Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for +publisher:"University of Illinois – Urbana-Champaign" +contributor:("Liang, Zhi-Pei"). Showing records 1 – 30 of 48 total matches.

[1] [2]

Search Limiters

Last 2 Years | English Only

Department

▼ Search Limiters


University of Illinois – Urbana-Champaign

1. Fu, Maojing. Dynamic speech imaging with low-rank approximation.

Degree: MS, 1200, 2012, University of Illinois – Urbana-Champaign

 Dynamic speech imaging is a powerful technique for real-time visualization of speech dynamics. As a promising modality for dynamic speech imaging, magnetic resonance imaging (MRI)… (more)

Subjects/Keywords: spatiotemporal modeling; partially separable functions; speech imaging; dynamic MRI; Magnetic resonance imaging (MRI)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Fu, M. (2012). Dynamic speech imaging with low-rank approximation. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/32073

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Fu, Maojing. “Dynamic speech imaging with low-rank approximation.” 2012. Thesis, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/32073.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Fu, Maojing. “Dynamic speech imaging with low-rank approximation.” 2012. Web. 22 Oct 2019.

Vancouver:

Fu M. Dynamic speech imaging with low-rank approximation. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/32073.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Fu M. Dynamic speech imaging with low-rank approximation. [Thesis]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/32073

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

2. Li, Yudu. A subspace approach to spectral quantification for MR spectroscopic imaging.

Degree: MS, Electrical & Computer Engr, 2017, University of Illinois – Urbana-Champaign

 The problem of spectral quantification for magnetic resonance spectroscopic imaging (MRSI) is addressed in this thesis. We present a novel approach to solving this problem,… (more)

Subjects/Keywords: Magnetic resonance spectroscopic imaging (MRSI); Spectral estimation; Subspace; Spatiospectral constraints

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Li, Y. (2017). A subspace approach to spectral quantification for MR spectroscopic imaging. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/99360

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Yudu. “A subspace approach to spectral quantification for MR spectroscopic imaging.” 2017. Thesis, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/99360.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Yudu. “A subspace approach to spectral quantification for MR spectroscopic imaging.” 2017. Web. 22 Oct 2019.

Vancouver:

Li Y. A subspace approach to spectral quantification for MR spectroscopic imaging. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/99360.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li Y. A subspace approach to spectral quantification for MR spectroscopic imaging. [Thesis]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/99360

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

3. Perkins, Kevin. A machine learning based method for sensitivity estimation for accelerated magnetic resonance spectroscopy imaging using phased array coils.

Degree: MS, Electrical & Computer Engr, 2018, University of Illinois – Urbana-Champaign

 Magnetic resonance spectroscopic imaging (MRSI) enables in-vivo analysis of the spatial distribution of chemicals within the human body. Through MRSI, one can infer the concentration… (more)

Subjects/Keywords: Magnetic Resonance Spectroscopic Imaging; MRSI; Parallel Imaging; SENSE; Deep Learning; DnCNN

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Perkins, K. (2018). A machine learning based method for sensitivity estimation for accelerated magnetic resonance spectroscopy imaging using phased array coils. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/100976

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Perkins, Kevin. “A machine learning based method for sensitivity estimation for accelerated magnetic resonance spectroscopy imaging using phased array coils.” 2018. Thesis, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/100976.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Perkins, Kevin. “A machine learning based method for sensitivity estimation for accelerated magnetic resonance spectroscopy imaging using phased array coils.” 2018. Web. 22 Oct 2019.

Vancouver:

Perkins K. A machine learning based method for sensitivity estimation for accelerated magnetic resonance spectroscopy imaging using phased array coils. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2018. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/100976.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Perkins K. A machine learning based method for sensitivity estimation for accelerated magnetic resonance spectroscopy imaging using phased array coils. [Thesis]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/100976

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

4. Pocci, Darren J. Analysis of Cartesian and projection (K,T)-space sampling patterns when using the partially separable functions model for cardiac perfusion MR imaging.

Degree: MS, 1200, 2010, University of Illinois – Urbana-Champaign

 Cardiac perfusion MRI aims to analyze perfusion characteristics of the heart through the injection of a contrast agent. In clinical practice, cardiac perfusion imaging is… (more)

Subjects/Keywords: Cardiac Perfusion MR Imaging; Partially Separable Functions; Multidimensional Sampling

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pocci, D. J. (2010). Analysis of Cartesian and projection (K,T)-space sampling patterns when using the partially separable functions model for cardiac perfusion MR imaging. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/16190

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pocci, Darren J. “Analysis of Cartesian and projection (K,T)-space sampling patterns when using the partially separable functions model for cardiac perfusion MR imaging.” 2010. Thesis, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/16190.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pocci, Darren J. “Analysis of Cartesian and projection (K,T)-space sampling patterns when using the partially separable functions model for cardiac perfusion MR imaging.” 2010. Web. 22 Oct 2019.

Vancouver:

Pocci DJ. Analysis of Cartesian and projection (K,T)-space sampling patterns when using the partially separable functions model for cardiac perfusion MR imaging. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/16190.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pocci DJ. Analysis of Cartesian and projection (K,T)-space sampling patterns when using the partially separable functions model for cardiac perfusion MR imaging. [Thesis]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/16190

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

5. Clifford, Bryan Alexander. Subspace estimation for subspace-based magnetic resonance spectroscopic imaging.

Degree: MS, Electrical & Computer Engr, 2016, University of Illinois – Urbana-Champaign

 Magnetic resonance spectroscopic imaging (MRSI) is a powerful technique that offers us the ability to non-invasively image chemical distributions within the human body. However, due… (more)

Subjects/Keywords: subspace model; subspace estimation; field inhomogeneity; magnetic resonance; MRI; MRSI; spectroscopy; spectroscopic imaging

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Clifford, B. A. (2016). Subspace estimation for subspace-based magnetic resonance spectroscopic imaging. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/90903

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Clifford, Bryan Alexander. “Subspace estimation for subspace-based magnetic resonance spectroscopic imaging.” 2016. Thesis, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/90903.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Clifford, Bryan Alexander. “Subspace estimation for subspace-based magnetic resonance spectroscopic imaging.” 2016. Web. 22 Oct 2019.

Vancouver:

Clifford BA. Subspace estimation for subspace-based magnetic resonance spectroscopic imaging. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2016. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/90903.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Clifford BA. Subspace estimation for subspace-based magnetic resonance spectroscopic imaging. [Thesis]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/90903

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

6. Lam, Fan. Motion compensation from limited data for reference-constrained image reconstruction.

Degree: MS, 1200, 2011, University of Illinois – Urbana-Champaign

 When reconstructing images from limited (or sparsely sampled) data, reference (or template) images are useful for constraining image reconstruction for various applications. However, in order… (more)

Subjects/Keywords: Reference-constrained image reconstruction; Motion compensation; Generalized series model; Sparse image; Compressed Sensing; Variable projection; Affine transformation; Free-form deformation; Cramer-Rao bound

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lam, F. (2011). Motion compensation from limited data for reference-constrained image reconstruction. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/24111

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lam, Fan. “Motion compensation from limited data for reference-constrained image reconstruction.” 2011. Thesis, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/24111.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lam, Fan. “Motion compensation from limited data for reference-constrained image reconstruction.” 2011. Web. 22 Oct 2019.

Vancouver:

Lam F. Motion compensation from limited data for reference-constrained image reconstruction. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/24111.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lam F. Motion compensation from limited data for reference-constrained image reconstruction. [Thesis]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/24111

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

7. Silkaitis, Michael. A subspace method for reconstruction of time-series fMRI images from sparse data.

Degree: MS, Electrical & Computer Engr, 2019, University of Illinois – Urbana-Champaign

 Functional magnetic resonance imaging (fMRI) is a powerful imaging modality commonly used to study brain functions. It utilizes the difference in the oxygen content of… (more)

Subjects/Keywords: MRI; fMRI; SPICE

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Silkaitis, M. (2019). A subspace method for reconstruction of time-series fMRI images from sparse data. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/104896

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Silkaitis, Michael. “A subspace method for reconstruction of time-series fMRI images from sparse data.” 2019. Thesis, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/104896.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Silkaitis, Michael. “A subspace method for reconstruction of time-series fMRI images from sparse data.” 2019. Web. 22 Oct 2019.

Vancouver:

Silkaitis M. A subspace method for reconstruction of time-series fMRI images from sparse data. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2019. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/104896.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Silkaitis M. A subspace method for reconstruction of time-series fMRI images from sparse data. [Thesis]. University of Illinois – Urbana-Champaign; 2019. Available from: http://hdl.handle.net/2142/104896

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

8. Ning, Qiang. Spectral estimation with spatio-spectral constraints for magnetic resonance spectroscopic imaging.

Degree: MS, Electrical & Computer Engineering, 2015, University of Illinois – Urbana-Champaign

 Magnetic resonance spectroscopic imaging (MRSI) is a promising tool to acquire in vivo biochemical information, and spectral estimation (quantification) of MRSI data is an important… (more)

Subjects/Keywords: Magnetic resonance spectroscopic imaging (MRSI); spectral estimation; spatial regularization; sparsity constraint; Cramer-Rao Bound

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ning, Q. (2015). Spectral estimation with spatio-spectral constraints for magnetic resonance spectroscopic imaging. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/89025

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ning, Qiang. “Spectral estimation with spatio-spectral constraints for magnetic resonance spectroscopic imaging.” 2015. Thesis, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/89025.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ning, Qiang. “Spectral estimation with spatio-spectral constraints for magnetic resonance spectroscopic imaging.” 2015. Web. 22 Oct 2019.

Vancouver:

Ning Q. Spectral estimation with spatio-spectral constraints for magnetic resonance spectroscopic imaging. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/89025.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ning Q. Spectral estimation with spatio-spectral constraints for magnetic resonance spectroscopic imaging. [Thesis]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/89025

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

9. Hernando, Diego. Joint estimation of water and fat images from magnetic resonance signals.

Degree: PhD, 1200, 2010, University of Illinois – Urbana-Champaign

 Fat-water separation is a classical problem for in vivo magnetic resonance imaging, with multiple applications both in cases where the aim is the removal of… (more)

Subjects/Keywords: Magnetic Resonance Imaging (MRI); Joint estimation; Fat-water; Graph cuts; Regularization; Fat quantification

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hernando, D. (2010). Joint estimation of water and fat images from magnetic resonance signals. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/16833

Chicago Manual of Style (16th Edition):

Hernando, Diego. “Joint estimation of water and fat images from magnetic resonance signals.” 2010. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/16833.

MLA Handbook (7th Edition):

Hernando, Diego. “Joint estimation of water and fat images from magnetic resonance signals.” 2010. Web. 22 Oct 2019.

Vancouver:

Hernando D. Joint estimation of water and fat images from magnetic resonance signals. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/16833.

Council of Science Editors:

Hernando D. Joint estimation of water and fat images from magnetic resonance signals. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/16833

10. Liu, Ding. Rank constrained denoising in magnetic resonance imaging.

Degree: MS, 1200, 2015, University of Illinois – Urbana-Champaign

 Noise is an important issue in magnetic resonance imaging (MRI), since the signal-to-noise ratio (SNR) is a major limiting factor for imaging speed and the… (more)

Subjects/Keywords: Image Denoising; Magnetic Resonance Imaging (MRI)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Liu, D. (2015). Rank constrained denoising in magnetic resonance imaging. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/72922

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Liu, Ding. “Rank constrained denoising in magnetic resonance imaging.” 2015. Thesis, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/72922.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Liu, Ding. “Rank constrained denoising in magnetic resonance imaging.” 2015. Web. 22 Oct 2019.

Vancouver:

Liu D. Rank constrained denoising in magnetic resonance imaging. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/72922.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu D. Rank constrained denoising in magnetic resonance imaging. [Thesis]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/72922

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

11. Christodoulou, Anthony Glenn. A subspace approach to accelerated cardiovascular magnetic resonance imaging.

Degree: PhD, Electrical & Computer Engr, 2015, University of Illinois – Urbana-Champaign

 Magnetic resonance imaging (MRI) is a uniquely flexible tool for imaging the heart, as it has the potential to perform a significant number of structural… (more)

Subjects/Keywords: Magnetic resonance imaging; cardiovascular imaging; cardiac imaging

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Christodoulou, A. G. (2015). A subspace approach to accelerated cardiovascular magnetic resonance imaging. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/78384

Chicago Manual of Style (16th Edition):

Christodoulou, Anthony Glenn. “A subspace approach to accelerated cardiovascular magnetic resonance imaging.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/78384.

MLA Handbook (7th Edition):

Christodoulou, Anthony Glenn. “A subspace approach to accelerated cardiovascular magnetic resonance imaging.” 2015. Web. 22 Oct 2019.

Vancouver:

Christodoulou AG. A subspace approach to accelerated cardiovascular magnetic resonance imaging. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/78384.

Council of Science Editors:

Christodoulou AG. A subspace approach to accelerated cardiovascular magnetic resonance imaging. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/78384


University of Illinois – Urbana-Champaign

12. Lam, Fan. A subspace approach to high-resolution magnetic resonance spectroscopic imaging.

Degree: PhD, Electrical & Computer Engr, 2015, University of Illinois – Urbana-Champaign

 With its unique capability to obtain spatially resolved biochemical profiles from the human body noninvasively, magnetic resonance spectroscopic imaging (MRSI) has been recognized as a… (more)

Subjects/Keywords: Magnetic resonance spectroscopic imaging; Partial separability; Subspace modeling; Low-rank model; Sparse sampling

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lam, F. (2015). A subspace approach to high-resolution magnetic resonance spectroscopic imaging. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/78611

Chicago Manual of Style (16th Edition):

Lam, Fan. “A subspace approach to high-resolution magnetic resonance spectroscopic imaging.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/78611.

MLA Handbook (7th Edition):

Lam, Fan. “A subspace approach to high-resolution magnetic resonance spectroscopic imaging.” 2015. Web. 22 Oct 2019.

Vancouver:

Lam F. A subspace approach to high-resolution magnetic resonance spectroscopic imaging. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/78611.

Council of Science Editors:

Lam F. A subspace approach to high-resolution magnetic resonance spectroscopic imaging. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/78611


University of Illinois – Urbana-Champaign

13. Fu, Maojing. High-resolution full-vocal-tract dynamic speech magnetic resonance imaging.

Degree: PhD, Electrical & Computer Engr, 2017, University of Illinois – Urbana-Champaign

 Dynamic magnetic resonance imaging (MRI) holds great promise for speech-related studies because of its potential to investigate velopharyngeal motion and physiological properties jointly in real… (more)

Subjects/Keywords: Speech imaging; Magnetic resonance imaging (MRI)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Fu, M. (2017). High-resolution full-vocal-tract dynamic speech magnetic resonance imaging. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/97242

Chicago Manual of Style (16th Edition):

Fu, Maojing. “High-resolution full-vocal-tract dynamic speech magnetic resonance imaging.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/97242.

MLA Handbook (7th Edition):

Fu, Maojing. “High-resolution full-vocal-tract dynamic speech magnetic resonance imaging.” 2017. Web. 22 Oct 2019.

Vancouver:

Fu M. High-resolution full-vocal-tract dynamic speech magnetic resonance imaging. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/97242.

Council of Science Editors:

Fu M. High-resolution full-vocal-tract dynamic speech magnetic resonance imaging. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/97242


University of Illinois – Urbana-Champaign

14. Wen, Bihan. Adaptive nonlocal and structured sparse signal modeling and applications.

Degree: PhD, Electrical & Computer Engr, 2018, University of Illinois – Urbana-Champaign

 Features based on sparse representation, especially using the synthesis dictionary model, have been heavily exploited in signal processing and computer vision. Many applications such as… (more)

Subjects/Keywords: machine learning; image restoration; transform learning; computational imaging; denoising; inpainting; magnetic resonance imaging; video denoising; online learning; overcomplete model; rotation invariant; medical imaging; sparse coding; sparse representation; low-rank model; joint optimization

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wen, B. (2018). Adaptive nonlocal and structured sparse signal modeling and applications. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/102464

Chicago Manual of Style (16th Edition):

Wen, Bihan. “Adaptive nonlocal and structured sparse signal modeling and applications.” 2018. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/102464.

MLA Handbook (7th Edition):

Wen, Bihan. “Adaptive nonlocal and structured sparse signal modeling and applications.” 2018. Web. 22 Oct 2019.

Vancouver:

Wen B. Adaptive nonlocal and structured sparse signal modeling and applications. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2018. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/102464.

Council of Science Editors:

Wen B. Adaptive nonlocal and structured sparse signal modeling and applications. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/102464


University of Illinois – Urbana-Champaign

15. Tan, Jiawei. The development of MRI-compatible SPECT system.

Degree: PhD, 0139, 2012, University of Illinois – Urbana-Champaign

 In recent years, combined MRI and nuclear imaging techniques such as PET and SPECT have received great attentions. MRI provides high-resolution anatomical and functional information… (more)

Subjects/Keywords: MRI-compatible SPECT system; small-pixel CdTe detectors; charges collection; clinical 3 T MR Scanner; Magnetic resonance imaging (MRI)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tan, J. (2012). The development of MRI-compatible SPECT system. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/32011

Chicago Manual of Style (16th Edition):

Tan, Jiawei. “The development of MRI-compatible SPECT system.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/32011.

MLA Handbook (7th Edition):

Tan, Jiawei. “The development of MRI-compatible SPECT system.” 2012. Web. 22 Oct 2019.

Vancouver:

Tan J. The development of MRI-compatible SPECT system. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/32011.

Council of Science Editors:

Tan J. The development of MRI-compatible SPECT system. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/32011


University of Illinois – Urbana-Champaign

16. Paine, Thomas Le. Practical considerations for deep learning.

Degree: PhD, Informatics, 2017, University of Illinois – Urbana-Champaign

 The work in this dissertation was done as a major shift in machine perception and deep learning research was happening. Neural networks have proved to… (more)

Subjects/Keywords: Deep learning; Computer vision

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Paine, T. L. (2017). Practical considerations for deep learning. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/97374

Chicago Manual of Style (16th Edition):

Paine, Thomas Le. “Practical considerations for deep learning.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/97374.

MLA Handbook (7th Edition):

Paine, Thomas Le. “Practical considerations for deep learning.” 2017. Web. 22 Oct 2019.

Vancouver:

Paine TL. Practical considerations for deep learning. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/97374.

Council of Science Editors:

Paine TL. Practical considerations for deep learning. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/97374


University of Illinois – Urbana-Champaign

17. Xu, Xun. Appearance based modeling and learning of the human face with application to biometrics.

Degree: PhD, 1200, 2010, University of Illinois – Urbana-Champaign

 In this dissertation we study key problems in face processing, with a focus on the applications in biometrics, including both hard biometrics (i.e. conventional face… (more)

Subjects/Keywords: computer vision; pattern recognition; machine learning; face recognition; face alignment; biometrics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Xu, X. (2010). Appearance based modeling and learning of the human face with application to biometrics. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/16531

Chicago Manual of Style (16th Edition):

Xu, Xun. “Appearance based modeling and learning of the human face with application to biometrics.” 2010. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/16531.

MLA Handbook (7th Edition):

Xu, Xun. “Appearance based modeling and learning of the human face with application to biometrics.” 2010. Web. 22 Oct 2019.

Vancouver:

Xu X. Appearance based modeling and learning of the human face with application to biometrics. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/16531.

Council of Science Editors:

Xu X. Appearance based modeling and learning of the human face with application to biometrics. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/16531


University of Illinois – Urbana-Champaign

18. Van, Anh T. High resolution 3D diffusion tensor imaging for delineating neuronal architectures.

Degree: PhD, 1200, 2011, University of Illinois – Urbana-Champaign

 Diffusion tensor imaging (DTI) has long been an important tool for early diagnosis and monitoring of neuronal diseases as well as for understanding the connectivity… (more)

Subjects/Keywords: 3D Diffusion Tensor Imaging; Motion-Induced Phase Errors; Reduced-Field-of-View Imaging; Submillimeter Resolution; Parallel Imaging; Magnectic Susceptibility; Pons; Hippocampus

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Van, A. T. (2011). High resolution 3D diffusion tensor imaging for delineating neuronal architectures. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/18355

Chicago Manual of Style (16th Edition):

Van, Anh T. “High resolution 3D diffusion tensor imaging for delineating neuronal architectures.” 2011. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/18355.

MLA Handbook (7th Edition):

Van, Anh T. “High resolution 3D diffusion tensor imaging for delineating neuronal architectures.” 2011. Web. 22 Oct 2019.

Vancouver:

Van AT. High resolution 3D diffusion tensor imaging for delineating neuronal architectures. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/18355.

Council of Science Editors:

Van AT. High resolution 3D diffusion tensor imaging for delineating neuronal architectures. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/18355


University of Illinois – Urbana-Champaign

19. Liu, Xianming. Feedback convolutional neural network in applications of computer vision.

Degree: PhD, Electrical & Computer Engr, 2016, University of Illinois – Urbana-Champaign

 With the development of deep neural networks, especially convolutional neural networks, computer vision tasks rely on training data to an unprecedented extent. As the network… (more)

Subjects/Keywords: Convolutional Neural Network; Feedback; Computer Vision

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Liu, X. (2016). Feedback convolutional neural network in applications of computer vision. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/95471

Chicago Manual of Style (16th Edition):

Liu, Xianming. “Feedback convolutional neural network in applications of computer vision.” 2016. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/95471.

MLA Handbook (7th Edition):

Liu, Xianming. “Feedback convolutional neural network in applications of computer vision.” 2016. Web. 22 Oct 2019.

Vancouver:

Liu X. Feedback convolutional neural network in applications of computer vision. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2016. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/95471.

Council of Science Editors:

Liu X. Feedback convolutional neural network in applications of computer vision. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/95471


University of Illinois – Urbana-Champaign

20. Wang, Zhangyang. Task-specific and interpretable feature learning.

Degree: PhD, Electrical & Computer Engr, 2016, University of Illinois – Urbana-Champaign

 Deep learning models have had tremendous impacts in recent years, while a question has been raised by many: Is deep learning just a triumph of… (more)

Subjects/Keywords: deep learning; sparse representation

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, Z. (2016). Task-specific and interpretable feature learning. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/95560

Chicago Manual of Style (16th Edition):

Wang, Zhangyang. “Task-specific and interpretable feature learning.” 2016. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/95560.

MLA Handbook (7th Edition):

Wang, Zhangyang. “Task-specific and interpretable feature learning.” 2016. Web. 22 Oct 2019.

Vancouver:

Wang Z. Task-specific and interpretable feature learning. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2016. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/95560.

Council of Science Editors:

Wang Z. Task-specific and interpretable feature learning. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/95560


University of Illinois – Urbana-Champaign

21. Vo, Loan. Predicting learning success from patterns of pre-training magnetic resonance images.

Degree: PhD, Electrical and Computer Engineering, 2012, University of Illinois – Urbana-Champaign

 Performance in most complex cognitive and psychomotor tasks improves with training, yet the extent of improvement varies among individuals. Is it possible to forecast the… (more)

Subjects/Keywords: nonheme iron; T2*; time-averaged T2*; Magnetic resonance imaging (MRI); learning; striatum; caudate nucleus; putamen; nucleus accumbens

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vo, L. (2012). Predicting learning success from patterns of pre-training magnetic resonance images. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/31976

Chicago Manual of Style (16th Edition):

Vo, Loan. “Predicting learning success from patterns of pre-training magnetic resonance images.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/31976.

MLA Handbook (7th Edition):

Vo, Loan. “Predicting learning success from patterns of pre-training magnetic resonance images.” 2012. Web. 22 Oct 2019.

Vancouver:

Vo L. Predicting learning success from patterns of pre-training magnetic resonance images. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/31976.

Council of Science Editors:

Vo L. Predicting learning success from patterns of pre-training magnetic resonance images. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/31976


University of Illinois – Urbana-Champaign

22. Lin, Kai-Hsiang. Saliency in audio and visual signals.

Degree: PhD, 1200, 2015, University of Illinois – Urbana-Champaign

 This dissertation studies saliency and its applications in audio and visual signals. For each portion of the signal, its saliency means the likelihood of attracting… (more)

Subjects/Keywords: Saliency Detection; License Plate Detection; Foreground Detection; Audio Visualization

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lin, K. (2015). Saliency in audio and visual signals. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/73072

Chicago Manual of Style (16th Edition):

Lin, Kai-Hsiang. “Saliency in audio and visual signals.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/73072.

MLA Handbook (7th Edition):

Lin, Kai-Hsiang. “Saliency in audio and visual signals.” 2015. Web. 22 Oct 2019.

Vancouver:

Lin K. Saliency in audio and visual signals. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/73072.

Council of Science Editors:

Lin K. Saliency in audio and visual signals. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/73072


University of Illinois – Urbana-Champaign

23. Wu, Xiao-Long. Tiger: tiled iterative genome assembler and approximate multi-genome aligner.

Degree: PhD, 1200, 2013, University of Illinois – Urbana-Champaign

 Sequence assembly and alignments are two important stepping stones for comparative genomics. With the fast adoption of the next-generation sequencing (NGS) technologies and the coming… (more)

Subjects/Keywords: De novo genome assembly; next-generation sequencing; third-generation sequencing; iterative genome assembler; read partitioning; Multiple sequence alignment; multiple genome alignment

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wu, X. (2013). Tiger: tiled iterative genome assembler and approximate multi-genome aligner. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/45618

Chicago Manual of Style (16th Edition):

Wu, Xiao-Long. “Tiger: tiled iterative genome assembler and approximate multi-genome aligner.” 2013. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/45618.

MLA Handbook (7th Edition):

Wu, Xiao-Long. “Tiger: tiled iterative genome assembler and approximate multi-genome aligner.” 2013. Web. 22 Oct 2019.

Vancouver:

Wu X. Tiger: tiled iterative genome assembler and approximate multi-genome aligner. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2013. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/45618.

Council of Science Editors:

Wu X. Tiger: tiled iterative genome assembler and approximate multi-genome aligner. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2013. Available from: http://hdl.handle.net/2142/45618


University of Illinois – Urbana-Champaign

24. Tsai, Min-Hsuan. On recommendations in heterogeneous social media networks.

Degree: PhD, 1200, 2014, University of Illinois – Urbana-Champaign

 In this dissertation, we study the problem of social media recommendations with a heavy emphasis on exploiting social, content and contextual information. The problem of… (more)

Subjects/Keywords: heterogeneous network; recommendations

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tsai, M. (2014). On recommendations in heterogeneous social media networks. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/46830

Chicago Manual of Style (16th Edition):

Tsai, Min-Hsuan. “On recommendations in heterogeneous social media networks.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/46830.

MLA Handbook (7th Edition):

Tsai, Min-Hsuan. “On recommendations in heterogeneous social media networks.” 2014. Web. 22 Oct 2019.

Vancouver:

Tsai M. On recommendations in heterogeneous social media networks. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/46830.

Council of Science Editors:

Tsai M. On recommendations in heterogeneous social media networks. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/46830


University of Illinois – Urbana-Champaign

25. Qi, Guo-Jun. Information trust, inference and transfer in social and information networks.

Degree: PhD, 1200, 2014, University of Illinois – Urbana-Champaign

 In this thesis, our overarching goal is to aggregate crowdsourced information that is collected from computing systems based on social networks and represented in information… (more)

Subjects/Keywords: information trust; information inference; information transfer; information networks; social networks

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Qi, G. (2014). Information trust, inference and transfer in social and information networks. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/46854

Chicago Manual of Style (16th Edition):

Qi, Guo-Jun. “Information trust, inference and transfer in social and information networks.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/46854.

MLA Handbook (7th Edition):

Qi, Guo-Jun. “Information trust, inference and transfer in social and information networks.” 2014. Web. 22 Oct 2019.

Vancouver:

Qi G. Information trust, inference and transfer in social and information networks. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/46854.

Council of Science Editors:

Qi G. Information trust, inference and transfer in social and information networks. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/46854


University of Illinois – Urbana-Champaign

26. Sharif, Behzad. Distortion-optimal parallel MRI with sparse sampling: from adaptive spatio-temporal acquisition to self-calibrating reconstruction.

Degree: PhD, 1200, 2010, University of Illinois – Urbana-Champaign

 In this dissertation, we address several inverse problems associated with multi-channel sampling and reconstruction that pertain to parallel magnetic resonance imaging (pMRI). The first part… (more)

Subjects/Keywords: magnetic resonance; Magnetic resonance imaging (MRI); parallel magnetic resonance imaging (MRI); parallel imaging; dynamic magnetic resonance imaging (MRI); cardiac magnetic resonance imaging MRI; real-time magnetic resonance imaging MRI; image formation; nongated; model-based; patient-adaptive; k-t sampling; sensitivity encoding; multi-channel; filter banks; multi-rate systems; minimum filter length; frame theory; dual frame; oversampled; subsampled; generic; perfect reconstruction; perfect interpolation; multi-channel interpolation; distortion free; distortion optimal; aliasing free; self-calibrating; auto-calibrated; image reconstruction; blind identification; blind reconstruction; self calibration; Papoulis sampling; multi-channel sampling; aliasing error; geometric factor; equivalence class; lattice sampling; dual lattice; time-sequential; nonbandlimited; adaptive acquisition; sparse sampling; compressive sampling; spatio-temporal acquisition

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sharif, B. (2010). Distortion-optimal parallel MRI with sparse sampling: from adaptive spatio-temporal acquisition to self-calibrating reconstruction. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/17056

Chicago Manual of Style (16th Edition):

Sharif, Behzad. “Distortion-optimal parallel MRI with sparse sampling: from adaptive spatio-temporal acquisition to self-calibrating reconstruction.” 2010. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/17056.

MLA Handbook (7th Edition):

Sharif, Behzad. “Distortion-optimal parallel MRI with sparse sampling: from adaptive spatio-temporal acquisition to self-calibrating reconstruction.” 2010. Web. 22 Oct 2019.

Vancouver:

Sharif B. Distortion-optimal parallel MRI with sparse sampling: from adaptive spatio-temporal acquisition to self-calibrating reconstruction. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/17056.

Council of Science Editors:

Sharif B. Distortion-optimal parallel MRI with sparse sampling: from adaptive spatio-temporal acquisition to self-calibrating reconstruction. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/17056


University of Illinois – Urbana-Champaign

27. Khorrami, Pooya Rezvani. How deep learning can help emotion recognition.

Degree: PhD, Electrical & Computer Engr, 2017, University of Illinois – Urbana-Champaign

 As technological systems become more and more advanced, the need for including the human during the interaction process has become more apparent. One simple way… (more)

Subjects/Keywords: Emotion recognition; Deep learning; Machine learning; Computer vision; Facial expression recognition; Affective computing; Deep neural networks

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Khorrami, P. R. (2017). How deep learning can help emotion recognition. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/97284

Chicago Manual of Style (16th Edition):

Khorrami, Pooya Rezvani. “How deep learning can help emotion recognition.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/97284.

MLA Handbook (7th Edition):

Khorrami, Pooya Rezvani. “How deep learning can help emotion recognition.” 2017. Web. 22 Oct 2019.

Vancouver:

Khorrami PR. How deep learning can help emotion recognition. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/97284.

Council of Science Editors:

Khorrami PR. How deep learning can help emotion recognition. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/97284


University of Illinois – Urbana-Champaign

28. Kim, Minwoo. Ultrasound tissue perfusion imaging.

Degree: PhD, Electrical & Computer Engr, 2018, University of Illinois – Urbana-Champaign

 Enhanced blood perfusion in a tissue mass is an indication of neo-vascularity and potential malignancy. Ultrasonic pulsed Doppler imaging is a safe and economical modality… (more)

Subjects/Keywords: Ultrasound; Perfusion Imaging; Vascular Imaging; Power Doppler; Adaptive Eigenfilter; Higher-order Singular Value Decomposition

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kim, M. (2018). Ultrasound tissue perfusion imaging. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/101453

Chicago Manual of Style (16th Edition):

Kim, Minwoo. “Ultrasound tissue perfusion imaging.” 2018. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/101453.

MLA Handbook (7th Edition):

Kim, Minwoo. “Ultrasound tissue perfusion imaging.” 2018. Web. 22 Oct 2019.

Vancouver:

Kim M. Ultrasound tissue perfusion imaging. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2018. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/101453.

Council of Science Editors:

Kim M. Ultrasound tissue perfusion imaging. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/101453


University of Illinois – Urbana-Champaign

29. Li, Zhen. Generative and discriminative models for person verification and efficient search.

Degree: PhD, 1200, 2013, University of Illinois – Urbana-Champaign

 This dissertation studies the person verification problem in modern surveillance and video retrieval systems. The problem is to identify whether a pair of face or… (more)

Subjects/Keywords: Person Verification; Efficient Person Search

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Li, Z. (2013). Generative and discriminative models for person verification and efficient search. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/44478

Chicago Manual of Style (16th Edition):

Li, Zhen. “Generative and discriminative models for person verification and efficient search.” 2013. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/44478.

MLA Handbook (7th Edition):

Li, Zhen. “Generative and discriminative models for person verification and efficient search.” 2013. Web. 22 Oct 2019.

Vancouver:

Li Z. Generative and discriminative models for person verification and efficient search. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2013. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/44478.

Council of Science Editors:

Li Z. Generative and discriminative models for person verification and efficient search. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2013. Available from: http://hdl.handle.net/2142/44478


University of Illinois – Urbana-Champaign

30. Chidester, Benjamin Wilson. Histopathological image analysis with connections to genomics.

Degree: PhD, Electrical & Computer Engr, 2017, University of Illinois – Urbana-Champaign

 The fields of imaging and genomics in cancer research have been mostly studied independently, but recently available datasets have made investigation into the synergy of… (more)

Subjects/Keywords: Histopathological image processing; Genomics; Computational biology; Computational pathology; Signal processing; Image processing

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chidester, B. W. (2017). Histopathological image analysis with connections to genomics. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/97764

Chicago Manual of Style (16th Edition):

Chidester, Benjamin Wilson. “Histopathological image analysis with connections to genomics.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 22, 2019. http://hdl.handle.net/2142/97764.

MLA Handbook (7th Edition):

Chidester, Benjamin Wilson. “Histopathological image analysis with connections to genomics.” 2017. Web. 22 Oct 2019.

Vancouver:

Chidester BW. Histopathological image analysis with connections to genomics. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Oct 22]. Available from: http://hdl.handle.net/2142/97764.

Council of Science Editors:

Chidester BW. Histopathological image analysis with connections to genomics. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/97764

[1] [2]

.