Segmentation techniques for noisy MRI scans

A Numerically Efficient Implementation of the DI-MCRD model in 3D

Computing Resonant States of a Quantum Mechanical Three-body Problem on Supercomputers

Prediction of the clinical outcome of NMIBC using Artificial Intelligence

Robust optimization in intensity modulated proton therapy treatment planning

Speeding up proton therapy optimization algorithms using GPU-acceleration

Total Least Squares: Comparing Least Squares Methods for Signal Reconstruction

Detecting Fog using Machine Learning and Investigating the Possibilities of Generating Synthetic Data

Modelling Breast Cancer Treatment: Mechanically Coupled Reaction-Diffusion model to predict tumour response in HER2+ patients

Model Order Reduction Methods for Topology Optimization

Exploring persistent homology as a method for capturing functional connectivity differences in Parkinson’s Disease

Can You Parallelize Time?: Moving through the complexity of time

Cardiac perfusion imaging using blood flow saturation in simultaneous multi-slice cine MRI

Image Reconstruction for a Handheld Low-Field MRI Scanner via Deep Learning

Predicting Tumour Response: Using magnetic resonance imaging to predict tumour response of HER2+ breast cancer patients

ILC detection: Applying image processing and deep learning to improve the detection of Invasive Lobular Carcinoma using mammography

Automatic Segmentation of Low-Field MRI Brain Scans by Integrating Analytic and Deep Learning Techniques

Sequence optimisation for Magnetic Resonance Fingerprinting

Image processing on the EDGE-TPU

Model based image reconstruction for low-field hand-held MRI: On imaging using field geometry and sample translations