| Parameterized AdaBoost: introducing a parameter to speed up the training of real AdaBoost S Wu, H Nagahashi IEEE Signal Processing Letters 21 (6), 687-691, 2014 | 84 | 2014 |
| Person-specific heart rate estimation with ultra-wideband radar using convolutional neural networks S Wu, T Sakamoto, K Oishi, T Sato, K Inoue, T Fukuda, K Mizutani, ... IEEE Access 7, 168484-168494, 2019 | 44 | 2019 |
| Analysis of generalization ability for different AdaBoost variants based on classification and regression trees S Wu, H Nagahashi Journal of Electrical and Computer Engineering 2015, 8-8, 2015 | 33 | 2015 |
| X-ray2Shape: reconstruction of 3D liver shape from a single 2D projection image F Tong, M Nakao, S Wu, M Nakamura, T Matsuda 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 22 | 2020 |
| SuperCut: Superpixel based foreground extraction with loose bounding boxes in one cutting S Wu, M Nakao, T Matsuda IEEE Signal Processing Letters 24 (12), 1803-1807, 2017 | 21 | 2017 |
| Reconstructing 3D lung shape from a single 2D image during the deaeration deformation process using model-based data augmentation S Wu, M Nakao, J Tokuno, T Chen-Yoshikawa, T Matsuda 2019 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2019 | 18 | 2019 |
| Penalized AdaBoost: improving the generalization error of gentle AdaBoost through a margin distribution S Wu, H Nagahashi IEICE TRANSACTIONS on Information and Systems 98 (11), 1906-1915, 2015 | 11 | 2015 |
| Real-time 2D hands detection and tracking for sign language recognition S Wu, H Nagahashi 2013 8th International Conference on System of Systems Engineering, 40-45, 2013 | 11 | 2013 |
| Two-dimensional ultrasound imaging technique based on neural network using acoustic simulation Y Nagatani, S Okumura, S Wu, T Matsuda arXiv preprint arXiv:2004.08775, 2020 | 10 | 2020 |
| A new method for solving overfitting problem of gentle AdaBoost S Wu, H Nagahashi Fifth International Conference on Graphic and Image Processing (ICGIP 2013 …, 2014 | 9 | 2014 |
| Continuous lung region segmentation from endoscopic images for intra-operative navigation S Wu, M Nakao, T Matsuda Computers in biology and medicine 87, 200-210, 2017 | 8 | 2017 |
| Automatic GrabCut based lung extraction from endoscopic images with an initial boundary S Wu, M Nakao, T Matsuda 2016 IEEE 13th International Conference on Signal Processing (ICSP), 1374-1378, 2016 | 6 | 2016 |
| Neural network based bone density estimation from the ultrasound waveforms inside cancellous bone derived by FDTD simulations Y Nagatani, S Okumura, S Wu 2018 IEEE International Ultrasonics Symposium (IUS), 1-4, 2018 | 3 | 2018 |
| Computed Tomography slice interpolation in the longitudinal direction based on deep learning techniques: To reduce slice thickness or slice increment without dose increase S Wu, M Nakao, K Imanishi, M Nakamura, T Mizowaki, T Matsuda Plos one 17 (12), e0279005, 2022 | 2 | 2022 |
| Comparison of machine learning and non-machine learning methods for the sleep apnea detection using millimeter-wave radar T Koda, T Sakamoto, S Wu, S Okumura, H Taki, S Hamada, S Sato, ... IEICE Communications Express 11 (6), 355-360, 2022 | 2 | 2022 |
| Detecting Lower MMSE Scores in Older Adults Using Cross-Trial Features From a Dual-Task With Gait and Arithmetic S Wu, T Matsuura, F Okura, Y Makihara, C Zhou, K Aoki, I Mitsugami, ... IEEE Access 9, 150268-150282, 2021 | 2 | 2021 |
| Early detection of low cognitive scores from dual-task performance data using a spatio-temporal graph convolutional neural network S Wu, F Okura, Y Makihara, K Aoki, M Niwa, Y Yagi 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 1 | 2021 |
| PPGCN: Phase-aligned Periodic Graph Convolutional Network for Dual-task-based Cognitive Impairment Detection Á Godó, S Wu, F Okura, Y Makihara, M Ikeda, S Sato, M Suzuki, Y Satake, ... IEEE Access, 2024 | | 2024 |
| Two-stream Graph Convolutional Networks with Task-specific Loss for Dual-task Gait Analysis J Liu, S Wu, F Okura, Y Makihara, Y Yagi 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | | 2023 |
| Cervical Lesion Classification via Positive-Unlabeled Learning MD MANALO, K AOKI, S WU, M SHINDO, Y UEDA, Y YAGI Medical Imaging Technology 40 (5), 197-206, 2022 | | 2022 |
