We currently have 40 projects
Latest project
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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