Deep Image Prior (DIP) shows that some network architectures naturally b...
Automatic segmentation of brain MR images into white matter (WM), gray m...
Unsupervised domain adaptation (UDA) via deep learning has attracted
app...
Missing scans are inevitable in longitudinal studies due to either subje...
Tumor infiltration of the recurrent laryngeal nerve (RLN) is a
contraind...
Subjective cognitive decline (SCD) is a preclinical stage of Alzheimer's...
We learn a deformable registration model for T1-weighted MR images by
co...
The accurate segmentation of organs-at-risk (OARs) in head and neck CT i...
Retrospective artifact correction (RAC) improves image quality post
acqu...
We propose a multi-stage coarse-to-fine CNN-based framework, called
Skul...
Harmonization improves data consistency and is central to effective
inte...
Virtual orthognathic surgical planning involves simulating surgical
corr...
Magnetic resonance Fingerprinting (MRF) is a relatively new multi-parame...
Charting cortical growth trajectories is of paramount importance for
und...
Deformable image registration is fundamental to longitudinal and populat...
Diffusion MRI (dMRI) is a unique imaging technique for in vivo
character...
Bilateral filtering is one of the most classical denoising filters. Howe...
Thermal ablation is a minimally invasive procedure for treat-ing small o...
Parcellation of whole-brain tractography streamlines is an important ste...
In this paper, we introduce an image quality assessment (IQA) method for...
Diffusion tractography in brain connectomics often involves tracing axon...
Voxel-based analysis methods localize brain structural differences by
pe...
In this paper, we propose a deep learning approach for image registratio...
In diffusion MRI (dMRI), a good sampling scheme is important for efficie...
Compressed Sensing (CS) takes advantage of signal sparsity or compressib...