Publications

PhD Thesis

• Diagnosing brain tumours through functional imaging and machine learning, University of Birmingham, 2023

First-Author Journal Articles

• J12 Hilbert transforms in magnetic resonance spectroscopy, in preparation.
• J11 Wavelet oversampling for proton magnetic resonance spectroscopy, in preparation.
• J10 Spectrum-based classification of proton magnetic resonance spectroscopy, in preparation.
• J9 Medulloblatoma subtyping with proton magnetic resonance spectroscopy, in preparation.
• J8 Noise suppressed magnetic resonance spectroscopy improves glioma identification, in preparation.
• J7 Adaptive wavelet noise suppression, in preparation.
• J6 Binary adaptive metabolite selection for multi-type childhood brain tumour classification, in preparation.
• J5 MIROR: A clinical decision support system for paediatric oncology, in preparation.
• J4 Precise childhood brain tumour classification though diffusion weighted magnetic resonance imaging and proton magnetic resonance spectroscopy, under review.
• J3 Noise suppression of clinical magnetic resonance spectroscopy improves brain tumour classification, under minor revision
• J2 Metabolite selection for machine learning in childhood brain tumour classification, NMR in Biomedicine, 2022
• J1 SFST: A robust framework for heart rate monitoring from photoplethysmography signals during physical activities, Biomedical Signal Processing and Control, 2017

First-Author Reviews

• R1 A systemic review of diagnostic metabolites in paediatric neuro-oncology, in preparation

First-Author Conference Abstracts

• C11 A multi-layer binary model with adaptive metabolite selection for multi-type brain tumour classification, under review
• C10 MIROR: The Clinical Decision Support System with Functional Imaging and Machine Learning, under review
• C9 MIROR: automatic brain tumour diagnosis with functional imaging and machine learning, CHT 2023
• C8 Multi-type childhood brain tumour identification through metabolite profiles, Brain 2023
• C7 Childhood brain tumour classification through proton magnetic resonance spectroscopy and diffusion weighted imaging, ISMRM 2021
• C6 Wavelet oversampling for imbalance childhood brain tumor classification, ISMRM 2021
• C5 Optimised paediatric brain tumor diagnosis by using in vivo MRS and machine learning, ISMRM 2020
• C4 Diagnosis of Alzheimer's diseases using hippocampal metabolite ratios at the subfield level, ISMRM 2019
• C3 Impact of wavelets and apodisation in magnetic resonance spectroscopy quality for paediatric brain tumours, ISMRM 2019
• C2 Improved classification of paediatric brain tumours through whole spectra from in vivo magnetic resonance spectroscopy, ISMRM 2019
• C1 A pilot study of lateral ventricle volume from in utero foetal brain MRI, ISMRM 2017