye; Yasushi Hirano; Shoji Kido; Tomoko Gyobu; Yutaka Kawata; Osamu Honda; Noriyuki Tomiyama (IEEE J. Biomed. Health Informatics, 2020)

Investigating the Effects of Transfer Learning on ROI-based Classification of Chest CT Images: A Case Study on Diffuse Lung Diseases. - Shingo Mabu; Ami Atsumo; Shoji Kido; Takashi Kuremoto; Yasushi Hirano (J. Signal Process. Syst., 2020)

Detection of Abnormal Opacity on Chest CT Images Using A 3D-CNN. - Yuichiro Koizumi; Tohru Kamiya; Takatoshi Aoki; Shoji Kido (ICBBE, 2021)

Semi-supervised CycleGAN for domain transformation of chest CT images and its application to opacity classification of diffuse lung diseases. - Shingo Mabu; Masashi Miyake; Takashi Kuremoto; Shoji Kido (Int. J. Comput. Assist. Radiol. Surg., 2021)

Classification of respiratory sounds using improved convolutional recurrent neural network. - Naoki Asatani; Tohru Kamiya; Shingo Mabu; Shoji Kido (Comput. Electr. Eng., 2021)

Factual Accuracy is not Enough: Planning Consistent Description Order for Radiology Report Generation. - Toru Nishino; Yasuhide Miura; Tomoki Taniguchi; Tomoko Ohkuma; Yuki Suzuki; Shoji Kido; Noriyuki Tomiyama (EMNLP, 2022)

Anomaly Detection for Lung CT Images Using SVDD-AE. - Zhihui Gao; Ryohei Nakayama; Akiyoshi Hizukuri; Kosuke Shibuya; Shoji Kido (GCCE, 2022)

Pixel-Level and Affinity-Level Knowledge Distillation for Unsupervised Segmentation of Covid-19 Lesions. - Rui Xu 002; Yufeng Wang; Xinchen Ye; Pengcheng Wu; Yen-Wei Chen 001; Fangyi Xu; Wenchao Zhu; Chao Chen; Yong Zhou; Hongjie Hu; Xiaofeng Qu; Shoji Kido; et al. (ICASSP, 2022)

Anomaly Detection for Lung CT image Using Efficient GAN with Learning Stabilizations. - Yuto Akita; Ryohei Nakayama; Akiyoshi Hizukuri; Shoji Kido (SCIS/ISIS, 2022)

Segmentation of liver tumors in multiphase computed tomography images using hybrid method. - Jiaqi Wu; Muki Furuzuki; Guangxu Li; Tohru Kamiya; Shingo Mabu; Masahiro Tanabe; Katsuyoshi Ito; Shoji Kido (Comput. Electr. Eng., 2022)

Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest Radiographs. - Junya Sato; Yuki Suzuki; Tomohiro Wataya; Daiki Nishigaki; Kosuke Kita; Kazuki Yamagata; Noriyuki Tomiyama; Shoji Kido (CoRR, 2022)

Large Batch and Patch Size Training for Medical Image Segmentation. - Junya Sato; Shoji Kido (CoRR, 2022)

Segmentation of Lung Nodules on CT Images Using a Nested Three-Dimensional Fully Connected Convolutional Network. - Shoji Kido; Shunske Kidera; Yasushi Hirano; Shingo Mabu; Tohru Kamiya; Nobuyuki Tanaka; Yuki Suzuki; Yanagawa Masahiro; Noriyuki Tomiyama (Frontiers Artif. Intell., 2022)

Bi-modal network combining convolutional neural network and TabNet, differentiating spinal tumors based on images and clinical risk factors. - Kosuke Kita; Takahito Fujimori; Yuki Suzuki; Seiji Okada; Shoji Kido (Computer-Aided Diagnosis, 2023)

Automatic characterization of liver tumors from multi-phase CT images. - Keita Otani; Daiki Nishigaki; Taro Hatsutani; Takeshi Takamoto; Yuki Suzuki; Shoji Kido; Noriyuki Tomiyama (Computer-Aided Diagnosis, 2023)

Visual Grounding of Whole Radiology Reports for 3D CT Images. - Akimichi Ichinose; Taro Hatsutani; Keigo Nakamura; Yoshiro Kitamura; Satoshi Iizuka; Edgar Simo-Serra; Shoji Kido; Noriyuki Tomiyama (MICCAI (5), 2023)

Classification of Histological Types of Primary Lung Cancer from CT Images Using Clinical Information. - Naoya Honda; Tohru Kamiya; Shoji Kido (ICBET, 2024)

Automated entry of paper-based patient-reported outcomes: Applying deep learning to the Japanese orthopaedic association back pain evaluation questionnaire. - Kosuke Kita; Takahito Fujimori; Yuki Suzuki; Takashi Kaito; Shota Takenaka; Yuya Kanie; Masayuki Furuya; Tomohiro Wataya; Daiki Nishigaki; Junya Sato; Noriyuki Tomiyama; Seiji Okada; et al. (Comput. Biol. Medicine, 2024)

Domain transformation using semi-supervised CycleGAN for improving performance of classifying thyroid tissue images. - Yoshihito Ichiuji; Shingo Mabu; Satomi Hatta; Kunihiro Inai; Shohei Higuchi; Shoji Kido (Int. J. Comput. Assist. Radiol. Surg., 2024)

High-quality semi-supervised anomaly detection with generative adversarial networks. - Yuki Sato; Junya Sato; Noriyuki Tomiyama; Shoji Kido (Int. J. Comput. Assist. Radiol. Surg., 2024)

Comparison of active learning algorithms in classifying head computed tomography reports using bidirectional encoder representations from transformers. - Tomohiro Wataya; Azusa Miura; Takahisa Sakisuka; Masahiro Fujiwara; Hisashi Tanaka; Yu Hiraoka; Junya Sato; Miyuki Tomiyama; Daiki Nishigaki; Kosuke Kita; Yuki Suzuki; Shoji Kido; et al. (Int. J. Comput. Assist. Radiol. Surg., 2025)

Feature Separation in Diffuse Lung Disease Image Classification by Using Evolutionary Algorithm-Based NAS. - Qing Zhang; Dan Shao; Lin Lin 008; Guoliang Gong; Rui Xu 002; Shoji Kido; HongWei Cui (IEEE J. Biomed. Health Informatics, 2025)