IPEM Congratulates the 2024 MLAF prize winners
IPEM sends warm congratulations to the 2024 MLAF prize winners. The IPEM Student Prize is presented for the best project on an IPEM-accredited MSc course. The winners each receive £250 and a certificate. On winning their prizes these winners said the following:
"I am honoured to receive the IPEM prize, and would like to thank my lecturers and supervisors along the way for their encouragement and support.” - Rhys Jenkins
"I am truly honoured to have my work recognized by IPEM and to be nominated for an MLAF award. It’s incredibly rewarding to see my research into the use of AI auto-contouring for MR-Only gynae brachytherapy gaining attention." - George McKevitt
"The MSc at the University of Glasgow was an invaluable first step towards becoming a clinical scientist, allowing me to gain practical experience in a clinical setting while learning from and collaborating with clinical scientists in the NHS." - Hannah Jennings
This years prize winners are:
Ciara Harrison, King's College London: Development of a Phantom for Assessment of Signal-to-Noise Ratio in Whole-Body Diffusion-Weighted MRI
George Petkov, University of Oxford: A Machine Learning PyTorch-Based Approach for Multiple Sclerosis Diagnosis and Staging Using T1 and T2-Weighted, FLAIR, and Hyperpolarised 13C MRI Images of the Brain
Bruna Rafaela Silva Graca, Keele University: A Medical Device Regulatory Roadmap For Software
Liam Jones, King's College London: Investigating the Prospective Impact of Adopting an Anaesthetic Gas Capture System
Stephanie Akintunde, Keele University: Optimizing Stem Cell Delivery for Ischemic Stroke Treatment Using a Microfluidic Model
Rhys Jenkins, Swansea University: The Introduction of Three-Dimensional Technologies to a Radiotherapy Physics
Hannah Jennings, University of Glasgow: Validation of Fluorine 19 MRI using a dual-tuned19F/1H 8-channel body array coil at 3T
Faezeh Ehsanirad, University of Surrey: Investigating Bacterial Motility in Viscous Environments: Influence of Viscosity on E. coli Swimming Behaviour
George McKevitt, University of Liverpool: Assessment of the feasibility, accuracy and dosimetric impact of AI-generated OAR outlines in MR-only IGBT for Cervical Cancer
Lorna Merrett, University of Strathclyde: Active Nematics in Biological Systems
Leow Hulchin, University of Malaya: Implementation of deep learning for chest x-ray classification
Connor Creasey, University College London: A Serious Game to Study the Effects of Field of View in Keyhole Surgery
Hannah Olds, University of Aberdeen: Implementing Image Fusion as a Surgical aid in Middle Ear Cholesteatoma