Brain decoding of viewed image categories via semi-supervised multi-view Bayesian generative model Y Akamatsu, R Harakawa, T Ogawa, M Haseyama IEEE Transactions on Signal Processing 68, 5769-5781, 2020 | 13 | 2020 |
Blood oxygen saturation estimation from facial video via dc and ac components of spatio-temporal map Y Akamatsu, Y Onishi, H Imaoka ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 10 | 2023 |
Multi-view bayesian generative model for multi-subject fmri data on brain decoding of viewed image categories Y Akamatsu, R Harakawa, T Ogawa, M Haseyama ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 8 | 2020 |
Classification of expert-novice level using eye tracking and motion data via conditional multimodal variational autoencoder Y Akamatsu, K Maeda, T Ogawa, M Haseyama ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 6 | 2021 |
Estimating viewed image categories from fMRI activity via multi-view Bayesian generative model Y Akamatsu, R Harakawa, T Ogawa, M Haseyama 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE), 127-128, 2019 | 6 | 2019 |
Estimation of viewed image categories via CCA using human brain activity Y Akamatsu, R Harakawa, T Ogawa, M Haseyama 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE), 202-203, 2018 | 6 | 2018 |
Perceived image decoding from brain activity using shared information of multi-subject fmri data Y Akamatsu, R Harakawa, T Ogawa, M Haseyama IEEE access 9, 26593-26606, 2021 | 5 | 2021 |
Estimating viewed image categories from human brain activity via semi-supervised fuzzy discriminative canonical correlation analysis Y Akamatsu, R Harakawa, T Ogawa, M Haseyama ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 5 | 2019 |
Heart rate and oxygen saturation estimation from facial video with multimodal physiological data generation Y Akamatsu, Y Onishi, H Imaoka ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 4 | 2022 |
CalibrationPhys: Self-supervised Video-based Heart and Respiratory Rate Measurements by Calibrating Between Multiple Cameras Y Akamatsu, T Umematsu, H Imaoka IEEE Journal of Biomedical and Health Informatics, 2023 | 1 | 2023 |
Edema estimation from facial images taken before and after dialysis via contrastive multi-patient pre-training Y Akamatsu, Y Onishi, H Imaoka, J Kameyama, H Tsurushima IEEE Journal of Biomedical and Health Informatics 27 (3), 1419-1430, 2022 | 1 | 2022 |
A note on estimation of expert-novice level based on eye tracking and motion data from engineers while inspecting subway tunnel Y Akamatsu, K Maeda, T Ogawa, M Haseyama ITE Technical Report; ITE Tech. Rep. 45 (4), 7-12, 2021 | 1 | 2021 |
Body fluid volume estimation device, body fluid volume estimation method, and non-transitory computer-readable medium Y Akamatsu, Y Onishi, H Tsurushima US Patent App. 18/371,709, 2024 | | 2024 |
Zero-Shot Neural Decoding with Semi-Supervised Multi-View Embedding Y Akamatsu, K Maeda, T Ogawa, M Haseyama Sensors 23 (15), 6903, 2023 | | 2023 |
A Note on Estimation of Image Categories Using Brain Activity While Viewing Images Based on MVBGM-MS Y Akamatsu, R Harakawa, T Ogawa, M Haseyama ITE Technical Report; ITE Tech. Rep. 44 (6), 79-83, 2020 | | 2020 |
Semi-supervised Discriminative CCA for Estimating Viewed Image Categories from fMRI Data Y Akamatsu, R Harakawa, T Ogawa, M Haseyama 2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech …, 2019 | | 2019 |