A5092108186- Medical Image Segmentation Techniques
- Advanced Neuroimaging Techniques and Applications
- Advanced Neural Network Applications
- Neural Networks and Reservoir Computing
- Tensor decomposition and applications
- Art History and Market Analysis
- Quantum Computing Algorithms and Architecture
- Aesthetic Perception and Analysis
- Brain Tumor Detection and Classification
- Computer Graphics and Visualization Techniques
- Lattice Boltzmann Simulation Studies
- Fetal and Pediatric Neurological Disorders
- Quantum Information and Cryptography
Nanjing University of the Arts
2024
Macau University of Science and Technology
2024
University College London
2023
We propose a tract-specific white matter hyperintensity (WMH) segmentation evaluation as new way to assess WMH techniques. Currently, is assessed globally or between periventricular and deep (WM) regions, which has no obvious functional relevance. WM tracts have known relevance associations neurological conditions. demonstrate that this approach allows for functionally-relevant assessment of Two techniques are compared highlight the performance differences across key tract associated with...
This work demonstrates the feasibility of using deep learning (DL) to accelerate revised-NODDI parameter estimation with data acquired tensor-valued diffusion encoding (TVDE). Revised-NODDI is a recently proposed version NODDI which showed improved compatibility TVDE. Thanks this model has an extra free be estimated which, conventional fitting methods, further slowdown NODDI’s time-demanding estimation. DL methods can vastly process. We show that accurate parameters obtained via...