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You searched for +publisher:"University of Wisconsin – Milwaukee" +contributor:("Zeyun Yu"). Showing records 1 – 16 of 16 total matches.

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University of Wisconsin – Milwaukee

1. Vashistha, Priya. Automating a 3D Point Matching System for Human Faces.

Degree: MS, Computer Science, 2017, University of Wisconsin – Milwaukee

  3D point matching for human faces is opening new possibilities in the fields of face matching, face recognition, face retrieval, biomedical, virtual reality, etc.… (more)

Subjects/Keywords: 3D; Matching; Point; Point Matching; Computer Sciences

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APA (6th Edition):

Vashistha, P. (2017). Automating a 3D Point Matching System for Human Faces. (Thesis). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/1548

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):

Vashistha, Priya. “Automating a 3D Point Matching System for Human Faces.” 2017. Thesis, University of Wisconsin – Milwaukee. Accessed September 22, 2020. https://dc.uwm.edu/etd/1548.

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

MLA Handbook (7th Edition):

Vashistha, Priya. “Automating a 3D Point Matching System for Human Faces.” 2017. Web. 22 Sep 2020.

Vancouver:

Vashistha P. Automating a 3D Point Matching System for Human Faces. [Internet] [Thesis]. University of Wisconsin – Milwaukee; 2017. [cited 2020 Sep 22]. Available from: https://dc.uwm.edu/etd/1548.

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

Council of Science Editors:

Vashistha P. Automating a 3D Point Matching System for Human Faces. [Thesis]. University of Wisconsin – Milwaukee; 2017. Available from: https://dc.uwm.edu/etd/1548

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


University of Wisconsin – Milwaukee

2. Zhang, Taiyu. An Implementation of Fully Convolutional Network for Surface Mesh Segmentation.

Degree: MS, Computer Science, 2019, University of Wisconsin – Milwaukee

  This thesis presents an implementation of a 3-Dimensional triangular surface mesh segmentation architecture named Shape Fully Convolutional Network, which is proposed by Pengyu Wang… (more)

Subjects/Keywords: 3D Segmentation; Fully Convolutional Network; Graph Convolution; Mesh Segmentation; Segmentation; Surface Mesh; Computer Sciences

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APA (6th Edition):

Zhang, T. (2019). An Implementation of Fully Convolutional Network for Surface Mesh Segmentation. (Thesis). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/2341

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):

Zhang, Taiyu. “An Implementation of Fully Convolutional Network for Surface Mesh Segmentation.” 2019. Thesis, University of Wisconsin – Milwaukee. Accessed September 22, 2020. https://dc.uwm.edu/etd/2341.

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

MLA Handbook (7th Edition):

Zhang, Taiyu. “An Implementation of Fully Convolutional Network for Surface Mesh Segmentation.” 2019. Web. 22 Sep 2020.

Vancouver:

Zhang T. An Implementation of Fully Convolutional Network for Surface Mesh Segmentation. [Internet] [Thesis]. University of Wisconsin – Milwaukee; 2019. [cited 2020 Sep 22]. Available from: https://dc.uwm.edu/etd/2341.

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

Council of Science Editors:

Zhang T. An Implementation of Fully Convolutional Network for Surface Mesh Segmentation. [Thesis]. University of Wisconsin – Milwaukee; 2019. Available from: https://dc.uwm.edu/etd/2341

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


University of Wisconsin – Milwaukee

3. Wang, Chuanbo. Quality Enhancement of 3D Models Reconstructed By RGB-D Camera Systems.

Degree: MS, Computer Science, 2015, University of Wisconsin – Milwaukee

  Low-cost RGB-D cameras like Microsoft's Kinect capture RGB data for each vertex while reconstructing 3D models from objects with obvious drawbacks of poor mesh… (more)

Subjects/Keywords: Histogram Equalization; Kinect; Mesh Smoothing; RGB-D; Computer Sciences

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APA (6th Edition):

Wang, C. (2015). Quality Enhancement of 3D Models Reconstructed By RGB-D Camera Systems. (Thesis). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/1090

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):

Wang, Chuanbo. “Quality Enhancement of 3D Models Reconstructed By RGB-D Camera Systems.” 2015. Thesis, University of Wisconsin – Milwaukee. Accessed September 22, 2020. https://dc.uwm.edu/etd/1090.

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

MLA Handbook (7th Edition):

Wang, Chuanbo. “Quality Enhancement of 3D Models Reconstructed By RGB-D Camera Systems.” 2015. Web. 22 Sep 2020.

Vancouver:

Wang C. Quality Enhancement of 3D Models Reconstructed By RGB-D Camera Systems. [Internet] [Thesis]. University of Wisconsin – Milwaukee; 2015. [cited 2020 Sep 22]. Available from: https://dc.uwm.edu/etd/1090.

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

Council of Science Editors:

Wang C. Quality Enhancement of 3D Models Reconstructed By RGB-D Camera Systems. [Thesis]. University of Wisconsin – Milwaukee; 2015. Available from: https://dc.uwm.edu/etd/1090

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


University of Wisconsin – Milwaukee

4. Pahlavan Tafti, Ahmad. 3D SEM Surface Reconstruction: An Optimized, Adaptive, and Intelligent Approach.

Degree: PhD, Computer Science, 2016, University of Wisconsin – Milwaukee

  Structural analysis of microscopic objects is a longstanding topic in several scientific disciplines, including biological, mechanical, and material sciences. The scanning electron microscope (SEM),… (more)

Subjects/Keywords: 3D Microscopy Vision; 3D SEM Surface Reconstruction; 3D Surface Modeling; Computer Vision; Scanning Electron Microscope; Artificial Intelligence and Robotics; Computer Sciences

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APA (6th Edition):

Pahlavan Tafti, A. (2016). 3D SEM Surface Reconstruction: An Optimized, Adaptive, and Intelligent Approach. (Doctoral Dissertation). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/1186

Chicago Manual of Style (16th Edition):

Pahlavan Tafti, Ahmad. “3D SEM Surface Reconstruction: An Optimized, Adaptive, and Intelligent Approach.” 2016. Doctoral Dissertation, University of Wisconsin – Milwaukee. Accessed September 22, 2020. https://dc.uwm.edu/etd/1186.

MLA Handbook (7th Edition):

Pahlavan Tafti, Ahmad. “3D SEM Surface Reconstruction: An Optimized, Adaptive, and Intelligent Approach.” 2016. Web. 22 Sep 2020.

Vancouver:

Pahlavan Tafti A. 3D SEM Surface Reconstruction: An Optimized, Adaptive, and Intelligent Approach. [Internet] [Doctoral dissertation]. University of Wisconsin – Milwaukee; 2016. [cited 2020 Sep 22]. Available from: https://dc.uwm.edu/etd/1186.

Council of Science Editors:

Pahlavan Tafti A. 3D SEM Surface Reconstruction: An Optimized, Adaptive, and Intelligent Approach. [Doctoral Dissertation]. University of Wisconsin – Milwaukee; 2016. Available from: https://dc.uwm.edu/etd/1186


University of Wisconsin – Milwaukee

5. Liu, Ke. Radial Basis Functions: Biomedical Applications and Parallelization.

Degree: PhD, Engineering, 2016, University of Wisconsin – Milwaukee

  Radial basis function (RBF) is a real-valued function whose values depend only on the distances between an interpolation point and a set of user-specified… (more)

Subjects/Keywords: Biomedical Applications; Parallelization; Radial Basis Functions; Computer Sciences

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APA (6th Edition):

Liu, K. (2016). Radial Basis Functions: Biomedical Applications and Parallelization. (Doctoral Dissertation). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/1382

Chicago Manual of Style (16th Edition):

Liu, Ke. “Radial Basis Functions: Biomedical Applications and Parallelization.” 2016. Doctoral Dissertation, University of Wisconsin – Milwaukee. Accessed September 22, 2020. https://dc.uwm.edu/etd/1382.

MLA Handbook (7th Edition):

Liu, Ke. “Radial Basis Functions: Biomedical Applications and Parallelization.” 2016. Web. 22 Sep 2020.

Vancouver:

Liu K. Radial Basis Functions: Biomedical Applications and Parallelization. [Internet] [Doctoral dissertation]. University of Wisconsin – Milwaukee; 2016. [cited 2020 Sep 22]. Available from: https://dc.uwm.edu/etd/1382.

Council of Science Editors:

Liu K. Radial Basis Functions: Biomedical Applications and Parallelization. [Doctoral Dissertation]. University of Wisconsin – Milwaukee; 2016. Available from: https://dc.uwm.edu/etd/1382


University of Wisconsin – Milwaukee

6. Benzaid, Zachary Salim. Analysis of Bas-Relief Generation Techniques.

Degree: MS, Engineering, 2017, University of Wisconsin – Milwaukee

  Simplifying the process of generating relief sculptures has been an interesting topic of research in the past decade. A relief is a type of… (more)

Subjects/Keywords: Computer Graphics; Image Processing; Model; Relief; Sculpture; Computer Sciences

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APA (6th Edition):

Benzaid, Z. S. (2017). Analysis of Bas-Relief Generation Techniques. (Thesis). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/1446

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):

Benzaid, Zachary Salim. “Analysis of Bas-Relief Generation Techniques.” 2017. Thesis, University of Wisconsin – Milwaukee. Accessed September 22, 2020. https://dc.uwm.edu/etd/1446.

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

MLA Handbook (7th Edition):

Benzaid, Zachary Salim. “Analysis of Bas-Relief Generation Techniques.” 2017. Web. 22 Sep 2020.

Vancouver:

Benzaid ZS. Analysis of Bas-Relief Generation Techniques. [Internet] [Thesis]. University of Wisconsin – Milwaukee; 2017. [cited 2020 Sep 22]. Available from: https://dc.uwm.edu/etd/1446.

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

Council of Science Editors:

Benzaid ZS. Analysis of Bas-Relief Generation Techniques. [Thesis]. University of Wisconsin – Milwaukee; 2017. Available from: https://dc.uwm.edu/etd/1446

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


University of Wisconsin – Milwaukee

7. Guo, Ye. CAD-Based Porous Scaffold Design of Intervertebral Discs in Tissue Engineering.

Degree: PhD, Engineering, 2019, University of Wisconsin – Milwaukee

  With the development and maturity of three-dimensional (3D) printing technology over the past decade, 3D printing has been widely investigated and applied in the… (more)

Subjects/Keywords: 3D Printing; Bio-scaffold; Porous Intervertebral Disc Design; Tissue Engineering; Computer Sciences; Electrical and Electronics

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APA (6th Edition):

Guo, Y. (2019). CAD-Based Porous Scaffold Design of Intervertebral Discs in Tissue Engineering. (Doctoral Dissertation). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/2072

Chicago Manual of Style (16th Edition):

Guo, Ye. “CAD-Based Porous Scaffold Design of Intervertebral Discs in Tissue Engineering.” 2019. Doctoral Dissertation, University of Wisconsin – Milwaukee. Accessed September 22, 2020. https://dc.uwm.edu/etd/2072.

MLA Handbook (7th Edition):

Guo, Ye. “CAD-Based Porous Scaffold Design of Intervertebral Discs in Tissue Engineering.” 2019. Web. 22 Sep 2020.

Vancouver:

Guo Y. CAD-Based Porous Scaffold Design of Intervertebral Discs in Tissue Engineering. [Internet] [Doctoral dissertation]. University of Wisconsin – Milwaukee; 2019. [cited 2020 Sep 22]. Available from: https://dc.uwm.edu/etd/2072.

Council of Science Editors:

Guo Y. CAD-Based Porous Scaffold Design of Intervertebral Discs in Tissue Engineering. [Doctoral Dissertation]. University of Wisconsin – Milwaukee; 2019. Available from: https://dc.uwm.edu/etd/2072


University of Wisconsin – Milwaukee

8. YANG, JINGTAO. Deep Learning Applications in Medical Image and Shape Analysis.

Degree: MS, Computer Science, 2019, University of Wisconsin – Milwaukee

  Deep learning is one of the most rapidly growing fields in computer and data science in the past few years. It has been widely… (more)

Subjects/Keywords: deep learning; teeth segmentation; wound segmentation; Computer Sciences

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

APA (6th Edition):

YANG, J. (2019). Deep Learning Applications in Medical Image and Shape Analysis. (Thesis). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/2144

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):

YANG, JINGTAO. “Deep Learning Applications in Medical Image and Shape Analysis.” 2019. Thesis, University of Wisconsin – Milwaukee. Accessed September 22, 2020. https://dc.uwm.edu/etd/2144.

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

MLA Handbook (7th Edition):

YANG, JINGTAO. “Deep Learning Applications in Medical Image and Shape Analysis.” 2019. Web. 22 Sep 2020.

Vancouver:

YANG J. Deep Learning Applications in Medical Image and Shape Analysis. [Internet] [Thesis]. University of Wisconsin – Milwaukee; 2019. [cited 2020 Sep 22]. Available from: https://dc.uwm.edu/etd/2144.

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

Council of Science Editors:

YANG J. Deep Learning Applications in Medical Image and Shape Analysis. [Thesis]. University of Wisconsin – Milwaukee; 2019. Available from: https://dc.uwm.edu/etd/2144

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


University of Wisconsin – Milwaukee

9. Wang, Chuanbo. Medical Image Segmentation with Deep Learning.

Degree: MS, Engineering, 2020, University of Wisconsin – Milwaukee

  Medical imaging is the technique and process of creating visual representations of the body of a patient for clinical analysis and medical intervention. Healthcare… (more)

Subjects/Keywords: convolutional neural networks; deep learning; medical image segmentation; Electrical and Electronics

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APA (6th Edition):

Wang, C. (2020). Medical Image Segmentation with Deep Learning. (Thesis). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/2434

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):

Wang, Chuanbo. “Medical Image Segmentation with Deep Learning.” 2020. Thesis, University of Wisconsin – Milwaukee. Accessed September 22, 2020. https://dc.uwm.edu/etd/2434.

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

MLA Handbook (7th Edition):

Wang, Chuanbo. “Medical Image Segmentation with Deep Learning.” 2020. Web. 22 Sep 2020.

Vancouver:

Wang C. Medical Image Segmentation with Deep Learning. [Internet] [Thesis]. University of Wisconsin – Milwaukee; 2020. [cited 2020 Sep 22]. Available from: https://dc.uwm.edu/etd/2434.

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

Council of Science Editors:

Wang C. Medical Image Segmentation with Deep Learning. [Thesis]. University of Wisconsin – Milwaukee; 2020. Available from: https://dc.uwm.edu/etd/2434

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


University of Wisconsin – Milwaukee

10. Baghaie, Ahmadreza. Study of Computational Image Matching Techniques: Improving Our View of Biomedical Image Data.

Degree: PhD, Engineering, 2016, University of Wisconsin – Milwaukee

  Image matching techniques are proven to be necessary in various fields of science and engineering, with many new methods and applications introduced over the… (more)

Subjects/Keywords: Biomedical Engineering and Bioengineering; Electrical and Electronics

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APA (6th Edition):

Baghaie, A. (2016). Study of Computational Image Matching Techniques: Improving Our View of Biomedical Image Data. (Doctoral Dissertation). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/1346

Chicago Manual of Style (16th Edition):

Baghaie, Ahmadreza. “Study of Computational Image Matching Techniques: Improving Our View of Biomedical Image Data.” 2016. Doctoral Dissertation, University of Wisconsin – Milwaukee. Accessed September 22, 2020. https://dc.uwm.edu/etd/1346.

MLA Handbook (7th Edition):

Baghaie, Ahmadreza. “Study of Computational Image Matching Techniques: Improving Our View of Biomedical Image Data.” 2016. Web. 22 Sep 2020.

Vancouver:

Baghaie A. Study of Computational Image Matching Techniques: Improving Our View of Biomedical Image Data. [Internet] [Doctoral dissertation]. University of Wisconsin – Milwaukee; 2016. [cited 2020 Sep 22]. Available from: https://dc.uwm.edu/etd/1346.

Council of Science Editors:

Baghaie A. Study of Computational Image Matching Techniques: Improving Our View of Biomedical Image Data. [Doctoral Dissertation]. University of Wisconsin – Milwaukee; 2016. Available from: https://dc.uwm.edu/etd/1346

11. YANG, JINGTAO. Deep Learning Applications in Medical Image and Shape Analysis.

Degree: MS, Computer Science, 2019, University of Wisconsin – Milwaukee

  Deep learning is one of the most rapidly growing fields in computer and data science in the past few years. It has been widely… (more)

Subjects/Keywords: deep learning; teeth segmentation; wound segmentation; Computer Sciences

…ACKNOWLEDGEMENTS I would like to extend my gratitude to Professor Zeyun Yu as my advisor. Under his… 

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APA (6th Edition):

YANG, J. (2019). Deep Learning Applications in Medical Image and Shape Analysis. (Thesis). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/2271

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):

YANG, JINGTAO. “Deep Learning Applications in Medical Image and Shape Analysis.” 2019. Thesis, University of Wisconsin – Milwaukee. Accessed September 22, 2020. https://dc.uwm.edu/etd/2271.

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

MLA Handbook (7th Edition):

YANG, JINGTAO. “Deep Learning Applications in Medical Image and Shape Analysis.” 2019. Web. 22 Sep 2020.

Vancouver:

YANG J. Deep Learning Applications in Medical Image and Shape Analysis. [Internet] [Thesis]. University of Wisconsin – Milwaukee; 2019. [cited 2020 Sep 22]. Available from: https://dc.uwm.edu/etd/2271.

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

Council of Science Editors:

YANG J. Deep Learning Applications in Medical Image and Shape Analysis. [Thesis]. University of Wisconsin – Milwaukee; 2019. Available from: https://dc.uwm.edu/etd/2271

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

12. Xu, Ming. Feature-sensitive and Adaptive Image Triangulation: A Super-pixel-based Scheme for Image Segmentation and Mesh Generation.

Degree: PhD, Engineering, 2016, University of Wisconsin – Milwaukee

  With increasing utilization of various imaging techniques (such as CT, MRI and PET) in medical fields, it is often in great need to computationally… (more)

Subjects/Keywords: Computer Sciences

…grateful to my advisor Prof. Zeyun Yu for recruiting me as one of his Ph.D. students and I was… 

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

APA (6th Edition):

Xu, M. (2016). Feature-sensitive and Adaptive Image Triangulation: A Super-pixel-based Scheme for Image Segmentation and Mesh Generation. (Doctoral Dissertation). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/1431

Chicago Manual of Style (16th Edition):

Xu, Ming. “Feature-sensitive and Adaptive Image Triangulation: A Super-pixel-based Scheme for Image Segmentation and Mesh Generation.” 2016. Doctoral Dissertation, University of Wisconsin – Milwaukee. Accessed September 22, 2020. https://dc.uwm.edu/etd/1431.

MLA Handbook (7th Edition):

Xu, Ming. “Feature-sensitive and Adaptive Image Triangulation: A Super-pixel-based Scheme for Image Segmentation and Mesh Generation.” 2016. Web. 22 Sep 2020.

Vancouver:

Xu M. Feature-sensitive and Adaptive Image Triangulation: A Super-pixel-based Scheme for Image Segmentation and Mesh Generation. [Internet] [Doctoral dissertation]. University of Wisconsin – Milwaukee; 2016. [cited 2020 Sep 22]. Available from: https://dc.uwm.edu/etd/1431.

Council of Science Editors:

Xu M. Feature-sensitive and Adaptive Image Triangulation: A Super-pixel-based Scheme for Image Segmentation and Mesh Generation. [Doctoral Dissertation]. University of Wisconsin – Milwaukee; 2016. Available from: https://dc.uwm.edu/etd/1431

13. Fan, Bohan. Selective Compression of Medical Images via Intelligent Segmentation and 3D-SPIHT Coding.

Degree: MS, Computer Science, 2018, University of Wisconsin – Milwaukee

  ABSTRACT SELECTIVE COMPRESSION OF MEDICAL IMAGES VIA INTELLIGENT SEGMENTATION AND 3D-SPIHT CODING by Bohan Fan The University of Wisconsin-Milwaukee, 2018 Under the Supervision of… (more)

Subjects/Keywords: 3D-SPIHT; 3D-Unet; Image Compression; Region of Interest; Computer Sciences

Zeyun Yu, for his excellent guidance, patience, caring, and inspiring me of working on this… 

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APA (6th Edition):

Fan, B. (2018). Selective Compression of Medical Images via Intelligent Segmentation and 3D-SPIHT Coding. (Thesis). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/1795

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):

Fan, Bohan. “Selective Compression of Medical Images via Intelligent Segmentation and 3D-SPIHT Coding.” 2018. Thesis, University of Wisconsin – Milwaukee. Accessed September 22, 2020. https://dc.uwm.edu/etd/1795.

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

MLA Handbook (7th Edition):

Fan, Bohan. “Selective Compression of Medical Images via Intelligent Segmentation and 3D-SPIHT Coding.” 2018. Web. 22 Sep 2020.

Vancouver:

Fan B. Selective Compression of Medical Images via Intelligent Segmentation and 3D-SPIHT Coding. [Internet] [Thesis]. University of Wisconsin – Milwaukee; 2018. [cited 2020 Sep 22]. Available from: https://dc.uwm.edu/etd/1795.

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

Council of Science Editors:

Fan B. Selective Compression of Medical Images via Intelligent Segmentation and 3D-SPIHT Coding. [Thesis]. University of Wisconsin – Milwaukee; 2018. Available from: https://dc.uwm.edu/etd/1795

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

14. MUNIRAJU, ARCHANA. Analysis of Dynamic Mode Decomposition.

Degree: MS, Engineering, 2018, University of Wisconsin – Milwaukee

  In this master thesis, a study was conducted on a method known as Dynamic mode decomposition(DMD), an equation-free technique which does not require to… (more)

Subjects/Keywords: Computer Sciences; Electrical and Computer Engineering; Mechanical Engineering

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APA (6th Edition):

MUNIRAJU, A. (2018). Analysis of Dynamic Mode Decomposition. (Thesis). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/1879

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):

MUNIRAJU, ARCHANA. “Analysis of Dynamic Mode Decomposition.” 2018. Thesis, University of Wisconsin – Milwaukee. Accessed September 22, 2020. https://dc.uwm.edu/etd/1879.

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

MLA Handbook (7th Edition):

MUNIRAJU, ARCHANA. “Analysis of Dynamic Mode Decomposition.” 2018. Web. 22 Sep 2020.

Vancouver:

MUNIRAJU A. Analysis of Dynamic Mode Decomposition. [Internet] [Thesis]. University of Wisconsin – Milwaukee; 2018. [cited 2020 Sep 22]. Available from: https://dc.uwm.edu/etd/1879.

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

Council of Science Editors:

MUNIRAJU A. Analysis of Dynamic Mode Decomposition. [Thesis]. University of Wisconsin – Milwaukee; 2018. Available from: https://dc.uwm.edu/etd/1879

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

15. Rehman, Waleedur. 3D SEM Surface Reconstruction from Multi-View Images.

Degree: MS, Computer Science, 2018, University of Wisconsin – Milwaukee

  The scanning electron microscope (SEM), a promising imaging equipment has been used to determine the surface properties such as compositions or geometries of specimens… (more)

Subjects/Keywords: 3D Reconstruction; 3D surface reconstruction; Multi-view; SEM; Computer Sciences

…thank professor Zeyun Yu for acting as my advisor for this thesis and for recognizing my… 

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APA (6th Edition):

Rehman, W. (2018). 3D SEM Surface Reconstruction from Multi-View Images. (Thesis). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/1908

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):

Rehman, Waleedur. “3D SEM Surface Reconstruction from Multi-View Images.” 2018. Thesis, University of Wisconsin – Milwaukee. Accessed September 22, 2020. https://dc.uwm.edu/etd/1908.

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

MLA Handbook (7th Edition):

Rehman, Waleedur. “3D SEM Surface Reconstruction from Multi-View Images.” 2018. Web. 22 Sep 2020.

Vancouver:

Rehman W. 3D SEM Surface Reconstruction from Multi-View Images. [Internet] [Thesis]. University of Wisconsin – Milwaukee; 2018. [cited 2020 Sep 22]. Available from: https://dc.uwm.edu/etd/1908.

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

Council of Science Editors:

Rehman W. 3D SEM Surface Reconstruction from Multi-View Images. [Thesis]. University of Wisconsin – Milwaukee; 2018. Available from: https://dc.uwm.edu/etd/1908

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

16. Bashiri, Fereshteh S. Machine Intelligence for Advanced Medical Data Analysis: Manifold Learning Approach.

Degree: PhD, Engineering, 2019, University of Wisconsin – Milwaukee

  In the current work, linear and non-linear manifold learning techniques, specifically Principle Component Analysis (PCA) and Laplacian Eigenmaps, are studied in detail. Their applications… (more)

Subjects/Keywords: Deep learning; Descriptive model; Image Processing; Manifold learning; Spectral analysis; Artificial Intelligence and Robotics; Computer Sciences; Electrical and Electronics

…Acknowledgments First, I would like to express my sincere gratitude to my advisors Prof. Zeyun Yu and… 

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

APA (6th Edition):

Bashiri, F. S. (2019). Machine Intelligence for Advanced Medical Data Analysis: Manifold Learning Approach. (Doctoral Dissertation). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/2043

Chicago Manual of Style (16th Edition):

Bashiri, Fereshteh S. “Machine Intelligence for Advanced Medical Data Analysis: Manifold Learning Approach.” 2019. Doctoral Dissertation, University of Wisconsin – Milwaukee. Accessed September 22, 2020. https://dc.uwm.edu/etd/2043.

MLA Handbook (7th Edition):

Bashiri, Fereshteh S. “Machine Intelligence for Advanced Medical Data Analysis: Manifold Learning Approach.” 2019. Web. 22 Sep 2020.

Vancouver:

Bashiri FS. Machine Intelligence for Advanced Medical Data Analysis: Manifold Learning Approach. [Internet] [Doctoral dissertation]. University of Wisconsin – Milwaukee; 2019. [cited 2020 Sep 22]. Available from: https://dc.uwm.edu/etd/2043.

Council of Science Editors:

Bashiri FS. Machine Intelligence for Advanced Medical Data Analysis: Manifold Learning Approach. [Doctoral Dissertation]. University of Wisconsin – Milwaukee; 2019. Available from: https://dc.uwm.edu/etd/2043

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