Dinggang Shen

Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA Department of Brain and Cognitive Engineering, Korea University, Seoul 02841, Republic of Korea

Associated articles

JBHI, Featured Articles
Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment from Hand Radiograph
Skeletal bone age assessment is a common clinical practice to investigate endocrinology, genetic and growth disorders of children. However, clinical interpretation and bone age analyses are time-consuming, labor intensive and often subject to inter-observer variability. This advocates the need of... Read more
TBME, Featured Articles
Deformable Image Registration Using Cue-aware Deep Regression Network
Modern medical image analysis often has to deal with large-scale multi-center data, which requires the deformable registration satisfy the data diversity in clinical applications. We propose a novel deformable registration method, which is based on a cue-aware deep regression network,... Read more
TBME, Featured Articles
A New Image Similarity Metric for Improving Deformation Consistency in Graph Based Groupwise Image Registration
   In graph based groupwise image registration (G-GIR), a graph representing the input images is constructed using an image similarity metric (ISM). The ISM defines the graph edges that link image pairs. Similar images are connected via short edges. Based on... Read more
TBME, Featured Articles
Medical Image Synthesis with Deep Convolutional Adversarial Networks
Medical imaging plays a critical role in various clinical applications. However, due to multiple considerations such as cost and radiation dose, the acquisition of certain image modalities may be limited. Thus, medical image synthesis can be of great benefit by... Read more
TBME, Featured Articles
Structured Learning for 3D Perivascular Spaces Segmentation Using Vascular Features
Perivascular spaces (PVSs), which are also known as Virchow-Robin spaces, are cerebrospinal fluid (CSF) filled spaces ensheathing small blood vessels as they penetrate the brain parenchyma. The clinical significance of PVSs comes primarily from their tendency to dilate in abnormal... Read more
TBME, Featured Articles
Estimating Reference Shape Model for Personalized Surgical Reconstruction of Craniomaxillofacial Defects
Current craniomaxillofacial (CMF) surgical planning techniques that rely on cephalometric analysis work reasonably well in correcting mild jaw deformities, but are inadequate for complex CMF defects (e.g., trauma). To alleviate this problem, we propose a method for estimating patient-specific reference bony shape models for planning of reconstructive surgery for patients with acquired CMF defects. Experimental results show that our method is capable of effectively recovering the patient’s normal facial bony shape in regions with defects, allowing CMF surgical planning to be performed accurately for a wider range of defects caused by trauma... Read more
TBME, Featured Articles
Constructing Multi-view High-order Functional Connectivity Networks for Diagnosis of Autism Spectrum Disorder
To fully explore the discriminative information provided by different brain networks, a cluster-based multi-view high-order FCN (Ho-FCN) framework is proposed in this paper. Specifically, we first group the functional connectivity (FC) time series into different clusters and compute the multi-order central moment series for the FC time series in each cluster. Then we utilize the correlation of central moment series between different clusters to reveal the high-order FC relationships among multiple ROIs... Read more