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You searched for +publisher:"Rutgers University" +contributor:("Madabhushi, Anant"). Showing records 1 – 20 of 20 total matches.

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Rutgers University

1. Mack, Mary Catherine. Skin barrier function assessed quantitatively and noninvasively with multimodal microscopy and spectroscopy methods.

Degree: PhD, Biomedical Engineering, 2015, Rutgers University

The skin barrier is responsible for regulating water loss and preventing penetration of exogenous substances into the body. Traditional measurement techniques rely on invasive sampling… (more)

Subjects/Keywords: Skin – Physiology; Skin – Permeability

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APA (6th Edition):

Mack, M. C. (2015). Skin barrier function assessed quantitatively and noninvasively with multimodal microscopy and spectroscopy methods. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/48607/

Chicago Manual of Style (16th Edition):

Mack, Mary Catherine. “Skin barrier function assessed quantitatively and noninvasively with multimodal microscopy and spectroscopy methods.” 2015. Doctoral Dissertation, Rutgers University. Accessed September 17, 2019. https://rucore.libraries.rutgers.edu/rutgers-lib/48607/.

MLA Handbook (7th Edition):

Mack, Mary Catherine. “Skin barrier function assessed quantitatively and noninvasively with multimodal microscopy and spectroscopy methods.” 2015. Web. 17 Sep 2019.

Vancouver:

Mack MC. Skin barrier function assessed quantitatively and noninvasively with multimodal microscopy and spectroscopy methods. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2019 Sep 17]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/48607/.

Council of Science Editors:

Mack MC. Skin barrier function assessed quantitatively and noninvasively with multimodal microscopy and spectroscopy methods. [Doctoral Dissertation]. Rutgers University; 2015. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/48607/


Rutgers University

2. Toth, Robert James, 1987-. Improved active shape models for segmentation of the prostate on MR imagery.

Degree: MS, Biomedical Engineering, 2010, Rutgers University

 Segmentation aims to determine which locations within an image contain the object of interest. Segmentation of the prostate boundary on clinical images is useful in… (more)

Subjects/Keywords: Prostate – Magnetic resonance imaging; Magnetic resonance microscopy

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APA (6th Edition):

Toth, Robert James, 1. (2010). Improved active shape models for segmentation of the prostate on MR imagery. (Masters Thesis). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056806

Chicago Manual of Style (16th Edition):

Toth, Robert James, 1987-. “Improved active shape models for segmentation of the prostate on MR imagery.” 2010. Masters Thesis, Rutgers University. Accessed September 17, 2019. http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056806.

MLA Handbook (7th Edition):

Toth, Robert James, 1987-. “Improved active shape models for segmentation of the prostate on MR imagery.” 2010. Web. 17 Sep 2019.

Vancouver:

Toth, Robert James 1. Improved active shape models for segmentation of the prostate on MR imagery. [Internet] [Masters thesis]. Rutgers University; 2010. [cited 2019 Sep 17]. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056806.

Council of Science Editors:

Toth, Robert James 1. Improved active shape models for segmentation of the prostate on MR imagery. [Masters Thesis]. Rutgers University; 2010. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056806


Rutgers University

3. Doyle, Scott, 1983-. Computerized detection, segmentation and classification of digital pathology: case study in prostate cancer.

Degree: PhD, Biomedical Engineering, 2011, Rutgers University

Digital pathology refers to the use of scanning hardware and viewing software to digitize samples of stained pathological tissue excised from a patient. Image analysis… (more)

Subjects/Keywords: Prostate – Diseases—Pathogenesis; Prostate – Cancer – Treatment; Prostate – Histology—Technique

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APA (6th Edition):

Doyle, Scott, 1. (2011). Computerized detection, segmentation and classification of digital pathology: case study in prostate cancer. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000061607

Chicago Manual of Style (16th Edition):

Doyle, Scott, 1983-. “Computerized detection, segmentation and classification of digital pathology: case study in prostate cancer.” 2011. Doctoral Dissertation, Rutgers University. Accessed September 17, 2019. http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000061607.

MLA Handbook (7th Edition):

Doyle, Scott, 1983-. “Computerized detection, segmentation and classification of digital pathology: case study in prostate cancer.” 2011. Web. 17 Sep 2019.

Vancouver:

Doyle, Scott 1. Computerized detection, segmentation and classification of digital pathology: case study in prostate cancer. [Internet] [Doctoral dissertation]. Rutgers University; 2011. [cited 2019 Sep 17]. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000061607.

Council of Science Editors:

Doyle, Scott 1. Computerized detection, segmentation and classification of digital pathology: case study in prostate cancer. [Doctoral Dissertation]. Rutgers University; 2011. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000061607


Rutgers University

4. Kim, Joseph Jung-Woong, 1983-. Single cell high content textural image analysis of dynamic epigenetic signatures as a response to defined microenvironmental parameters.

Degree: PhD, Biomedical Engineering, 2015, Rutgers University

Currently, quantifiable investigations of the epigenome require cell lysis and are population based, prohibiting direct investigations of intact intranuclear structural organization and introducing noise into… (more)

Subjects/Keywords: Epigenetics; Image processing – Data processing; Electron microscopy

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APA (6th Edition):

Kim, Joseph Jung-Woong, 1. (2015). Single cell high content textural image analysis of dynamic epigenetic signatures as a response to defined microenvironmental parameters. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/46370/

Chicago Manual of Style (16th Edition):

Kim, Joseph Jung-Woong, 1983-. “Single cell high content textural image analysis of dynamic epigenetic signatures as a response to defined microenvironmental parameters.” 2015. Doctoral Dissertation, Rutgers University. Accessed September 17, 2019. https://rucore.libraries.rutgers.edu/rutgers-lib/46370/.

MLA Handbook (7th Edition):

Kim, Joseph Jung-Woong, 1983-. “Single cell high content textural image analysis of dynamic epigenetic signatures as a response to defined microenvironmental parameters.” 2015. Web. 17 Sep 2019.

Vancouver:

Kim, Joseph Jung-Woong 1. Single cell high content textural image analysis of dynamic epigenetic signatures as a response to defined microenvironmental parameters. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2019 Sep 17]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/46370/.

Council of Science Editors:

Kim, Joseph Jung-Woong 1. Single cell high content textural image analysis of dynamic epigenetic signatures as a response to defined microenvironmental parameters. [Doctoral Dissertation]. Rutgers University; 2015. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/46370/


Rutgers University

5. Chappelow, Jonathan, 1980-. Multimodal image registration using multivariate information theoretic similarity measures: applications to prostate cancer diagnosis and targeted treatment.

Degree: PhD, Biomedical Engineering, 2011, Rutgers University

Multimodal and multiprotocol image registration refers to the process of alignment of two or more images obtained from different imaging modalities (e.g. digitized histology and… (more)

Subjects/Keywords: Imaging systems in medicine; Prostate—Cancer – Imaging; Prostate—Cancer – Treatment

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APA (6th Edition):

Chappelow, Jonathan, 1. (2011). Multimodal image registration using multivariate information theoretic similarity measures: applications to prostate cancer diagnosis and targeted treatment. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000061604

Chicago Manual of Style (16th Edition):

Chappelow, Jonathan, 1980-. “Multimodal image registration using multivariate information theoretic similarity measures: applications to prostate cancer diagnosis and targeted treatment.” 2011. Doctoral Dissertation, Rutgers University. Accessed September 17, 2019. http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000061604.

MLA Handbook (7th Edition):

Chappelow, Jonathan, 1980-. “Multimodal image registration using multivariate information theoretic similarity measures: applications to prostate cancer diagnosis and targeted treatment.” 2011. Web. 17 Sep 2019.

Vancouver:

Chappelow, Jonathan 1. Multimodal image registration using multivariate information theoretic similarity measures: applications to prostate cancer diagnosis and targeted treatment. [Internet] [Doctoral dissertation]. Rutgers University; 2011. [cited 2019 Sep 17]. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000061604.

Council of Science Editors:

Chappelow, Jonathan 1. Multimodal image registration using multivariate information theoretic similarity measures: applications to prostate cancer diagnosis and targeted treatment. [Doctoral Dissertation]. Rutgers University; 2011. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000061604


Rutgers University

6. Basavanhally, Ajay Nagesh, 1985-. Quantitative histomorphometry of digital pathology as a companion diagnostic: predicting outcome for ER+ breast cancers.

Degree: PhD, Biomedical Engineering, 2014, Rutgers University

This work involves the creation of an image-based companion diagnostic framework that employs quantitative features extracted from whole-slide, H & E stained digital pathology (DP)… (more)

Subjects/Keywords: Quantitative research; Breast – Cancer – Research; Breast – Cancer – Treatment; Estrogen – Receptors

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APA (6th Edition):

Basavanhally, Ajay Nagesh, 1. (2014). Quantitative histomorphometry of digital pathology as a companion diagnostic: predicting outcome for ER+ breast cancers. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/42363/

Chicago Manual of Style (16th Edition):

Basavanhally, Ajay Nagesh, 1985-. “Quantitative histomorphometry of digital pathology as a companion diagnostic: predicting outcome for ER+ breast cancers.” 2014. Doctoral Dissertation, Rutgers University. Accessed September 17, 2019. https://rucore.libraries.rutgers.edu/rutgers-lib/42363/.

MLA Handbook (7th Edition):

Basavanhally, Ajay Nagesh, 1985-. “Quantitative histomorphometry of digital pathology as a companion diagnostic: predicting outcome for ER+ breast cancers.” 2014. Web. 17 Sep 2019.

Vancouver:

Basavanhally, Ajay Nagesh 1. Quantitative histomorphometry of digital pathology as a companion diagnostic: predicting outcome for ER+ breast cancers. [Internet] [Doctoral dissertation]. Rutgers University; 2014. [cited 2019 Sep 17]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/42363/.

Council of Science Editors:

Basavanhally, Ajay Nagesh 1. Quantitative histomorphometry of digital pathology as a companion diagnostic: predicting outcome for ER+ breast cancers. [Doctoral Dissertation]. Rutgers University; 2014. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/42363/

7. Basavanhally, Ajay, 1985-. Automated image-based detection and grading of lymphocytic infiltration in breast cancer histopathology:.

Degree: MS, Biomedical Engineering, 2010, Rutgers University

 The identification of phenotypic changes in breast cancer (BC) histopathology is of significant clinical importance in predicting disease outcome and prescribing appropriate therapy. One such… (more)

Subjects/Keywords: Breast – Cancer – Diagnosis; Diagnostic imaging; Lymphocytes

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APA (6th Edition):

Basavanhally, Ajay, 1. (2010). Automated image-based detection and grading of lymphocytic infiltration in breast cancer histopathology:. (Masters Thesis). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000052094

Chicago Manual of Style (16th Edition):

Basavanhally, Ajay, 1985-. “Automated image-based detection and grading of lymphocytic infiltration in breast cancer histopathology:.” 2010. Masters Thesis, Rutgers University. Accessed September 17, 2019. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000052094.

MLA Handbook (7th Edition):

Basavanhally, Ajay, 1985-. “Automated image-based detection and grading of lymphocytic infiltration in breast cancer histopathology:.” 2010. Web. 17 Sep 2019.

Vancouver:

Basavanhally, Ajay 1. Automated image-based detection and grading of lymphocytic infiltration in breast cancer histopathology:. [Internet] [Masters thesis]. Rutgers University; 2010. [cited 2019 Sep 17]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000052094.

Council of Science Editors:

Basavanhally, Ajay 1. Automated image-based detection and grading of lymphocytic infiltration in breast cancer histopathology:. [Masters Thesis]. Rutgers University; 2010. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000052094

8. Sridhar, Akshay, 1987-. Content-based image retrieval of digitized histopathology via boosted spectral embedding (BoSE).

Degree: MS, Biomedical Engineering, 2012, Rutgers University

 Content-based image retrieval (CBIR) systems allow for retrieval of images from a database that are similar in visual content to a query image. This is… (more)

Subjects/Keywords: Content-based image retrieval

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APA (6th Edition):

Sridhar, Akshay, 1. (2012). Content-based image retrieval of digitized histopathology via boosted spectral embedding (BoSE). (Masters Thesis). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000064175

Chicago Manual of Style (16th Edition):

Sridhar, Akshay, 1987-. “Content-based image retrieval of digitized histopathology via boosted spectral embedding (BoSE).” 2012. Masters Thesis, Rutgers University. Accessed September 17, 2019. http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000064175.

MLA Handbook (7th Edition):

Sridhar, Akshay, 1987-. “Content-based image retrieval of digitized histopathology via boosted spectral embedding (BoSE).” 2012. Web. 17 Sep 2019.

Vancouver:

Sridhar, Akshay 1. Content-based image retrieval of digitized histopathology via boosted spectral embedding (BoSE). [Internet] [Masters thesis]. Rutgers University; 2012. [cited 2019 Sep 17]. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000064175.

Council of Science Editors:

Sridhar, Akshay 1. Content-based image retrieval of digitized histopathology via boosted spectral embedding (BoSE). [Masters Thesis]. Rutgers University; 2012. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000064175

9. Agner, Shannon Christine, 1980-. A computerized image analysis framework for dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) with applications to breast cancer.

Degree: PhD, Biomedical Engineering, 2011, Rutgers University

Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) provides a wealth of information about the anatomy of the breast, particularly in the setting of breast cancer… (more)

Subjects/Keywords: Breast – Magnetic resonance imaging; Breast – Cancer – Magnetic resonance imaging

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APA (6th Edition):

Agner, Shannon Christine, 1. (2011). A computerized image analysis framework for dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) with applications to breast cancer. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000060977

Chicago Manual of Style (16th Edition):

Agner, Shannon Christine, 1980-. “A computerized image analysis framework for dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) with applications to breast cancer.” 2011. Doctoral Dissertation, Rutgers University. Accessed September 17, 2019. http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000060977.

MLA Handbook (7th Edition):

Agner, Shannon Christine, 1980-. “A computerized image analysis framework for dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) with applications to breast cancer.” 2011. Web. 17 Sep 2019.

Vancouver:

Agner, Shannon Christine 1. A computerized image analysis framework for dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) with applications to breast cancer. [Internet] [Doctoral dissertation]. Rutgers University; 2011. [cited 2019 Sep 17]. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000060977.

Council of Science Editors:

Agner, Shannon Christine 1. A computerized image analysis framework for dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) with applications to breast cancer. [Doctoral Dissertation]. Rutgers University; 2011. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000060977

10. Tiwari, Pallavi, 1984-. Quantitative integration of imaging and non-imaging data: application to integrating multi-parametric MRI for prostate cancer diagnosis, grading and treatment evaluation.

Degree: Biomedical Engineering, 2012, Rutgers University

Subjects/Keywords: Data integration (Computer science); Prostate – Diseases – Diagnosis; Prostate – Cancer – Magnetic resonance imaging

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APA (6th Edition):

Tiwari, Pallavi, 1. (2012). Quantitative integration of imaging and non-imaging data: application to integrating multi-parametric MRI for prostate cancer diagnosis, grading and treatment evaluation. (Thesis). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000065278

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):

Tiwari, Pallavi, 1984-. “Quantitative integration of imaging and non-imaging data: application to integrating multi-parametric MRI for prostate cancer diagnosis, grading and treatment evaluation.” 2012. Thesis, Rutgers University. Accessed September 17, 2019. http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000065278.

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

MLA Handbook (7th Edition):

Tiwari, Pallavi, 1984-. “Quantitative integration of imaging and non-imaging data: application to integrating multi-parametric MRI for prostate cancer diagnosis, grading and treatment evaluation.” 2012. Web. 17 Sep 2019.

Vancouver:

Tiwari, Pallavi 1. Quantitative integration of imaging and non-imaging data: application to integrating multi-parametric MRI for prostate cancer diagnosis, grading and treatment evaluation. [Internet] [Thesis]. Rutgers University; 2012. [cited 2019 Sep 17]. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000065278.

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

Council of Science Editors:

Tiwari, Pallavi 1. Quantitative integration of imaging and non-imaging data: application to integrating multi-parametric MRI for prostate cancer diagnosis, grading and treatment evaluation. [Thesis]. Rutgers University; 2012. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000065278

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

11. Viswanath, Satish Easwar, 1983-. A quantitative data representation framework for structural and functional MR Imaging with application to prostate cancer detection.

Degree: Biomedical Engineering, 2012, Rutgers University

Subjects/Keywords: Cancer – Magnetic resonance imaging; Prostate – Magnetic resonance imaging; Prostate – Cancer – Diagnosis

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

APA (6th Edition):

Viswanath, Satish Easwar, 1. (2012). A quantitative data representation framework for structural and functional MR Imaging with application to prostate cancer detection. (Thesis). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000065286

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):

Viswanath, Satish Easwar, 1983-. “A quantitative data representation framework for structural and functional MR Imaging with application to prostate cancer detection.” 2012. Thesis, Rutgers University. Accessed September 17, 2019. http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000065286.

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

MLA Handbook (7th Edition):

Viswanath, Satish Easwar, 1983-. “A quantitative data representation framework for structural and functional MR Imaging with application to prostate cancer detection.” 2012. Web. 17 Sep 2019.

Vancouver:

Viswanath, Satish Easwar 1. A quantitative data representation framework for structural and functional MR Imaging with application to prostate cancer detection. [Internet] [Thesis]. Rutgers University; 2012. [cited 2019 Sep 17]. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000065286.

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

Council of Science Editors:

Viswanath, Satish Easwar 1. A quantitative data representation framework for structural and functional MR Imaging with application to prostate cancer detection. [Thesis]. Rutgers University; 2012. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000065286

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


Rutgers University

12. Chowdhury, A.K. Najeebullah, 1987-. Concurrent segmentation of the prostate on MRI and CT via linked statistical shape models for radiotherapy planning.

Degree: Biomedical Engineering, 2011, Rutgers University

Subjects/Keywords: Prostate – Cancer—Radiotherapy; Prostate—Magnetic resonance imaging; Prostate—Cross-sectional imaging

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APA (6th Edition):

Chowdhury, A.K. Najeebullah, 1. (2011). Concurrent segmentation of the prostate on MRI and CT via linked statistical shape models for radiotherapy planning. (Thesis). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000063357

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):

Chowdhury, A.K. Najeebullah, 1987-. “Concurrent segmentation of the prostate on MRI and CT via linked statistical shape models for radiotherapy planning.” 2011. Thesis, Rutgers University. Accessed September 17, 2019. http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000063357.

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

MLA Handbook (7th Edition):

Chowdhury, A.K. Najeebullah, 1987-. “Concurrent segmentation of the prostate on MRI and CT via linked statistical shape models for radiotherapy planning.” 2011. Web. 17 Sep 2019.

Vancouver:

Chowdhury, A.K. Najeebullah 1. Concurrent segmentation of the prostate on MRI and CT via linked statistical shape models for radiotherapy planning. [Internet] [Thesis]. Rutgers University; 2011. [cited 2019 Sep 17]. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000063357.

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

Council of Science Editors:

Chowdhury, A.K. Najeebullah 1. Concurrent segmentation of the prostate on MRI and CT via linked statistical shape models for radiotherapy planning. [Thesis]. Rutgers University; 2011. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000063357

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


Rutgers University

13. Sparks, Rachel, 1985-. Linking and characterizing biologic scales of imaging data: applications to prostate cancer diagnosis.

Degree: Biomedical Engineering, 2014, Rutgers University

Subjects/Keywords: Prostate – Cancer – Early detection; Prostate – Magnetic resonance imaging; Cancer – Ultrasonic imaging

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APA (6th Edition):

Sparks, Rachel, 1. (2014). Linking and characterizing biologic scales of imaging data: applications to prostate cancer diagnosis. (Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/42452/

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):

Sparks, Rachel, 1985-. “Linking and characterizing biologic scales of imaging data: applications to prostate cancer diagnosis.” 2014. Thesis, Rutgers University. Accessed September 17, 2019. https://rucore.libraries.rutgers.edu/rutgers-lib/42452/.

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

MLA Handbook (7th Edition):

Sparks, Rachel, 1985-. “Linking and characterizing biologic scales of imaging data: applications to prostate cancer diagnosis.” 2014. Web. 17 Sep 2019.

Vancouver:

Sparks, Rachel 1. Linking and characterizing biologic scales of imaging data: applications to prostate cancer diagnosis. [Internet] [Thesis]. Rutgers University; 2014. [cited 2019 Sep 17]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/42452/.

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

Council of Science Editors:

Sparks, Rachel 1. Linking and characterizing biologic scales of imaging data: applications to prostate cancer diagnosis. [Thesis]. Rutgers University; 2014. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/42452/

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


Rutgers University

14. Maikos, Jason. In vivo tissue-level thresholds for spinal cord injury.

Degree: PhD, Biomedical Engineering, 2007, Rutgers University

Primary damage to the blood-spinal cord barrier (BSCB) is a nearly universal consequence of spinal cord injury that contributes significantly to the overall pathology. The… (more)

Subjects/Keywords: Spinal cord – Wounds and injuries; Spinal cord – Mechanical properties

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APA (6th Edition):

Maikos, J. (2007). In vivo tissue-level thresholds for spinal cord injury. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.16734

Chicago Manual of Style (16th Edition):

Maikos, Jason. “In vivo tissue-level thresholds for spinal cord injury.” 2007. Doctoral Dissertation, Rutgers University. Accessed September 17, 2019. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.16734.

MLA Handbook (7th Edition):

Maikos, Jason. “In vivo tissue-level thresholds for spinal cord injury.” 2007. Web. 17 Sep 2019.

Vancouver:

Maikos J. In vivo tissue-level thresholds for spinal cord injury. [Internet] [Doctoral dissertation]. Rutgers University; 2007. [cited 2019 Sep 17]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.16734.

Council of Science Editors:

Maikos J. In vivo tissue-level thresholds for spinal cord injury. [Doctoral Dissertation]. Rutgers University; 2007. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.16734


Rutgers University

15. Tiwari, Pallavi. A hierarchical spectral clustering and non-linear dimensionality reduction scheme for detection of prostate cancer from magnetic resonance spectroscopy:.

Degree: MS, Biomedical Engineering, 2008, Rutgers University

 Magnetic Resonance Spectroscopy (MRS) is a unique non-invasive method which has recently been shown to have great potential in screening of prostate cancer (CaP). MRS… (more)

Subjects/Keywords: Prostate – Cancer; Magnetic resonance imaging

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APA (6th Edition):

Tiwari, P. (2008). A hierarchical spectral clustering and non-linear dimensionality reduction scheme for detection of prostate cancer from magnetic resonance spectroscopy:. (Masters Thesis). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000050467a

Chicago Manual of Style (16th Edition):

Tiwari, Pallavi. “A hierarchical spectral clustering and non-linear dimensionality reduction scheme for detection of prostate cancer from magnetic resonance spectroscopy:.” 2008. Masters Thesis, Rutgers University. Accessed September 17, 2019. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000050467a.

MLA Handbook (7th Edition):

Tiwari, Pallavi. “A hierarchical spectral clustering and non-linear dimensionality reduction scheme for detection of prostate cancer from magnetic resonance spectroscopy:.” 2008. Web. 17 Sep 2019.

Vancouver:

Tiwari P. A hierarchical spectral clustering and non-linear dimensionality reduction scheme for detection of prostate cancer from magnetic resonance spectroscopy:. [Internet] [Masters thesis]. Rutgers University; 2008. [cited 2019 Sep 17]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000050467a.

Council of Science Editors:

Tiwari P. A hierarchical spectral clustering and non-linear dimensionality reduction scheme for detection of prostate cancer from magnetic resonance spectroscopy:. [Masters Thesis]. Rutgers University; 2008. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000050467a


Rutgers University

16. Zhou, Jinghao. Computer aided diagnosis of lung ground glass opacity nodules and large lung cancers in CT.

Degree: PhD, Biomedical Engineering, 2008, Rutgers University

 Diagnosis of lung nodules and cancers is a critical and urgent problem in clinical diagnosis. This thesis is to design and build a computer aided… (more)

Subjects/Keywords: Lungs – Cancer – Diagnosis

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

APA (6th Edition):

Zhou, J. (2008). Computer aided diagnosis of lung ground glass opacity nodules and large lung cancers in CT. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000050484

Chicago Manual of Style (16th Edition):

Zhou, Jinghao. “Computer aided diagnosis of lung ground glass opacity nodules and large lung cancers in CT.” 2008. Doctoral Dissertation, Rutgers University. Accessed September 17, 2019. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000050484.

MLA Handbook (7th Edition):

Zhou, Jinghao. “Computer aided diagnosis of lung ground glass opacity nodules and large lung cancers in CT.” 2008. Web. 17 Sep 2019.

Vancouver:

Zhou J. Computer aided diagnosis of lung ground glass opacity nodules and large lung cancers in CT. [Internet] [Doctoral dissertation]. Rutgers University; 2008. [cited 2019 Sep 17]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000050484.

Council of Science Editors:

Zhou J. Computer aided diagnosis of lung ground glass opacity nodules and large lung cancers in CT. [Doctoral Dissertation]. Rutgers University; 2008. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000050484


Rutgers University

17. Toth, Robert, 1987-. Evaluating treatment related changes for prostate cancer via image analysis tools and magnetic resonance imaging.

Degree: Biomedical Engineering, 2014, Rutgers University

Subjects/Keywords: Prostate – Cancer – Magnetic resonance imaging; Prostate – Cancer – Treatment

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

APA (6th Edition):

Toth, Robert, 1. (2014). Evaluating treatment related changes for prostate cancer via image analysis tools and magnetic resonance imaging. (Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/42464/

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):

Toth, Robert, 1987-. “Evaluating treatment related changes for prostate cancer via image analysis tools and magnetic resonance imaging.” 2014. Thesis, Rutgers University. Accessed September 17, 2019. https://rucore.libraries.rutgers.edu/rutgers-lib/42464/.

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

MLA Handbook (7th Edition):

Toth, Robert, 1987-. “Evaluating treatment related changes for prostate cancer via image analysis tools and magnetic resonance imaging.” 2014. Web. 17 Sep 2019.

Vancouver:

Toth, Robert 1. Evaluating treatment related changes for prostate cancer via image analysis tools and magnetic resonance imaging. [Internet] [Thesis]. Rutgers University; 2014. [cited 2019 Sep 17]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/42464/.

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

Council of Science Editors:

Toth, Robert 1. Evaluating treatment related changes for prostate cancer via image analysis tools and magnetic resonance imaging. [Thesis]. Rutgers University; 2014. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/42464/

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


Rutgers University

18. Qian, Zhen. Automatic detection, segmentation and motion characterization of the heart from tagged MRI.

Degree: PhD, Biomedical Engineering, 2008, Rutgers University

Cardiac disease is the leading cause of death in the developed countries. To reduce the mortality, early diagnosis is critical. Tagged MRI is a non-invasive… (more)

Subjects/Keywords: Heart – Magnetic resonance imaging; Heart – Abnormalities – Diagnosis

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

APA (6th Edition):

Qian, Z. (2008). Automatic detection, segmentation and motion characterization of the heart from tagged MRI. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17377

Chicago Manual of Style (16th Edition):

Qian, Zhen. “Automatic detection, segmentation and motion characterization of the heart from tagged MRI.” 2008. Doctoral Dissertation, Rutgers University. Accessed September 17, 2019. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17377.

MLA Handbook (7th Edition):

Qian, Zhen. “Automatic detection, segmentation and motion characterization of the heart from tagged MRI.” 2008. Web. 17 Sep 2019.

Vancouver:

Qian Z. Automatic detection, segmentation and motion characterization of the heart from tagged MRI. [Internet] [Doctoral dissertation]. Rutgers University; 2008. [cited 2019 Sep 17]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17377.

Council of Science Editors:

Qian Z. Automatic detection, segmentation and motion characterization of the heart from tagged MRI. [Doctoral Dissertation]. Rutgers University; 2008. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17377


Rutgers University

19. Jain, Anshul. Interactions between auditory and visual motion mechanisms and the role of attention: psychophysics and quantitative models.

Degree: PhD, Biomedical Engineering, 2008, Rutgers University

The human brain continuously receives sensory input from the dynamic physical world via various sensory modalities. In many cases, a single physical event generates simultaneous… (more)

Subjects/Keywords: Cognitive neuroscience; Auditory perception; Visual perception; Attention

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

APA (6th Edition):

Jain, A. (2008). Interactions between auditory and visual motion mechanisms and the role of attention: psychophysics and quantitative models. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17503

Chicago Manual of Style (16th Edition):

Jain, Anshul. “Interactions between auditory and visual motion mechanisms and the role of attention: psychophysics and quantitative models.” 2008. Doctoral Dissertation, Rutgers University. Accessed September 17, 2019. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17503.

MLA Handbook (7th Edition):

Jain, Anshul. “Interactions between auditory and visual motion mechanisms and the role of attention: psychophysics and quantitative models.” 2008. Web. 17 Sep 2019.

Vancouver:

Jain A. Interactions between auditory and visual motion mechanisms and the role of attention: psychophysics and quantitative models. [Internet] [Doctoral dissertation]. Rutgers University; 2008. [cited 2019 Sep 17]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17503.

Council of Science Editors:

Jain A. Interactions between auditory and visual motion mechanisms and the role of attention: psychophysics and quantitative models. [Doctoral Dissertation]. Rutgers University; 2008. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17503


Rutgers University

20. Lee, George C. An integrated companion diagnostics assay for predicting biochemical recurrence following radical prostatectomy.

Degree: Biomedical Engineering, 2014, Rutgers University

Subjects/Keywords: Prostatectomy; Prostate-specific antigen; Data integration (Computer science); Prostate – Cancer – Treatment; Biochemical markers

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

APA (6th Edition):

Lee, G. C. (2014). An integrated companion diagnostics assay for predicting biochemical recurrence following radical prostatectomy. (Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/42413/

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):

Lee, George C. “An integrated companion diagnostics assay for predicting biochemical recurrence following radical prostatectomy.” 2014. Thesis, Rutgers University. Accessed September 17, 2019. https://rucore.libraries.rutgers.edu/rutgers-lib/42413/.

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

MLA Handbook (7th Edition):

Lee, George C. “An integrated companion diagnostics assay for predicting biochemical recurrence following radical prostatectomy.” 2014. Web. 17 Sep 2019.

Vancouver:

Lee GC. An integrated companion diagnostics assay for predicting biochemical recurrence following radical prostatectomy. [Internet] [Thesis]. Rutgers University; 2014. [cited 2019 Sep 17]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/42413/.

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

Council of Science Editors:

Lee GC. An integrated companion diagnostics assay for predicting biochemical recurrence following radical prostatectomy. [Thesis]. Rutgers University; 2014. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/42413/

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

.