MP62-02 A NOVEL MACHINE-LEARNING AUGMENTED AUDIO-UROFLOWMETRY – COMPARISON WITH STANDARD UROFLOWMETRY
Aslim, Edwin Jonathan, Balamurali BK, Lynn Ng, Yun Shu, Chuen Kuo, Tricia Li, Chen, Jacob Shihang, Chen, Jer-ming, Ng, Lay Guat
Published in The Journal of urology (01.04.2019)
Published in The Journal of urology (01.04.2019)
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Journal Article
Development and Validation of a Deep Learning System for Sound-based Prediction of Urinary Flow
Lee, Han Jie, Aslim, Edwin Jonathan, Balamurali, B.T., Ng, Lynn Yun Shu, Kuo, Tricia Li Chuen, Lin, Cindy Ming Ying, Clarke, Christopher Johann, Priyadarshinee, Prachee, Chen, Jer-Ming, Ng, Lay Guat
Published in European urology focus (01.01.2023)
Published in European urology focus (01.01.2023)
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Journal Article
Pilot study for the comparison of machine-learning augmented audio-uroflowmetry with standard uroflowmetry in healthy men
Aslim, Edwin Jonathan, B T, Balamurali, Ng, Yun Shu Lynn, Kuo, Tricia Li Chuen, Lim, Kheng Sit, Chen, Jacob Shihan, Chen, Jer-Ming, Ng, Lay Guat
Published in BMJ innovations (01.10.2020)
Published in BMJ innovations (01.10.2020)
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Journal Article
Acoustic prediction of flowrate: varying liquid jet stream onto a free surface
T, Balamurali B, Aslim, Edwin Jonathan, Ng, Yun Shu Lynn, Li, Tricia, Kuo, Chuen, Chen, Jacob Shihang, Herremans, Dorien, Ng, Lay Guat, Chen, Jer-Ming
Year of Publication 16.06.2020
Year of Publication 16.06.2020
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Journal Article
Acoustic prediction of flowrate: varying liquid jet stream onto a free surface
Balamurali, B T, Aslim, Edwin Jonathan, Ng, Yun Shu Lynn, Kuo, Tricia Li Chuen, Chen, Jacob Shihang, Herremans, Dorien, Ng, Lay Guat, Chen, Jer-Ming
Published in 2020 International Conference on Signal Processing and Communications (SPCOM) (01.07.2020)
Published in 2020 International Conference on Signal Processing and Communications (SPCOM) (01.07.2020)
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