| Cross-modality image synthesis from unpaired data using cyclegan: Effects of gradient consistency loss and training data size Y Hiasa, Y Otake, M Takao, T Matsuoka, K Takashima, A Carass, ... Simulation and Synthesis in Medical Imaging: Third International Workshop …, 2018 | 270 | 2018 |
| Automated muscle segmentation from clinical CT using Bayesian U-Net for personalized musculoskeletal modeling Y Hiasa, Y Otake, M Takao, T Ogawa, N Sugano, Y Sato IEEE transactions on medical imaging 39 (4), 1030-1040, 2019 | 145 | 2019 |
| Automated surgical instrument detection from laparoscopic gastrectomy video images using an open source convolutional neural network platform Y Yamazaki, S Kanaji, T Matsuda, T Oshikiri, T Nakamura, S Suzuki, ... Journal of the American College of Surgeons 230 (5), 725-732e1, 2020 | 67 | 2020 |
| 2D–3D reconstruction of distal forearm bone from actual X-ray images of the wrist using convolutional neural networks R Shiode, M Kabashima, Y Hiasa, K Oka, T Murase, Y Sato, Y Otake Scientific Reports 11 (1), 15249, 2021 | 40 | 2021 |
| Real time simulation method of magnetic field for visualization system with augmented reality technology S Matsutomo, K Mitsufuji, Y Hiasa, S Noguchi IEEE transactions on magnetics 49 (5), 1665-1668, 2013 | 39 | 2013 |
| Fully automatic estimation of pelvic sagittal inclination from anterior-posterior radiography image using deep learning framework A Jodeiri, RA Zoroofi, Y Hiasa, M Takao, N Sugano, S Yoshinobu, Y Otake Computer methods and programs in biomedicine 184, 105282, 2020 | 24 | 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 | 22 | 2020 |
| 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 | 16 | 2017 |
| Region-based convolution neural network approach for accurate segmentation of pelvic radiograph A Jodeiri, RA Zoroofi, Y Hiasa, M Takao, N Sugano, Y Sato, Y Otake 2019 26th National and 4th International Iranian Conference on Biomedical …, 2019 | 14 | 2019 |
| 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 | 14 | 2019 |
| Recovery of 3D rib motion from dynamic chest radiography and CT data using local contrast normalization and articular motion model Y Hiasa, Y Otake, R Tanaka, S Sanada, Y Sato Medical Image Analysis 51, 144-156, 2019 | 11 | 2019 |
| Gooya A Goksel O Oguz I Burgos N et al Y Hiasa Cross-modality image synthesis from unpaired data using CycleGAN Simulation …, 2018 | 11 | 2018 |
| Translation of cellular protein localization using convolutional networks K Shigene, Y Hiasa, Y Otake, M Soufi, S Janewanthanakul, T Nishimura, ... Frontiers in Cell and Developmental Biology 9, 635231, 2021 | 10 | 2021 |
| Estimation of pelvic sagittal inclination from anteroposterior radiograph using convolutional neural networks: Proof-of-concept study A Jodeiri, Y Otake, RA Zoroofi, Y Hiasa, M Takao, K Uemura, N Sugano, ... arXiv preprint arXiv:1910.12122, 2019 | 10 | 2019 |
| Analysis of forearm rotational motion using biplane fluoroscopic intensity-based 2D–3D matching S Abe, Y Otake, Y Tennma, Y Hiasa, K Oka, H Tanaka, A Shigi, ... Journal of biomechanics 89, 128-133, 2019 | 8 | 2019 |
| Applicability of artificial intelligence-based computer-aided detection (AI–CAD) for pulmonary tuberculosis to community-based active case finding K Okada, N Yamada, K Takayanagi, Y Hiasa, Y Kitamura, Y Hoshino, ... Tropical Medicine and Health 52 (1), 2, 2024 | 6 | 2024 |
| MSKdeX: Musculoskeletal (MSK) decomposition from an X-ray image for fine-grained estimation of lean muscle mass and muscle volume Y Gu, Y Otake, K Uemura, M Takao, M Soufi, Y Hiasa, H Talbot, S Okada, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 3 | 2023 |
| Preliminary investigation on decomposition of individual muscles and bones of lower extremity from single radiograph using CycleGAN N Nakanishi, Y Hiasa, Y Otake, M Takao, N Sugano, Y Sato IEICE Technical Report; IEICE Tech. Rep. 119 (193), 25-30, 2019 | 3 | 2019 |
| Segmentation of surgical instruments from rgb-d endoscopic images using convolutional neural networks: Preliminary experiments towards quantitative skill assessment Y Hiasa, Y Suzuki, A Reiter, Y Otake, M Nishi, H Harada, K Koyama, ... Japanese Soc. Biomed. Med, 7, 2016 | 3 | 2016 |
| Decomposition of musculoskeletal structures from radiographs using an improved CycleGAN framework N Nakanishi, Y Otake, Y Hiasa, Y Gu, K Uemura, M Takao, N Sugano, ... Scientific Reports 13 (1), 8482, 2023 | 2 | 2023 |
