Zhao T. Diagnosing brain tumours through functional imaging and machine learning, University of Birmingham, 2023 [Archive]
First-author journal articles
Zhao T, Rose HER, Grist JT, MacPherson L, Li, H, Arvanitis TN, Apps JR, Peet AC. Accurate paediatric brain tumour classification through improved quantitative analysis of 1H MR imaging and spectroscopy. Expected to be re-submitted after first-round review in late February 2025.
Zhao T, Rose HER, Avula S, Davies NP, Dineen R, MacPherson L, Mankad K, Mitra D, Morgan PS, Novak J, Sun Y, Wilson M, Worthington L, Grundy R, Arvanitis TN, Apps JR, Peet AC. MIROR: A magnetic resonance-based clinical decision support system for paediatric oncology. Expected to be submitted in late February 2025.
Zhao T, Grist JT, Auer DP, Avula S, Bailey S, Davies NP, Grundy RG, Khan O, MacPherson L, Morgan PS, Pizer B, Rose HEL, Sun Y, Wilson M, Worthington L, Arvanitis TN, Peet AC. Noise suppression of proton magnetic resonance spectroscopy improves paediatric brain tumour classification. NMR Biomed. 2024 Jun;37(6):e5129. doi: 10.1002/nbm.5129. Epub 2024 Mar 17. PMID: 38494431. [PubMed]
Zhao T, Grist JT, Rose HEL, Davies NP, Wilson M, MacPherson L, Abernethy LJ, Avula S, Pizer B, Gutierrez DR, Jaspan T, Morgan PS, Mitra D, Bailey S, Sawlani V, Arvanitis TN, Sun Y, Peet AC. Metabolite selection for machine learning in childhood brain tumour classification. NMR Biomed. 2022 Jun;35(6):e4673. doi: 10.1002/nbm.4673. Epub 2022 Jan 27. PMID: 35088473. [PubMed]
Zhao T, Sun Y, Wan S, Wang F. SFST: a robust framework for heart rate monitoring from photoplethysmography signals during physical activities. Biomed Signal Process Control. 2017 33:316-324. doi: 10.1016/j.bspc.2016.12.005 [Full text]
First-author conference abstracts, oral
Zhao T, Rose HER, Avula S, Davies NP, Dineen R, MacPherson L, Mankad K, Mitra D, Morgan PS, Novak J, Sun Y, Wilson M, Worthington L, Grundy R, Arvanitis TN, Apps JR, Peet AC. Development of a magnetic resonance based clinical decision support system for paediatric neuro-oncology. Children's Cancer and Leukaemia Group Annual Conference, Birmingham, England. 24—25 March 2025.
Zhao T, Burling S, MacPherson S, Worthington L, Arvanitis TN, Peet AC. MIROR: The clinical decision support system with functional imaging and machine learning. Annual Conference of the International Society of Magnetic Resonance in Medicine, Singapore. 4—9 May 2024. [Archive]
Zhao T, MacPherson, Worthington L, Apps JR, Arvanitis TN, Peet A, MIROR Development Team, MIROR: Automatic brain tumour diagnosis with functional imaging and machine learning. Child Health Technology Annual Conference, Sheffield, England. 08—09 November 2023.
Zhao T, Grist JT, Peet AC. Adaptive wavelet noise suppression in magnetic resonance spectroscopy for paediatric brain tumour diagnosis. British Chapter of the International Society of Magnetic Resonance in Medicine Medical Imaging-Deep Learning satellite meeting, London, England. 11 July 2019.
First-author conference abstracts, poster
Zhao T, Apps JR, Peet AC. Computational MR-based models for paediatric brain tumour diagnosis. Cancer Research UK Brain Tumour Conference. London, England, 2024.
Zhao T, Avula S, Bailey S, Burling S, Jaspan T, MacPherson L, Mitra D, Morgan PS, Pizer B, Shen RS, Wilson M, Worthington L, Arvanitis TN, Peet AC, Apps JR. A multi-layer binary model with adaptive metabolite selection for multi-type brain tumour classification. Annual Conference of the International Society of Magnetic Resonance in Medicine. Singapore, 2024. Vol 32, pp 6117. [Archive]
Zhao T, Burling S, MacPherson L, Worthington L, Arvanitis TN, Apps JR, Peet AC. MIROR: The clinical decision support system with functional imaging and machine learning. Annual Conference of the International Society of Magnetic Resonance in Medicine. Singapore, 2024. Vol 32, pp 6391. [Archive]
Zhao T, Grist JT, Rose HEL, Li H, MacPherson L, Sun Y, Peet AC. Childhood brain tumour classification through proton magnetic resonance spectroscopy and diffusion weighted imaging. Annual Conference of the International Society of Magnetic Resonance in Medicine. Online, 2021. Vol 29, pp 3931. [Archive]
Zhao T, Grist JT, Rose HEL, Sun Y, Peet AC. Wavelet oversampling for imbalance childhood brain tumor classification. Annual Conference of the International Society of Magnetic Resonance in Medicine. Online, 2021. Vol 29, pp 0937. [Archive]
Zhao T, Grist JT, Sun Y, Sawlani V, Peet AC. Optimised paediatric brain tumour diagnosis by using in vivo MRS and machine learning. Annual Conference of the International Society of Magnetic Resonance in Medicine. Sydney, Australia, 2020. Vol 28, pp 4686. [Archive]
Zhao T, Grist JT, Sun Y, Peet AC. Impact of wavelets and apodisation in magnetic resonance spectroscopy quality for paediatric brain tumours. Annual Conference of the International Society of Magnetic Resonance in Medicine. Montréal, Canada, 2019. Vol 27, pp 4243. [Archive]
Zhao T, Grist JT, Sun Y, Peet AC. Improved classification of paediatric brain tumours through whole spectra from in vivo magnetic resonance spectroscopy. Annual Conference of the International Society of Magnetic Resonance in Medicine. Montréal, Canada, 2019. Vol 27, pp 3083. [Archive]
Zhao T, Qing Z, Zhang B, Sun Y. Diagnosis of Alzheimer's diseases using hippocampal metabolite ratios at the subfield level. Annual Conference of the International Society of Magnetic Resonance in Medicine. Montréal, Canada, 2019. Vol 27, pp 3052. [Archive]
Zhao T, Miao D, Shen R, Wang F, Zhu B, Sun Y, Zhang B. A pilot study of lateral ventricle volume from in utero foetal brain magnetic resonance imaging. Annual Conference of the International Society of Magnetic Resonance in Medicine. Montréal, Canada, 2017. Honolulu, USA. Vol 25, pp 2281. [Archive]