Noriyuki Tomiyama

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 20

Top Topics

Semantic Segmentation

Statistical Shape Model

Top Venues

Int. J. Comput. Assist. Radiol. Surg.

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)
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)
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)
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)
Kento Sugimoto, Toshihiro Takeda, Jong-Hoon Oh, Shoya Wada, Shozo Konishi, Asuka Yamahata, Shiro Manabe, Noriyuki Tomiyama, Takashi Matsunaga, Katsuyuki Nakanishi, Yasushi Matsumura
Extracting clinical terms from radiology reports with deep learning. J. Biomed. Informatics 116 (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)
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)
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)
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)
Yuchen Wang, Ze Jin, Yukiko Tokuda, Yasuto Naoi, Noriyuki Tomiyama, Kenji Suzuki
Development of Deep-learning Segmentation for Breast Cancer in MR Images based on Neural Network Convolution. ICCPR (2019)
Mazen Soufi, Yoshito Otake, Masatoshi Hori, Kazuya Moriguchi, Yasuharu Imai, Yoshiyuki Sawai, Takashi Ota, Noriyuki Tomiyama, Yoshinobu Sato
Liver shape analysis using partial least squares regression-based statistical shape model: application for understanding and staging of liver fibrosis. Int. J. Comput. Assist. Radiol. Surg. 14 (12) (2019)
Shunta Hirayama, Yoshito Otake, Toshiyuki Okada, Masatoshi Hori, Noriyuki Tomiyama, Yoshinobu Sato
Automated segmentation of upper digestive tract from abdominal contrast-enhanced CT data using hierarchical statistical modeling of organ interrelations. Medical Imaging: Image Processing (2016)
Yoshiyuki Kagiyama, Itaru Otomaru, Masaki Takao, Nobuhiko Sugano, Masahiko Nakamoto, Futoshi Yokota, Noriyuki Tomiyama, Yukio Tada, Yoshinobu Sato
CT-based automated planning of acetabular cup for total hip arthroplasty (THA) based on hybrid use of two statistical atlases. Int. J. Comput. Assist. Radiol. Surg. 11 (12) (2016)
Toshiyuki Okada, Marius George Linguraru, Masatoshi Hori, Ronald M. Summers, Noriyuki Tomiyama, Yoshinobu Sato
Abdominal multi-organ segmentation from CT images using conditional shape-location and unsupervised intensity priors. Medical Image Anal. 26 (1) (2015)
Amir Hossein Foruzan, Yen-Wei Chen, Masatoshi Hori, Yoshinobu Sato, Noriyuki Tomiyama
Capturing large shape variations of liver using population-based statistical shape models. Int. J. Comput. Assist. Radiol. Surg. 9 (6) (2014)
Junping Deng, Xian-Hua Han, Yen-Wei Chen, Gang Xu, Yoshinobu Sato, Masatoshi Hori, Noriyuki Tomiyama
Sparse and Low-Rank Matrix Decomposition for Local Morphological Analysis to Diagnose Cirrhosis. IEICE Trans. Inf. Syst. (12) (2014)
Toshiyuki Okada, Marius George Linguraru, Masatoshi Hori, Ronald M. Summers, Noriyuki Tomiyama, Yoshinobu Sato
Abdominal Multi-organ CT Segmentation Using Organ Correlation Graph and Prediction-Based Shape and Location Priors. MICCAI (3) (2013)
Amir Hossein Foruzan, Yen-Wei Chen, Reza Aghaeizadeh Zoroofi, Akira Furukawa, Yoshinobu Sato, Masatoshi Hori, Noriyuki Tomiyama
Segmentation of Liver in Low-Contrast Images Using K-Means Clustering and Geodesic Active Contour Algorithms. IEICE Trans. Inf. Syst. (4) (2013)
Yoshiyuki Kagiyama, Masaki Takao, Nobuhiko Sugano, Yukio Tada, Noriyuki Tomiyama, Yoshinobu Sato
Optimization of surgical planning of total hip arthroplasty based on computational anatomy. EMBC (2013)
Futoshi Yokota, Toshiyuki Okada, Masaki Takao, Nobuhiko Sugano, Yukio Tada, Noriyuki Tomiyama, Yoshinobu Sato
Automated CT Segmentation of Diseased Hip Using Hierarchical and Conditional Statistical Shape Models. MICCAI (2) (2013)
Dipti Prasad Mukherjee, Keisuke Higashiura, Toshiyuki Okada, Masatoshi Hori, Yen-Wei Chen, Noriyuki Tomiyama, Yoshinobu Sato
Utilizing Disease-Specific Organ Shape Components for Disease Discrimination: Application to Discrimination of Chronic Liver Disease from CT Data. MICCAI (1) (2013)
Toshiyuki Okada, Marius George Linguraru, Masatoshi Hori, Yuki Suzuki, Ronald M. Summers, Noriyuki Tomiyama, Yoshinobu Sato
Multi-organ segmentation in abdominal CT images. EMBC (2012)
Itaru Otomaru, Masahiko Nakamoto, Yoshiyuki Kagiyama, Masaki Takao, Nobuhiko Sugano, Noriyuki Tomiyama, Yukio Tada, Yoshinobu Sato
Automated preoperative planning of femoral stem in total hip arthroplasty from 3D CT data: Atlas-based approach and comparative study. Medical Image Anal. 16 (2) (2012)
Yuki Suzuki, Toshiyuki Okada, Masatoshi Hori, Futoshi Yokota, Marius George Linguraru, Noriyuki Tomiyama, Yoshinobu Sato
Automated Segmentation and Anatomical Labeling of Abdominal Arteries Based on Multi-organ Segmentation from Contrast-Enhanced CT Data. CLIP (2012)
Toshiyuki Okada, Marius George Linguraru, Yasuhide Yoshida, Masatoshi Hori, Ronald M. Summers, Yen-Wei Chen, Noriyuki Tomiyama, Yoshinobu Sato
Abdominal Multi-Organ Segmentation of CT Images Based on Hierarchical Spatial Modeling of Organ Interrelations. Abdominal Imaging (2011)
Shuji Yamamoto, Seiki Hamada, Takeshi Johkoh, Tomoo Inoue, Yasuhiro Tamaki, Sachiko Murai, Noriyuki Tomiyama, Kaname Tomoda, Hironobu Nakamura
Three-dimensional image processing for breast cancer using multislice CT. CARS (2003)
Kazuyoshi Hidaka, Yasuhiko Okura, Takeshi Johkoh, Seiki Hamada, Noriyuki Tomiyama, Osamu Honda, Takenori Kozuka, N. Mihara, Mitsuhiro Koyama, Mitsuko Tsubamoto, M. Maeda, Kiyonari Inamura, Hironobu Nakamura, Keiichi Fujiwara, H. Saki
Time study of computer aided diagnosis - a preliminary results on temporal subtraction. CARS (2001)
Takeshi Johkoh, Mitsuko Tsubamoto, Takenori Kozuka, Noriyuki Tomiyama, Seiki Hamada, Osamu Honda, Mitsuhiro Koyama, Hironobu Nakamura, Keiichi Fujiwara
Temporal subtraction for the detection of ground-glass shadow on chest radiographs: evaluation of the first commercially available robustic computer-aided diagnostic system. CARS (2001)