Bayesian Kernel Methods for Analysis of Functional (2008)
Ana S. Lukic, Miles N. Wernick, Senior Member, Dimitris G. Tzikas, Xu Chen, Aristidis Likas, ...
Member, IEEE Abstract—We propose an approach to analyzing functional neuroimages in which: 1) regions of neuronal activation are described by a superposition of spatial kernel functions, the...
Multiple-image radiography (2008)
Miles N. Wernick, Oliver Wirjadi, Dean Chapman, Zhong Zhong, Nikolas P. Galatsanos, Yongyi Yang, ...
Conventional radiography produces a single image of an object by measuring the attenuation of an x-ray beam passing through it. When imaging weakly absorbing tissues, x-ray attenuation may be a...
A TUTORIAL ON RELEVANCE VECTOR MACHINES FOR REGRESSION AND CLASSIFICATION WITH APPLICATIONS (2008)
Dimitris G. Tzikas, Liyang Wei, Aristidis Likas, Yongyi Yang, P. Galatsanos
Relevance vector machines (RVM) have recently attracted much interest in the research community because they provide a number of advantages. They are based on a Bayesian formulation of a linear model...
Ana S. Lukic, Miles N. Wernick, Senior Member, Yongyi Yang, Senior Member, Lars Kai Hansen, ...
Abstract—It has been previously observed that spatial independent component analysis (ICA), if applied to data pooled in a particular way, may lessen the need for spatial alignment of scans in a...
MULTI-MODALITY TOMOGRAPHIC IMAGE RECONSTRUCTION USING MESH MODELING 1 (2008)
Jovan G. Brankov, Yongyi Yang, Richard M. Leahy, Miles N. Wernick
In this paper we investigate a mesh-modeling approach for multi-modality image reconstruction. In the proposed approach a mesh model uses information obtained from an anatomical MR image to aid in...
CONTENT-BASED IMAGE RETRIEVAL FOR DIGITAL MAMMOGRAPHY 1 Ã (2008)
Issam El Naqa, Yongyi Yang, Nikolas P. Galatsanos, Miles N. Wernick
In this work, we explore the use of a learning-based framework for retrieval of relevant mammogram images from a database, for purposes of aiding diagnoses. A fundamental issue is how to characterize...
Jovan G. Brankov, Yongyi Yang, Miles N. Wernick
In this work we propose the use of a content-adaptive mesh model (CAMM) for tomographic image reconstruction. In the proposed framework, the image to be reconstructed is first modeled by an efficient...
Henry Stark Yongyi, Henry Stark, Yongyi Yang, Damla Gurkan
this paper the authors attempt to demonstrate, with examples, the problems associated with convergence in iterative optical design by projections in a vector-space setting. In particular, we address...
4D processing of gated SPECT images using deformable mesh modeling,” presented at the (2007)
Jovan G. Brankov, Yongyi Yang, Miles N. Wernick
In this work we present a new 4D approach for reducing noise in gated SPECT perfusion images while preserving accurate cardiac motion. The method is based on motioncompensated temporal smoothing...
Allpass Filter Design Using Projection-Based Method Under Group (2007)
Delay Constraints Khalil, Khalil C. Haddad, Yongyi Yang, Nikolas P. Galatsanos, Henry Stark
A new technique for designing digital allpass IIR filters is proposed. The approach is based on the vector space projection method. Constraint sets, and their associated projectors, that capture the...
INSTITUTE OF PHYSICS PUBLISHING PHYSICS IN MEDICINE AND BIOLOGY (2006)
Miles N Wernick, Yongyi Yang, Indrasis Mondal, Dean Chapman, Moumen Hasnah, Christopher Parham, ...
Computation of mass-density images from x-ray refraction-angle images
Digital Watermarking Robust to Geometric Distortions (2005)
Dong, Ping, Brankov, Jovan, Galatsanos, Nikolas, Yang, Yongyi, Davoine, Franck
In this paper we present two watermarking approaches that are robust to geometric distortions. The first approach is based on image normalization, in which both watermark embedding and extraction are...
Digital Watermarking Robust to Geometric Distortions (2005)
Dong, Ping, Brankov, Jovan, Galatsanos, Nikolas, Yang, Yongyi, Davoine, Franck
In this paper we present two watermarking approaches that are robust to geometric distortions. The first approach is based on image normalization, in which both watermark embedding and extraction are...
Digital Watermarking Robust to Geometric Distortions (2005)
Dong, Ping, Brankov, Jovan, Galatsanos, Nikolas, Yang, Yongyi, Davoine, Franck
In this paper we present two watermarking approaches that are robust to geometric distortions. The first approach is based on image normalization, in which both watermark embedding and extraction are...
Digital Watermarking Robust to Geometric Distortions (2005)
Dong, Ping, Brankov, Jovan, Galatsanos, Nikolas, Yang, Yongyi, Davoine, Franck
In this paper we present two watermarking approaches that are robust to geometric distortions. The first approach is based on image normalization, in which both watermark embedding and extraction are...
Digital watermarking robust to geometric distortions (2005)
Ping Dong, Jovan G. Brankov, Nikolas P. Galatsanos, Yongyi Yang, Senior Member, Senior Member, ...
Abstract—In this paper, we present two watermarking approaches that are robust to geometric distortions. The first approach is based on image normalization, in which both watermark embedding and...
Digital Watermarking Robust to Geometric Distortions (2005)
Dong, Ping, Brankov, Jovan, Galatsanos, Nikolas, Yang, Yongyi, Davoine, Franck
In this paper we present two watermarking approaches that are robust to geometric distortions. The first approach is based on image normalization, in which both watermark embedding and extraction are...
Digital Watermarking Robust to Geometric Distortions (2005)
Dong, Ping, Brankov, Jovan, Galatsanos, Nikolas, Yang, Yongyi, Davoine, Franck
In this paper we present two watermarking approaches that are robust to geometric distortions. The first approach is based on image normalization, in which both watermark embedding and extraction are...
Preliminary investigation of a multiple-image radiography method (2002)
Miles N. Wernick, Oliver Wirjadi, Dean Chapman, Oral Oltulu, Zhong Zhong, Yongyi Yang
Conventional radiography seeks to produce, at each location in the image plane, a measure of the x-ray absorption of the object. In this paper, we present a method of determining a much more complete...
N.: Support vector machine learning for detection of microcalcifications in mammograms (2002)
Issam El-naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos, Robert Nishikawa
Microcalcification (MC) clusters in mammograms can be an indicator of breast cancer. In this work we propose for the first time the use of support vector machine (SVM) learning for automated...
Jovan G. Brankov, Yongyi Yang, Miles N. Wernick
In this paper we propose the use of a content-adaptive mesh model (CAMM) for tomographic image reconstruction. In the proposed framework, the image to be reconstructed is first modeled by an...
Removal of Compression Artifacts Using Projections onto Convex Sets and Line Process Modeling (1997)
Yongyi Yang, Nikolas P. Galatsanos
In this paper we present a new image recovery algorithm to remove, in addition to blocking, ringing artifacts from compressed images and video. This new algorithm is based on the theory of...
Projection-Based Spatially-Adaptive Reconstruction of Block-Transform Compressed Images (1995)
Yongyi Yang, Nikolas Galatsanos, Aggelos K. Katsaggelos
At the present time block-transform coding is probably the most popular approach for image compression. For this approach the compressed images are decoded using only the transmitted transform data....
Projection-based signal processing for visual communication problems /--by Yongyi Yang. (1994)
Thesis (Ph. D.)--Illinois Institute of Technology, 1994.