Rchr
J-GLOBAL ID:202101008755935284
Update date: Jun. 12, 2024
Nishijima Keisuke
ニシジマ ケイスケ | Nishijima Keisuke
Affiliation and department:
Job title:
Assistant professor
Research field (1):
Perceptual information processing
Research keywords (2):
デジタルヘルスケア
, 音メディア処理
Research theme for competitive and other funds (6):
Papers (20):
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Keisuke Nishijima, Ken'ichi Furuya. Improvement of Vascular Stenosis Detection by Screening Uncertain Data. 2023 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW). 2023. 549-550
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Ichizo Furusho, Keisuke Nishijima, Ken'ichi Furuya. Spatial Interpolation of Room Impulse Responses Using Information on Early Reflection Directions. Complex, Intelligent and Software Intensive Systems - Proceedings of the 17th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS-2023)(CISIS). 2023. 377-383
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Keisuke Nishijima, Ken'ichi Furuya. Detection of Vascular Stenosis using Average of Differences between Multiple Positions in Shunt Sound. 4th IEEE Global Conference on Life Sciences and Technologies(LifeTech). 2022. 586-587
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Satoshi Yoshida, Shingo Uenohara, Keisuke Nishijima, Ken'ichi Furuya. Voice Quality Change Due to the Amount of Training Data for Multi- and Target-Speaker WaveNet Vocoders. Complex, Intelligent and Software Intensive Systems - Proceedings of the 15th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS-2021)(CISIS). 2021. 727-733
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Keisuke Nishijima, Daisuke Higashi, Ken’ichi Furuya. A method of data augmentation for shunt murmur angiostenosis detection. Advances in Intelligent Systems and Computing. 2021. 1194 AISC. 560-568
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MISC (103):
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Fetal Heart Rate Estimation Using Noise Reduction and Autocorrelation Function. Record of Joint Conference of Electrical and Electronics Engineers in Kyushu. 2022. 2022. 300-301
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西島恵介, 古家賢一. Angiostenosis detection using shunt sounds at multiple positions. 日本音響学会研究発表会講演論文集(CD-ROM). 2022. 2022
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西島恵介, 古家賢一. Detection of Angiostenosis using the average of differences between multiple sensors in shunt murmurs. 日本音響学会研究発表会講演論文集(CD-ROM). 2021. 2021
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野田史也, 西島恵介, 古家賢一. A Study of Features in Shunt-murmur Identification Using Gradient Boosting Decision Trees. 日本音響学会研究発表会講演論文集(CD-ROM). 2021. 2021
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西島恵介, 東大輔, 古家賢一. Classification of stenosis using multi positions shunt sound features. 日本音響学会研究発表会講演論文集(CD-ROM). 2020. 2020
more...
Work history (1):
- 1991/04 - 現在 Oita University Assistant professor
Association Membership(s) (3):
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