ASL, angiography & trajectories8 notes
  1. 4D Combined Angiography and Perfusion using Radial Imaging and Arterial Spin Labeling Historical note
  2. Advances in arterial spin labelling MRI methods for measuring perfusion and collateral flow Historical note
  3. Arterial spin labeling for the measurement of cerebral perfusion and angiography Historical note
  4. Combined angiography and perfusion using radial imaging and arterial spin labeling Historical note
  5. Design and Analysis of a Practical 3D Cones Trajectory Historical note
  6. Free-Breathing Pediatric Chest MRI Performance of Self-Navigated Golden- Angle Ordered Conical Ultrashort Echo Time Acquisition Historical note
  7. Hybrid Radial-Cones Trajectory for Accelerated MRI Historical note
  8. Improved Golden Ratio Radial Arterial Spin Labeling Angiography Reconstruction using k-t Sparsity Constraints Historical note
Reconstruction, sampling & parallel imaging10 notes
  1. An Introduction to Compressive Sensing Historical note
  2. Compressed Sensing MRI Historical note
  3. Deep MRI Reconstruction Unrolled Optimization Algorithms Meet Neural Networks Historical note
  4. Deep-Learning Methods for Parallel Magnetic Resonance Image Reconstruction Historical note
  5. Nonuniform Fast Fourier Transforms Using Min-Max Interpolation Historical note
  6. Recent advances in parallel imaging for MRI Historical note
  7. Reconstruction of Non-Cartesian Data Historical note
  8. Sampling Density Compensation in MRI Rationale and an Iterative Numerical Solution Historical note
  9. Sparse MRI The Application of Compressed Sensing for Rapid MR Imaging Historical note
  10. Wave-CAIPI for Highly Accelerated 3D Imaging Historical note
Diffusion MRI & microstructure10 notes
  1. A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging Historical note
  2. An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging Historical note
  3. Diffusion MRI From Quantitative Measurement to In-vivo Neuroanatomy Historical note
  4. Model-Based Deep Learning for Reconstruction of Joint k-q Under-sampled High Resolution Diffusion MRI Historical note
  5. Monte Carlo study of a two-compartment exchange model of diffusion Historical note
  6. Non-parametric representation and prediction of single- and multi-shell diffusion-weighted MRI data using Gaussian processes Historical note
  7. Physical and numerical phantoms for the validation of brain microstructural MRI A cookbook Historical note
  8. Quantifying brain microstructure with diffusion MRI Theory and parameter estimation Historical note
  9. Random walks with barriers Historical note
  10. Realistic simulation of artefacts in diffusion MRI for validating post-processing correction techniques Historical note
Foundations & course notes3 notes
  1. Pattern Recognition and Machine Learning Historical note
  2. RAD229-MR signals and sequences Historical note
  3. 问题: Historical note

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