Publications

Journals 

1. S.Q. Pan, Y.C. Hum, ..., Y.K. Tee*, "Artificial Intelligence in Chemical Exchange Saturation Transfer Magnetic Resonance Imaging", Artificial Intelligence Review, 58:210, 2025. (I.F 2023 = 10.7; Q1 - JIF Percentile: 95.7)[Link]

2. Y.H., Chin, S. Jiang, Y.L., Lee, Y.K., Tee at al., "Joint Aerial Base Station Placement and Fair User Association for 6G Aerial-Terrestrial Networks: A Whale Optimization Approach", Ad Hoc Networks, 173, 103836, 2025 (I.F 2023 = 4.4; Q1)[Link]

3. W.J., Tiong, Y.C., Hum, ..., Y.K., Tee*, "Improving Human Detection in the Presence of Cartoon Characters Using Retrained Deep Learning Models", Signal, Image and Video Processing, 19:429, 1-16, 2025 (I.F 2023 = 2.0; Q3)[Link]

4. Q., Ke, R., W.S. Yap, Y.K., Tee* et al., "Advanced deep learning for multi-class colorectal cancer histopathology: integrating transfer learning and ensemble methods",  Quantitative Imaging in Medicine and Surgery, 15(3), 2329-2346, 2025 (I.F 2023 = 2.9; Q2)[Link]

5. W. Voon, Y.C., Hum, Y.K. Tee et al., "Trapezoidal Step Scheduler for Model-Agnostic Meta-Learning in Medical Imaging", Pattern Recognition, Volume 161, 111316, 2025 (I.F 2023 = 7.5; Q1 - JIF Percentile: 93.1)[Link]

6. S.Q Pauline Yeoh, ..., Y.K. Tee, et al., "An Efficient Neural Network for Segmenting Multiple Joint Tissues from Knee MRI with Hyperparameter Optimization: Data from the Osteoarthritis Initiative", IEEE Access, Volume 12, 123757 - 123770, 2024 (I.F 2023 = 3.4; Q2)[Link]

7. W. Voon, Y.C., Hum, Y.K. Tee et al., "IMAML-IDCG: Optimization-Based Meta-Learning with ImageNet Feature Reusing for Few-Shot Invasive Ductal Carcinoma Grading", Expert Systems with Applications,  257, 124969, 2024. (I.F 2023 = 7.5; Q1 - JIF Percentile: 93)[Link]

8. S.Q. Pan, Y.C. Hum, ..., Y.K. Tee*, "Study of Power Equivalent Continuous Approximation Based on the Recent Consensus Recommendations for Brain Tumor Imaging using Pulsed Chemical Exchange Saturation Transfer at 3T", Magnetic Resonance in Medical Sciences, 2024. (I.F 2023 = 2.5; Q2)[Link]

9. W.K. Loo, ..., Y.K. Tee, et al., "Predictive Modeling of Covid-19 Readmissions: Insights from Machine Learning and Deep Learning Approaches", Diagnostics, 14, 1511, 2024. (I.F 2023 = 3.0; Q1)[Link]

10. C.H. Goh, ..., Y.K. Tee, et al., "Assessing the Efficacy of Machine Learning Algorithms for Syncope Classification: A Systematic review", MethodsX, 12, 102508, 2024. (I.F 2023 = 1.6; Q2)[Link]

11. W.J. Chin, ..., Y.K. Tee, et al., "A Novel Respiratory Rate Estimation Algorithm from Photoplethysmogram using Deep Learning Model", Diagnostics, 14(3), 284, 2024. (I.F 2023 = 3.0; Q1)[Link]

12. Z. Zhao, J.H. Chuah, ..., Y.K. Tee, et al., "Machine learning approaches in comparative studies for Alzheimer’s diagnosis using 2D MRI slices", Turkish Journal of Electrical Engineering and Computer Sciences, 32(1), 93-107, 2024 (I.F 2022 = 1.1; Q4)[Link]

13. R.J. Choong, W.S. Yap, ..., Y.K. Tee*, "Impact of Visual Enhancement and Colour Conversion Algorithms on Remote Sound Recovery from Silent Videos", Journal of the Society for Information Display, 32(3), 112-125, 2024 (I.F 2022 = 2.3; Q3)[Link]

14. M.P. Yong, Y.C. Hum, ..., Y.K. Tee*, "Histopathological Cancer Detection Using Intra-Domain Transfer Learning and Ensemble Learning", IEEE Access, Volume 12, 1434-1457, 2023. (I.F 2022 = 3.9; Q2)[Link]

15. W. Voon, Y.C., Hum, Y.K. Tee et al., "Evaluating the Effectiveness of Stain Normalization Techniques in Automated Grading of Invasive Ductal Carcinoma Histopathological Images", Sci Rep, 13, 20518, 2023 (I.F 2022 = 4.6; Q2) [Link]

16. L.S. Foo, J.R. Larkin, B.A. Sutherland, ..., Y.K. Tee*, "Investigation of Relayed Nuclear Overhauser Enhancement Effect at -1.6 ppm in an Ischemic Stroke Model", Quantitative Imaging in Medicine and Surgery, 13(12), 7879 - 7892, 2023 (I.F 2022 = 2.8; Q2) [Link]

17. W.Y. Kim, Y.C., Hum, Y.K. Tee, et al., "A Modified Single Image Dehazing Method for Autonomous Driving Vision System", Multimedia Tools and Applications, 1 - 33, 2023 (I.F 2021 = 3.6; Q2) [Link] 

18. Y.S. Goh, Y.C. Hum, ..., Y.K. Tee*, "A Meta-Analysis: Food Production and Vegetable Crop Yields of Hydroponics", Scientia Horticulturae, 321, 112339, 2023 (I.F 2022 = 4.3; Q1) [Link]

19. J.C. Koo, Q. K, Y.C. Hum, ..., Y.K. Tee*, "Non-annotated Renal Histopathological Image Analysis with Deep Ensemble Learning", Quantitative Imaging in Medicine and Surgery, 13(9), 5902-5920, 2023 (I.F 2021 = 4.63; Q2) [Link]

20. M.P., Yong, Y.C., Hum, ..., Y.K., Tee*, "Histopathological Gastric Cancer Detection on GasHisSDB Dataset using Deep Ensemble Learning", Diagnostics, 13(10), 1793, 2023. (I.F 2021 = 3.992; Q2)[Link]

21. M.A, Shaoib, ..., Y.K., Tee et al., "An Overview of Deep Learning Methods for Left Ventricle Segmentation",  Computational Intelligence and Neuroscience, vol. 2023, 4208231, 2023. (I.F 2021 = 3.12; Q2)[Link]

22. H.Y., Heo, Y.K., Tee, G., Harston, R., Leigh, M., Chappell, "Amide Proton Transfer Imaging in Stroke",  NMR Biomed., 36(6), e4734, 2023 (I.F 2021 = 4.478; Q1) [Link] [Top Downloaded Article in 2023]

23. Voon, W., Voon, Y.C., Hum, Y.K., Tee et al., "Performance analysis of seven Convolutional Neural Networks (CNNs) with transfer learning for Invasive Ductal Carcinoma (IDC) grading in breast histopathological images", Sci Rep, 12, 19200, 2022 (I.F 2021 = 4.996; Q2) [Link]

24. Y.C., Hum, Y.K. Tee et al., "A Contrast Enhancement Framework Under Uncontrolled Environments Based on Just Noticeable Difference ", Signal Processing: Image Communication, 103, 116657, 2022. (I.F 2021 = 3.453; Q2) [Link]

25. J.R., Larkin, L.S., Foo, B.A., Sutherland, A. Khrapitchev, Y.K., Tee*, "Magnetic Resonance pH Imaging in Stroke – Combining the Old with the New", Front. Physiol., 1-8, 2022. (I.F 2021 = 4.755; Q1) [Link]

26. W.S. Low, ..., Y.K. Tee, et al., "A Review of Machine Learning Network in Human Motion Biomechanics", Journal of Grid Computing, 20:4, 1-37, 2022. (I.F 2020 = 3.986; Q1) [Link]

27. S.Q Pauline Yeoh, ..., Y.K. Tee, et al., "Emerging of Deep Learning in Knee Osteoarthritis Diagnosis", Computational Intelligence and Neuroscience, 1-20, 2021. (I.F 2020 = 3.633; Q1) [Link]

28. K. Teo, C.W., Yong, ..., Y.K. Tee, et al., "Current Trends in Readmission Prediction: An Overview of Approaches", Arabian Journal for Science and Engineering, 1-18, 2021. (I.F 2020 = 2.334; Q3) [Link]

29. Y.C., Hum, H.R., Tan, Y.K. Tee, et al., "The development of skin lesion detection application in smart handheld devices using deep neural networks", Multimedia Tools and Applications, 1-32, 2021. (I.F 2020 = 2.757; Q2) [Link] 

30. L.S., Foo, G.W.J., Harston, A., Mehndiratta, ..., Y.K. Tee*, "Clinical Translation of Amide Proton Transfer (APT) MRI for Ischemic Stroke: A Systematic Review (2003 – 2020)", Quantitative Imaging in Medicine and Surgery, 11(8): 3797-3811, 2021. (I.F 2020 = 3.837; Q2) [Link]

31. Yong, C.W., Teo, K., ..., Y.K. Tee, et al., "Knee osteoarthritis severity classification with ordinal regression module", Multimedia Tools and Applications,  1-13, 2021. (I.F 2020 = 2.757; Q2) [Link] 

32. L.S. Foo, J.R. Larkin, B.A. Sutherland, ..., N.R. Sibson, Y.K. Tee*, "Study of Common Quantification Methods of Amide Proton Transfer Magnetic Resonance Imaging for Ischemic Stroke Detection", Magnetic Resonance in Medicine, 85: 2188-2200, 2021 (I.F 2020 = 4.668; Q1) [Link]

33. L.S. Foo, W.S. Yap, Y.C. Hum, H.A. Manan, Y.K. Tee*, "Analysis of Model-Based and Model-Free CEST Effect Quantification Methods for Different Medical Applications", Journal of Magnetic Resonance, Volume 310, January 2020, 106648  (I.F 2019 = 2.624; Q2) [Link]

34. H.K. Poon, W.S. Yap, Y.K. Tee et al., "Hierarchical Gated Recurrent Neural Network with Adversarial and Virtual Adversarial Training on Text Classification", Neural Network, 119: 299-312, 2019.  (I.F 2019=  5.535 ; Q1) [Link]

35. Y. Msayib, G.W.J. Harston, Y.K. Tee et al., "Quantitative CEST Imaging of Amide Proton Transfer in Acute Ischaemic Stroke", Neuroimage: Clinical, 23:101833, 2019. (I.F 2018 =   3.943 ; Q1) [Link]

36. K.J. Ray, J.R. Larkin, Y.K. Tee et al., "Determination of an optimally sensitive and specific Chemical Exchange Saturation Transfer MRI quantification metric in relevant biological phantoms", NMR Biomed., 29 (11): 1624-1633, 2016. (I.F 2017 = 3.031 ; Q1) [Link]

37. G.W.J., Harston, Y.K. Tee, N.P. Blockley et al., "Identifying the ischaemic penumbra using pH-weighted magnetic resonance imaging", Brain, 138: 36–42, 2015. (I.F 2015 = 10.103; Q1) [Link]

38. Y.K. Tee*, M.J. Donahue, G. Harston, S.J. Payne, and M.A. Chappell, "Quantification of amide proton transfer effect pre- and post-gadolinium contrast agent administration", Journal of Magnetic Resonance Imaging, 40: 832–838, 2014. (I.F 2014 = 3.210; Q1) [Link]

39. Y.K. Tee*, G.WJ. Harston, N.P. Blockley et al., “Comparing Different Analysis Methods for Quantifying the MRI Amide Proton Transfer (APT) Effect in Hyperacute Stroke Patients”, NMR Biomed., 27: 1019–1029, 2014. (I.F 2013 = 3.559; Q1) [Link]

40. Y.K. Tee*, A.A Khrapichev, N.R. Sibson, S.J. Payne, and M.A. Chappell, "Optimal Sampling Schedule for Chemical Exchange Saturation Transfer", Magnetic Resonance in Medicine, 70: 1251–1262, 2013. (I.F 2013 = 3.4; Q1) [Link]

41. M.A. Chappell, M.J. Donahua, Y.K. Tee, A.A Khrapichev, N.R. Sibson, P. Jezzard and S.J. Payne, “Quantitative Bayesian Model-Based Analysis of Amide Proton Transfer MRI”, Magnetic Resonance in Medicine, 70: 556–567, 2013. (I.F 2013 = 3.4; Q1) [Link]

42. G.W.J. Harston, Y.K. Tee et al, “Ventricular extension of intracerebral hemorrhage during intravenous thrombolysis”, Cerebrovascular Diseases, 36:324-325, 2013. (I.F 2013 = 3.698; Q1) [Link]

43. Y.K. Tee*, A.A Khrapichev, N.R. Sibson, S.J. Payne, and M.A. Chappell, "Evaluating the Use of a Continuous Approximation for Model-Based Quantification of Pulsed Chemical Exchange Saturation Transfer (CEST)", Journal of Magnetic Resonance, 222: 88-95, 2012. (I.F 2013 = 2.315; Q2) [Link]

* corresponding author = 18

JCR Q1 - 21

JCR Q2 - 18

JCR Q3 - 3

JCR Q4 - 1

Conference/Abstract

1. Q., Ke, R., Gao, W.S., Yap, Y.K., Tee et al., "Malaria Cell Images Classification with Deep Ensemble Learning", 2024 the 20th International Conference on Intelligent Computing (ICIC 2024), Tianjin, China, 2024.

2. P. Schuenke, ... Y.K., Tee et al, "Bloch-McConnell Simulation Study – Comparison of 14 Frameworks", CEST 2024 Workshop, Nürnberg, Germany, 2024.

3. S.Q., Pan, Y.K., Tee, "Assessing Gamma-Knife Treatment Response in Human Brain Metastasis with CEST MRI", CEST 2024 Workshop, Nürnberg, Germany, 2024.

4. S.Q., Pan, W.S., Yap, F.M., Zaki, ..., Y.K., Tee, "Amide Proton Transfer Imaging for Gamma-knife Treatment Response in Human Brain Metastasis: A Preliminary Study", 2024 the 9th International Conference on Image, Vision and Computing (ICIVC 2024), Suzhou, China, 2024.

5. Y.K., Tee, S.Q., Pan, R., Hayek, "Can the Relayed Nuclear Overhauser Enhancement Effect at -1.6 ppm Provide Unique Contrast in an Ischemic Stroke Model?", 32nd ISMRM & ISMRT Annual Meeting & Exhibition, Singapore, 2024.

6. M.P., Yong, Y.C., Hum, ..., Y.K., Tee, "Histopathological Gastric Cancer Detection Using Transfer Learning", 2023 11th International Conference on Bioinformatics and Computational Biology (ICBCB 2023), Hangzhou, China, 2023.

7. J.C. Koo, Y.C. Hum, K.W. Lai, W.S. Yap, S. Manickam, Y.K. Tee, "Deep Machine Learning Histopathological Image Analysis for Renal Cancer Detection", 2022 8th International Conference on Computing and Artificial Intelligence (ICCAI 2022), Tianjin, China, 2022.

8. R.J. Choong, W.S. Yap, Y.C. Hum, Y.K. Tee, "A Study on the Effect of Video Resolution on the Quality of Sound Recovered using the Visual Microphone", 2022 4th International Conference on Image, Video and Signal Processing (IVSP 2022), Singapore, 2022. 

9. L.S. Foo, J.R. Larkin, B.A. Sutherland, ..., N.R. Sibson, Y.K. Tee, "pH-Weighted Amide Proton Transfer Magnetic Resonance Imaging (APT MRI) Better Delineates the Acidotic Ischemic Penumbra", Malaysia Stroke Conference 2021 (MSC 2021), Malaysia, 2021.

10. L.S. Foo, J.R. Larkin, B.A. Sutherland, ..., N.R. Sibson, Y.K. Tee, "Comparing Common Quantification Methods of Amide Proton Transfer Magnetic Resonance Imaging for Ischemic Stroke Diagnosis", 8th International Workshop on Chemical Exchange Saturation Transfer Imaging (CEST 2020), Altanta, US, 2020.

11. L.S. Foo, Y.K. Tee, "Advances in the Clinical Translation of Amide Proton Transfer Magnetic Resonance Imaging", 8th International Workshop on Chemical Exchange Saturation Transfer Imaging (CEST 2020), Altanta, US, 2020.

12. R.J. Choong, W.S. Yap, Y.C. Hum, Y.K. Tee, "Improving the Quality of Sound Recovered Using the Visual Microphone with Frame-wise Image Denoising Preprocessing", 4th International Conference on Computer Graphics and Digital Image Processing (CGDIP 2020), Kunming, China, 2020.

13. L.S. Foo, W.S. Yap, Y.C. Hum, Z. Kadim, H.W. Hon, Y.K. Tee, "Real-Time Baby Crying Detection in the Noisy Everyday Environment", 2020 11th IEEE Control & System Graduate Research Colloquium (ICSGRC 2020), Shah Alam, Malaysia, 2020. 

14. L.S. Foo, W.S. Yap, Y.K. Tee, "Determination of Computationally Efficient Multi-Pool Model Fitting Approach for Pulsed Chemical Exchange Saturation Transfer MRI", 2019 8th International Conference on Bioinformatics and Biomedical Science (ICBBS 2019), Beijing, China, 2019.

15. W.J. Nyee, Y.C. Hum, T.Y. CHai, Y.K. Tee, "The Design and Development of Automated Knee Cartilage Segmentation Framework", 2019 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), Kuala Lumpur, Malaysia, 2019.

16. H.S. Cheong, W.S. Yap, Y.K. Tee, W.K. Lee, "Hierarchical Attention Networks for Different Types of Documents with Smaller Size of Datasets", 6th International Conference on Robot Intelligence Technology and Applications (RITA 2018), Putrajaya, Malaysia, 2018.

17. Y.H. Low, W.S. Yap, Y.K. Tee, "Convolutional Neural Network-based Collaborative Filtering for Recommendation Systems", 6th International Conference on Robot Intelligence Technology and Applications (RITA 2018), Putrajaya, Malaysia, 2018.

18. S.Y. Lee, W.S. Yap, ..., Y.K. Tee, "Investigate the impact of colour to grayscale conversion on sound recovery via visual microphone", 2nd International Conference on Imaging, Signal Processing and Communication (ICISPC 2018), Kuala Lumpur, Malaysia, 2018. 

19. S.Y. Lee, W.S. Yap, ..., Y.K. Tee, "Study the Effect of Commonly Used Video Compression Techniques on Sound Recovery via Negligible Object Vibrations for Visual Surveillance System", 2nd International Conference on Advances in Image Processing (ICAIP), Chengdu, China, 2018. 

20. H.K. Poon, W.S. Yap, Y.K. Tee et al., "Document level polarity classification with attention gated recurrent unit", 32nd ICOIN, Chiang Mai, Thailand 2018.

21. Y.K. Tee, B. Abidin, A. Khrapitchev et al., “CEST and NOE signals in ischemic stroke at 9.4T evaluated using a Lorentzian multi-pool analysis: a drop, an increase or no change?”, 25th ISMRM, Hawaii, US 2017.

22. Y. Msayib, G.W. Harston, Y.K. Tee et al., “Repeatability study of APT CEST quantification techniques for identication of ischaemic penumbra in stroke”, 25th ISMRM, Hawaii, US 2017.

23. G.W. Harston, Y.K. Tee et al., “Novel Imaging of Protein Integrity to Better Define Ischemic Injury After Stroke”, International Stroke Conference, Los Angeles, US 2016.

24. Y. Msayib, G.W. Harston, Y.K. Tee et al., “Assessing the suitability of common NOE modelling approximations in quantitative imaging of hyperacute stroke”, 32nd Annual Scientific Meeting of Euopean Society for Magnetic Resonance in Medicine and Biology, Edinburgh, UK 2015.

25. G. Harston, P. Mathieson, I. Reckless, U. Schulz, K. Shah, Y.K. Tee et al., “Defining the Ischaemic Penumbra with Combined Metabolic and Perfusion MR Imaging”, The XXVIIth International Symposium on Cerebral Blood Flow, Metabolism and Function & XIIth International Conference on Quantification of Brain Function with PET, Vancouver, Canada 2015.

26. G. Harston, P. Mathieson, I. Reckless, U. Schulz, K. Shah, Y.K. Tee et al., “The Dynamics of Intracellular pH are Associated with Final Tissue Outcome in Acute Ischaemic Stroke”, The European Stroke Organisation Conference, Glasgow, UK 2015.

27. Y.K. Tee, G.WJ. Harston, N.P. Blockley et al., “Can Nuclear Overhauser Enhancement Mediated Chemical Exchange Saturation Transfer (NOE-CEST) Offer a New Insight in Acute Stroke Diagnosis?”, 23rd ISMRM, Toronto, Canada 2015.

28. K. Ray, J. Larkin, Y.K. Tee et al., “Sensitivity of CEST MRI for absolute pH measurement in brain metastases”, 23rd ISMRM, Toronto, Canada 2015.

29. Y.K. Tee, G.WJ. Harston, N.P. Blockley et al., “Moving towards quantitative amide proton transfer (APT) imaging for stroke diagnosis”, CEST 2014 Workshop, Turin, Italy 2014.

30. Y.K. Tee, G.WJ. Harston, N.P. Blockley et al., “Assessing Different Amide Proton Transfer (APT) Quantification Methods in Hyper-acute Stroke Patients”, 22nd ISMRM-ESMRMB, Milan, Italy 2014.

31. Y.K. Tee, G.WJ. Harston, N.P. Blockley et al., “Generating Quantitative pH Maps in Hyper-acute Stroke Patients Using Amide Proton Transfer (APT) Imaging”, 22nd ISMRM-ESMRMB, Milan, Italy 2014.

32. G. Harston, Y. K. Tee, N. Blockley et al., “pH-weighted imaging in acute stroke using amide proton CEST,” 22nd ISMRM-ESMRMB, Milan, Italy 2014.

33. J. Levman, G. Harston, Y. K. Tee et al., “Tissue Outcome Prediction in Ischaemic Stroke with Diffusion, Perfusion and pH Sensitive CEST Imaging at Three Different Time Points,” 22nd ISMRM-ESMRMB, Milan, Italy 2014.

34. R. Frost, A.T. Hess, N.P. Blockley, Y.K. Tee et al., “Prospective motion correction with EPI volume navigators for chemical exchange saturation transfer (CEST) imaging”, 22nd ISMRM-ESMRMB, Milan, Italy 2014.

35. G.W.J. Harston, T. Okell, N. Blockley, M.A. Chappell, J. Levman, Y.K. Tee, et al., “Diffusion tensor imaging to identify structural change following lacunar stroke”, European Stroke Conference, London, UK 2013.

36. G.W.J. Harston, T. Okell, M.A. Chappell, N. Blockley, Y.K. Tee, J. Levman, et al., “Tissue outcome in acute ischemic stroke: how useful is perfusion?”, European Stroke Conference, London, UK 2013.

37. G.W.J. Harston, Y.K. Tee, M.A. Chappell et al., “pH-weighted imaging in acute stroke: can metabolic imaging help us better understand the penumbra?”, European Stroke Conference, London, UK 2013.

38. G.W.J. Harston, Y.K. Tee, M. Chappell et al., "pH-weighted imaging in acute stroke: how does it compare to conventional techniques?", The XXVIth International Symposium on Cerebral Blood Flow, Metabolism and Function & XIth International Conference on Quantification of Brain Function with PET, Shanghai, China 2013.

39. Y.K. Tee, M.J. Donahue, S.J. Payne, and M.A. Chappell, "Does it affect the quantification if amide proton transfer imaging is performed pre- or post-gadolinium contrast agent administration?", In: Proceedings of the 21st Annual Meeting of ISMRM, Salt Lake City, USA 2013. p 4234.

40. R. Ouwerkerk, Y.K. Tee, C.K. Jones, “Glycogen chemical exchange effects in 1H-MRS and glyco-CEST at 3T and 7T”, In: Proceedings of the 21st Annual Meeting of ISMRM, Salt Lake City, USA 2013, p 3990.

41. Y.K. Tee, S.J. Payne, and M.A. Chappell, “Optimal Sampling for Model-based Quantification of CEST”, OctoberCEST Workshop, Annapolis, MD, USA, 15 – 17 Oct 2012.

42. Y.K. Tee, A.A Khrapichev, N.R. Sibson, S.J. Payne, and M.A. Chappell, "Analyse the Important Fitted Parameters Using Pulsed Fitting and Continuous CEST Approximation for Pulsed CEST", In: Proceedings of the 20th Annual Meeting of ISMRM, Melbourne, Australia 2012. p 4262.

43. Y.K. Tee, A.A Khrapichev, M.J. Donahue, N.R. Sibson, S.J. Payne, and M.A. Chappell, "Analyzing the Minimum Discretization of Pulses Required to Speed Up Model-based Analysis for Pulsed CEST", In: Proceedings of the 20th Annual Meeting of ISMRM, Melbourne, Australia 2012. p 4260.

44. Y.K. Tee, M.A. Chappell, J. Xie, and S.J. Payne, "CEST sensitivity functions based sampling schedule", In: Proceedings of the 19th Annual Meeting of ISMRM, Montreal, Canada 2011. p 4491.

45. M.A. Chappell, M.J. Donahue, Y.K. Tee, P. Jezzard, and S.J. Payne, "Quantitative Model-Based Analysis of Amide Proton Transfer MRI", In: Proceedings of the 19th Annual Meeting of ISMRM, Montreal, Canada 2011. p 4490.

46. Y.K. Tee, S.K. Tiong, J. Koh, Y. David, "Artificial intelligent power prediction for efficient resource management of WCDMA mobile network", 14th Asia-Pacific Conference on Communications, APCC 2008, art. no. 4773836, pp 1-5.

47. Y.K. Tee, S.K. Tiong, J. Koh, E.C. Yeoh, “Hybrid artificial intelligent algorithm for call admission control in WCDMA mobile network”, Proceedings of IEEE 2008 6th National Conference on Telecommunication Technologies and IEEE 2008 2nd Malaysia Conference on Photonics, NCTT-MCP 2008, art. no. 4814303, pp 362-366.

Book/Book Chapter

1. A. Mehndiratta, Y.K. Tee, M.A. Chappell, F.L. Giesel, “An Introduction to Brain Tumor Imaging”, M.A. Hayat (Ed.), Tumors of the Central Nervous System, Volume 11, 2014, pp 3-20. 

2. "Engineering and Science: UTAR LKC FES 2022 Colloquium", Y.K. Tee (Ed.), UTAR Press, 2023, eISBN 978-967-2477-15-0.  [eBook Link][Indexed Link}

3. "Engineering and Science: UTAR LKC FES 2023 Colloquium", Y.K. Tee (Ed.), UTAR Press, 2024, eISSN 3030-590X. [Link]