| Multi-organ segmentation in abdominal CT images T Okada, MG Linguraru, M Hori, Y Suzuki, RM Summers, N Tomiyama, ... 2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012 | 38 | 2012 |
| Deep learning algorithm for detection of aortic dissection on non-contrast-enhanced CT A Hata, M Yanagawa, K Yamagata, Y Suzuki, S Kido, A Kawata, S Doi, ... European Radiology 31, 1151-1159, 2021 | 36 | 2021 |
| Segmentation of lung nodules on ct images using a nested three-dimensional fully connected convolutional network S Kido, S Kidera, Y Hirano, S Mabu, T Kamiya, N Tanaka, Y Suzuki, ... Frontiers in Artificial Intelligence 5, 782225, 2022 | 22 | 2022 |
| Introduction to deep learning: minimum essence required to launch a research T Wataya, K Nakanishi, Y Suzuki, S Kido, N Tomiyama Japanese journal of radiology 38 (10), 907-921, 2020 | 21 | 2020 |
| Bayesian segmentation of hip and thigh muscles in metal artifact-contaminated CT using convolutional neural network-enhanced normalized metal artifact reduction M Sakamoto, Y Hiasa, Y Otake, M Takao, Y Suzuki, N Sugano, Y Sato Journal of Signal Processing Systems 92, 335-344, 2020 | 21 | 2020 |
| Three-dimensional reconstructions of haustoria in two parasitic plant species in the Orobanchaceae N Masumoto, Y Suzuki, S Cui, M Wakazaki, M Sato, K Kumaishi, ... Plant Physiology 185 (4), 1429-1442, 2021 | 20 | 2021 |
| Quantitative comparison of operative skill using 2-and 3-dimensional monitors during laparoscopic phantom tasks M Nishi, S Kanaji, Y Otake, H Harada, M Yamamoto, T Oshikiri, ... Surgery 161 (5), 1334-1340, 2017 | 15 | 2017 |
| Automated segmentation of hip and thigh muscles in metal artifact contaminated CT using CNN M Sakamoto, Y Hiasa, Y Otake, M Takao, Y Suzuki, N Sugano, Y Sato International Forum on Medical Imaging in Asia 2019 11050, 124-129, 2019 | 13 | 2019 |
| Radiologists with and without deep learning–based computer-aided diagnosis: comparison of performance and interobserver agreement for characterizing and diagnosing pulmonary … T Wataya, M Yanagawa, M Tsubamoto, T Sato, D Nishigaki, K Kita, ... European Radiology 33 (1), 348-359, 2023 | 12 | 2023 |
| Anatomy-aware self-supervised learning for anomaly detection in chest radiographs J Sato, Y Suzuki, T Wataya, D Nishigaki, K Kita, K Yamagata, N Tomiyama, ... Iscience 26 (7), 2023 | 8 | 2023 |
| Automated segmentation and anatomical labeling of abdominal arteries based on multi-organ segmentation from contrast-enhanced CT data Y Suzuki, T Okada, M Hori, F Yokota, MG Linguraru, N Tomiyama, Y Sato Clinical Image-Based Procedures. From Planning to Intervention …, 2013 | 7 | 2013 |
| BERT-based Transfer Learning in Sentence-level Anatomic Classification of Free-Text Radiology Reports D Nishigaki, Y Suzuki, T Wataya, K Kita, K Yamagata, J Sato, S Kido, ... Radiology: Artificial Intelligence 5 (2), e220097, 2023 | 6 | 2023 |
| CT-based radiomics analysis for differentiation between thymoma and thymic carcinoma R Ohira, M Yanagawa, Y Suzuki, A Hata, T Miyata, N Kikuchi, Y Yoshida, ... Journal of Thoracic Disease 14 (5), 1342, 2022 | 6 | 2022 |
| False dyssynchrony: problem with image-based cardiac functional analysis using x-ray computed tomography M Kidoh, Z Shen, Y Suzuki, L Ciuffo, H Ashikaga, GSK Fung, Y Otake, ... Medical Imaging 2017: Physics of Medical Imaging 10132, 449-455, 2017 | 6 | 2017 |
| Use of artificial intelligence to identify data elements for The Japanese Orthopaedic Association National Registry from operative records K Kita, K Uemura, M Takao, T Fujimori, K Tamura, N Nakamura, ... Journal of Orthopaedic Science 28 (6), 1392-1399, 2023 | 5 | 2023 |
| Factual accuracy is not enough: Planning consistent description order for radiology report generation T Nishino, Y Miura, T Taniguchi, T Ohkuma, Y Suzuki, S Kido, ... Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 5 | 2022 |
| Automated anatomical labeling of abdominal arteries from ct data based on optimal path finding between segmented organ and aorta regions: A robust method against topological … S YUKI International journal of computer assisted radiology and surgery, 2012 | 5 | 2012 |
| Development of artificial intelligence for automated measurement of cervical lordosis on lateral radiographs T Fujimori, Y Suzuki, S Takenaka, K Kita, Y Kanie, T Kaito, Y Ukon, ... Scientific Reports 12 (1), 15732, 2022 | 3 | 2022 |
| Comparative study of vessel detection methods for contrast enhanced computed tomography: effects of convolutional neural network architecture and patch size Y Suzuki, M Hori, S Kido, Y Otake, M Ono, N Tomiyama, Y Sato Advanced Biomedical Engineering 10, 138-149, 2021 | 3 | 2021 |
| Weak supervision in convolutional neural network for semantic segmentation of diffuse lung diseases using partially annotated dataset Y Suzuki, K Yamagata, M Yanagawa, S Kido, N Tomiyama Medical Imaging 2020: Computer-Aided Diagnosis 11314, 528-533, 2020 | 3 | 2020 |
