19 Result(s)
within
English
Computer Science
Image Processing and Computer Vision
Pattern Recognition
M. **gliang
Conference Paper
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Chapter and Conference Paper
The Sixth Visual Object Tracking VOT2018 Challenge Results
The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many are state-of-the-art trackers...
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Chapter and Conference Paper
Photoacoustic Imaging Paradigm Shift: Towards Using Vendor-Independent Ultrasound Scanners
Photoacoustic (PA) imaging requires channel data acquisition synchronized with a laser firing system. Unfortunately, the access to these channel data is only available on specialized research systems, and most...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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Chapter and Conference Paper
Morphology-Guided Graph Search for Untangling Objects: C. elegans Analysis
We present a novel approach for extracting cluttered objects based on their morphological properties. Specifically, we address the problem of untangling Caenorhabditis elegans clusters in high-throughput screenin...
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Chapter and Conference Paper
Joint Factor and Kinetic Analysis of Dynamic FDOPA PET Scans of Brain Cancer Patients
Kinetic analysis is an essential tool of Positron Emission Tomography image analysis. However it requires a pure tissue time activity curve (TAC) in order to calculate the system parameters. Pure tissue TACs a...
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Chapter and Conference Paper
Summarizing and Visualizing Uncertainty in Non-rigid Registration
Registration uncertainty may be important information to convey to a surgeon when surgical decisions are taken based on registered image data. However, conventional non-rigid registration methods only provide ...
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Chapter and Conference Paper
On Super-Resolution for Fetal Brain MRI
Super-resolution techniques provide a route to studying fine scale anatomical detail using multiple lower resolution acquisitions. In particular, techniques that do not depend on regular sampling can be used i...
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Chapter and Conference Paper
Multivariate Statistics of the Jacobian Matrices in Tensor Based Morphometry and Their Application to HIV/AIDS
Tensor-based morphometry (TBM) is widely used in computational anatomy as a means to understand shape variation between structural brain images. A 3D nonlinear registration technique is typically used to align...
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Chapter and Conference Paper
Automated Surface Matching Using Mutual Information Applied to Riemann Surface Structures
Many medical imaging applications require the computation of dense correspondence vector fields that match one surface with another. To avoid the need for a large set of manually-defined landmarks to constrain...
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Chapter and Conference Paper
Hand Geometry Based Recognition with a MLP Classifier
This paper presents a biometric recognition system based on hand geometry. We describe a database specially collected for research purposes, which consists of 50 people and 10 different acquisitions of the rig...
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Chapter and Conference Paper
A Study on the Document Zone Content Classification Problem
A document can be divided into zones on the basis of its content. For example, a zone can be either text or non-text. Given the segmented document zones, correctly determining the zone content type is very imp...
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Chapter and Conference Paper
ERS Transform for the Detection of Bronchi on CT of the Lungs
The identification of bronchi on Computed Tomography (CT) images of the lungs provides valuable clinical information for the assessment of patients with suspected bronchiectasis, emphysema, or constrictive obl...
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Chapter and Conference Paper
The morphic generator grammatical inference methodology and multilayer perceptrons: A hybrid approach to acoustic modeling
A new hybrid approach to acoustic modeling based on the use of a grammatical inference technique to infer the structure of the models of the sublexical units and an artificial neural network as a means to esti...
