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Shoji Kido
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2020 – today
- 2024
- [j20]Yuki Sato, Junya Sato
, Noriyuki Tomiyama
High-quality semi-supervised anomaly detection with generative adversarial networks. Int. J. Comput. Assist. Radiol. Surg. 19(11): 2121-2131 (2024) - [j19]Yoshihito Ichiuji, Shingo Mabu
Domain transformation using semi-supervised CycleGAN for improving performance of classifying thyroid tissue images. Int. J. Comput. Assist. Radiol. Surg. 19(11): 2153-2163 (2024) - [j18]Kosuke Kita
Automated entry of paper-based patient-reported outcomes: Applying deep learning to the Japanese orthopaedic association back pain evaluation questionnaire. Comput. Biol. Medicine 172: 108197 (2024) - [c41]Naoya Honda
Classification of Histological Types of Primary Lung Cancer from CT Images Using Clinical Information. ICBET 2024: 128-132 - 2023
- [c40]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. Computer-Aided Diagnosis 2023 - [c39]Keita Otani, Daiki Nishigaki, Taro Hatsutani, Takeshi Takamoto, Yuki Suzuki, Shoji Kido, Noriyuki Tomiyama:
Automatic characterization of liver tumors from multi-phase CT images. Computer-Aided Diagnosis 2023 - [c38]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: 611-621 - [i5]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 abs/2312.04794 (2023) - 2022
- [j17]Jiaqi Wu
Segmentation of liver tumors in multiphase computed tomography images using hybrid method. Comput. Electr. Eng. 97: 107626 (2022) - [j16]Shoji Kido, Shunske Kidera, Yasushi Hirano, Shingo Mabu, Tohru Kamiya, Nobuyuki Tanaka, Yuki Suzuki, Yanagawa Masahiro
Segmentation of Lung Nodules on CT Images Using a Nested Three-Dimensional Fully Connected Convolutional Network. Frontiers Artif. Intell. 5: 782225 (2022) - [c37]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: 7123-7138 - [c36]Zhihui Gao, Ryohei Nakayama, Akiyoshi Hizukuri, Kosuke Shibuya, Shoji Kido:
Anomaly Detection for Lung CT Images Using SVDD-AE. GCCE 2022: 734-735 - [c35]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: 1376-1380 - [c34]Yuto Akita, Ryohei Nakayama, Akiyoshi Hizukuri, Shoji Kido:
Anomaly Detection for Lung CT image Using Efficient GAN with Learning Stabilizations. SCIS/ISIS 2022: 1-2 - [i4]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 abs/2205.04282 (2022) - [i3]Junya Sato
Large Batch and Patch Size Training for Medical Image Segmentation. CoRR abs/2210.13364 (2022) - 2021
- [j15]Shingo Mabu
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): 1925-1935 (2021) - [j14]Naoki Asatani, Tohru Kamiya, Shingo Mabu, Shoji Kido:
Classification of respiratory sounds using improved convolutional recurrent neural network. Comput. Electr. Eng. 94: 107367 (2021) - [c33]Yuichiro Koizumi, Tohru Kamiya, Takatoshi Aoki, Shoji Kido:
Detection of Abnormal Opacity on Chest CT Images Using A 3D-CNN. ICBBE 2021: 26-29 - 2020
- [j13]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): 61-66 (2020) - [j12]Rui Xu
Pulmonary Textures Classification via a Multi-Scale Attention Network. IEEE J. Biomed. Health Informatics 24(7): 2041-2052 (2020) - [j11]Shingo Mabu
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): 307-313 (2020) - [c32]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: 647-652 - [c31]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: 1060-1064 - [c30]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: 17-21 - [c29]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: 8782-8788 - [c28]Xinchen Ye, Yuyao Xu, Rui Xu, Shoji Kido, Noriyuki Tomiyama:
Detail- Revealing Deep Low-Dose CT Reconstruction. ICPR 2020: 8789-8796 - [c27]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: 9007-9014 - [c26]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: 558-563 - [c25]Yuki Suzuki, Kazuki Yamagata, Yanagawa Masahiro
Weak supervision in convolutional neural network for semantic segmentation of diffuse lung diseases using partially annotated dataset. Computer-Aided Diagnosis 2020 - [i2]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 abs/2002.11936 (2020)
2010 – 2019
- 2019
- [c24]Mitsuaki Nagao, Huimin Lu, Hyoungseop Kim, Takatoshi Aoki, Shoji Kido
Detection of Abnormal Regions on Temporal Subtraction Images based on CNN. ICBIP 2019: 83-86 - 2018
- [j10]Huimin Lu
Extraction of GGO Candidate Regions on Thoracic CT Images using SuperVoxel-Based Graph Cuts for Healthcare Systems. Mob. Networks Appl. 23(6): 1669-1679 (2018) - [c23]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: 1025-1029 - [c22]Radin A. Nasirudin, Janne J. Näppi, Chinatsu Watari, Mikio Matsuhiro, Toru Hironaka, Shoji Kido
Deep radiomic prediction with clinical predictors of the survival in patients with rheumatoid arthritis-associated interstitial lung diseases. Computer-Aided Diagnosis 2018: 105753R - [c21]Shingo Mabu, Shoji Kido
Opacity annotation of diffuse lung diseases using deep convolutional neural network with multi-channel information. Computer-Aided Diagnosis 2018: 1057534 - [c20]Noriaki Hashimoto, Kenji Suzuki
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. Computer-Aided Diagnosis 2018: 1057536 - [i1]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 abs/1810.06282 (2018) - 2017
- [j9]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): 519-528 (2017) - [j8]Yuriko Yoshino, Takahiro Miyajima, Huimin Lu
Automatic classification of lung nodules on MDCT images with the temporal subtraction technique. Int. J. Comput. Assist. Radiol. Surg. 12(10): 1789-1798 (2017) - 2015
- [j7]Wei Zhao
A Sparse Representation Based Method to Classify Pulmonary Patterns of Diffuse Lung Diseases. Comput. Math. Methods Medicine 2015: 567932:1-567932:11 (2015) - [c19]Kyohei Karasawa, Shoji Kido
Determination of lung regions on chest ct images with diffuse lung diseases by use of anatomical structures and pulmonary textures. EMBC 2015: 2985-2988 - [c18]Hayaru Shouno, Satoshi Suzuki, Shoji Kido
A Transfer Learning Method with Deep Convolutional Neural Network for Diffuse Lung Disease Classification. ICONIP (1) 2015: 199-207 - [c17]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: 9:1-9:4 - 2014
- [c16]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: 1364-1368 - [c15]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: 1374-1377 - 2013
- [j6]Rui Xu
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: 196259:1-196259:9 (2013) - [j5]Windra Swastika
GND-PCA-Based Statistical Modeling of Diaphragm Motion Extracted from 4D MRI. Comput. Math. Methods Medicine 2013: 482941:1-482941:9 (2013) - [j4]Wei Zhao, Rui Xu, Yasushi Hirano, Rie Tachibana, Shoji Kido
Classification of Pneumoconiosis on HRCT Images for Computer-Aided Diagnosis. IEICE Trans. Inf. Syst. 96-D(4): 836-844 (2013) - [j3]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. 96-D(4): 845-855 (2013) - [c14]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: 5457-5460 - [c13]Guangxu Li, Hyoungseop Kim, Joo Kooi Tan, Seiji Ishikawa, Yasushi Hirano, Shoji Kido
Semantic characteristics prediction of pulmonary nodule using Artificial Neural Networks. EMBC 2013: 5465-5468 - 2012
- [c12]Hiroshi Fujita, Fumio Nogata, Huiyan Jiang, Shoji Kido
Medical image processing and computer-aided detection/diagnosis (CAD). ICCH 2012: 66-71 - 2011
- [c11]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: 183-190 - 2010
- [c10]Yuki Tanaka, Hayaru Shouno, Shoji Kido:
Classification of Idiopathic Interstitial Pneumonia on High-resolution CT Images using Counter-propagation Network. PDPTA 2010: 652-657
2000 – 2009
- 2009
- [c9]Shoji Kido
Automated extraction of pleural effusion in three-dimensional thoracic CT images. Computer-Aided Diagnosis 2009: 72600D - [c8]Masayuki Kuwahara, Shoji Kido
Classification of patterns for diffuse lung diseases in thoracic CT images by AdaBoost algorithm. Computer-Aided Diagnosis 2009: 726037 - 2007
- [c7]Yoshiharu Goto, Hayaru Shouno, Shoji Kido:
Analysis of Idiopathic interstitial Pneumonia by Self Organization Map on High-Resolution Computed Tomography Images. PDPTA 2007: 753-758 - 2006
- [c6]Rie Tachibana, Shoji Kido
Automatic segmentation of pulmonary nodules on CT images by use of NCI lung image database consortium. Image Processing 2006: 61440M - [c5]Taketoshi Orihashi, Hayaru Shouno, Shoji Kido:
Discrimination of Lung Sounds Using a Statistics of Waveform Intervals. PDPTA 2006: 813-817 - 2004
- [c4]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: 911-916 - [c3]Rie Tachibana, Shoji Kido, Nobuyuki Tanaka, Tsuneo Matsumoto:
Power spectral analysis of idiopathic interstitial pneumonias in high resolution CT images. CARS 2004: 961-966 - 2003
- [c2]Rie Tachibana, Shoji Kido, Hayaru Shouno, Tsuneo Matsumoto:
Automatic segmentation of small pulmonary nodules on multi detector-row CT images. CARS 2003: 1389 - 2000
- [j2]Shoji Kido
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): 33-37 (2000)
1990 – 1999
- 1999
- [c1]Takeshi Hara, Hiroshi Fujita, Yongbum Lee
Automated Lesion Detection Methods for 2D and 3D Chest X-Ray Images. ICIAP 1999: 768-773 - 1997
- [j1]Shoji Kido
A computerized analysis system in chest radiography: Evaluation of interstitial lung abnormalities. J. Digit. Imaging 10(2): 57-64 (1997)
Coauthor Index
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last updated on 2024-12-02 21:28 CET by the dblp team
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