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You searched for subject:(image registration). Showing records 1 – 30 of 601 total matches.

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Rice University

1. Vargas, Arturo. Radial MILO: A 4D Image Registration Algorithm Based on Filtering Block Match Data via l1-minimization.

Degree: MA, Engineering, 2015, Rice University

 Minimal l1 Perturbation to Block Match Data (MILO) is a spatially accurate image registration algorithm developed for thoracic CT inhale/exhale images. The MILO algorithm consists… (more)

Subjects/Keywords: Image Registration

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

APA (6th Edition):

Vargas, A. (2015). Radial MILO: A 4D Image Registration Algorithm Based on Filtering Block Match Data via l1-minimization. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/87690

Chicago Manual of Style (16th Edition):

Vargas, Arturo. “Radial MILO: A 4D Image Registration Algorithm Based on Filtering Block Match Data via l1-minimization.” 2015. Masters Thesis, Rice University. Accessed April 08, 2020. http://hdl.handle.net/1911/87690.

MLA Handbook (7th Edition):

Vargas, Arturo. “Radial MILO: A 4D Image Registration Algorithm Based on Filtering Block Match Data via l1-minimization.” 2015. Web. 08 Apr 2020.

Vancouver:

Vargas A. Radial MILO: A 4D Image Registration Algorithm Based on Filtering Block Match Data via l1-minimization. [Internet] [Masters thesis]. Rice University; 2015. [cited 2020 Apr 08]. Available from: http://hdl.handle.net/1911/87690.

Council of Science Editors:

Vargas A. Radial MILO: A 4D Image Registration Algorithm Based on Filtering Block Match Data via l1-minimization. [Masters Thesis]. Rice University; 2015. Available from: http://hdl.handle.net/1911/87690


University of North Texas

2. Duraisamy, Prakash. 3D Reconstruction Using Lidar and Visual Images.

Degree: 2012, University of North Texas

 In this research, multi-perspective image registration using LiDAR and visual images was considered. 2D-3D image registration is a difficult task because it requires the extraction… (more)

Subjects/Keywords: LiDar; registration; image

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APA (6th Edition):

Duraisamy, P. (2012). 3D Reconstruction Using Lidar and Visual Images. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc177193/

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):

Duraisamy, Prakash. “3D Reconstruction Using Lidar and Visual Images.” 2012. Thesis, University of North Texas. Accessed April 08, 2020. https://digital.library.unt.edu/ark:/67531/metadc177193/.

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

MLA Handbook (7th Edition):

Duraisamy, Prakash. “3D Reconstruction Using Lidar and Visual Images.” 2012. Web. 08 Apr 2020.

Vancouver:

Duraisamy P. 3D Reconstruction Using Lidar and Visual Images. [Internet] [Thesis]. University of North Texas; 2012. [cited 2020 Apr 08]. Available from: https://digital.library.unt.edu/ark:/67531/metadc177193/.

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

Council of Science Editors:

Duraisamy P. 3D Reconstruction Using Lidar and Visual Images. [Thesis]. University of North Texas; 2012. Available from: https://digital.library.unt.edu/ark:/67531/metadc177193/

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


Penn State University

3. Zang, Xiaonan. Ebus/ct Fusion for Image-guided Bronchoscopy.

Degree: PhD, Electrical Engineering, 2015, Penn State University

 Many technical innovations in multimodal radiologic imaging and bronchoscopy have arisen to improve lung-cancer staging techniques. Among the innovations, endobronchial ultrasound (EBUS), which provides live… (more)

Subjects/Keywords: image segmentation; image registration; ultrasound

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APA (6th Edition):

Zang, X. (2015). Ebus/ct Fusion for Image-guided Bronchoscopy. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/28651

Chicago Manual of Style (16th Edition):

Zang, Xiaonan. “Ebus/ct Fusion for Image-guided Bronchoscopy.” 2015. Doctoral Dissertation, Penn State University. Accessed April 08, 2020. https://etda.libraries.psu.edu/catalog/28651.

MLA Handbook (7th Edition):

Zang, Xiaonan. “Ebus/ct Fusion for Image-guided Bronchoscopy.” 2015. Web. 08 Apr 2020.

Vancouver:

Zang X. Ebus/ct Fusion for Image-guided Bronchoscopy. [Internet] [Doctoral dissertation]. Penn State University; 2015. [cited 2020 Apr 08]. Available from: https://etda.libraries.psu.edu/catalog/28651.

Council of Science Editors:

Zang X. Ebus/ct Fusion for Image-guided Bronchoscopy. [Doctoral Dissertation]. Penn State University; 2015. Available from: https://etda.libraries.psu.edu/catalog/28651


Delft University of Technology

4. Rekha, S. Optical Coherence Tomography - Histology Registration: An automated framework towards facilitation of intra-operative pathology:.

Degree: 2016, Delft University of Technology

Registration between histology and ex-vivo Full Field Optical Coherence Tomography (FF-OCT) can help in many clinical applications including identifying surgical margin in a tumour tissue… (more)

Subjects/Keywords: Medical Image Processing; Image Registration

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APA (6th Edition):

Rekha, S. (2016). Optical Coherence Tomography - Histology Registration: An automated framework towards facilitation of intra-operative pathology:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:496074f9-ebfa-4760-92a3-3bdd522279b4

Chicago Manual of Style (16th Edition):

Rekha, S. “Optical Coherence Tomography - Histology Registration: An automated framework towards facilitation of intra-operative pathology:.” 2016. Masters Thesis, Delft University of Technology. Accessed April 08, 2020. http://resolver.tudelft.nl/uuid:496074f9-ebfa-4760-92a3-3bdd522279b4.

MLA Handbook (7th Edition):

Rekha, S. “Optical Coherence Tomography - Histology Registration: An automated framework towards facilitation of intra-operative pathology:.” 2016. Web. 08 Apr 2020.

Vancouver:

Rekha S. Optical Coherence Tomography - Histology Registration: An automated framework towards facilitation of intra-operative pathology:. [Internet] [Masters thesis]. Delft University of Technology; 2016. [cited 2020 Apr 08]. Available from: http://resolver.tudelft.nl/uuid:496074f9-ebfa-4760-92a3-3bdd522279b4.

Council of Science Editors:

Rekha S. Optical Coherence Tomography - Histology Registration: An automated framework towards facilitation of intra-operative pathology:. [Masters Thesis]. Delft University of Technology; 2016. Available from: http://resolver.tudelft.nl/uuid:496074f9-ebfa-4760-92a3-3bdd522279b4


University of Notre Dame

5. Peter James Bui. AIR: Accelerated Image Registration</h1>.

Degree: MSin Computer Science and Engineering, Computer Science and Engineering, 2010, University of Notre Dame

  This thesis presents a performance analysis of an accelerated 2-D rigid image registration implementation that employs the Compute Unified Device Architecture (CUDA) programming environment… (more)

Subjects/Keywords: performance analysis; gpgpu; image registration

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APA (6th Edition):

Bui, P. J. (2010). AIR: Accelerated Image Registration</h1>. (Masters Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/d217qn61s8s

Chicago Manual of Style (16th Edition):

Bui, Peter James. “AIR: Accelerated Image Registration</h1>.” 2010. Masters Thesis, University of Notre Dame. Accessed April 08, 2020. https://curate.nd.edu/show/d217qn61s8s.

MLA Handbook (7th Edition):

Bui, Peter James. “AIR: Accelerated Image Registration</h1>.” 2010. Web. 08 Apr 2020.

Vancouver:

Bui PJ. AIR: Accelerated Image Registration</h1>. [Internet] [Masters thesis]. University of Notre Dame; 2010. [cited 2020 Apr 08]. Available from: https://curate.nd.edu/show/d217qn61s8s.

Council of Science Editors:

Bui PJ. AIR: Accelerated Image Registration</h1>. [Masters Thesis]. University of Notre Dame; 2010. Available from: https://curate.nd.edu/show/d217qn61s8s


NSYSU

6. Tseng, Jen-ping. A Study of Feature Matching Approaches for Registration of Remote Sensing Imageries at Various Times from Different Sources.

Degree: Master, Marine Environment and Engineering, 2010, NSYSU

Image Registration plays a very important role in the field of remote sensing. In order to have a better registration quality and make the automatization… (more)

Subjects/Keywords: SIFT; ASIFT; MSER; Image registration

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APA (6th Edition):

Tseng, J. (2010). A Study of Feature Matching Approaches for Registration of Remote Sensing Imageries at Various Times from Different Sources. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1022110-093813

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):

Tseng, Jen-ping. “A Study of Feature Matching Approaches for Registration of Remote Sensing Imageries at Various Times from Different Sources.” 2010. Thesis, NSYSU. Accessed April 08, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1022110-093813.

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

MLA Handbook (7th Edition):

Tseng, Jen-ping. “A Study of Feature Matching Approaches for Registration of Remote Sensing Imageries at Various Times from Different Sources.” 2010. Web. 08 Apr 2020.

Vancouver:

Tseng J. A Study of Feature Matching Approaches for Registration of Remote Sensing Imageries at Various Times from Different Sources. [Internet] [Thesis]. NSYSU; 2010. [cited 2020 Apr 08]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1022110-093813.

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

Council of Science Editors:

Tseng J. A Study of Feature Matching Approaches for Registration of Remote Sensing Imageries at Various Times from Different Sources. [Thesis]. NSYSU; 2010. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1022110-093813

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


Oregon State University

7. Liu, Tian. Region based image matching for 3D object recognition.

Degree: MS, Computer Science, 2010, Oregon State University

 3D object recognition is a very difficult and important problem in computer vision, arising in a wide range of applications. Typically in 3D object recognition,… (more)

Subjects/Keywords: object recognition; Image registration

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APA (6th Edition):

Liu, T. (2010). Region based image matching for 3D object recognition. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/16869

Chicago Manual of Style (16th Edition):

Liu, Tian. “Region based image matching for 3D object recognition.” 2010. Masters Thesis, Oregon State University. Accessed April 08, 2020. http://hdl.handle.net/1957/16869.

MLA Handbook (7th Edition):

Liu, Tian. “Region based image matching for 3D object recognition.” 2010. Web. 08 Apr 2020.

Vancouver:

Liu T. Region based image matching for 3D object recognition. [Internet] [Masters thesis]. Oregon State University; 2010. [cited 2020 Apr 08]. Available from: http://hdl.handle.net/1957/16869.

Council of Science Editors:

Liu T. Region based image matching for 3D object recognition. [Masters Thesis]. Oregon State University; 2010. Available from: http://hdl.handle.net/1957/16869


Mississippi State University

8. Hu, Lequn. DEVELOPMENT AND EVALUATION OF IMAGE REGISTRATION AND SEGMENTATION ALGORITHMS FOR LWIR WAVELENGTH INFRARED AND VISIBLE WAVELENGTH IMAGES.

Degree: MS, Electrical and Computer Engineering, 2009, Mississippi State University

 In this thesis, algorithms for image registration and segmentation are developed to locate and identify DU penetrators and associated metal projectile debris on or near… (more)

Subjects/Keywords: image processing; registration; segmentation; LWIR

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APA (6th Edition):

Hu, L. (2009). DEVELOPMENT AND EVALUATION OF IMAGE REGISTRATION AND SEGMENTATION ALGORITHMS FOR LWIR WAVELENGTH INFRARED AND VISIBLE WAVELENGTH IMAGES. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-07082009-171221/ ;

Chicago Manual of Style (16th Edition):

Hu, Lequn. “DEVELOPMENT AND EVALUATION OF IMAGE REGISTRATION AND SEGMENTATION ALGORITHMS FOR LWIR WAVELENGTH INFRARED AND VISIBLE WAVELENGTH IMAGES.” 2009. Masters Thesis, Mississippi State University. Accessed April 08, 2020. http://sun.library.msstate.edu/ETD-db/theses/available/etd-07082009-171221/ ;.

MLA Handbook (7th Edition):

Hu, Lequn. “DEVELOPMENT AND EVALUATION OF IMAGE REGISTRATION AND SEGMENTATION ALGORITHMS FOR LWIR WAVELENGTH INFRARED AND VISIBLE WAVELENGTH IMAGES.” 2009. Web. 08 Apr 2020.

Vancouver:

Hu L. DEVELOPMENT AND EVALUATION OF IMAGE REGISTRATION AND SEGMENTATION ALGORITHMS FOR LWIR WAVELENGTH INFRARED AND VISIBLE WAVELENGTH IMAGES. [Internet] [Masters thesis]. Mississippi State University; 2009. [cited 2020 Apr 08]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-07082009-171221/ ;.

Council of Science Editors:

Hu L. DEVELOPMENT AND EVALUATION OF IMAGE REGISTRATION AND SEGMENTATION ALGORITHMS FOR LWIR WAVELENGTH INFRARED AND VISIBLE WAVELENGTH IMAGES. [Masters Thesis]. Mississippi State University; 2009. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-07082009-171221/ ;

9. SUN YIN. Fast registration of contrast-enhanced magnetic resonance images of the breast.

Degree: 2007, National University of Singapore

Subjects/Keywords: Image registration

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APA (6th Edition):

YIN, S. (2007). Fast registration of contrast-enhanced magnetic resonance images of the breast. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/13046

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):

YIN, SUN. “Fast registration of contrast-enhanced magnetic resonance images of the breast.” 2007. Thesis, National University of Singapore. Accessed April 08, 2020. http://scholarbank.nus.edu.sg/handle/10635/13046.

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

MLA Handbook (7th Edition):

YIN, SUN. “Fast registration of contrast-enhanced magnetic resonance images of the breast.” 2007. Web. 08 Apr 2020.

Vancouver:

YIN S. Fast registration of contrast-enhanced magnetic resonance images of the breast. [Internet] [Thesis]. National University of Singapore; 2007. [cited 2020 Apr 08]. Available from: http://scholarbank.nus.edu.sg/handle/10635/13046.

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

Council of Science Editors:

YIN S. Fast registration of contrast-enhanced magnetic resonance images of the breast. [Thesis]. National University of Singapore; 2007. Available from: http://scholarbank.nus.edu.sg/handle/10635/13046

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


University of Illinois – Chicago

10. Caldwell, Brandon M. Correlating Histopathology and Radiologic Imaging to Validate Prostate Cancer Detection.

Degree: 2018, University of Illinois – Chicago

 Radiologic imaging is entrenched in standard practice for screening men with suspicion of prostate cancer (PCa) and to inform treatment decisions. Correlating in-vivo imaging to… (more)

Subjects/Keywords: prostate cancer; image registration; MRI

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APA (6th Edition):

Caldwell, B. M. (2018). Correlating Histopathology and Radiologic Imaging to Validate Prostate Cancer Detection. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/22664

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):

Caldwell, Brandon M. “Correlating Histopathology and Radiologic Imaging to Validate Prostate Cancer Detection.” 2018. Thesis, University of Illinois – Chicago. Accessed April 08, 2020. http://hdl.handle.net/10027/22664.

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

MLA Handbook (7th Edition):

Caldwell, Brandon M. “Correlating Histopathology and Radiologic Imaging to Validate Prostate Cancer Detection.” 2018. Web. 08 Apr 2020.

Vancouver:

Caldwell BM. Correlating Histopathology and Radiologic Imaging to Validate Prostate Cancer Detection. [Internet] [Thesis]. University of Illinois – Chicago; 2018. [cited 2020 Apr 08]. Available from: http://hdl.handle.net/10027/22664.

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

Council of Science Editors:

Caldwell BM. Correlating Histopathology and Radiologic Imaging to Validate Prostate Cancer Detection. [Thesis]. University of Illinois – Chicago; 2018. Available from: http://hdl.handle.net/10027/22664

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


Queens University

11. Eveleigh, Ryan. MRI Registration for Human Hip Kinematics .

Degree: Mechanical and Materials Engineering, 2016, Queens University

 Measurement of joint kinematics can provide knowledge to help improve joint prosthesis design, as well as identify joint motion patterns that may lead to joint… (more)

Subjects/Keywords: Hip Kinematics; Image Registration; MRI

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APA (6th Edition):

Eveleigh, R. (2016). MRI Registration for Human Hip Kinematics . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/14634

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):

Eveleigh, Ryan. “MRI Registration for Human Hip Kinematics .” 2016. Thesis, Queens University. Accessed April 08, 2020. http://hdl.handle.net/1974/14634.

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

MLA Handbook (7th Edition):

Eveleigh, Ryan. “MRI Registration for Human Hip Kinematics .” 2016. Web. 08 Apr 2020.

Vancouver:

Eveleigh R. MRI Registration for Human Hip Kinematics . [Internet] [Thesis]. Queens University; 2016. [cited 2020 Apr 08]. Available from: http://hdl.handle.net/1974/14634.

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

Council of Science Editors:

Eveleigh R. MRI Registration for Human Hip Kinematics . [Thesis]. Queens University; 2016. Available from: http://hdl.handle.net/1974/14634

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


Hong Kong University of Science and Technology

12. So, Wai King. Learning-based dissimilarity measure for rigid and non-rigid medical image registration.

Degree: 2017, Hong Kong University of Science and Technology

Image registration is widely used in different areas. It plays an important role in medical image analysis, group analysis and statistical parametric mapping. For the… (more)

Subjects/Keywords: Image registration ; Analysis ; Diagnostic imaging

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APA (6th Edition):

So, W. K. (2017). Learning-based dissimilarity measure for rigid and non-rigid medical image registration. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-87953 ; https://doi.org/10.14711/thesis-b1778942 ; http://repository.ust.hk/ir/bitstream/1783.1-87953/1/th_redirect.html

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):

So, Wai King. “Learning-based dissimilarity measure for rigid and non-rigid medical image registration.” 2017. Thesis, Hong Kong University of Science and Technology. Accessed April 08, 2020. http://repository.ust.hk/ir/Record/1783.1-87953 ; https://doi.org/10.14711/thesis-b1778942 ; http://repository.ust.hk/ir/bitstream/1783.1-87953/1/th_redirect.html.

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

MLA Handbook (7th Edition):

So, Wai King. “Learning-based dissimilarity measure for rigid and non-rigid medical image registration.” 2017. Web. 08 Apr 2020.

Vancouver:

So WK. Learning-based dissimilarity measure for rigid and non-rigid medical image registration. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2017. [cited 2020 Apr 08]. Available from: http://repository.ust.hk/ir/Record/1783.1-87953 ; https://doi.org/10.14711/thesis-b1778942 ; http://repository.ust.hk/ir/bitstream/1783.1-87953/1/th_redirect.html.

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

Council of Science Editors:

So WK. Learning-based dissimilarity measure for rigid and non-rigid medical image registration. [Thesis]. Hong Kong University of Science and Technology; 2017. Available from: http://repository.ust.hk/ir/Record/1783.1-87953 ; https://doi.org/10.14711/thesis-b1778942 ; http://repository.ust.hk/ir/bitstream/1783.1-87953/1/th_redirect.html

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


Drexel University

13. Mekontchou Yomba, D. Yoan L. Topology Preserving Nonlinear Image Registration.

Degree: 2019, Drexel University

Image Registration is an algorithmic optimization process primarily aimed at estimating the most optimal transformation from one image's coordinate plane onto another. Nonlinear image registration(more)

Subjects/Keywords: Computer Engineering; Image registration

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APA (6th Edition):

Mekontchou Yomba, D. Y. L. (2019). Topology Preserving Nonlinear Image Registration. (Thesis). Drexel University. Retrieved from https://idea.library.drexel.edu/islandora/object/idea%3A9470

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):

Mekontchou Yomba, D Yoan L. “Topology Preserving Nonlinear Image Registration.” 2019. Thesis, Drexel University. Accessed April 08, 2020. https://idea.library.drexel.edu/islandora/object/idea%3A9470.

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

MLA Handbook (7th Edition):

Mekontchou Yomba, D Yoan L. “Topology Preserving Nonlinear Image Registration.” 2019. Web. 08 Apr 2020.

Vancouver:

Mekontchou Yomba DYL. Topology Preserving Nonlinear Image Registration. [Internet] [Thesis]. Drexel University; 2019. [cited 2020 Apr 08]. Available from: https://idea.library.drexel.edu/islandora/object/idea%3A9470.

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

Council of Science Editors:

Mekontchou Yomba DYL. Topology Preserving Nonlinear Image Registration. [Thesis]. Drexel University; 2019. Available from: https://idea.library.drexel.edu/islandora/object/idea%3A9470

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


University of Alberta

14. Popuri, Karteek. A unified FEM-based framework for medical image registration and segmentation.

Degree: PhD, Department of Computing Science, 2013, University of Alberta

 Medical image registration and segmentation are challenging because, medical images are generally corrupted by noise, image artifacts and the various anatomical regions of interest in… (more)

Subjects/Keywords: Finite element method; Image registration; Image segmentation

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APA (6th Edition):

Popuri, K. (2013). A unified FEM-based framework for medical image registration and segmentation. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/0z708w85q

Chicago Manual of Style (16th Edition):

Popuri, Karteek. “A unified FEM-based framework for medical image registration and segmentation.” 2013. Doctoral Dissertation, University of Alberta. Accessed April 08, 2020. https://era.library.ualberta.ca/files/0z708w85q.

MLA Handbook (7th Edition):

Popuri, Karteek. “A unified FEM-based framework for medical image registration and segmentation.” 2013. Web. 08 Apr 2020.

Vancouver:

Popuri K. A unified FEM-based framework for medical image registration and segmentation. [Internet] [Doctoral dissertation]. University of Alberta; 2013. [cited 2020 Apr 08]. Available from: https://era.library.ualberta.ca/files/0z708w85q.

Council of Science Editors:

Popuri K. A unified FEM-based framework for medical image registration and segmentation. [Doctoral Dissertation]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/0z708w85q


University of Notre Dame

15. Daniel Govinda Rinzler. Design and Implementation of an FPGA-Based Image Processor: Exploring a Distributed Data Multi-Core Co-Processor Architecture</h1>.

Degree: MSin Computer Science and Engineering, Computer Science and Engineering, 2009, University of Notre Dame

  This thesis explores using a hybrid processing approach for doing application specific memory intensive processing. The hybrid system uses a general purpose processor (GPP)… (more)

Subjects/Keywords: co-processor; FPGA; image processing; image registration

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APA (6th Edition):

Rinzler, D. G. (2009). Design and Implementation of an FPGA-Based Image Processor: Exploring a Distributed Data Multi-Core Co-Processor Architecture</h1>. (Masters Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/ms35t724t77

Chicago Manual of Style (16th Edition):

Rinzler, Daniel Govinda. “Design and Implementation of an FPGA-Based Image Processor: Exploring a Distributed Data Multi-Core Co-Processor Architecture</h1>.” 2009. Masters Thesis, University of Notre Dame. Accessed April 08, 2020. https://curate.nd.edu/show/ms35t724t77.

MLA Handbook (7th Edition):

Rinzler, Daniel Govinda. “Design and Implementation of an FPGA-Based Image Processor: Exploring a Distributed Data Multi-Core Co-Processor Architecture</h1>.” 2009. Web. 08 Apr 2020.

Vancouver:

Rinzler DG. Design and Implementation of an FPGA-Based Image Processor: Exploring a Distributed Data Multi-Core Co-Processor Architecture</h1>. [Internet] [Masters thesis]. University of Notre Dame; 2009. [cited 2020 Apr 08]. Available from: https://curate.nd.edu/show/ms35t724t77.

Council of Science Editors:

Rinzler DG. Design and Implementation of an FPGA-Based Image Processor: Exploring a Distributed Data Multi-Core Co-Processor Architecture</h1>. [Masters Thesis]. University of Notre Dame; 2009. Available from: https://curate.nd.edu/show/ms35t724t77


Vanderbilt University

16. Collins, Jarrod Alan. Uncertainty in Image-to-Physical Registration for Soft-Tissue Image Guided Surgery.

Degree: MS, Biomedical Engineering, 2015, Vanderbilt University

Image-guided surgical methods have been investigated as techniques to increase the localization accuracy of hepatic cancer treatments such as resection and ablation. Mathematical registration methods… (more)

Subjects/Keywords: surgical navigation; registration; surface registration; image guided liver surgery; image-guidance

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APA (6th Edition):

Collins, J. A. (2015). Uncertainty in Image-to-Physical Registration for Soft-Tissue Image Guided Surgery. (Masters Thesis). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu//available/etd-11202015-145002/ ;

Chicago Manual of Style (16th Edition):

Collins, Jarrod Alan. “Uncertainty in Image-to-Physical Registration for Soft-Tissue Image Guided Surgery.” 2015. Masters Thesis, Vanderbilt University. Accessed April 08, 2020. http://etd.library.vanderbilt.edu//available/etd-11202015-145002/ ;.

MLA Handbook (7th Edition):

Collins, Jarrod Alan. “Uncertainty in Image-to-Physical Registration for Soft-Tissue Image Guided Surgery.” 2015. Web. 08 Apr 2020.

Vancouver:

Collins JA. Uncertainty in Image-to-Physical Registration for Soft-Tissue Image Guided Surgery. [Internet] [Masters thesis]. Vanderbilt University; 2015. [cited 2020 Apr 08]. Available from: http://etd.library.vanderbilt.edu//available/etd-11202015-145002/ ;.

Council of Science Editors:

Collins JA. Uncertainty in Image-to-Physical Registration for Soft-Tissue Image Guided Surgery. [Masters Thesis]. Vanderbilt University; 2015. Available from: http://etd.library.vanderbilt.edu//available/etd-11202015-145002/ ;


NSYSU

17. Yao, Yu-ting. Using Fringe Projection technique to form a high-resolution image from multiple low-resolution image.

Degree: Master, Electro-Optical Engineering, 2012, NSYSU

 This paper presents a set of Image Registration, Image Integration, interpolation and image restoration and other technology, the number of low-resolution images synthesized high-resolution image.… (more)

Subjects/Keywords: image registration; super resolution image; image restoration; interpolation; image integration

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APA (6th Edition):

Yao, Y. (2012). Using Fringe Projection technique to form a high-resolution image from multiple low-resolution image. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0731112-182101

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):

Yao, Yu-ting. “Using Fringe Projection technique to form a high-resolution image from multiple low-resolution image.” 2012. Thesis, NSYSU. Accessed April 08, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0731112-182101.

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

MLA Handbook (7th Edition):

Yao, Yu-ting. “Using Fringe Projection technique to form a high-resolution image from multiple low-resolution image.” 2012. Web. 08 Apr 2020.

Vancouver:

Yao Y. Using Fringe Projection technique to form a high-resolution image from multiple low-resolution image. [Internet] [Thesis]. NSYSU; 2012. [cited 2020 Apr 08]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0731112-182101.

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

Council of Science Editors:

Yao Y. Using Fringe Projection technique to form a high-resolution image from multiple low-resolution image. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0731112-182101

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


University of Waterloo

18. Rincon, Jose. Facilitating Breast Conserving Surgery Using Preoperative MRI.

Degree: 2018, University of Waterloo

 Breast cancer is currently considered the most widespread malignancy in women, which costs the lives of approximately 400,000 people annually worldwide. While extremely useful for… (more)

Subjects/Keywords: prone to supine breast mri registration; image registration; image segmentation; breast mri; image processing

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APA (6th Edition):

Rincon, J. (2018). Facilitating Breast Conserving Surgery Using Preoperative MRI. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/13886

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):

Rincon, Jose. “Facilitating Breast Conserving Surgery Using Preoperative MRI.” 2018. Thesis, University of Waterloo. Accessed April 08, 2020. http://hdl.handle.net/10012/13886.

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

MLA Handbook (7th Edition):

Rincon, Jose. “Facilitating Breast Conserving Surgery Using Preoperative MRI.” 2018. Web. 08 Apr 2020.

Vancouver:

Rincon J. Facilitating Breast Conserving Surgery Using Preoperative MRI. [Internet] [Thesis]. University of Waterloo; 2018. [cited 2020 Apr 08]. Available from: http://hdl.handle.net/10012/13886.

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

Council of Science Editors:

Rincon J. Facilitating Breast Conserving Surgery Using Preoperative MRI. [Thesis]. University of Waterloo; 2018. Available from: http://hdl.handle.net/10012/13886

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


University of Sydney

19. Zheng, Chaojie. Deformable Image Registration with Uncertainty-Awareness .

Degree: 2019, University of Sydney

 The popularization of information-sensing devices and rapid development of data storage and computing capability have launched the ongoing data explosion, and the value of such… (more)

Subjects/Keywords: image registration; deformable registration; registration uncertainty; demons; laminar flow; multiview collaborative learning

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APA (6th Edition):

Zheng, C. (2019). Deformable Image Registration with Uncertainty-Awareness . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/20948

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):

Zheng, Chaojie. “Deformable Image Registration with Uncertainty-Awareness .” 2019. Thesis, University of Sydney. Accessed April 08, 2020. http://hdl.handle.net/2123/20948.

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

MLA Handbook (7th Edition):

Zheng, Chaojie. “Deformable Image Registration with Uncertainty-Awareness .” 2019. Web. 08 Apr 2020.

Vancouver:

Zheng C. Deformable Image Registration with Uncertainty-Awareness . [Internet] [Thesis]. University of Sydney; 2019. [cited 2020 Apr 08]. Available from: http://hdl.handle.net/2123/20948.

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

Council of Science Editors:

Zheng C. Deformable Image Registration with Uncertainty-Awareness . [Thesis]. University of Sydney; 2019. Available from: http://hdl.handle.net/2123/20948

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


University of Toronto

20. Tong, Hoi-Ki. Quantification of Vertebral Trabecular Bone Strain Via Feature Based Image Registration.

Degree: 2015, University of Toronto

Image based strain measurement within whole bone structures can be used to better understand fracture risk under load. This project aims to apply feature registration(more)

Subjects/Keywords: Feature Registration; Image Registration; Meshless Method; microCT; Strain; Trabecular Bone; 0541

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APA (6th Edition):

Tong, H. (2015). Quantification of Vertebral Trabecular Bone Strain Via Feature Based Image Registration. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/70717

Chicago Manual of Style (16th Edition):

Tong, Hoi-Ki. “Quantification of Vertebral Trabecular Bone Strain Via Feature Based Image Registration.” 2015. Masters Thesis, University of Toronto. Accessed April 08, 2020. http://hdl.handle.net/1807/70717.

MLA Handbook (7th Edition):

Tong, Hoi-Ki. “Quantification of Vertebral Trabecular Bone Strain Via Feature Based Image Registration.” 2015. Web. 08 Apr 2020.

Vancouver:

Tong H. Quantification of Vertebral Trabecular Bone Strain Via Feature Based Image Registration. [Internet] [Masters thesis]. University of Toronto; 2015. [cited 2020 Apr 08]. Available from: http://hdl.handle.net/1807/70717.

Council of Science Editors:

Tong H. Quantification of Vertebral Trabecular Bone Strain Via Feature Based Image Registration. [Masters Thesis]. University of Toronto; 2015. Available from: http://hdl.handle.net/1807/70717


University of Toronto

21. Shojaii, Rushin. Reconstruction of 3D Histology Volumes from Breast Lumpectomy Specimens.

Degree: PhD, 2017, University of Toronto

 Three dimensional reconstruction and examination of microscopic images of tissue sections can enhance the study of normal and disease processes, particularly in studies concerned with… (more)

Subjects/Keywords: Breast histology; Deformable registration; Histology image registration; Histology volume reconstruction; 0574

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APA (6th Edition):

Shojaii, R. (2017). Reconstruction of 3D Histology Volumes from Breast Lumpectomy Specimens. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/82638

Chicago Manual of Style (16th Edition):

Shojaii, Rushin. “Reconstruction of 3D Histology Volumes from Breast Lumpectomy Specimens.” 2017. Doctoral Dissertation, University of Toronto. Accessed April 08, 2020. http://hdl.handle.net/1807/82638.

MLA Handbook (7th Edition):

Shojaii, Rushin. “Reconstruction of 3D Histology Volumes from Breast Lumpectomy Specimens.” 2017. Web. 08 Apr 2020.

Vancouver:

Shojaii R. Reconstruction of 3D Histology Volumes from Breast Lumpectomy Specimens. [Internet] [Doctoral dissertation]. University of Toronto; 2017. [cited 2020 Apr 08]. Available from: http://hdl.handle.net/1807/82638.

Council of Science Editors:

Shojaii R. Reconstruction of 3D Histology Volumes from Breast Lumpectomy Specimens. [Doctoral Dissertation]. University of Toronto; 2017. Available from: http://hdl.handle.net/1807/82638


Vanderbilt University

22. Chen, Antong. Automatic segmentation of structures in CT images for head and neck intensity-modulated radiation therapy.

Degree: PhD, Electrical Engineering, 2012, Vanderbilt University

 Cancers in the head and neck region account for approximately 3 percent of all cancers in the United States, as it is reported by the… (more)

Subjects/Keywords: IMRT; image registration; medical image processing; image segmentaiton; active shape model

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APA (6th Edition):

Chen, A. (2012). Automatic segmentation of structures in CT images for head and neck intensity-modulated radiation therapy. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-07252012-171548/ ;

Chicago Manual of Style (16th Edition):

Chen, Antong. “Automatic segmentation of structures in CT images for head and neck intensity-modulated radiation therapy.” 2012. Doctoral Dissertation, Vanderbilt University. Accessed April 08, 2020. http://etd.library.vanderbilt.edu/available/etd-07252012-171548/ ;.

MLA Handbook (7th Edition):

Chen, Antong. “Automatic segmentation of structures in CT images for head and neck intensity-modulated radiation therapy.” 2012. Web. 08 Apr 2020.

Vancouver:

Chen A. Automatic segmentation of structures in CT images for head and neck intensity-modulated radiation therapy. [Internet] [Doctoral dissertation]. Vanderbilt University; 2012. [cited 2020 Apr 08]. Available from: http://etd.library.vanderbilt.edu/available/etd-07252012-171548/ ;.

Council of Science Editors:

Chen A. Automatic segmentation of structures in CT images for head and neck intensity-modulated radiation therapy. [Doctoral Dissertation]. Vanderbilt University; 2012. Available from: http://etd.library.vanderbilt.edu/available/etd-07252012-171548/ ;


University of Melbourne

23. LIANG, XI. Breast cancer detection and diagnosis in dynamic contrast-enhanced magnetic resonance imaging.

Degree: 2013, University of Melbourne

 Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of the breast is a medical imaging tool used to detect and diagnose breast disease. A DCE-MR image is… (more)

Subjects/Keywords: image processing; MRI; breast cancer; image registration; image segmentation

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APA (6th Edition):

LIANG, X. (2013). Breast cancer detection and diagnosis in dynamic contrast-enhanced magnetic resonance imaging. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/52778

Chicago Manual of Style (16th Edition):

LIANG, XI. “Breast cancer detection and diagnosis in dynamic contrast-enhanced magnetic resonance imaging.” 2013. Doctoral Dissertation, University of Melbourne. Accessed April 08, 2020. http://hdl.handle.net/11343/52778.

MLA Handbook (7th Edition):

LIANG, XI. “Breast cancer detection and diagnosis in dynamic contrast-enhanced magnetic resonance imaging.” 2013. Web. 08 Apr 2020.

Vancouver:

LIANG X. Breast cancer detection and diagnosis in dynamic contrast-enhanced magnetic resonance imaging. [Internet] [Doctoral dissertation]. University of Melbourne; 2013. [cited 2020 Apr 08]. Available from: http://hdl.handle.net/11343/52778.

Council of Science Editors:

LIANG X. Breast cancer detection and diagnosis in dynamic contrast-enhanced magnetic resonance imaging. [Doctoral Dissertation]. University of Melbourne; 2013. Available from: http://hdl.handle.net/11343/52778


Rochester Institute of Technology

24. Winkstern, Troy. Solving nonrigid registration with sliding and bending boundary conditions.

Degree: School of Mathematical Sciences (COS), 2011, Rochester Institute of Technology

 In the past 20 years, there have been significant advances in the use of medical imaging in patient care. Today, image registration is being used… (more)

Subjects/Keywords: Boundary value problem; Diffusion regularizer; Image registration

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APA (6th Edition):

Winkstern, T. (2011). Solving nonrigid registration with sliding and bending boundary conditions. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/4997

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):

Winkstern, Troy. “Solving nonrigid registration with sliding and bending boundary conditions.” 2011. Thesis, Rochester Institute of Technology. Accessed April 08, 2020. https://scholarworks.rit.edu/theses/4997.

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

MLA Handbook (7th Edition):

Winkstern, Troy. “Solving nonrigid registration with sliding and bending boundary conditions.” 2011. Web. 08 Apr 2020.

Vancouver:

Winkstern T. Solving nonrigid registration with sliding and bending boundary conditions. [Internet] [Thesis]. Rochester Institute of Technology; 2011. [cited 2020 Apr 08]. Available from: https://scholarworks.rit.edu/theses/4997.

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

Council of Science Editors:

Winkstern T. Solving nonrigid registration with sliding and bending boundary conditions. [Thesis]. Rochester Institute of Technology; 2011. Available from: https://scholarworks.rit.edu/theses/4997

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


Louisiana State University

25. Xu, Huanhuan. Adaptive Stochastic Conjugate Gradient optimization for temporal medical image registration.

Degree: MS, Applied Mathematics, 2013, Louisiana State University

 We propose an Adaptive Stochastic Conjugate Gradient (ASCG) optimization algorithm for temporal medical image registration. This method combines the advantages of Conjugate Gradient (CG) method… (more)

Subjects/Keywords: image registration; adaptive stochastic conjugate gradient optimizatio

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APA (6th Edition):

Xu, H. (2013). Adaptive Stochastic Conjugate Gradient optimization for temporal medical image registration. (Masters Thesis). Louisiana State University. Retrieved from etd-09032013-113122 ; https://digitalcommons.lsu.edu/gradschool_theses/324

Chicago Manual of Style (16th Edition):

Xu, Huanhuan. “Adaptive Stochastic Conjugate Gradient optimization for temporal medical image registration.” 2013. Masters Thesis, Louisiana State University. Accessed April 08, 2020. etd-09032013-113122 ; https://digitalcommons.lsu.edu/gradschool_theses/324.

MLA Handbook (7th Edition):

Xu, Huanhuan. “Adaptive Stochastic Conjugate Gradient optimization for temporal medical image registration.” 2013. Web. 08 Apr 2020.

Vancouver:

Xu H. Adaptive Stochastic Conjugate Gradient optimization for temporal medical image registration. [Internet] [Masters thesis]. Louisiana State University; 2013. [cited 2020 Apr 08]. Available from: etd-09032013-113122 ; https://digitalcommons.lsu.edu/gradschool_theses/324.

Council of Science Editors:

Xu H. Adaptive Stochastic Conjugate Gradient optimization for temporal medical image registration. [Masters Thesis]. Louisiana State University; 2013. Available from: etd-09032013-113122 ; https://digitalcommons.lsu.edu/gradschool_theses/324


Universitat Autònoma de Barcelona

26. Mateo Prous, Xavier. Algorithms for the Multiple Variants of Registration in 3D Range Data.

Degree: Departament de Ciències de la Computació, 2013, Universitat Autònoma de Barcelona

 Ever since the photography was born, there exists a high interest in the possibility of detecting a third dimension in the images obtained by a… (more)

Subjects/Keywords: Range image; Registration; Bayesian; Tecnologies; 68

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APA (6th Edition):

Mateo Prous, X. (2013). Algorithms for the Multiple Variants of Registration in 3D Range Data. (Thesis). Universitat Autònoma de Barcelona. Retrieved from http://hdl.handle.net/10803/129097

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):

Mateo Prous, Xavier. “Algorithms for the Multiple Variants of Registration in 3D Range Data.” 2013. Thesis, Universitat Autònoma de Barcelona. Accessed April 08, 2020. http://hdl.handle.net/10803/129097.

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

MLA Handbook (7th Edition):

Mateo Prous, Xavier. “Algorithms for the Multiple Variants of Registration in 3D Range Data.” 2013. Web. 08 Apr 2020.

Vancouver:

Mateo Prous X. Algorithms for the Multiple Variants of Registration in 3D Range Data. [Internet] [Thesis]. Universitat Autònoma de Barcelona; 2013. [cited 2020 Apr 08]. Available from: http://hdl.handle.net/10803/129097.

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

Council of Science Editors:

Mateo Prous X. Algorithms for the Multiple Variants of Registration in 3D Range Data. [Thesis]. Universitat Autònoma de Barcelona; 2013. Available from: http://hdl.handle.net/10803/129097

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


University of New South Wales

27. Haque, Md Nazmul. Low Complexity Image Registration Techniques.

Degree: Engineering & Information Technology, 2012, University of New South Wales

 This dissertation explores fast and efficient image registration techniques for different innovative applications in the diverse areas of video coding and medical image analysis. One… (more)

Subjects/Keywords: Medical Imaging; Image Registration; Low Complexity

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APA (6th Edition):

Haque, M. N. (2012). Low Complexity Image Registration Techniques. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/52192 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10862/SOURCE01?view=true

Chicago Manual of Style (16th Edition):

Haque, Md Nazmul. “Low Complexity Image Registration Techniques.” 2012. Doctoral Dissertation, University of New South Wales. Accessed April 08, 2020. http://handle.unsw.edu.au/1959.4/52192 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10862/SOURCE01?view=true.

MLA Handbook (7th Edition):

Haque, Md Nazmul. “Low Complexity Image Registration Techniques.” 2012. Web. 08 Apr 2020.

Vancouver:

Haque MN. Low Complexity Image Registration Techniques. [Internet] [Doctoral dissertation]. University of New South Wales; 2012. [cited 2020 Apr 08]. Available from: http://handle.unsw.edu.au/1959.4/52192 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10862/SOURCE01?view=true.

Council of Science Editors:

Haque MN. Low Complexity Image Registration Techniques. [Doctoral Dissertation]. University of New South Wales; 2012. Available from: http://handle.unsw.edu.au/1959.4/52192 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10862/SOURCE01?view=true


Rochester Institute of Technology

28. Tuttle, Kevin. Registration of Diffusion Tensor Images in Log-Euclidean and Euclidean Space.

Degree: MS, School of Mathematical Sciences (COS), 2019, Rochester Institute of Technology

  Diffusion Tensor Imaging is a type of Magnetic Resonance Imaging that allows for the examination of brain connectivity and axonal integrity. Diffusion Tensor Images… (more)

Subjects/Keywords: Diffusion tensor; DW-MRI; Image registration

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APA (6th Edition):

Tuttle, K. (2019). Registration of Diffusion Tensor Images in Log-Euclidean and Euclidean Space. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/10184

Chicago Manual of Style (16th Edition):

Tuttle, Kevin. “Registration of Diffusion Tensor Images in Log-Euclidean and Euclidean Space.” 2019. Masters Thesis, Rochester Institute of Technology. Accessed April 08, 2020. https://scholarworks.rit.edu/theses/10184.

MLA Handbook (7th Edition):

Tuttle, Kevin. “Registration of Diffusion Tensor Images in Log-Euclidean and Euclidean Space.” 2019. Web. 08 Apr 2020.

Vancouver:

Tuttle K. Registration of Diffusion Tensor Images in Log-Euclidean and Euclidean Space. [Internet] [Masters thesis]. Rochester Institute of Technology; 2019. [cited 2020 Apr 08]. Available from: https://scholarworks.rit.edu/theses/10184.

Council of Science Editors:

Tuttle K. Registration of Diffusion Tensor Images in Log-Euclidean and Euclidean Space. [Masters Thesis]. Rochester Institute of Technology; 2019. Available from: https://scholarworks.rit.edu/theses/10184


KTH

29. Joos, Louis. Deformable 3D Brain MRI Registration with Deep Learning.

Degree: Biotechnology and Health (CBH), 2019, KTH

  Traditional deformable registration methods have achieved impressive performances but are computationally time-consuming since they have to optimize an objective function for each new pair… (more)

Subjects/Keywords: Deep Learning; Image Registration; Medical Engineering; Medicinteknik

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APA (6th Edition):

Joos, L. (2019). Deformable 3D Brain MRI Registration with Deep Learning. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-262852

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):

Joos, Louis. “Deformable 3D Brain MRI Registration with Deep Learning.” 2019. Thesis, KTH. Accessed April 08, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-262852.

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

MLA Handbook (7th Edition):

Joos, Louis. “Deformable 3D Brain MRI Registration with Deep Learning.” 2019. Web. 08 Apr 2020.

Vancouver:

Joos L. Deformable 3D Brain MRI Registration with Deep Learning. [Internet] [Thesis]. KTH; 2019. [cited 2020 Apr 08]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-262852.

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

Council of Science Editors:

Joos L. Deformable 3D Brain MRI Registration with Deep Learning. [Thesis]. KTH; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-262852

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


Drexel University

30. Shackleford, James Anthony. High-performance image registration algorithms for multi-core processors.

Degree: 2011, Drexel University

Deformable registration consists of aligning two or more 3D images into a common coordinate frame. Fusing multiple images in this fashion quantifies changes in organ… (more)

Subjects/Keywords: Electrical engineering; Image registration; Computer engineering

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APA (6th Edition):

Shackleford, J. A. (2011). High-performance image registration algorithms for multi-core processors. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/3999

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):

Shackleford, James Anthony. “High-performance image registration algorithms for multi-core processors.” 2011. Thesis, Drexel University. Accessed April 08, 2020. http://hdl.handle.net/1860/3999.

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

MLA Handbook (7th Edition):

Shackleford, James Anthony. “High-performance image registration algorithms for multi-core processors.” 2011. Web. 08 Apr 2020.

Vancouver:

Shackleford JA. High-performance image registration algorithms for multi-core processors. [Internet] [Thesis]. Drexel University; 2011. [cited 2020 Apr 08]. Available from: http://hdl.handle.net/1860/3999.

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

Council of Science Editors:

Shackleford JA. High-performance image registration algorithms for multi-core processors. [Thesis]. Drexel University; 2011. Available from: http://hdl.handle.net/1860/3999

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

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