Shoji Kido

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 41

Top Topics

Anomaly Detection

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

Kosuke Kita, Takahito Fujimori, Yuki Suzuki, Takashi Kaito, Shota Takenaka, Yuya Kanie, Masayuki Furuya, Tomohiro Wataya, Daiki Nishigaki, Junya Sato, Noriyuki Tomiyama, Seiji Okada, Shoji Kido
Automated entry of paper-based patient-reported outcomes: Applying deep learning to the Japanese orthopaedic association back pain evaluation questionnaire. Comput. Biol. Medicine 172 (2024)
Akimichi Ichinose, Taro Hatsutani, Keigo Nakamura, Yoshiro Kitamura, Satoshi Iizuka, Edgar Simo-Serra, Shoji Kido, Noriyuki Tomiyama
Visual Grounding of Whole Radiology Reports for 3D CT Images. MICCAI (5) (2023)
Keita Otani, Daiki Nishigaki, Taro Hatsutani, Takeshi Takamoto, Yuki Suzuki, Shoji Kido, Noriyuki Tomiyama
Automatic characterization of liver tumors from multi-phase CT images. Medical Imaging: Computer-Aided Diagnosis (2023)
Akimichi Ichinose, Taro Hatsutani, Keigo Nakamura, Yoshiro Kitamura, Satoshi Iizuka, Edgar Simo-Serra, Shoji Kido, Noriyuki Tomiyama
Visual Grounding of Whole Radiology Reports for 3D CT Images. CoRR (2023)
Kosuke Kita, Takahito Fujimori, Yuki Suzuki, Seiji Okada, Shoji Kido
Bi-modal network combining convolutional neural network and TabNet, differentiating spinal tumors based on images and clinical risk factors. Medical Imaging: Computer-Aided Diagnosis (2023)
Jiaqi Wu, Muki Furuzuki, Guangxu Li, Tohru Kamiya, Shingo Mabu, Masahiro Tanabe, Katsuyoshi Ito, Shoji Kido
Segmentation of liver tumors in multiphase computed tomography images using hybrid method. Comput. Electr. Eng. 97 (2022)
Junya Sato, Yuki Suzuki, Tomohiro Wataya, Daiki Nishigaki, Kosuke Kita, Kazuki Yamagata, Noriyuki Tomiyama, Shoji Kido
Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest Radiographs. CoRR (2022)
Junya Sato, Shoji Kido
Large Batch and Patch Size Training for Medical Image Segmentation. CoRR (2022)
Rui Xu, Yufeng Wang, Xinchen Ye, Pengcheng Wu, Yen-Wei Chen, Fangyi Xu, Wenchao Zhu, Chao Chen, Yong Zhou, Hongjie Hu, Xiaofeng Qu, Shoji Kido, Noriyuki Tomiyama
Pixel-Level and Affinity-Level Knowledge Distillation for Unsupervised Segmentation of Covid-19 Lesions. ICASSP (2022)
Zhihui Gao, Ryohei Nakayama, Akiyoshi Hizukuri, Kosuke Shibuya, Shoji Kido
Anomaly Detection for Lung CT Images Using SVDD-AE. GCCE (2022)
Yuto Akita, Ryohei Nakayama, Akiyoshi Hizukuri, Shoji Kido
Anomaly Detection for Lung CT image Using Efficient GAN with Learning Stabilizations. SCIS/ISIS (2022)
Toru Nishino, Yasuhide Miura, Tomoki Taniguchi, Tomoko Ohkuma, Yuki Suzuki, Shoji Kido, Noriyuki Tomiyama
Factual Accuracy is not Enough: Planning Consistent Description Order for Radiology Report Generation. EMNLP (2022)
Shoji Kido, Shunske Kidera, Yasushi Hirano, Shingo Mabu, Tohru Kamiya, Nobuyuki Tanaka, Yuki Suzuki, Yanagawa Masahiro, Noriyuki Tomiyama
Segmentation of Lung Nodules on CT Images Using a Nested Three-Dimensional Fully Connected Convolutional Network. Frontiers Artif. Intell. 5 (2022)
Shingo Mabu, Masashi Miyake, Takashi Kuremoto, Shoji Kido
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. 16 (11) (2021)
Naoki Asatani, Tohru Kamiya, Shingo Mabu, Shoji Kido
Classification of respiratory sounds using improved convolutional recurrent neural network. Comput. Electr. Eng. 94 (2021)
Yuichiro Koizumi, Tohru Kamiya, Takatoshi Aoki, Shoji Kido
Detection of Abnormal Opacity on Chest CT Images Using A 3D-CNN. ICBBE (2021)
Rui Xu, Zhen Cong, Xinchen Ye, Shoji Kido, Noriyuki Tomiyama
Unsupervised Content-Preserved Adaptation Network for Classification of Pulmonary Textures from Different CT Scanners. ICASSP (2020)
Yuki Suzuki, Kazuki Yamagata, Yanagawa Masahiro, Shoji Kido, Noriyuki Tomiyama
Weak supervision in convolutional neural network for semantic segmentation of diffuse lung diseases using partially annotated dataset. Medical Imaging: Computer-Aided Diagnosis (2020)
Guoliang Gong, Lin Lin, Zhaoyang Wu, Rui Xu, Shoji Kido, Yan Hu
Evolutionary Neural Network and Visualization for CNN-based Pulmonary Textures Classification. ICTAI (2020)
Rui Xu, Xiao Cao, Yufeng Wang, Yen-Wei Chen, Xinchen Ye, Lin Lin, Wenchao Zhu, Chao Chen, Fangyi Xu, Yong Zhou, Hongjie Hu, Shoji Kido, Noriyuki Tomiyama
Unsupervised Detection of Pulmonary Opacities for Computer-Aided Diagnosis of COVID-19 on CT Images. ICPR (2020)
Xinchen Ye, Yuyao Xu, Rui Xu, Shoji Kido, Noriyuki Tomiyama
Detail- Revealing Deep Low-Dose CT Reconstruction. ICPR (2020)
Rui Xu, Yi Wang, Tiantian Liu, Xinchen Ye, Lin Lin, Yen-Wei Chen, Shoji Kido, Noriyuki Tomiyama
BG-Net: Boundary-Guided Network for Lung Segmentation on Clinical CT Images. ICPR (2020)
Huimin Lu, Masashi Kondo, Yujie Li, Joo Kooi Tan, Hyoungseop Kim, Seiichi Murakami, Takatoshi Aoki, Shoji Kido
Supervoxel Graph Cuts: An Effective Method for GGO Candidate Regions Extraction on CT Images. IEEE Consumer Electron. Mag. 9 (1) (2020)
Koki Minami, Huimin Lu, Tohru Kamiya, Shingo Mabu, Shoji Kido
Automatic Classification of Respiratory Sounds Based on Convolutional Neural Network with Multi Images. ICBSP (2020)
Shingo Mabu, Ami Atsumo, Shoji Kido, Takashi Kuremoto, Yasushi Hirano
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. 92 (3) (2020)
Rui Xu, Zhen Cong, Xinchen Ye, Yasushi Hirano, Shoji Kido, Tomoko Gyobu, Yutaka Kawata, Osamu Honda, Noriyuki Tomiyama
Pulmonary Textures Classification via a Multi-Scale Attention Network. IEEE J. Biomed. Health Informatics 24 (7) (2020)
Yuriko Yoshino, Huimin Lu, Hyoungseop Kim, Takatoshi Aoki, Shoji Kido
3D-CNN with residual sub-blocks for automatic detection of lung nodules from temporal subtraction images. ICAIIC (2020)
Yuki Suzuki, Kazuki Yamagata, Yanagawa Masahiro, Shoji Kido, Noriyuki Tomiyama
Weak Supervision in Convolutional Neural Network for Semantic Segmentation of Diffuse Lung Diseases Using Partially Annotated Dataset. CoRR (2020)
Mitsuaki Nagao, Huimin Lu, Hyoungseop Kim, Takatoshi Aoki, Shoji Kido
Detection of Abnormal Regions on Temporal Subtraction Images based on CNN. ICBIP (2019)
Huimin Lu, Masashi Kondo, Yujie Li, Joo Kooi Tan, Hyoungseop Kim, Seiichi Murakami, Takotoshi Aoki, Shoji Kido
Extraction of GGO Candidate Regions on Thoracic CT Images using SuperVoxel-Based Graph Cuts for Healthcare Systems. Mob. Networks Appl. 23 (6) (2018)
Shingo Mabu, Shoji Kido, Noriaki Hashimoto, Yasushi Hirano, Takashi Kuremoto
Opacity annotation of diffuse lung diseases using deep convolutional neural network with multi-channel information. Medical Imaging: Computer-Aided Diagnosis (2018)
Aiga Suzuki, Hidenori Sakanashi, Shoji Kido, Hayaru Shouno
Feature Representation Analysis of Deep Convolutional Neural Network using Two-stage Feature Transfer -An Application for Diffuse Lung Disease Classification-. CoRR (2018)
Radin A. Nasirudin, Janne J. Näppi, Chinatsu Watari, Mikio Matsuhiro, Toru Hironaka, Shoji Kido, Hiroyuki Yoshida
Deep radiomic prediction with clinical predictors of the survival in patients with rheumatoid arthritis-associated interstitial lung diseases. Medical Imaging: Computer-Aided Diagnosis (2018)
Rui Xu, Zhen Cong, Xinchen Ye, Yasushi Hirano, Shoji Kido
Pulmonary Textures Classification Using A Deep Neural Network with Appearance and Geometry Cues. ICASSP (2018)
Noriaki Hashimoto, Kenji Suzuki, Junchi Liu, Yasushi Hirano, Heber MacMahon, Shoji Kido
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. Medical Imaging: Computer-Aided Diagnosis (2018)
Shingo Mabu, Masanao Obayashi, Takashi Kuremoto, Noriaki Hashimoto, Yasushi Hirano, Shoji Kido
Unsupervised class labeling of diffuse lung diseases using frequent attribute patterns. Int. J. Comput. Assist. Radiol. Surg. 12 (3) (2017)
Yuriko Yoshino, Takahiro Miyajima, Huimin Lu, Joo Kooi Tan, Hyoungseop Kim, Seiichi Murakami, Takatoshi Aoki, Rie Tachibana, Yasushi Hirano, Shoji Kido
Automatic classification of lung nodules on MDCT images with the temporal subtraction technique. Int. J. Comput. Assist. Radiol. Surg. 12 (10) (2017)
Wei Zhao, Rui Xu, Yasushi Hirano, Rie Tachibana, Shoji Kido
A Sparse Representation Based Method to Classify Pulmonary Patterns of Diffuse Lung Diseases. Comput. Math. Methods Medicine 2015 (2015)
Rui Xu, Satoshi Tanaka, Kyoko Hasegawa, Wang Sheng, Tomoko Tateyama, Yen-Wei Chen, Shoji Kido
Transparent visualization of large-scale and complex polygon meshes using a stochastic point-based rendering method. SIGGRAPH Asia Visualization in High Performance Computing (2015)
Kyohei Karasawa, Shoji Kido, Yasushi Hirano, Kazuki Kozuka
Determination of lung regions on chest ct images with diffuse lung diseases by use of anatomical structures and pulmonary textures. EMBC (2015)
Hayaru Shouno, Satoshi Suzuki, Shoji Kido
A Transfer Learning Method with Deep Convolutional Neural Network for Diffuse Lung Disease Classification. ICONIP (1) (2015)
Keisuke Yokota, Shinya Maeda, Hyoungseop Kim, Joo Kooi Tan, Seiji Ishikawa, Rie Tachibana, Yasushi Hirano, Shoji Kido
Automatic detection of GGO regions on CT images in LIDC dataset based on statistical features. SCIS&ISIS (2014)
Shuji Tanaka, Yuriko Ikeda, Hyoungseop Kim, Joo Kooi Tan, Seiji Ishikawa, Seiichi Murakami, Takatoshi Aoki, Rie Tachibana, Yasushi Hirano, Shoji Kido
Automatic identification of lung candidate nodules on chest CT images based on temporal subtraction images. SCIS&ISIS (2014)
Guangxu Li, Hyoungseop Kim, Joo Kooi Tan, Seiji Ishikawa, Yasushi Hirano, Shoji Kido, Rie Tachibana
Semantic characteristics prediction of pulmonary nodule using Artificial Neural Networks. EMBC (2013)
Wei Zhao, Rui Xu, Yasushi Hirano, Rie Tachibana, Shoji Kido, Narufumi Suganuma
Classification of Pneumoconiosis on HRCT Images for Computer-Aided Diagnosis. IEICE Trans. Inf. Syst. (4) (2013)
Rui Xu, Yasushi Hirano, Rie Tachibana, Shoji Kido
A Bag-of-Features Approach to Classify Six Types of Pulmonary Textures on High-Resolution Computed Tomography. IEICE Trans. Inf. Syst. (4) (2013)
Wei Zhao, Rui Xu, Yasushi Hirano, Rie Tachibana, Shoji Kido
Classification of diffuse lung diseases patterns by a sparse representation based method on HRCT images. EMBC (2013)
Windra Swastika, Yoshitada Masuda, Rui Xu, Shoji Kido, Yen-Wei Chen, Hideaki Haneishi
GND-PCA-Based Statistical Modeling of Diaphragm Motion Extracted from 4D MRI. Comput. Math. Methods Medicine 2013 (2013)
Rui Xu, Xiangrong Zhou, Yasushi Hirano, Rie Tachibana, Takeshi Hara, Shoji Kido, Hiroshi Fujita
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 (2013)
Hiroshi Fujita, Fumio Nogata, Huiyan Jiang, Shoji Kido, T. Feng, Takeshi Hara, Tatsuro Hayashi, Yasushi Hirano, Akitoshi Katsumata, Y. Kawamura, T. Kokubo, J. Liu, Chisako Muramatsu, Hayaru Shouno, Rie Tachibana, X. Wang, F. Xiang, Rui Xu, B. Yang, Y. Yokota, L. Zhang, Q. Li, Z. Guo
Medical image processing and computer-aided detection/diagnosis (CAD). ICCH (2012)
Rui Xu, Yasushi Hirano, Rie Tachibana, Shoji Kido
Classification of Diffuse Lung Disease Patterns on High-Resolution Computed Tomography by a Bag of Words Approach. MICCAI (3) (2011)
Yuki Tanaka, Hayaru Shouno, Shoji Kido
Classification of Idiopathic Interstitial Pneumonia on High-resolution CT Images using Counter-propagation Network. PDPTA (2010)
Masayuki Kuwahara, Shoji Kido, Hayaru Shouno
Classification of patterns for diffuse lung diseases in thoracic CT images by AdaBoost algorithm. Medical Imaging: Computer-Aided Diagnosis (2009)
Shoji Kido, Akinori Tsunomori
Automated extraction of pleural effusion in three-dimensional thoracic CT images. Medical Imaging: Computer-Aided Diagnosis (2009)
Yoshiharu Goto, Hayaru Shouno, Shoji Kido
Analysis of Idiopathic interstitial Pneumonia by Self Organization Map on High-Resolution Computed Tomography Images. PDPTA (2007)
Rie Tachibana, Shoji Kido
Automatic segmentation of pulmonary nodules on CT images by use of NCI lung image database consortium. Medical Imaging: Image Processing (2006)
Taketoshi Orihashi, Hayaru Shouno, Shoji Kido
Discrimination of Lung Sounds Using a Statistics of Waveform Intervals. PDPTA (2006)
Nobuhiro Oda, Shoji Kido, Shoko Yamada, Takatoshi Aoki, Hideyuki Watanabe, Yukunori Korogi, Shigehiko Katsuragawa, Kunio Doi
Computer-aided diagnosis for distinction between benign and malignant pulmonary nodules on chest radiographs using temporal subtraction images. CARS (2004)
Rie Tachibana, Shoji Kido, Nobuyuki Tanaka, Tsuneo Matsumoto
Power spectral analysis of idiopathic interstitial pneumonias in high resolution CT images. CARS (2004)
Rie Tachibana, Shoji Kido, Hayaru Shouno, Tsuneo Matsumoto
Automatic segmentation of small pulmonary nodules on multi detector-row CT images. CARS (2003)
Shoji Kido, Keiko Kuriyama, Naohiro Hosomi, Etsuo Inoue, Chikazumi Kuroda, Takeshi Horai
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 13 (1) (2000)
Takeshi Hara, Hiroshi Fujita, Yongbum Lee, Hitoshi Yoshimura, Shoji Kido
Automated Lesion Detection Methods for 2D and 3D Chest X-Ray Images. ICIAP (1999)
Shoji Kido, Junpei Ikezoe, Shinichi Tamura, Hironobu Nakamura, Chikazumi Kuroda
A computerized analysis system in chest radiography: Evaluation of interstitial lung abnormalities. J. Digit. Imaging 10 (2) (1997)