bootstrap template


Welcome to the Biological Image and Signal Processing Laboratory (BLISS)
Asst. Prof. Dr.Suchada Tantisatirapong

Fields of Interest
     • Medical Image Processing (e.g. MRI image processing)
     • Physiological Signal Processing (e.g. EEG and EMG signal processing)
     • Human-Machine Interaction (e.g. visual spelling)

Research Project Conducted and Supervised by Asst. Prof. Dr.Suchada Tantisatirapong
Mobirise
Mobirise
Mobirise
Mobirise
Research showcase (1)
Mobirise
Research showcase (2)
Mobirise

Published Peer-reviewed Journals

[1] Noimanee, S. Senavongse, W. Tantisatirapong, S. Noimanee, K. Implement of medical application over high speed wireless broadband network system in Thailand. International Journal of Applied Biomedical Engineering, Vol 8., No.1, 2015.

[2] Senavongse, W. Tantisatirapong, S. Patellofemoral Joint Instability: A Biomechanical Study. International Journal of Applied Biomedical Engineering, Vol.1, No.1, July-December 2008.

Selected Published Conference Proceedings

[1] Tantisatirapong, S. and Phothisonothai, M. Classification of In Vitro Blood Stages of Plasmodium Falciparum Based on Fuzzy Inference System. The 10th International Conference on Knowledge and Smart Technology (KST 2017), Chiangmai, Thailand, January 31 - February 3, 2018.

[2] Tantisatirapong, S. Dechwechprasit, P. Senavongse, W. and Phothisonothai, M. Frequency Based Coherence Analysis of Red and Green Flickering Visual Stimuli for EEG-Controlled Applications. The 9th International Conference on Knowledge and Smart Technology (KST 2017), Pattaya, Thailand, February 1-4, 2017.

[3] Dechwechprasit, P. Phothisonothai, M. and Tantisatirapong, S. Time-Frequency Analysis of Red-Green Visual Flickers Based on Steady-State Visual Evoked Potential Recording. The 9th Biomedical Engineering International Conference (BMEiCON 2016), Luang Prabang, Laos, December 7-9, 2016.

[4] Phothisonothai, M. Tantisatirapong, S. and Aurasopon, A. Automated Determination of Watermelon Ripeness Based on Image Color Segmentation and Rind Texture Analysis. The 2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2016), Phuket, Thailand, October 24-27, 2016.

[5] Puttapirat, P. Phothisonothai, M. Tantisatirapong, S. Automated Segmentation of Erythrocytes from Giemsa-Stained Thin Blood Films. The 8th International Conference on Knowledge and Smart Technology (KST 2016), Kantary Hills Hotel, Chiang Mai, Thailand, February 3-6, 2016, p. 219-223.

[6] Wongsakorn, P. Phothisonothai, M. Senavongse, W. Tantisatirapong, S. Automated Detection of Plasmodium Falciparum from Giemsa-Stained Thin Blood Films, The 8th International Conference on Knowledge and Smart Technology (KST 2016), Kantary Hills Hotel, Chiang Mai Thailand, February 3-6, 2016, p. 215-218.

[7] Tantisatirapong, S. Davies, N.P. Rodriguez, D. Abernethy, L. Auer, D.P. Clark C.A. et al., Combining multi-centre conventional and diffusion MR texture for the characterisation of childhood brain tumours. Joint Annual Meeting ISMRM-ESMRMB; Milan, Italy, 2014.

[8] Tantisatirapong, S. Davies, N.P. Rodriguez, D. Abernethy, L. Auer, D.P. Clark, C.A. et al. Magnetic resonance texture analysis: Optimal feature selection in classifying child brain tumors. XIII Mediterranean Conference on Medical and Biological Engineering and Computing, Seville, Spain: Springer; 2013. p. 309-12.

[9] Tantisatirapong, S. Davies, N.P. Abernethy, L. Auer, D.P. Clark, C.A. Grundy, R. et al. Automated processing pipeline for texture analysis of childhood brain tumours based on multimodal magnetic resonance imaging. 10th IASTED International Conference on Biomedical Engineering; Innsbruck, Austria: ACTA Press; 2013. p. 376-83.

[10] Tantisatirapong, S. Davies, N.P. Peet, A.C. Arvanitis, T.N. Brain tumour segmentation based on multimodal magnetic resonance imaging in children. 21st British Chapter ISMRM Postgraduate Symposium, University of Bristol, Bristol, United Kingdom, 2012.

[11] Tantisatirapong, S. Senavongse, W. Phothisonothai, M. Fractal dimension based electroencephalogram analysis of drowsiness patterns, International Conference on Electrical Engineering/Electronics Computer Telecommunications and Information Technology (ECTI-CON), 19-21 May 2010, vol., no., p.497-500.