43 Result(s)
within
English
Computer Science
Computer Graphics
Image Processing and Computer Vision
Pattern Recognition
M. **gliang
Conference Paper
-
Chapter and Conference Paper
A Visual Art Education Tool to Create Logo (APH-Pensil) Based on the Fundamental Design Theory Approach
This paper outlines the research conducted to develop and evaluate a Visual Art Education tool (APH-Pensil), based on the fundamental design theory. This tool consists of six modules. The Art element module he...
-
Chapter and Conference Paper
Atlas-Based Segmentation of the Subthalamic Nucleus, Red Nucleus, and Substantia Nigra for Deep Brain Stimulation by Incorporating Multiple MRI Contrasts
Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is an effective therapy for drug-resistant Parkinson’s disease (PD). Pre-operative identification of the STN is an important step for this neurosur...
-
Chapter and Conference Paper
Discrete Minimum Distortion Correspondence Problems for Non-rigid Shape Matching
Similarity and correspondence are two fundamental archetype problems in shape analysis, encountered in numerous application in computer vision and pattern recognition. Many methods for shape similarity and cor...
-
Chapter and Conference Paper
Hierarchical Structural Map** for Globally Optimized Estimation of Functional Networks
In this study, we propose a framework to map functional MRI (fMRI) activation signals using DTI-tractography. This framework, which we term functional by structural hierarchical (FSH) map**, models the regio...
-
Chapter and Conference Paper
Simulation of the Abdominal Wall and Its Arteries after Pneumoperitoneum for Guidance of Port Positioning in Laparoscopic Surgery
During laparoscopic surgery, the trocar insertion can injure arteries of the abdominal wall. Although these arteries are visible in a preoperative computed tomography [CT] with contrast medium, it is difficult...
-
Chapter and Conference Paper
Direct 3D Ultrasound to Video Registration Using Photoacoustic Effect
Interventional guidance systems require surgical navigation systems to register different tools and devices together. Standard navigation systems have various drawbacks leading to target registration errors (T...
-
Chapter and Conference Paper
Towards Person Identification and Re-identification with Attributes
Visual identification of an individual in a crowded environment observed by a distributed camera network is critical to a variety of tasks including commercial space management, border control, and crime preve...
-
Chapter and Conference Paper
Implementation and Analysis of JPEG2000 System on a Chip
This paper presents a novel implementation of the JPEG2000 standard as a system on a chip (SoC). While most of the research in this field centers on acceleration of the EBCOT Tier I encoder, this work focuses ...
-
Chapter and Conference Paper
Age-Related Changes in Vertebral Morphometry by Statistical Shape Analysis
The morphological changes of the vertebrae associated with normal aging are still subject of debate, whereas this knowledge is important in detecting vertebral fractures and degenerative shape changes. The aim...
-
Chapter and Conference Paper
3D Non-rigid Motion Correction of Free-Breathing Abdominal DCE-MRI Data
Inflammatory bowel diseases (IBD) constitute one of the largest healthcare problems in the Western World. Grading of the disease severity is important to determine treatment strategy and to quantify the respon...
-
Chapter and Conference Paper
Whole Brain Functional Connectivity Using Multi-scale Spatio-Spectral Random Effects Model
Functional brain networks produce connected low frequency patterns of activity when the brain is at rest which can be analyzed with resting state functional MRI (rs-fMRI) by fitting general linear models for s...
-
Chapter and Conference Paper
“SynMax”: A Mathematics Application Tool for Down Syndrome Children
Research has shown that the number skills delayed relative to reading skills for Down Syndrome (DS) children. The DS children use the same learning strategy as the normal children, but their learning stages de...
-
Chapter and Conference Paper
On the Evaluation of Graph Centrality for Shape Matching
Graph centrality has been extensively applied in Social Network Analysis to model the interaction of actors and the information flow inside a graph. In this paper, we investigate the usage of graph centralitie...
-
Chapter and Conference Paper
Interestingness Prediction by Robust Learning to Rank
The problem of predicting image or video interestingness from their low-level feature representations has received increasing interest. As a highly subjective visual attribute, annotating the interestingness v...
-
Chapter and Conference Paper
Transductive Multi-view Embedding for Zero-Shot Recognition and Annotation
Most existing zero-shot learning approaches exploit transfer learning via an intermediate-level semantic representation such as visual attributes or semantic word vectors. Such a semantic representation is sha...
-
Chapter and Conference Paper
A 3D Tracker for Ground-Moving Objects
Multi-object tracking is a major area of research because of its wide application scope. In this paper we describe a set of improvements, toward video surveillance context, to the multi-object tracker proposed...
-
Chapter and Conference Paper
Estimating Anatomically-Correct Reference Model for Craniomaxillofacial Deformity via Sparse Representation
The success of craniomaxillofacial (CMF) surgery depends not only on the surgical techniques, but also upon an accurate surgical planning. However, surgical planning for CMF surgery is challenging due to the a...
-
Chapter and Conference Paper
Active Echo: A New Paradigm for Ultrasound Calibration
In ultrasound-guided medical procedures, accurate tracking of interventional tools with respect to the US probe is crucial to patient safety and clinical outcome. US probe tracking requires an unavoidable cali...
-
Chapter and Conference Paper
Network-Guided Group Feature Selection for Classification of Autism Spectrum Disorder
We present an anatomically guided feature selection scheme for prediction of neurological disorders based on brain connectivity networks. Using anatomical information not only gives rise to an interpretable mo...
-
Chapter and Conference Paper
Fiber Tracking in Traumatic Brain Injury: Comparison of 9 Tractography Algorithms
Traumatic brain injury (TBI) can cause widespread and long-lasting damage to white matter. Diffusion weighted imaging methods are uniquely sensitive to this disruption. Even so, traumatic injury often disrupts...
