Time study of computer aided diagnosis - a preliminary results on temporal subtraction. - Kazuyoshi Hidaka; Yasuhiko Okura; Takeshi Johkoh; Seiki Hamada; Noriyuki Tomiyama; Osamu Honda; Takenori Kozuka; N. Mihara; Mitsuhiro Koyama; Mitsuko Tsubamoto; M. Maeda; Kiyonari Inamura; et al. (CARS, 2001)

Temporal subtraction for the detection of ground-glass shadow on chest radiographs: evaluation of the first commercially available robustic computer-aided diagnostic system. - Takeshi Johkoh; Mitsuko Tsubamoto; Takenori Kozuka; Noriyuki Tomiyama; Seiki Hamada; Osamu Honda; Mitsuhiro Koyama; Hironobu Nakamura; Keiichi Fujiwara (CARS, 2001)

Three-dimensional image processing for breast cancer using multislice CT. - Shuji Yamamoto; Seiki Hamada; Takeshi Johkoh; Tomoo Inoue; Yasuhiro Tamaki; Sachiko Murai; Noriyuki Tomiyama; Kaname Tomoda; Hironobu Nakamura (CARS, 2003)

Abdominal Multi-Organ Segmentation of CT Images Based on Hierarchical Spatial Modeling of Organ Interrelations. - Toshiyuki Okada; Marius George Linguraru; Yasuhide Yoshida; Masatoshi Hori; Ronald M. Summers; Yen-Wei Chen 001; Noriyuki Tomiyama; Yoshinobu Sato (Abdominal Imaging, 2011)

Multi-organ segmentation in abdominal CT images. - Toshiyuki Okada; Marius George Linguraru; Masatoshi Hori; Yuki Suzuki; Ronald M. Summers; Noriyuki Tomiyama; Yoshinobu Sato (EMBC, 2012)

Automated Segmentation and Anatomical Labeling of Abdominal Arteries Based on Multi-organ Segmentation from Contrast-Enhanced CT Data. - Yuki Suzuki; Toshiyuki Okada; Masatoshi Hori; Futoshi Yokota; Marius George Linguraru; Noriyuki Tomiyama; Yoshinobu Sato (CLIP, 2012)

Automated preoperative planning of femoral stem in total hip arthroplasty from 3D CT data: Atlas-based approach and comparative study. - Itaru Otomaru; Masahiko Nakamoto; Yoshiyuki Kagiyama; Masaki Takao; Nobuhiko Sugano; Noriyuki Tomiyama; Yukio Tada; Yoshinobu Sato (Medical Image Anal., 2012)

Optimization of surgical planning of total hip arthroplasty based on computational anatomy. - Yoshiyuki Kagiyama; Masaki Takao; Nobuhiko Sugano; Yukio Tada; Noriyuki Tomiyama; Yoshinobu Sato (EMBC, 2013)

Utilizing Disease-Specific Organ Shape Components for Disease Discrimination: Application to Discrimination of Chronic Liver Disease from CT Data. - Dipti Prasad Mukherjee; Keisuke Higashiura; Toshiyuki Okada; Masatoshi Hori; Yen-Wei Chen 001; Noriyuki Tomiyama; Yoshinobu Sato (MICCAI (1), 2013)

Abdominal Multi-organ CT Segmentation Using Organ Correlation Graph and Prediction-Based Shape and Location Priors. - Toshiyuki Okada; Marius George Linguraru; Masatoshi Hori; Ronald M. Summers; Noriyuki Tomiyama; Yoshinobu Sato (MICCAI (3), 2013)

Automated CT Segmentation of Diseased Hip Using Hierarchical and Conditional Statistical Shape Models. - Futoshi Yokota; Toshiyuki Okada; Masaki Takao; Nobuhiko Sugano; Yukio Tada; Noriyuki Tomiyama; Yoshinobu Sato (MICCAI (2), 2013)

Segmentation of Liver in Low-Contrast Images Using K-Means Clustering and Geodesic Active Contour Algorithms. - Amir Hossein Foruzan; Yen-Wei Chen 001; Reza Aghaeizadeh Zoroofi; Akira Furukawa; Yoshinobu Sato; Masatoshi Hori; Noriyuki Tomiyama (IEICE Trans. Inf. Syst., 2013)

Capturing large shape variations of liver using population-based statistical shape models. - Amir Hossein Foruzan; Yen-Wei Chen 001; Masatoshi Hori; Yoshinobu Sato; Noriyuki Tomiyama (Int. J. Comput. Assist. Radiol. Surg., 2014)

Sparse and Low-Rank Matrix Decomposition for Local Morphological Analysis to Diagnose Cirrhosis. - Junping Deng; Xian-Hua Han; Yen-Wei Chen 001; Gang Xu; Yoshinobu Sato; Masatoshi Hori; Noriyuki Tomiyama (IEICE Trans. Inf. Syst., 2014)

Abdominal multi-organ segmentation from CT images using conditional shape-location and unsupervised intensity priors. - Toshiyuki Okada; Marius George Linguraru; Masatoshi Hori; Ronald M. Summers; Noriyuki Tomiyama; Yoshinobu Sato (Medical Image Anal., 2015)

Automated segmentation of upper digestive tract from abdominal contrast-enhanced CT data using hierarchical statistical modeling of organ interrelations. - Shunta Hirayama; Yoshito Otake; Toshiyuki Okada; Masatoshi Hori; Noriyuki Tomiyama; Yoshinobu Sato (Image Processing, 2016)

CT-based automated planning of acetabular cup for total hip arthroplasty (THA) based on hybrid use of two statistical atlases. - Yoshiyuki Kagiyama; Itaru Otomaru; Masaki Takao; Nobuhiko Sugano; Masahiko Nakamoto; Futoshi Yokota; Noriyuki Tomiyama; Yukio Tada; Yoshinobu Sato (Int. J. Comput. Assist. Radiol. Surg., 2016)

Development of Deep-learning Segmentation for Breast Cancer in MR Images based on Neural Network Convolution. - Yuchen Wang; Ze Jin; Yukiko Tokuda; Yasuto Naoi; Noriyuki Tomiyama; Kenji Suzuki 001 (ICCPR, 2019)

Liver shape analysis using partial least squares regression-based statistical shape model: application for understanding and staging of liver fibrosis. - Mazen Soufi; Yoshito Otake; Masatoshi Hori; Kazuya Moriguchi; Yasuharu Imai; Yoshiyuki Sawai; Takashi Ota; Noriyuki Tomiyama; Yoshinobu Sato (Int. J. Comput. Assist. Radiol. Surg., 2019)

Unsupervised Content-Preserved Adaptation Network for Classification of Pulmonary Textures from Different CT Scanners. - Rui Xu 002; Zhen Cong; Xinchen Ye; Shoji Kido; Noriyuki Tomiyama (ICASSP, 2020)

Unsupervised Detection of Pulmonary Opacities for Computer-Aided Diagnosis of COVID-19 on CT Images. - Rui Xu 002; Xiao Cao; Yufeng Wang; Yen-Wei Chen 001; Xinchen Ye; Lin Lin 008; Wenchao Zhu; Chao Chen; Fangyi Xu; Yong Zhou; Hongjie Hu; Shoji Kido; et al. (ICPR, 2020)

BG-Net: Boundary-Guided Network for Lung Segmentation on Clinical CT Images. - Rui Xu 002; Yi Wang 037; Tiantian Liu; Xinchen Ye; Lin Lin 008; Yen-Wei Chen 001; Shoji Kido; Noriyuki Tomiyama (ICPR, 2020)

Detail- Revealing Deep Low-Dose CT Reconstruction. - Xinchen Ye; Yuyao Xu; Rui Xu 002; Shoji Kido; Noriyuki Tomiyama (ICPR, 2020)

Weak supervision in convolutional neural network for semantic segmentation of diffuse lung diseases using partially annotated dataset. - Yuki Suzuki; Kazuki Yamagata; Yanagawa Masahiro; Shoji Kido; Noriyuki Tomiyama (Computer-Aided Diagnosis, 2020)

Pulmonary Textures Classification via a Multi-Scale Attention Network. - Rui Xu 002; Zhen Cong; Xinchen Ye; Yasushi Hirano; Shoji Kido; Tomoko Gyobu; Yutaka Kawata; Osamu Honda; Noriyuki Tomiyama (IEEE J. Biomed. Health Informatics, 2020)

Extracting clinical terms from radiology reports with deep learning. - Kento Sugimoto; Toshihiro Takeda; Jong-Hoon Oh; Shoya Wada; Shozo Konishi; Asuka Yamahata; Shiro Manabe; Noriyuki Tomiyama; Takashi Matsunaga; Katsuyuki Nakanishi; Yasushi Matsumura (J. Biomed. Informatics, 2021)

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 (EMNLP, 2022)

Pixel-Level and Affinity-Level Knowledge Distillation for Unsupervised Segmentation of Covid-19 Lesions. - Rui Xu 002; Yufeng Wang; Xinchen Ye; Pengcheng Wu; Yen-Wei Chen 001; Fangyi Xu; Wenchao Zhu; Chao Chen; Yong Zhou; Hongjie Hu; Xiaofeng Qu; Shoji Kido; et al. (ICASSP, 2022)

Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest Radiographs. - Junya Sato; Yuki Suzuki; Tomohiro Wataya; Daiki Nishigaki; Kosuke Kita; Kazuki Yamagata; Noriyuki Tomiyama; Shoji Kido (CoRR, 2022)

Segmentation of Lung Nodules on CT Images Using a Nested Three-Dimensional Fully Connected Convolutional Network. - Shoji Kido; Shunske Kidera; Yasushi Hirano; Shingo Mabu; Tohru Kamiya; Nobuyuki Tanaka; Yuki Suzuki; Yanagawa Masahiro; Noriyuki Tomiyama (Frontiers Artif. Intell., 2022)

Automatic characterization of liver tumors from multi-phase CT images. - Keita Otani; Daiki Nishigaki; Taro Hatsutani; Takeshi Takamoto; Yuki Suzuki; Shoji Kido; Noriyuki Tomiyama (Computer-Aided Diagnosis, 2023)

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 (MICCAI (5), 2023)

Automated entry of paper-based patient-reported outcomes: Applying deep learning to the Japanese orthopaedic association back pain evaluation questionnaire. - Kosuke Kita; Takahito Fujimori; Yuki Suzuki; Takashi Kaito; Shota Takenaka; Yuya Kanie; Masayuki Furuya; Tomohiro Wataya; Daiki Nishigaki; Junya Sato; Noriyuki Tomiyama; Seiji Okada; et al. (Comput. Biol. Medicine, 2024)

High-quality semi-supervised anomaly detection with generative adversarial networks. - Yuki Sato; Junya Sato; Noriyuki Tomiyama; Shoji Kido (Int. J. Comput. Assist. Radiol. Surg., 2024)

Finding-Centric Structuring of Japanese Radiology Reports and Analysis of Performance Gaps for Multiple Facilities. - Yuki Tagawa; Yohei Momoki; Norihisa Nakano; Ryota Ozaki; Motoki Taniguchi; Masatoshi Hori; Noriyuki Tomiyama (NAACL (Industry Track), 2025)

Comparison of active learning algorithms in classifying head computed tomography reports using bidirectional encoder representations from transformers. - Tomohiro Wataya; Azusa Miura; Takahisa Sakisuka; Masahiro Fujiwara; Hisashi Tanaka; Yu Hiraoka; Junya Sato; Miyuki Tomiyama; Daiki Nishigaki; Kosuke Kita; Yuki Suzuki; Shoji Kido; et al. (Int. J. Comput. Assist. Radiol. Surg., 2025)