Dr Kevin Teh
Clinical Medicine, School of Medicine and Population Health
Postdoctoral Researcher in Neuroimaging
K.Teh@sheffield.ac.uk
+44 114 215 9151
+44 114 215 9151
Polaris
Full contact details
Dr Kevin Teh
Clinical Medicine, School of Medicine and Population Health
Polaris
18 Claremont Crescent
Sheffield
S10 2TA
Clinical Medicine, School of Medicine and Population Health
Polaris
18 Claremont Crescent
Sheffield
S10 2TA
- Publications
-
Show: Featured publications All publications
Featured publications
Journal articles
- Somatosensory network functional connectivity differentiates clinical pain phenotypes in diabetic neuropathy. Diabetologia. View this article in WRRO
- Imbalanced learning: Improving classification of diabetic neuropathy from magnetic resonance imaging. PLoS ONE, 15(12). View this article in WRRO
- 533-P: Predicting Treatment Response in Painful Diabetic Neuropathy Using Magnetic Resonance Brain Imaging. Diabetes, 69(Supplement 1), 533-P.
- Determinants of Treatment Response in Painful Diabetic Peripheral Neuropathy: A Combined Deep Sensory Phenotyping and Multimodal Brain MRI Study. Diabetes, 69(8), 1804-1814.
Conference proceedings papers
- Central brain mechanisms that predict treatment response in painful diabetic neuropathy. DIABETOLOGIA, Vol. 62 (pp S15-S16)
- Central pain signature for painful diabetic neuropathy (DN) derived from magnetic resonance imaging. DIABETOLOGIA, Vol. 62 (pp S17-S17)
- Regional brain volume reduction in diabetic peripheral neuropathy: a magnetic resonance imaging volumetry study. DIABETOLOGIA, Vol. 61 (pp S33-S33)
- Pain network functional connectivity in painful diabetic neuropathy: Resting State Functional MRI study. DIABETOLOGIA, Vol. 61 (pp S32-S33)
All publications
Journal articles
- 477-P: Thalamic Mitochondrial and Neuronal Function Is Preserved in Painful Diabetic Peripheral Neuropathy—A Multimodal Magnetic Resonance Imaging Study. Diabetes, 72(Supplement_1).
- 104-OR: Identifying Painful Diabetic Neuropathy Subtypes from Resting-State Functional Magnetic Resonance Brain Imaging—A Novel Unsupervised Machine Learning Approach. Diabetes, 72(Supplement_1).
- 478-P: Brain Volume Changes after Long-Term Opioid Treatment in Painful Diabetic Peripheral Neuropathy. Diabetes, 72(Supplement_1).
- 457-P: Increase in Functional Connectivity of the Thalamus to the Primary Somatosensory Cortex and Insular Cortex after Withdrawal of Neuropathic Pain Medication: A Potential Biomarker of Painful-DPN. Diabetes, 71(Supplement_1).
- 455-P: Artificial Intelligence Approach to Treatment Classification in Painful Diabetic Neuropathy. Diabetes, 71(Supplement_1).
- 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).
- 210-OR: Cerebral Morphometric Alterations in Painless and Painful Diabetic Peripheral Neuropathy. Diabetes, 70(Supplement 1), 210-OR.
- 422-P: Intrinsic Brain Connectivity in Chronic Painful Diabetic Neuropathy: A Resting-State fMRI Study. Diabetes, 70(Supplement 1), 422-P.
- Somatosensory network functional connectivity differentiates clinical pain phenotypes in diabetic neuropathy. Diabetologia. View this article in WRRO
- Imbalanced learning: Improving classification of diabetic neuropathy from magnetic resonance imaging. PLoS ONE, 15(12). View this article in WRRO
- 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).
- 533-P: Predicting Treatment Response in Painful Diabetic Neuropathy Using Magnetic Resonance Brain Imaging. Diabetes, 69(Supplement 1), 533-P.
- Determinants of Treatment Response in Painful Diabetic Peripheral Neuropathy: A Combined Deep Sensory Phenotyping and Multimodal Brain MRI Study. Diabetes, 69(8), 1804-1814.
- 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.
- 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
- Slice profile effects in 2D slice-selective MRI of hyperpolarized nuclei. Journal of Magnetic Resonance, 202(2), 180-189.
- Rapid Prototyping Raw Models on the Basis of High Resolution Computed Tomography Lung Data for Respiratory Flow Dynamics. Academic Radiology, 16(4), 495-498.
- Asymmetric quadrature split birdcage coil for hyperpolarized3He lung MRI at 1.5T. Magnetic Resonance in Medicine, 60(2), 431-438.
- 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.
- Radiation-damping effects in a birdcage resonator with hyperpolarised 3He gas NMR at 1.5T. Journal of Magnetic Resonance, 185(1), 164-172.
- Steady-state free precession with hyperpolarized 3He: Experiments and theory. Journal of Magnetic Resonance, 183(1), 13-24.
- Parallel imaging of hyperpolarized helium-3 with simultaneous slice excitation. Magnetic Resonance in Medicine, 55(2), 258-262.
- Increased thalamocortical functional connectivity on discontinuation of treatment in painful diabetic peripheral neuropathy. Diabetes.
- Structural Brain Alterations in Key Somatosensory and Nociceptive Regions in Diabetic Peripheral Neuropathy. Diabetes Care.
- Deep Learning Classification of Treatment Response in Diabetic Painful Neuropathy: A Combined Machine Learning and Magnetic Resonance Neuroimaging Methodological Study. Neuroinformatics.
Chapters
- Central Nervous System Involvement in Painful Diabetic Neuropathy, Contemporary Diabetes (pp. 427-438). Springer International Publishing
Conference proceedings papers
- Leveraging artificial intelligence for predicting placebo vs treatment response in painful diabetic neuropathy. DIABETOLOGIA, Vol. 67 (pp S444-S444)
- A novel data driven machine learning approach to identify painful diabetic neuropathy subtypes from resting-state functional magnetic resonance brain imaging. DIABETIC MEDICINE, Vol. 40
- Preservation of thalamic mitochondrial and neuronal function in painful diabetic peripheral neuropathy: A multi-modal magnetic resonance imaging study. DIABETIC MEDICINE, Vol. 40
- Using artificial intelligence to identify patients with painful diabetic neuropathy: A resting-state functional magnetic resonance brain imaging study. DIABETIC MEDICINE, Vol. 40
- Cerebral dopamine receptor engagement and treatment response: a resting-state functional magnetic resonance imaging study in painful diabetic neuropathy. DIABETOLOGIA, Vol. 66(SUPPL 1) (pp S469-S469)
- Preservation of thalamic mitochondrial and neuronal function in Painful-Diabetic Peripheral Neuropathy: a multi-modal cerebral imaging study. DIABETOLOGIA, Vol. 66(SUPPL 1) (pp S106-S106)
- Increased functional connectivity of the thalamus to the primary somatosensory cortex and insular cortex following treatment withdrawal: A potential biomarker of painful-diabetic peripheral neuropathy. DIABETIC MEDICINE, Vol. 39
- Increased functional connectivity of the Thalamus and primary Somatosensory cortex and insular cortex following treatment withdrawal: a potential biomarker of painful-DPN. DIABETOLOGIA, Vol. 65(SUPPL 1) (pp S99-S99)
- Better target engagement of opioid receptor systems in responders to neuropathic pain treatment: a neurotransmitter-enriched functional connectivity mapping study. DIABETOLOGIA, Vol. 65(SUPPL 1) (pp S99-S99)
- Identification of painful diabetic neuropathy subtypes from functional connectivity resting state MRI patterns: a novel data driven machine learning approach. DIABETOLOGIA, Vol. 65(SUPPL 1) (pp S380-S380)
- Better target engagement of opioid receptor systems in responders to neuropathic pain treatment: A resting-state functional magnetic resonance imaging study in painful diabetic neuropathy. DIABETIC MEDICINE, Vol. 39
- Deep learning Artificial Intelligence approach to treatment classification in painful diabetic neuropathy. DIABETIC MEDICINE, Vol. 39
- Morphometric abnormalities of the brain in diabetic peripheral neuropathy. DIABETOLOGIA, Vol. 64(SUPPL 1) (pp 33-34)
- A novel, multimodal magnetic resonance imaging and a machine learning approach to classifying sensory phenotypes in painful DPN. DIABETOLOGIA, Vol. 64(SUPPL 1) (pp 316-317)
- Morphometric abnormalities in the brain in painless and painful diabetic peripheral neuropathy. DIABETIC MEDICINE, Vol. 38
- Abnormal somatosensory cortex functional connectivity in painful diabetic neuropathy: Clues to the pathogenesis of different sensory clinical phenotypes of neuropathic pain: A novel, multimodal magnetic resonance imaging study. DIABETIC MEDICINE, Vol. 38
- Diabetic painful neuropathy treatment response with deep learning classification. DIABETOLOGIA, Vol. 64(SUPPL 1) (pp 313-314)
- Using magnetic resonance imaging to phenotype patients with painful diabetic neuropathy. DIABETIC MEDICINE, Vol. 37 (pp 143-143)
- Central brain mechanisms that predict treatment response in painful diabetic neuropathy. DIABETOLOGIA, Vol. 62 (pp S15-S16)
- Central pain signature for painful diabetic neuropathy (DN) derived from magnetic resonance imaging. DIABETOLOGIA, Vol. 62 (pp S17-S17)
- Localised brain volume differences and cognitive status in subjects with type 2 diabetes. DIABETOLOGIA, Vol. 61 (pp S521-S521)
- Regional brain volume reduction in diabetic peripheral neuropathy: a magnetic resonance imaging volumetry study. DIABETOLOGIA, Vol. 61 (pp S33-S33)
- Cerebral blood flow and cognitive function in type 2 diabetes. DIABETOLOGIA, Vol. 61 (pp S525-S525)
- Pain network functional connectivity in painful diabetic neuropathy: Resting State Functional MRI study. DIABETOLOGIA, Vol. 61 (pp S32-S33)
- The Application of FunctIonal Renal MRI to improve assessment of Chronic Kidney Disease (AFiRM) Study. ISMRM Annual Meeting, 4 May 2024 - 9 May 2024.
- dbdicom: an open-source python interface for reading and writing DICOM databases. ISMRM Annual Meeting, 3 June 2023 - 8 June 2023.