We currently have 40 projects

Developing a multimodal imaging approach to characterize tumoral heterogeneity of advanced nasopharyngeal carcinoma

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Proximal-Nets: Unfolding Proximal Algorithms for Accelerating and Improving MR Image Reconstruction

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Joint Variational Reconstruction and Motion Estimation via Sparse Dictionary Learning for Robust Optical Flow

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Automated assessment of disease progression in Idiopathic Pulmonary Fibrosis

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Developing a Predictive Model Integrating Machine Learning and Image Inpainting to Delineate Tumour Invasion in Glioblastoma

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Multi-task Transfer Learning for Deep Convolutional Neural Network in Automatic Classification of Mammography

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Unsupervised Brain tumor and abnormality detection

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Fundamentals of models and sampling in undersampled acquisitions

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Undersampled Helium Atom Microscopy for resolution enhancement

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The Complete Inversion Formulation For EEG and MEG

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A-B quasiconvexity and imaging processing

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Numerical analysis of bi-level parameter training scheme in total variation image reconstruction

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Mapping zebrafish cell migration in vivo

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Flow of microtubules in the Drosophila oocyte

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Characterising blood flow in haemoglobin image sequences

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Cellular mechanics of Drosophila

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A Simultaneous Reconstruction and Motion Estimation Approach for Improving Undersampled MRI Reconstruction

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Restoring Specular-Free Video Sequences from Rank-Constrained Data

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Automated Classification of Osteoarthritis with Textural Analysis of Magnetic Resonance Images

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DeepCardio: towards a better prediction of heart attacks and stroke using a machine learning approach

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Radiomics: Calcium scoring and textural analysis for the prediction of heart attack and stroke

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Visualisation of bone asymmetry in CT data

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Computer-aided detection and personalised screening in breast imaging

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Multi-modal image analysis in cancer research

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Robustness of fMRI interpretations to modelling assumptions

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Joint reconstruction and segmentation from undersampled MRI data

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Mixed Effects Model of High-dimensional Irregular Shaped Tensors on Manifolds

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Learning Image Registration

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Electron Microscopy in Medical Research

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Learning a Sampling Pattern for MRI

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Photoacoustic tomography - Variational Methods for Improving Spatial Resolution

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Unsupervised analysis of tumour vascular parameters in photoacoustic tomography

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Fidelity enhancement in NMR spectroscopy for assisted drug design

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Super-Resolved Diffusion Tensor Imaging

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Faster PET Reconstruction by Stochastic Optimization

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Reconstruction of endoscopic images

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Image reconstruction from Fourier samples

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Feature extraction in high-dimensional data

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Numerical modelling of coronary atherosclerotic plaques

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Assessing the rupture risk of abdominal aortic aneurysm based on multi-modal clinical imaging

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