Data-Driven Insights Into Urban Intersections: Visual Analytics of High-Value Scene.

In this article, we propose TraVis, an interactive system that allows users to explore and analyze complex traffic trajectory data at urban intersections. Trajectory data contain a large amount of spatio-temporal information, and while previous studies have mainly focused on the macroscopic aspects of traffic flow, TraVis employs visualization methods to investigate and analyze microscopic traffic events (i.e.

Using Multi-Level Consistency Learning for Partial-to-Partial Point Cloud Registration.

Point cloud registration is a basic task in computer vision and computer graphics. Recently, deep learning-based end-to-end methods have made great progress in this field. One of the challenges of these methods is to deal with partial-to-partial registration tasks.

Mass-Driven Topology-Aware Curve Skeleton Extraction from Incomplete Point Clouds.

We introduce a mass-driven curve skeleton as a curve skeleton representation for 3D point cloud data. The mass-driven curve skeleton presents geometric properties and mass distribution of a curve skeleton simultaneously. The computation of the mass-driven curve skeleton is formulated as a minimization of Wasserstein distance, with an entropic regularization term, between mass distributions of point clouds and curve skeletons.

The voxel visibility model: an efficient framework for transfer function design.

Volume visualization is a very important work in medical imaging and surgery plan. However, determining an ideal transfer function is still a challenging task because of the lack of measurable metrics for quality of volume visualization. In the paper, we presented the voxel vibility model as a quality metric to design the desired visibility for voxels instead of designing transfer functions directly.

Atlas-based liver segmentation and hepatic fat-fraction assessment for clinical trials.

Automated assessment of hepatic fat-fraction is clinically important. A robust and precise segmentation would enable accurate, objective and consistent measurement of hepatic fat-fraction for disease quantification, therapy monitoring and drug development. However, segmenting the liver in clinical trials is a challenging task due to the variability of liver anatomy as well as the diverse sources the images were acquired from.

[Application of damage control surgery for severe abdominal trauma].

Objective: To evaluate the value of damage control surgery(DCS) for severe abdominal trauma.

Methods: Forty-six patients with severe abdominal trauma were treated according to DCS principles and 58 patients were not. Clinical data of the two groups were analyzed retrospectively.

Identification of molecular targets for immunotherapy of patients with head and neck squamous cell carcinoma.

To identify molecular targets for immunotherapy of head and neck squamous cell carcinoma (HNSCC) patients, we analyzed gene expression profile in matched tumor (HN) and normal fibroblast (FB) cell lines established from a HNSCC patient using microarray technique followed by real-time RT-PCR. Screening against a series of established normal and malignant cell lines followed by screening against a panel of normal human tissues led to the identification of 7 genes (AREG, CDH3, KLK10, NmU, SLPI, ANAX3 and MAL2), which were over-expressed at least 10-fold in tumors over any of the normal tissues. We determined the expression of mRNA encoding these genes against a panel of 15 HNSCC primary tumor samples.

HCV quasispecies evolution: association with progression to end-stage liver disease in hemophiliacs infected with HCV or HCV/HIV.

Patients with inherited bleeding disorders who received clotting factor concentrates before 1987 have high rates of hepatitis C virus (HCV) or HCV/HIV infection. We evaluated HCV quasispecies evolution in longitudinally collected specimens comparing those from patients with progression to end-stage liver disease (ESLD; cases) to those with compensated chronic hepatitis (controls). Plasma samples were obtained from the National Cancer Institute Multicenter Hemophilia Cohort Study.