| 2025 | SMC | Classification of Respiratory Sounds Based on Hybrid Convolutional Recurrent Neural Network. | Naoki Asatani, Tohru Kamiya, Shingo Mabu, Shoji Kido |
| 2023 | MICCAI | 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 |
| 2022 | EMNLP | 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 |
| 2022 | ICASSP | Pixel-Level and Affinity-Level Knowledge Distillation for Unsupervised Segmentation of Covid-19 Lesions. | 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 |
| 2020 | ICASSP | Unsupervised Content-Preserved Adaptation Network for Classification of Pulmonary Textures from Different CT Scanners. | Rui Xu, Zhen Cong, Xinchen Ye, Shoji Kido, Noriyuki Tomiyama |
| 2020 | ICPR | Unsupervised Detection of Pulmonary Opacities for Computer-Aided Diagnosis of COVID-19 on CT Images. | 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 | ICPR | BG-Net: Boundary-Guided Network for Lung Segmentation on Clinical CT Images. | Rui Xu, Yi Wang, Tiantian Liu, Xinchen Ye, Lin Lin, Yen-Wei Chen, Shoji Kido, Noriyuki Tomiyama |
| 2020 | ICPR | Detail- Revealing Deep Low-Dose CT Reconstruction. | Xinchen Ye, Yuyao Xu, Rui Xu, Shoji Kido, Noriyuki Tomiyama |
| 2020 | ICTAI | Evolutionary Neural Network and Visualization for CNN-based Pulmonary Textures Classification. | Guoliang Gong, Lin Lin, Zhaoyang Wu, Rui Xu, Shoji Kido, Yan Hu |
| 2018 | ICASSP | Pulmonary Textures Classification Using A Deep Neural Network with Appearance and Geometry Cues. | Rui Xu, Zhen Cong, Xinchen Ye, Yasushi Hirano, Shoji Kido |
| 2015 | ICONIP | A Transfer Learning Method with Deep Convolutional Neural Network for Diffuse Lung Disease Classification. | Hayaru Shouno, Satoshi Suzuki, Shoji Kido |
| 2015 | SIGGRAPH | Transparent visualization of large-scale and complex polygon meshes using a stochastic point-based rendering method. | Rui Xu, Satoshi Tanaka, Kyoko Hasegawa, Wang Sheng, Tomoko Tateyama, Yen-Wei Chen, Shoji Kido |
| 2011 | MICCAI | Classification of Diffuse Lung Disease Patterns on High-Resolution Computed Tomography by a Bag of Words Approach. | Rui Xu, Yasushi Hirano, Rie Tachibana, Shoji Kido |
| 2010 | PDPTA | Classification of Idiopathic Interstitial Pneumonia on High-resolution CT Images using Counter-propagation Network. | Yuki Tanaka, Hayaru Shouno, Shoji Kido |
| 2007 | PDPTA | Analysis of Idiopathic interstitial Pneumonia by Self Organization Map on High-Resolution Computed Tomography Images. | Yoshiharu Goto, Hayaru Shouno, Shoji Kido |
| 2006 | PDPTA | Discrimination of Lung Sounds Using a Statistics of Waveform Intervals. | Taketoshi Orihashi, Hayaru Shouno, Shoji Kido |
| 1999 | ICIAP | Automated Lesion Detection Methods for 2D and 3D Chest X-Ray Images. | Takeshi Hara, Hiroshi Fujita, Yongbum Lee, Hitoshi Yoshimura, Shoji Kido |