Dr Kevin Teh

All publications

Journal articles

• TEH K, SLOAN GP, WILKINSON ID, TESFAYE S & SELVARAJAH D (2022) 84-OR: Responders to Neuropathic Pain Treatment Have Greater Target Engagement of Opioid Receptor Systems: A Resting State Functional Magnetic Resonance Imaging Study in Painful Diabetic Neuropathy. Diabetes, 71(Supplement_1).
• SLOAN GP, SELVARAJAH D, TEH K, SHILLO PR, WILKINSON ID & TESFAYE S (2021) 210-OR: Cerebral Morphometric Alterations in Painless and Painful Diabetic Peripheral Neuropathy. Diabetes, 70(Supplement 1), 210-OR.
• TEH K, WILKINSON ID, SHILLO PR, SLOAN GP, TESFAYE S & SELVARAJAH D (2021) 422-P: Intrinsic Brain Connectivity in Chronic Painful Diabetic Neuropathy: A Resting-State fMRI Study. Diabetes, 70(Supplement 1), 422-P.
• Teh K, Wilkinson ID, Heiberg-Gibbons F, Awadh M, Kelsall A, Pallai S, Sloan G, Tesfaye S & Selvarajah D (2021) Somatosensory network functional connectivity differentiates clinical pain phenotypes in diabetic neuropathy. Diabetologia. View this article in WRRO
• Teh K, Armitage P, Tesfaye S, Selvarajah D & Wilkinson ID (2020) Imbalanced learning: Improving classification of diabetic neuropathy from magnetic resonance imaging. PLoS ONE, 15(12). View this article in WRRO
• Dake MD, De Marco M, Wilkinson I, Teh K, Mitolo M, Remes A, Liu Y, Pikkarainen M, Soininen H & Venneri A (2020) Exploring the effect of type 2 diabetes on brain structure and cerebral perfusion in patients with early Alzheimer’s disease. Alzheimer's & Dementia, 16(S4).
• TEH K, WILKINSON ID, SLOAN GP, TESFAYE S & SELVARAJAH D (2020) 533-P: Predicting Treatment Response in Painful Diabetic Neuropathy Using Magnetic Resonance Brain Imaging. Diabetes, 69(Supplement 1), 533-P.
• Wilkinson ID, Teh K, Heiberg-Gibbons F, Awadh M, Kelsall A, Shillo P, Sloan G, Tesfaye S & Selvarajah D (2020) Determinants of Treatment Response in Painful Diabetic Peripheral Neuropathy: A Combined Deep Sensory Phenotyping and Multimodal Brain MRI Study. Diabetes, 69(8), 1804-1814.
• SELVARAJAH D, TEH K, SLOAN GP, SHILLO PR, WILKINSON ID & TESFAYE S (2019) 326-OR: A Novel Machine Learning Analysis of Brain Multimodal Magnetic Resonance Imaging Classifies Painful Diabetic Neuropathic Pain Severity with High Accuracy. Diabetes, 68(Supplement 1), 326-OR.
• Meineke J, Wenzel F, De Marco M, Venneri A, Blackburn DJ, Teh K, Wilkinson ID & Katscher U (2018) Motion artifacts in standard clinical setting obscure disease-specific differences in quantitative susceptibility mapping.. Physics in Medicine and Biology, 63(14), 14nt01-14nt01. View this article in WRRO
• Deppe MH, Teh K, Parra-Robles J, Lee KJ & Wild JM (2010) Slice profile effects in 2D slice-selective MRI of hyperpolarized nuclei. Journal of Magnetic Resonance, 202(2), 180-189.
• Giesel FL, Mehndiratta A, von Tengg-Kobligk H, Schaeffer A, Teh K, Hoffman EA, Kauczor H-U, van Beek EJR & Wild JM (2009) Rapid Prototyping Raw Models on the Basis of High Resolution Computed Tomography Lung Data for Respiratory Flow Dynamics. Academic Radiology, 16(4), 495-498.
• De Zanche N, Chhina N, Teh K, Randell C, Pruessmann KP & Wild JM (2008) Asymmetric quadrature split birdcage coil for hyperpolarized3He lung MRI at 1.5T. Magnetic Resonance in Medicine, 60(2), 431-438.
• Wild JM, Woodhouse N & Teh K (2007) Single-scan acquisition of registered hyperpolarized3He ventilation and ADC images using a hybrid 2D gradient-echo sequence. Magnetic Resonance in Medicine, 57(6), 1185-1189.
• Teh K, de Zanche N & Wild JM (2007) Radiation-damping effects in a birdcage resonator with hyperpolarised 3He gas NMR at 1.5T. Journal of Magnetic Resonance, 185(1), 164-172.
• Wild JM, Teh K, Woodhouse N, Paley MNJ, Fichele S, de Zanche N & Kasuboski L (2006) Steady-state free precession with hyperpolarized 3He: Experiments and theory. Journal of Magnetic Resonance, 183(1), 13-24.
• Teh K, Lee KJ, Paley MNJ & Wild JM (2006) Parallel imaging of hyperpolarized helium-3 with simultaneous slice excitation. Magnetic Resonance in Medicine, 55(2), 258-262.
• Teh K, Armitage P, Tesfaye S & Selvarajah D () Deep Learning Classification of Treatment Response in Diabetic Painful Neuropathy: A Combined Machine Learning and Magnetic Resonance Neuroimaging Methodological Study. Neuroinformatics.

Conference proceedings papers

• Wilkinson I, Teh K, Heiberg-Gibbons F, Awadh M, Pallai S, Kelsall A, Sloan G, Tesfaye S & Selvarajah D (2019) Central brain mechanisms that predict treatment response in painful diabetic neuropathy. DIABETOLOGIA, Vol. 62 (pp S15-S16)
• Selvarajah D, Teh K, Palai S, Sloan G, Tesfaye S & Wilkinson I (2019) Central pain signature for painful diabetic neuropathy (DN) derived from magnetic resonance imaging. DIABETOLOGIA, Vol. 62 (pp S17-S17)
• Wilkinson ID, Hunt L, Teh K, Tesfaye S & Selvarajah D (2018) Localised brain volume differences and cognitive status in subjects with type 2 diabetes. DIABETOLOGIA, Vol. 61 (pp S521-S521)
• Tesfaye S, Pallai S, Heiberg-Gibbons F, Teh K, Wilkinson ID & Selvarajah D (2018) Regional brain volume reduction in diabetic peripheral neuropathy: a magnetic resonance imaging volumetry study. DIABETOLOGIA, Vol. 61 (pp S33-S33)
• Hunt L, Selvarajah D, Teh K, Tesfaye S & Wilkinson ID (2018) Cerebral blood flow and cognitive function in type 2 diabetes. DIABETOLOGIA, Vol. 61 (pp S525-S525)
• Selvarajah D, Wilkinson ID, Awadh M, Teh K, Pallai S & Tesfaye S (2018) Pain network functional connectivity in painful diabetic neuropathy: Resting State Functional MRI study. DIABETOLOGIA, Vol. 61 (pp S32-S33)