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Yusuke Akamatsu
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2020 – today
- 2024
- [j5]Yusuke Akamatsu, Terumi Umematsu, Hitoshi Imaoka:
CalibrationPhys: Self-Supervised Video-Based Heart and Respiratory Rate Measurements by Calibrating Between Multiple Cameras. IEEE J. Biomed. Health Informatics 28(3): 1460-1471 (2024) - [i4]Yusuke Akamatsu, Terumi Umematsu, Hitoshi Imaoka, Shizuko Gomi, Hideo Tsurushima:
ComFace: Facial Representation Learning with Synthetic Data for Comparing Faces. CoRR abs/2405.16016 (2024) - 2023
- [j4]Yusuke Akamatsu, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Zero-Shot Neural Decoding with Semi-Supervised Multi-View Embedding. Sensors 23(15): 6903 (2023) - [j3]Yusuke Akamatsu, Yoshifumi Onishi, Hitoshi Imaoka, Junko Kameyama, Hideo Tsurushima:
Edema Estimation From Facial Images Taken Before and After Dialysis via Contrastive Multi-Patient Pre-Training. IEEE J. Biomed. Health Informatics 27(3): 1419-1430 (2023) - [c8]Yusuke Akamatsu, Yoshifumi Onishi, Hitoshi Imaoka:
Blood Oxygen Saturation Estimation from Facial Video Via DC and AC Components of Spatio-Temporal Map. ICASSP 2023: 1-5 - [i3]Yusuke Akamatsu, Terumi Umematsu, Hitoshi Imaoka:
CalibrationPhys: Self-supervised Video-based Heart and Respiratory Rate Measurements by Calibrating Between Multiple Cameras. CoRR abs/2310.15043 (2023) - 2022
- [c7]Yusuke Akamatsu, Yoshifumi Onishi, Hitoshi Imaoka:
Heart Rate and Oxygen Saturation Estimation from Facial Video with Multimodal Physiological Data Generation. ICASSP 2022: 1111-1115 - [i2]Yusuke Akamatsu, Yoshifumi Onishi, Hitoshi Imaoka:
Blood Oxygen Saturation Estimation from Facial Video via DC and AC components of Spatio-temporal Map. CoRR abs/2212.07116 (2022) - [i1]Yusuke Akamatsu, Yoshifumi Onishi, Hitoshi Imaoka, Junko Kameyama, Hideo Tsurushima:
Edema Estimation From Facial Images Taken Before and After Dialysis via Contrastive Multi-Patient Pre-Training. CoRR abs/2212.07582 (2022) - 2021
- [j2]Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
Perceived Image Decoding From Brain Activity Using Shared Information of Multi-Subject fMRI Data. IEEE Access 9: 26593-26606 (2021) - [c6]Yusuke Akamatsu, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Classification of Expert-Novice Level Using Eye Tracking And Motion Data via Conditional Multimodal Variational Autoencoder. ICASSP 2021: 1360-1364 - 2020
- [j1]Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
Brain Decoding of Viewed Image Categories via Semi-Supervised Multi-View Bayesian Generative Model. IEEE Trans. Signal Process. 68: 5769-5781 (2020) - [c5]Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
Multi-View Bayesian Generative Model for Multi-Subject FMRI Data on Brain Decoding of Viewed Image Categories. ICASSP 2020: 1215-1219
2010 – 2019
- 2019
- [c4]Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
Estimating Viewed Image Categories from fMRI Activity via Multi-view Bayesian Generative Model. GCCE 2019: 127-128 - [c3]Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
Estimating Viewed Image Categories from Human Brain Activity via Semi-supervised Fuzzy Discriminative Canonical Correlation Analysis. ICASSP 2019: 1105-1109 - [c2]Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
Semi-supervised Discriminative CCA for Estimating Viewed Image Categories from fMRI Data. LifeTech 2019: 233-234 - 2018
- [c1]Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
Estimation of Viewed Image Categories via CCA Using Human Brain Activity. GCCE 2018: 202-203
Coauthor Index
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