Dong Liang
sites.google.com
0000-0003-1358-9777
28 papers found
Refreshing results…
Deep unfolding as iterative regularization for imaging inverse problems
An interactive nuclei segmentation framework with Voronoi diagrams and weighted convex difference for cervical cancer pathology images
Super-resolution dual-layer CBCT imaging with model-guided deep learning
Predicting Antiseizure Medication Treatment in Children with Rare Tuberous Sclerosis Complex–Related Epilepsy Using Deep Learning
Predicting Drug Treatment Outcomes in Children with Tuberous Sclerosis Complex–Related Epilepsy: A Clinical Radiomics Study
Recent advances in highly accelerated 3D MRI
Accelerated cardiac diffusion tensor imaging using deep neural network
Accelerated cardiac cine MRI using spatiotemporal correlation-based hybrid plug-and-play priors (SEABUS)
SuperMAP: Deep ultrafast MR relaxometry with joint spatiotemporal undersampling
Highly accelerated MR parametric mapping by undersampling the k-space and reducing the contrast number simultaneously with deep learning
Accurate total‐body Ki parametric imaging with shortened dynamic 18F‐FDG PET scan durations via effective data processing
An iterative image-based inter-frame motion compensation method for dynamic brain PET imaging
Biologic Pathways Underlying Prognostic Radiomics Phenotypes from Paired MRI and RNA Sequencing in Glioblastoma
Aliasing‐free reduced field‐of‐view parallel imaging
SuperDTI: Ultrafast DTI and fiber tractography with deep learning
MRI-aided kernel PET image reconstruction method based on texture features
Synthesizing PET/MR (T1-weighted) images from non-attenuation-corrected PET images
Highly accelerated parallel MRI using wave encoding and virtual conjugate coils
Temporal feature prior-aided separated reconstruction method for low-dose dynamic myocardial perfusion computed tomography
A 4‐minute solution for submillimeter whole‐brain T1ρ quantification
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