Shoji Kido - RankMe

70 papers A* 1B 6Misc 7Journal 28Unranked 28

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Automated Detection of Cancer-Suspicious Findings in Japanese Radiology Reports with Natural Language Processing: A Multicenter Study. J. Imaging Inform. Medicine Kento Sugimoto, Shoya Wada, Shozo Konishi, Junya Sato, Katsuki Okada, Shoji Kido, Noriyuki Tomiyama, Yasushi Matsumura, Toshihiro Takeda
2025	B	`conf`	Classification of Respiratory Sounds Based on Hybrid Convolutional Recurrent Neural Network. SMC Naoki Asatani, Tohru Kamiya, Shingo Mabu, Shoji Kido
2025	J	`jnl`	Comparison of active learning algorithms in classifying head computed tomography reports using bidirectional encoder representations from transformers. Int. J. Comput. Assist. Radiol. Surg. Tomohiro Wataya, Azusa Miura, Takahisa Sakisuka, Masahiro Fujiwara, Hisashi Tanaka, Yu Hiraoka, Junya Sato, Miyuki Tomiyama, Daiki Nishigaki, Kosuke Kita, Yuki Suzuki, Shoji Kido, Noriyuki Tomiyama
2025	J	`jnl`	Feature Separation in Diffuse Lung Disease Image Classification by Using Evolutionary Algorithm-Based NAS. IEEE J. Biomed. Health Informatics Qing Zhang, Dan Shao, Lin Lin, Guoliang Gong, Rui Xu, Shoji Kido, Hongwei Cui
2024	J	`jnl`	Automated entry of paper-based patient-reported outcomes: Applying deep learning to the Japanese orthopaedic association back pain evaluation questionnaire. Comput. Biol. Medicine 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
2024	—	`conf`	Classification of Histological Types of Primary Lung Cancer from CT Images Using Clinical Information. ICBET Naoya Honda, Tohru Kamiya, Shoji Kido
2024	J	`jnl`	Domain transformation using semi-supervised CycleGAN for improving performance of classifying thyroid tissue images. Int. J. Comput. Assist. Radiol. Surg. Yoshihito Ichiuji, Shingo Mabu, Satomi Hatta, Kunihiro Inai, Shohei Higuchi, Shoji Kido
2024	J	`jnl`	High-quality semi-supervised anomaly detection with generative adversarial networks. Int. J. Comput. Assist. Radiol. Surg. Yuki Sato, Junya Sato, Noriyuki Tomiyama, Shoji Kido
2023	—	`conf`	Automatic characterization of liver tumors from multi-phase CT images. Computer-Aided Diagnosis Keita Otani, Daiki Nishigaki, Taro Hatsutani, Takeshi Takamoto, Yuki Suzuki, Shoji Kido, Noriyuki Tomiyama
2023	—	`conf`	Bi-modal network combining convolutional neural network and TabNet, differentiating spinal tumors based on images and clinical risk factors. Computer-Aided Diagnosis Kosuke Kita, Takahito Fujimori, Yuki Suzuki, Seiji Okada, Shoji Kido
2023	—	`conf`	Visual Grounding of Whole Radiology Reports for 3D CT Images. MICCAI (5) Akimichi Ichinose, Taro Hatsutani, Keigo Nakamura, Yoshiro Kitamura, Satoshi Iizuka, Edgar Simo-Serra, Shoji Kido, Noriyuki Tomiyama
2023	J	`jnl`	Visual Grounding of Whole Radiology Reports for 3D CT Images. CoRR Akimichi Ichinose, Taro Hatsutani, Keigo Nakamura, Yoshiro Kitamura, Satoshi Iizuka, Edgar Simo-Serra, Shoji Kido, Noriyuki Tomiyama
2022	J	`jnl`	Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest Radiographs. CoRR Junya Sato, Yuki Suzuki, Tomohiro Wataya, Daiki Nishigaki, Kosuke Kita, Kazuki Yamagata, Noriyuki Tomiyama, Shoji Kido
2022	—	`conf`	Anomaly Detection for Lung CT Images Using SVDD-AE. GCCE Zhihui Gao, Ryohei Nakayama, Akiyoshi Hizukuri, Kosuke Shibuya, Shoji Kido
2022	—	`conf`	Anomaly Detection for Lung CT image Using Efficient GAN with Learning Stabilizations. SCIS/ISIS Yuto Akita, Ryohei Nakayama, Akiyoshi Hizukuri, Shoji Kido
2022	A*	`conf`	Factual Accuracy is not Enough: Planning Consistent Description Order for Radiology Report Generation. EMNLP Toru Nishino, Yasuhide Miura, Tomoki Taniguchi, Tomoko Ohkuma, Yuki Suzuki, Shoji Kido, Noriyuki Tomiyama
2022	J	`jnl`	Large Batch and Patch Size Training for Medical Image Segmentation. CoRR Junya Sato, Shoji Kido
2022	Misc	`conf`	Pixel-Level and Affinity-Level Knowledge Distillation for Unsupervised Segmentation of Covid-19 Lesions. ICASSP 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
2022	J	`jnl`	Segmentation of Lung Nodules on CT Images Using a Nested Three-Dimensional Fully Connected Convolutional Network. Frontiers Artif. Intell. Shoji Kido, Shunske Kidera, Yasushi Hirano, Shingo Mabu, Tohru Kamiya, Nobuyuki Tanaka, Yuki Suzuki, Yanagawa Masahiro, Noriyuki Tomiyama
2022	J	`jnl`	Segmentation of liver tumors in multiphase computed tomography images using hybrid method. Comput. Electr. Eng. Jiaqi Wu, Muki Furuzuki, Guangxu Li, Tohru Kamiya, Shingo Mabu, Masahiro Tanabe, Katsuyoshi Ito, Shoji Kido
2021	J	`jnl`	Classification of respiratory sounds using improved convolutional recurrent neural network. Comput. Electr. Eng. Naoki Asatani, Tohru Kamiya, Shingo Mabu, Shoji Kido
2021	—	`conf`	Detection of Abnormal Opacity on Chest CT Images Using A 3D-CNN. ICBBE Yuichiro Koizumi, Tohru Kamiya, Takatoshi Aoki, Shoji Kido
2021	J	`jnl`	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. Shingo Mabu, Masashi Miyake, Takashi Kuremoto, Shoji Kido
2020	—	`conf`	3D-CNN with residual sub-blocks for automatic detection of lung nodules from temporal subtraction images. ICAIIC Yuriko Yoshino, Huimin Lu, Hyoungseop Kim, Takatoshi Aoki, Shoji Kido
2020	—	`conf`	Automatic Classification of Respiratory Sounds Based on Convolutional Neural Network with Multi Images. ICBSP Koki Minami, Huimin Lu, Tohru Kamiya, Shingo Mabu, Shoji Kido
2020	B	`conf`	BG-Net: Boundary-Guided Network for Lung Segmentation on Clinical CT Images. ICPR Rui Xu, Yi Wang, Tiantian Liu, Xinchen Ye, Lin Lin, Yen-Wei Chen, Shoji Kido, Noriyuki Tomiyama
2020	B	`conf`	Detail- Revealing Deep Low-Dose CT Reconstruction. ICPR Xinchen Ye, Yuyao Xu, Rui Xu, Shoji Kido, Noriyuki Tomiyama
2020	B	`conf`	Evolutionary Neural Network and Visualization for CNN-based Pulmonary Textures Classification. ICTAI Guoliang Gong, Lin Lin, Zhaoyang Wu, Rui Xu, Shoji Kido, Yan Hu
2020	J	`jnl`	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. Shingo Mabu, Ami Atsumo, Shoji Kido, Takashi Kuremoto, Yasushi Hirano
2020	J	`jnl`	Pulmonary Textures Classification via a Multi-Scale Attention Network. IEEE J. Biomed. Health Informatics Rui Xu, Zhen Cong, Xinchen Ye, Yasushi Hirano, Shoji Kido, Tomoko Gyobu, Yutaka Kawata, Osamu Honda, Noriyuki Tomiyama
2020	J	`jnl`	Supervoxel Graph Cuts: An Effective Method for GGO Candidate Regions Extraction on CT Images. IEEE Consumer Electron. Mag. Huimin Lu, Masashi Kondo, Yujie Li, Joo Kooi Tan, Hyoungseop Kim, Seiichi Murakami, Takatoshi Aoki, Shoji Kido
2020	Misc	`conf`	Unsupervised Content-Preserved Adaptation Network for Classification of Pulmonary Textures from Different CT Scanners. ICASSP Rui Xu, Zhen Cong, Xinchen Ye, Shoji Kido, Noriyuki Tomiyama
2020	B	`conf`	Unsupervised Detection of Pulmonary Opacities for Computer-Aided Diagnosis of COVID-19 on CT Images. ICPR 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
2020	J	`jnl`	Weak Supervision in Convolutional Neural Network for Semantic Segmentation of Diffuse Lung Diseases Using Partially Annotated Dataset. CoRR Yuki Suzuki, Kazuki Yamagata, Yanagawa Masahiro, Shoji Kido, Noriyuki Tomiyama
2020	—	`conf`	Weak supervision in convolutional neural network for semantic segmentation of diffuse lung diseases using partially annotated dataset. Computer-Aided Diagnosis Yuki Suzuki, Kazuki Yamagata, Yanagawa Masahiro, Shoji Kido, Noriyuki Tomiyama
2019	—	`conf`	Detection of Abnormal Regions on Temporal Subtraction Images based on CNN. ICBIP Mitsuaki Nagao, Huimin Lu, Hyoungseop Kim, Takatoshi Aoki, Shoji Kido
2018	—	`conf`	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 Noriaki Hashimoto, Kenji Suzuki, Junchi Liu, Yasushi Hirano, Heber MacMahon, Shoji Kido
2018	—	`conf`	Deep radiomic prediction with clinical predictors of the survival in patients with rheumatoid arthritis-associated interstitial lung diseases. Computer-Aided Diagnosis Radin A. Nasirudin, Janne J. Näppi, Chinatsu Watari, Mikio Matsuhiro, Toru Hironaka, Shoji Kido, Hiroyuki Yoshida
2018	J	`jnl`	Extraction of GGO Candidate Regions on Thoracic CT Images using SuperVoxel-Based Graph Cuts for Healthcare Systems. Mob. Networks Appl. Huimin Lu, Masashi Kondo, Yujie Li, Joo Kooi Tan, Hyoungseop Kim, Seiichi Murakami, Takotoshi Aoki, Shoji Kido
2018	J	`jnl`	Feature Representation Analysis of Deep Convolutional Neural Network using Two-stage Feature Transfer -An Application for Diffuse Lung Disease Classification-. CoRR Aiga Suzuki, Hidenori Sakanashi, Shoji Kido, Hayaru Shouno
2018	—	`conf`	Opacity annotation of diffuse lung diseases using deep convolutional neural network with multi-channel information. Computer-Aided Diagnosis Shingo Mabu, Shoji Kido, Noriaki Hashimoto, Yasushi Hirano, Takashi Kuremoto
2018	Misc	`conf`	Pulmonary Textures Classification Using A Deep Neural Network with Appearance and Geometry Cues. ICASSP Rui Xu, Zhen Cong, Xinchen Ye, Yasushi Hirano, Shoji Kido
2017	J	`jnl`	Automatic classification of lung nodules on MDCT images with the temporal subtraction technique. Int. J. Comput. Assist. Radiol. Surg. Yuriko Yoshino, Takahiro Miyajima, Huimin Lu, Joo Kooi Tan, Hyoungseop Kim, Seiichi Murakami, Takatoshi Aoki, Rie Tachibana, Yasushi Hirano, Shoji Kido
2017	J	`jnl`	Unsupervised class labeling of diffuse lung diseases using frequent attribute patterns. Int. J. Comput. Assist. Radiol. Surg. Shingo Mabu, Masanao Obayashi, Takashi Kuremoto, Noriaki Hashimoto, Yasushi Hirano, Shoji Kido
2015	J	`jnl`	A Sparse Representation Based Method to Classify Pulmonary Patterns of Diffuse Lung Diseases. Comput. Math. Methods Medicine Wei Zhao, Rui Xu, Yasushi Hirano, Rie Tachibana, Shoji Kido
2015	—	`conf`	A Transfer Learning Method with Deep Convolutional Neural Network for Diffuse Lung Disease Classification. ICONIP (1) Hayaru Shouno, Satoshi Suzuki, Shoji Kido
2015	—	`conf`	Determination of lung regions on chest ct images with diffuse lung diseases by use of anatomical structures and pulmonary textures. EMBC Kyohei Karasawa, Shoji Kido, Yasushi Hirano, Kazuki Kozuka
2015	—	`conf`	Transparent visualization of large-scale and complex polygon meshes using a stochastic point-based rendering method. SIGGRAPH Asia Visualization in High Performance Computing Rui Xu, Satoshi Tanaka, Kyoko Hasegawa, Wang Sheng, Tomoko Tateyama, Yen-Wei Chen, Shoji Kido
2014	—	`conf`	Automatic detection of GGO regions on CT images in LIDC dataset based on statistical features. SCIS&ISIS Keisuke Yokota, Shinya Maeda, Hyoungseop Kim, Joo Kooi Tan, Seiji Ishikawa, Rie Tachibana, Yasushi Hirano, Shoji Kido
2014	—	`conf`	Automatic identification of lung candidate nodules on chest CT images based on temporal subtraction images. SCIS&ISIS Shuji Tanaka, Yuriko Ikeda, Hyoungseop Kim, Joo Kooi Tan, Seiji Ishikawa, Seiichi Murakami, Takatoshi Aoki, Rie Tachibana, Yasushi Hirano, Shoji Kido
2013	J	`jnl`	A Bag-of-Features Approach to Classify Six Types of Pulmonary Textures on High-Resolution Computed Tomography. IEICE Trans. Inf. Syst. Rui Xu, Yasushi Hirano, Rie Tachibana, Shoji Kido
2013	J	`jnl`	Classification of Pneumoconiosis on HRCT Images for Computer-Aided Diagnosis. IEICE Trans. Inf. Syst. Wei Zhao, Rui Xu, Yasushi Hirano, Rie Tachibana, Shoji Kido, Narufumi Suganuma
2013	—	`conf`	Classification of diffuse lung diseases patterns by a sparse representation based method on HRCT images. EMBC Wei Zhao, Rui Xu, Yasushi Hirano, Rie Tachibana, Shoji Kido
2013	J	`jnl`	GND-PCA-Based Statistical Modeling of Diaphragm Motion Extracted from 4D MRI. Comput. Math. Methods Medicine Windra Swastika, Yoshitada Masuda, Rui Xu, Shoji Kido, Yen-Wei Chen, Hideaki Haneishi
2013	J	`jnl`	Particle System Based Adaptive Sampling on Spherical Parameter Space to Improve the MDL Method for Construction of Statistical Shape Models. Comput. Math. Methods Medicine Rui Xu, Xiangrong Zhou, Yasushi Hirano, Rie Tachibana, Takeshi Hara, Shoji Kido, Hiroshi Fujita
2013	—	`conf`	Semantic characteristics prediction of pulmonary nodule using Artificial Neural Networks. EMBC Guangxu Li, Hyoungseop Kim, Joo Kooi Tan, Seiji Ishikawa, Yasushi Hirano, Shoji Kido, Rie Tachibana
2012	—	`conf`	Medical image processing and computer-aided detection/diagnosis (CAD). ICCH 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, Yasunari Yokota, L. Zhang, Q. Li, Z. Guo
2011	—	`conf`	Classification of Diffuse Lung Disease Patterns on High-Resolution Computed Tomography by a Bag of Words Approach. MICCAI (3) Rui Xu, Yasushi Hirano, Rie Tachibana, Shoji Kido
2010	Misc	`conf`	Classification of Idiopathic Interstitial Pneumonia on High-resolution CT Images using Counter-propagation Network. PDPTA Yuki Tanaka, Hayaru Shouno, Shoji Kido
2009	—	`conf`	Automated extraction of pleural effusion in three-dimensional thoracic CT images. Computer-Aided Diagnosis Shoji Kido, Akinori Tsunomori
2009	—	`conf`	Classification of patterns for diffuse lung diseases in thoracic CT images by AdaBoost algorithm. Computer-Aided Diagnosis Masayuki Kuwahara, Shoji Kido, Hayaru Shouno
2007	Misc	`conf`	Analysis of Idiopathic interstitial Pneumonia by Self Organization Map on High-Resolution Computed Tomography Images. PDPTA Yoshiharu Goto, Hayaru Shouno, Shoji Kido
2006	B	`conf`	Automatic segmentation of pulmonary nodules on CT images by use of NCI lung image database consortium. Image Processing Rie Tachibana, Shoji Kido
2006	Misc	`conf`	Discrimination of Lung Sounds Using a Statistics of Waveform Intervals. PDPTA Taketoshi Orihashi, Hayaru Shouno, Shoji Kido
2004	—	`conf`	Computer-aided diagnosis for distinction between benign and malignant pulmonary nodules on chest radiographs using temporal subtraction images. CARS Nobuhiro Oda, Shoji Kido, Shoko Yamada, Takatoshi Aoki, Hideyuki Watanabe, Yukunori Korogi, Shigehiko Katsuragawa, Kunio Doi
2004	—	`conf`	Power spectral analysis of idiopathic interstitial pneumonias in high resolution CT images. CARS Rie Tachibana, Shoji Kido, Nobuyuki Tanaka, Tsuneo Matsumoto
2003	—	`conf`	Automatic segmentation of small pulmonary nodules on multi detector-row CT images. CARS Rie Tachibana, Shoji Kido, Hayaru Shouno, Tsuneo Matsumoto
2000	J	`jnl`	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 Shoji Kido, Keiko Kuriyama, Naohiro Hosomi, Etsuo Inoue, Chikazumi Kuroda, Takeshi Horai
1999	Misc	`conf`	Automated Lesion Detection Methods for 2D and 3D Chest X-Ray Images. ICIAP Takeshi Hara, Hiroshi Fujita, Yongbum Lee, Hitoshi Yoshimura, Shoji Kido
1997	J	`jnl`	A computerized analysis system in chest radiography: Evaluation of interstitial lung abnormalities. J. Digit. Imaging Shoji Kido, Junpei Ikezoe, Shinichi Tamura, Hironobu Nakamura, Chikazumi Kuroda