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You searched for +publisher:"Cornell University" +contributor:("Doerschuk, Peter"). Showing records 1 – 30 of 32 total matches.

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Cornell University

1. D'Ascenzo, Mark. Alzheimer’S Disease Biomarker Discovery And Data Visualization Using Proteomics And Bioinformatics Approaches.

Degree: M.S., Biomedical Engineering, Biomedical Engineering, 2013, Cornell University

 Neurological disorders such as Alzheimer's disease and Parkinson's disease possess complex pathologies that are only partially understood. As more comprehensive and sophisticated studies are implemented… (more)

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APA (6th Edition):

D'Ascenzo, M. (2013). Alzheimer’S Disease Biomarker Discovery And Data Visualization Using Proteomics And Bioinformatics Approaches. (Masters Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/34045

Chicago Manual of Style (16th Edition):

D'Ascenzo, Mark. “Alzheimer’S Disease Biomarker Discovery And Data Visualization Using Proteomics And Bioinformatics Approaches.” 2013. Masters Thesis, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/34045.

MLA Handbook (7th Edition):

D'Ascenzo, Mark. “Alzheimer’S Disease Biomarker Discovery And Data Visualization Using Proteomics And Bioinformatics Approaches.” 2013. Web. 16 Apr 2021.

Vancouver:

D'Ascenzo M. Alzheimer’S Disease Biomarker Discovery And Data Visualization Using Proteomics And Bioinformatics Approaches. [Internet] [Masters thesis]. Cornell University; 2013. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/34045.

Council of Science Editors:

D'Ascenzo M. Alzheimer’S Disease Biomarker Discovery And Data Visualization Using Proteomics And Bioinformatics Approaches. [Masters Thesis]. Cornell University; 2013. Available from: http://hdl.handle.net/1813/34045


Cornell University

2. Gurram, Adithya. A Minimally Invasive Ultrasound Therapy Based On Time- Reversal Acoustics For The Treatment Of Deep Vein Thrombosis.

Degree: M.S., Biomedical Engineering, Biomedical Engineering, 2013, Cornell University

 Deep Vein Thrombosis is a clotting disorder that usually leads to the formation of clots in veins deep within the legs. Deep Vein Thrombosis generally… (more)

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APA (6th Edition):

Gurram, A. (2013). A Minimally Invasive Ultrasound Therapy Based On Time- Reversal Acoustics For The Treatment Of Deep Vein Thrombosis. (Masters Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/33813

Chicago Manual of Style (16th Edition):

Gurram, Adithya. “A Minimally Invasive Ultrasound Therapy Based On Time- Reversal Acoustics For The Treatment Of Deep Vein Thrombosis.” 2013. Masters Thesis, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/33813.

MLA Handbook (7th Edition):

Gurram, Adithya. “A Minimally Invasive Ultrasound Therapy Based On Time- Reversal Acoustics For The Treatment Of Deep Vein Thrombosis.” 2013. Web. 16 Apr 2021.

Vancouver:

Gurram A. A Minimally Invasive Ultrasound Therapy Based On Time- Reversal Acoustics For The Treatment Of Deep Vein Thrombosis. [Internet] [Masters thesis]. Cornell University; 2013. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/33813.

Council of Science Editors:

Gurram A. A Minimally Invasive Ultrasound Therapy Based On Time- Reversal Acoustics For The Treatment Of Deep Vein Thrombosis. [Masters Thesis]. Cornell University; 2013. Available from: http://hdl.handle.net/1813/33813


Cornell University

3. Jirapatnakul, Artit. Computer Methods For Pulmonary Nodule Characterization From Ct Images.

Degree: M.S., Electrical Engineering, Electrical Engineering, 2011, Cornell University

 Computed tomography (CT) scans provide radiologists a non-invasive method of imaging internal structures of the body. Although CT scans have enabled the earlier detection of… (more)

Subjects/Keywords: pulmonary nodule; characterization; lung cancer

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APA (6th Edition):

Jirapatnakul, A. (2011). Computer Methods For Pulmonary Nodule Characterization From Ct Images. (Masters Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/29192

Chicago Manual of Style (16th Edition):

Jirapatnakul, Artit. “Computer Methods For Pulmonary Nodule Characterization From Ct Images.” 2011. Masters Thesis, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/29192.

MLA Handbook (7th Edition):

Jirapatnakul, Artit. “Computer Methods For Pulmonary Nodule Characterization From Ct Images.” 2011. Web. 16 Apr 2021.

Vancouver:

Jirapatnakul A. Computer Methods For Pulmonary Nodule Characterization From Ct Images. [Internet] [Masters thesis]. Cornell University; 2011. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/29192.

Council of Science Editors:

Jirapatnakul A. Computer Methods For Pulmonary Nodule Characterization From Ct Images. [Masters Thesis]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/29192


Cornell University

4. Xu, Yang. Sub-Linear Algorithms For Non-Homogeneous Large Alphabet Source Classification.

Degree: M.S., Electrical Engineering, Electrical Engineering, 2015, Cornell University

 Suppose we have several unknown distributions the same discrete countable sample space, namely, {1, 2, 3, 4, ..., n}. and given sequences of samples generated… (more)

Subjects/Keywords: Classification; Large Alphabet; Learning Theories

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APA (6th Edition):

Xu, Y. (2015). Sub-Linear Algorithms For Non-Homogeneous Large Alphabet Source Classification. (Masters Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/41179

Chicago Manual of Style (16th Edition):

Xu, Yang. “Sub-Linear Algorithms For Non-Homogeneous Large Alphabet Source Classification.” 2015. Masters Thesis, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/41179.

MLA Handbook (7th Edition):

Xu, Yang. “Sub-Linear Algorithms For Non-Homogeneous Large Alphabet Source Classification.” 2015. Web. 16 Apr 2021.

Vancouver:

Xu Y. Sub-Linear Algorithms For Non-Homogeneous Large Alphabet Source Classification. [Internet] [Masters thesis]. Cornell University; 2015. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/41179.

Council of Science Editors:

Xu Y. Sub-Linear Algorithms For Non-Homogeneous Large Alphabet Source Classification. [Masters Thesis]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/41179


Cornell University

5. Jirapatnakul, Artit. Automated Methods For Pulmonary Nodule Growth Rate Measurement: Early Computer-Aided Diagnosis Of Lung Cancer From Computed Tomography Images.

Degree: PhD, Electrical Engineering, 2013, Cornell University

 Pulmonary nodules are visible as dense, opaque areas in the lung on computed tomography (CT) images and may be early indications of lung cancer. Pulmonary… (more)

Subjects/Keywords: pulmonary nodule; growth rate; computer-aided diagnosis

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APA (6th Edition):

Jirapatnakul, A. (2013). Automated Methods For Pulmonary Nodule Growth Rate Measurement: Early Computer-Aided Diagnosis Of Lung Cancer From Computed Tomography Images. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/33804

Chicago Manual of Style (16th Edition):

Jirapatnakul, Artit. “Automated Methods For Pulmonary Nodule Growth Rate Measurement: Early Computer-Aided Diagnosis Of Lung Cancer From Computed Tomography Images.” 2013. Doctoral Dissertation, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/33804.

MLA Handbook (7th Edition):

Jirapatnakul, Artit. “Automated Methods For Pulmonary Nodule Growth Rate Measurement: Early Computer-Aided Diagnosis Of Lung Cancer From Computed Tomography Images.” 2013. Web. 16 Apr 2021.

Vancouver:

Jirapatnakul A. Automated Methods For Pulmonary Nodule Growth Rate Measurement: Early Computer-Aided Diagnosis Of Lung Cancer From Computed Tomography Images. [Internet] [Doctoral dissertation]. Cornell University; 2013. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/33804.

Council of Science Editors:

Jirapatnakul A. Automated Methods For Pulmonary Nodule Growth Rate Measurement: Early Computer-Aided Diagnosis Of Lung Cancer From Computed Tomography Images. [Doctoral Dissertation]. Cornell University; 2013. Available from: http://hdl.handle.net/1813/33804


Cornell University

6. Xu, Bo. Interrogating Tissue Perfusion And Oxygenation Using Dynamic Magnetic Resonance Imaging And Quantitative Susceptibility Mapping.

Degree: PhD, Biomedical Engineering, 2014, Cornell University

 Magnetic resonance imaging (MRI) is a widely used non-invasive imaging technique, with rich contrast for interrogation of tissue physiology and pathology. MRI can be used… (more)

Subjects/Keywords: Dynamic MRI; Perfusion MRI; QSM

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APA (6th Edition):

Xu, B. (2014). Interrogating Tissue Perfusion And Oxygenation Using Dynamic Magnetic Resonance Imaging And Quantitative Susceptibility Mapping. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/36055

Chicago Manual of Style (16th Edition):

Xu, Bo. “Interrogating Tissue Perfusion And Oxygenation Using Dynamic Magnetic Resonance Imaging And Quantitative Susceptibility Mapping.” 2014. Doctoral Dissertation, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/36055.

MLA Handbook (7th Edition):

Xu, Bo. “Interrogating Tissue Perfusion And Oxygenation Using Dynamic Magnetic Resonance Imaging And Quantitative Susceptibility Mapping.” 2014. Web. 16 Apr 2021.

Vancouver:

Xu B. Interrogating Tissue Perfusion And Oxygenation Using Dynamic Magnetic Resonance Imaging And Quantitative Susceptibility Mapping. [Internet] [Doctoral dissertation]. Cornell University; 2014. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/36055.

Council of Science Editors:

Xu B. Interrogating Tissue Perfusion And Oxygenation Using Dynamic Magnetic Resonance Imaging And Quantitative Susceptibility Mapping. [Doctoral Dissertation]. Cornell University; 2014. Available from: http://hdl.handle.net/1813/36055


Cornell University

7. Dimov, Alexey. APPLICATION-SPECIFIC OPTIMIZATION OF QUANTITATIVE SUSCEPTIBILITY MAPPING FOR CLINICAL IMAGING.

Degree: PhD, Biomedical Engineering, 2017, Cornell University

 Magnetic resonance imaging (MRI) is a noninvasive clinical imaging modality with very rich contrasts based on the physical properties of the imaged tissues. MRI can… (more)

Subjects/Keywords: Biomedical engineering; MRI; QSM; signal modelling; water/fat separation

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APA (6th Edition):

Dimov, A. (2017). APPLICATION-SPECIFIC OPTIMIZATION OF QUANTITATIVE SUSCEPTIBILITY MAPPING FOR CLINICAL IMAGING. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/59009

Chicago Manual of Style (16th Edition):

Dimov, Alexey. “APPLICATION-SPECIFIC OPTIMIZATION OF QUANTITATIVE SUSCEPTIBILITY MAPPING FOR CLINICAL IMAGING.” 2017. Doctoral Dissertation, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/59009.

MLA Handbook (7th Edition):

Dimov, Alexey. “APPLICATION-SPECIFIC OPTIMIZATION OF QUANTITATIVE SUSCEPTIBILITY MAPPING FOR CLINICAL IMAGING.” 2017. Web. 16 Apr 2021.

Vancouver:

Dimov A. APPLICATION-SPECIFIC OPTIMIZATION OF QUANTITATIVE SUSCEPTIBILITY MAPPING FOR CLINICAL IMAGING. [Internet] [Doctoral dissertation]. Cornell University; 2017. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/59009.

Council of Science Editors:

Dimov A. APPLICATION-SPECIFIC OPTIMIZATION OF QUANTITATIVE SUSCEPTIBILITY MAPPING FOR CLINICAL IMAGING. [Doctoral Dissertation]. Cornell University; 2017. Available from: http://hdl.handle.net/1813/59009


Cornell University

8. Bahadir, Cagla Deniz. Learning-Based Optimization of the Under-Sampling Pattern in MRI.

Degree: M.S., Biomedical Engineering, Biomedical Engineering, 2019, Cornell University

 The long scan times of Magnetic Resonance Imaging (MRI) create a bottleneck in patient care and acquisitions can be accelerated by under-sampling in k-space (i.e.,… (more)

Subjects/Keywords: Computer engineering; Electrical engineering; neural networks; Optimization; Magnetic Resonance Imaging; Biomedical engineering; Compressed Sensing; Under-sampling; machine learning

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APA (6th Edition):

Bahadir, C. D. (2019). Learning-Based Optimization of the Under-Sampling Pattern in MRI. (Masters Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/67384

Chicago Manual of Style (16th Edition):

Bahadir, Cagla Deniz. “Learning-Based Optimization of the Under-Sampling Pattern in MRI.” 2019. Masters Thesis, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/67384.

MLA Handbook (7th Edition):

Bahadir, Cagla Deniz. “Learning-Based Optimization of the Under-Sampling Pattern in MRI.” 2019. Web. 16 Apr 2021.

Vancouver:

Bahadir CD. Learning-Based Optimization of the Under-Sampling Pattern in MRI. [Internet] [Masters thesis]. Cornell University; 2019. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/67384.

Council of Science Editors:

Bahadir CD. Learning-Based Optimization of the Under-Sampling Pattern in MRI. [Masters Thesis]. Cornell University; 2019. Available from: http://hdl.handle.net/1813/67384


Cornell University

9. Cho, Junghun. BIOPHYSICS MODEL IMPROVEMENT IN MAGNETIC RESONANCE IMAGING: CEREBRAL METABOLIC RATE OF OXYGEN.

Degree: PhD, Biomedical Engineering, 2019, Cornell University

 Cerebral metabolic rate of oxygen (CMRO2) and oxygen extraction fraction (OEF) are valuable to investigate tissue viability and function. Numerous magnetic resonance imainge (MRI) methods… (more)

Subjects/Keywords: cerebral metabolic rate of oxygen; magnetic resonance imaging; oxygen extraction fraction; QSM+qBOLD; quantitative BOLD; quantitative susceptibility mapping

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APA (6th Edition):

Cho, J. (2019). BIOPHYSICS MODEL IMPROVEMENT IN MAGNETIC RESONANCE IMAGING: CEREBRAL METABOLIC RATE OF OXYGEN. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/70058

Chicago Manual of Style (16th Edition):

Cho, Junghun. “BIOPHYSICS MODEL IMPROVEMENT IN MAGNETIC RESONANCE IMAGING: CEREBRAL METABOLIC RATE OF OXYGEN.” 2019. Doctoral Dissertation, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/70058.

MLA Handbook (7th Edition):

Cho, Junghun. “BIOPHYSICS MODEL IMPROVEMENT IN MAGNETIC RESONANCE IMAGING: CEREBRAL METABOLIC RATE OF OXYGEN.” 2019. Web. 16 Apr 2021.

Vancouver:

Cho J. BIOPHYSICS MODEL IMPROVEMENT IN MAGNETIC RESONANCE IMAGING: CEREBRAL METABOLIC RATE OF OXYGEN. [Internet] [Doctoral dissertation]. Cornell University; 2019. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/70058.

Council of Science Editors:

Cho J. BIOPHYSICS MODEL IMPROVEMENT IN MAGNETIC RESONANCE IMAGING: CEREBRAL METABOLIC RATE OF OXYGEN. [Doctoral Dissertation]. Cornell University; 2019. Available from: http://hdl.handle.net/1813/70058


Cornell University

10. Wisnieff, Cynthia. Quantitative Assessment Of Magnetic Properties Within White Matter Fibers Using Mri.

Degree: PhD, Biomedical Engineering, 2014, Cornell University

 Quantitative magnetic resonance imaging techniques such as quantitative susceptibility mapping (QSM) have great potential to provide tissue specific and longitudinally applicable biomarkers of disease. Such… (more)

Subjects/Keywords: Magnetic Resonance Imaging; White Matter; Magnetic Susceptibility

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APA (6th Edition):

Wisnieff, C. (2014). Quantitative Assessment Of Magnetic Properties Within White Matter Fibers Using Mri. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/38786

Chicago Manual of Style (16th Edition):

Wisnieff, Cynthia. “Quantitative Assessment Of Magnetic Properties Within White Matter Fibers Using Mri.” 2014. Doctoral Dissertation, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/38786.

MLA Handbook (7th Edition):

Wisnieff, Cynthia. “Quantitative Assessment Of Magnetic Properties Within White Matter Fibers Using Mri.” 2014. Web. 16 Apr 2021.

Vancouver:

Wisnieff C. Quantitative Assessment Of Magnetic Properties Within White Matter Fibers Using Mri. [Internet] [Doctoral dissertation]. Cornell University; 2014. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/38786.

Council of Science Editors:

Wisnieff C. Quantitative Assessment Of Magnetic Properties Within White Matter Fibers Using Mri. [Doctoral Dissertation]. Cornell University; 2014. Available from: http://hdl.handle.net/1813/38786


Cornell University

11. Cooper, Mitchell. Improved Magnetic Resonance Imaging Via Sparse Reconstruction And Physics Based Modeling.

Degree: PhD, Biomedical Engineering, 2015, Cornell University

 Magnetic Resonance Imaging (MRI) is unique in its ability to image human tissue with varying contrasts and to probe the physical properties of the tissue.… (more)

Subjects/Keywords: MRI; Cardiac; Liver

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APA (6th Edition):

Cooper, M. (2015). Improved Magnetic Resonance Imaging Via Sparse Reconstruction And Physics Based Modeling. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/39376

Chicago Manual of Style (16th Edition):

Cooper, Mitchell. “Improved Magnetic Resonance Imaging Via Sparse Reconstruction And Physics Based Modeling.” 2015. Doctoral Dissertation, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/39376.

MLA Handbook (7th Edition):

Cooper, Mitchell. “Improved Magnetic Resonance Imaging Via Sparse Reconstruction And Physics Based Modeling.” 2015. Web. 16 Apr 2021.

Vancouver:

Cooper M. Improved Magnetic Resonance Imaging Via Sparse Reconstruction And Physics Based Modeling. [Internet] [Doctoral dissertation]. Cornell University; 2015. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/39376.

Council of Science Editors:

Cooper M. Improved Magnetic Resonance Imaging Via Sparse Reconstruction And Physics Based Modeling. [Doctoral Dissertation]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/39376


Cornell University

12. Kawaji, Keigo. Improved Wall And Lumen Image Acquistion And Processing For Cardiac And Peripheral Magnetic Resonance.

Degree: PhD, Biomedical Engineering, 2012, Cornell University

 Magnetic Resonance Imaging (MRI) is regularly used for routine diagnostics in clinical medicine today. It is a versatile imaging modality that can be tailored to… (more)

Subjects/Keywords: Magnetic Resonance Imaging; Cardiovascular Imaging; Novel Acquisition

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APA (6th Edition):

Kawaji, K. (2012). Improved Wall And Lumen Image Acquistion And Processing For Cardiac And Peripheral Magnetic Resonance. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/31078

Chicago Manual of Style (16th Edition):

Kawaji, Keigo. “Improved Wall And Lumen Image Acquistion And Processing For Cardiac And Peripheral Magnetic Resonance.” 2012. Doctoral Dissertation, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/31078.

MLA Handbook (7th Edition):

Kawaji, Keigo. “Improved Wall And Lumen Image Acquistion And Processing For Cardiac And Peripheral Magnetic Resonance.” 2012. Web. 16 Apr 2021.

Vancouver:

Kawaji K. Improved Wall And Lumen Image Acquistion And Processing For Cardiac And Peripheral Magnetic Resonance. [Internet] [Doctoral dissertation]. Cornell University; 2012. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/31078.

Council of Science Editors:

Kawaji K. Improved Wall And Lumen Image Acquistion And Processing For Cardiac And Peripheral Magnetic Resonance. [Doctoral Dissertation]. Cornell University; 2012. Available from: http://hdl.handle.net/1813/31078


Cornell University

13. Wong, Richard. Tracking And Quantifying Nanoparticle Contrast Agents Using Magnetic Resonance Imaging.

Degree: PhD, Biomedical Engineering, 2012, Cornell University

 MRI is a powerful technique that is commonly used in clinical settings. It is non-invasive, does not employ ionizing radiation, and is capable of high… (more)

Subjects/Keywords: mri; targeted contrast agents; cancer and acute inflammation

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APA (6th Edition):

Wong, R. (2012). Tracking And Quantifying Nanoparticle Contrast Agents Using Magnetic Resonance Imaging. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/31139

Chicago Manual of Style (16th Edition):

Wong, Richard. “Tracking And Quantifying Nanoparticle Contrast Agents Using Magnetic Resonance Imaging.” 2012. Doctoral Dissertation, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/31139.

MLA Handbook (7th Edition):

Wong, Richard. “Tracking And Quantifying Nanoparticle Contrast Agents Using Magnetic Resonance Imaging.” 2012. Web. 16 Apr 2021.

Vancouver:

Wong R. Tracking And Quantifying Nanoparticle Contrast Agents Using Magnetic Resonance Imaging. [Internet] [Doctoral dissertation]. Cornell University; 2012. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/31139.

Council of Science Editors:

Wong R. Tracking And Quantifying Nanoparticle Contrast Agents Using Magnetic Resonance Imaging. [Doctoral Dissertation]. Cornell University; 2012. Available from: http://hdl.handle.net/1813/31139


Cornell University

14. Ozil, Ipek. System Identification Of Dynamical Models For Signals Related To The Human Use Of Ethanol.

Degree: PhD, Electrical Engineering, 2014, Cornell University

 The influence of genetics on the risk for alcoholism is a major theme in alcoholism research. Genetic research depends on phenotyping. However, accurate phenotyping of… (more)

Subjects/Keywords: Statistical signal processing; Expectation maximization; System identification

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APA (6th Edition):

Ozil, I. (2014). System Identification Of Dynamical Models For Signals Related To The Human Use Of Ethanol. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/38828

Chicago Manual of Style (16th Edition):

Ozil, Ipek. “System Identification Of Dynamical Models For Signals Related To The Human Use Of Ethanol.” 2014. Doctoral Dissertation, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/38828.

MLA Handbook (7th Edition):

Ozil, Ipek. “System Identification Of Dynamical Models For Signals Related To The Human Use Of Ethanol.” 2014. Web. 16 Apr 2021.

Vancouver:

Ozil I. System Identification Of Dynamical Models For Signals Related To The Human Use Of Ethanol. [Internet] [Doctoral dissertation]. Cornell University; 2014. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/38828.

Council of Science Editors:

Ozil I. System Identification Of Dynamical Models For Signals Related To The Human Use Of Ethanol. [Doctoral Dissertation]. Cornell University; 2014. Available from: http://hdl.handle.net/1813/38828


Cornell University

15. Zavrel, Erik Alexander. CLINICAL VALIDATION OF CONSUMER SLEEP MONITORING DEVICES & DESIGN, PROTOTYPING, AND PILOT TESTING OF NON-PHARMACOLOGICAL INTERVENTIONS FOR OBSTRUCTIVE SLEEP APNEA AND INSOMNIA.

Degree: PhD, Biomedical Engineering, 2018, Cornell University

 The research presented herein focuses on medical devices for sleep. The body of this dissertation is organized into three main sections. The first is dedicated… (more)

Subjects/Keywords: Electrical engineering; insomnia; instrumentation; medical devices; obstructive sleep apnea; sleep disorders; sleep medicine; Biomedical engineering; Neurosciences

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APA (6th Edition):

Zavrel, E. A. (2018). CLINICAL VALIDATION OF CONSUMER SLEEP MONITORING DEVICES & DESIGN, PROTOTYPING, AND PILOT TESTING OF NON-PHARMACOLOGICAL INTERVENTIONS FOR OBSTRUCTIVE SLEEP APNEA AND INSOMNIA. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/59799

Chicago Manual of Style (16th Edition):

Zavrel, Erik Alexander. “CLINICAL VALIDATION OF CONSUMER SLEEP MONITORING DEVICES & DESIGN, PROTOTYPING, AND PILOT TESTING OF NON-PHARMACOLOGICAL INTERVENTIONS FOR OBSTRUCTIVE SLEEP APNEA AND INSOMNIA.” 2018. Doctoral Dissertation, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/59799.

MLA Handbook (7th Edition):

Zavrel, Erik Alexander. “CLINICAL VALIDATION OF CONSUMER SLEEP MONITORING DEVICES & DESIGN, PROTOTYPING, AND PILOT TESTING OF NON-PHARMACOLOGICAL INTERVENTIONS FOR OBSTRUCTIVE SLEEP APNEA AND INSOMNIA.” 2018. Web. 16 Apr 2021.

Vancouver:

Zavrel EA. CLINICAL VALIDATION OF CONSUMER SLEEP MONITORING DEVICES & DESIGN, PROTOTYPING, AND PILOT TESTING OF NON-PHARMACOLOGICAL INTERVENTIONS FOR OBSTRUCTIVE SLEEP APNEA AND INSOMNIA. [Internet] [Doctoral dissertation]. Cornell University; 2018. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/59799.

Council of Science Editors:

Zavrel EA. CLINICAL VALIDATION OF CONSUMER SLEEP MONITORING DEVICES & DESIGN, PROTOTYPING, AND PILOT TESTING OF NON-PHARMACOLOGICAL INTERVENTIONS FOR OBSTRUCTIVE SLEEP APNEA AND INSOMNIA. [Doctoral Dissertation]. Cornell University; 2018. Available from: http://hdl.handle.net/1813/59799


Cornell University

16. Zhang, Jingwei. MAGNETIC SUSCEPTIBILITY APPROACH FOR QUANTITATIVE CEREBRAL OXYGEN METABOLISM MAPPING.

Degree: PhD, Biomedical Engineering, 2017, Cornell University

 Magnetic resonance imaging (MRI) is a noninvasive technique that allows imaging three dimensional volume through the body, providing superior soft tissue contrast compared to CT… (more)

Subjects/Keywords: Quantitative Susceptibility Mapping; Biomedical engineering; Magnetic Resonance Imaging; Magnetic Susceptibility; Quantitative Cerebral Oxygen Metabolism Mapping

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APA (6th Edition):

Zhang, J. (2017). MAGNETIC SUSCEPTIBILITY APPROACH FOR QUANTITATIVE CEREBRAL OXYGEN METABOLISM MAPPING. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/51594

Chicago Manual of Style (16th Edition):

Zhang, Jingwei. “MAGNETIC SUSCEPTIBILITY APPROACH FOR QUANTITATIVE CEREBRAL OXYGEN METABOLISM MAPPING.” 2017. Doctoral Dissertation, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/51594.

MLA Handbook (7th Edition):

Zhang, Jingwei. “MAGNETIC SUSCEPTIBILITY APPROACH FOR QUANTITATIVE CEREBRAL OXYGEN METABOLISM MAPPING.” 2017. Web. 16 Apr 2021.

Vancouver:

Zhang J. MAGNETIC SUSCEPTIBILITY APPROACH FOR QUANTITATIVE CEREBRAL OXYGEN METABOLISM MAPPING. [Internet] [Doctoral dissertation]. Cornell University; 2017. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/51594.

Council of Science Editors:

Zhang J. MAGNETIC SUSCEPTIBILITY APPROACH FOR QUANTITATIVE CEREBRAL OXYGEN METABOLISM MAPPING. [Doctoral Dissertation]. Cornell University; 2017. Available from: http://hdl.handle.net/1813/51594


Cornell University

17. Lee, Seung. Studies On Reliable And Energy-Efficient Wireless Sensor Networks For Mobile Healthcare Systems.

Degree: PhD, Electrical Engineering, 2011, Cornell University

 The outstanding improvement of communication and sensor technologies has not brought us only convenience to our lives but also envisioning our promising future with no… (more)

Subjects/Keywords: Wireless Body Area Network; Wireless Sensor Network; Linear Network Coding

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APA (6th Edition):

Lee, S. (2011). Studies On Reliable And Energy-Efficient Wireless Sensor Networks For Mobile Healthcare Systems. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/30729

Chicago Manual of Style (16th Edition):

Lee, Seung. “Studies On Reliable And Energy-Efficient Wireless Sensor Networks For Mobile Healthcare Systems.” 2011. Doctoral Dissertation, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/30729.

MLA Handbook (7th Edition):

Lee, Seung. “Studies On Reliable And Energy-Efficient Wireless Sensor Networks For Mobile Healthcare Systems.” 2011. Web. 16 Apr 2021.

Vancouver:

Lee S. Studies On Reliable And Energy-Efficient Wireless Sensor Networks For Mobile Healthcare Systems. [Internet] [Doctoral dissertation]. Cornell University; 2011. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/30729.

Council of Science Editors:

Lee S. Studies On Reliable And Energy-Efficient Wireless Sensor Networks For Mobile Healthcare Systems. [Doctoral Dissertation]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/30729


Cornell University

18. Wang, Qiu. From Homogeneous To Heterogeneous: Statistical 3-D Signal Reconstruction Of Macromolecular Complexes.

Degree: PhD, Electrical Engineering, 2013, Cornell University

 The structure and function of biological macromolecular complexes is currently a topic of great interest in biology. The primary contribution of this thesis is the… (more)

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APA (6th Edition):

Wang, Q. (2013). From Homogeneous To Heterogeneous: Statistical 3-D Signal Reconstruction Of Macromolecular Complexes. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/34068

Chicago Manual of Style (16th Edition):

Wang, Qiu. “From Homogeneous To Heterogeneous: Statistical 3-D Signal Reconstruction Of Macromolecular Complexes.” 2013. Doctoral Dissertation, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/34068.

MLA Handbook (7th Edition):

Wang, Qiu. “From Homogeneous To Heterogeneous: Statistical 3-D Signal Reconstruction Of Macromolecular Complexes.” 2013. Web. 16 Apr 2021.

Vancouver:

Wang Q. From Homogeneous To Heterogeneous: Statistical 3-D Signal Reconstruction Of Macromolecular Complexes. [Internet] [Doctoral dissertation]. Cornell University; 2013. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/34068.

Council of Science Editors:

Wang Q. From Homogeneous To Heterogeneous: Statistical 3-D Signal Reconstruction Of Macromolecular Complexes. [Doctoral Dissertation]. Cornell University; 2013. Available from: http://hdl.handle.net/1813/34068


Cornell University

19. Cornelius, Nathan. Mathematical Modeling And Statistical Analysis Of The Cortical Microvasculature And Hemodynamic Response.

Degree: PhD, Biomedical Engineering, 2014, Cornell University

 Mathematical models can serve as useful tools to better understand physiology and biological phenomena. This work outlines several mathematical models and their connection with various… (more)

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APA (6th Edition):

Cornelius, N. (2014). Mathematical Modeling And Statistical Analysis Of The Cortical Microvasculature And Hemodynamic Response. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/36142

Chicago Manual of Style (16th Edition):

Cornelius, Nathan. “Mathematical Modeling And Statistical Analysis Of The Cortical Microvasculature And Hemodynamic Response.” 2014. Doctoral Dissertation, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/36142.

MLA Handbook (7th Edition):

Cornelius, Nathan. “Mathematical Modeling And Statistical Analysis Of The Cortical Microvasculature And Hemodynamic Response.” 2014. Web. 16 Apr 2021.

Vancouver:

Cornelius N. Mathematical Modeling And Statistical Analysis Of The Cortical Microvasculature And Hemodynamic Response. [Internet] [Doctoral dissertation]. Cornell University; 2014. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/36142.

Council of Science Editors:

Cornelius N. Mathematical Modeling And Statistical Analysis Of The Cortical Microvasculature And Hemodynamic Response. [Doctoral Dissertation]. Cornell University; 2014. Available from: http://hdl.handle.net/1813/36142


Cornell University

20. Wen, Yan. METHODS FOR QUANTITATIVE SUSCEPTIBILITY MAPPING AND ITS APPLICATION TO CARDIOVASCULAR MRI.

Degree: PhD, Biomedical Engineering, 2020, Cornell University

 Magnetic Resonance Imaging (MRI) is a powerful noninvasive medical imaging technique capable of volumetric imaging at an arbitrary plane. Another feature of MRI is its… (more)

Subjects/Keywords: Cardiovascular; Inverse Problem; Magnetic resonance imaging; Quantitative Susceptibility Mapping

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APA (6th Edition):

Wen, Y. (2020). METHODS FOR QUANTITATIVE SUSCEPTIBILITY MAPPING AND ITS APPLICATION TO CARDIOVASCULAR MRI. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/70405

Chicago Manual of Style (16th Edition):

Wen, Yan. “METHODS FOR QUANTITATIVE SUSCEPTIBILITY MAPPING AND ITS APPLICATION TO CARDIOVASCULAR MRI.” 2020. Doctoral Dissertation, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/70405.

MLA Handbook (7th Edition):

Wen, Yan. “METHODS FOR QUANTITATIVE SUSCEPTIBILITY MAPPING AND ITS APPLICATION TO CARDIOVASCULAR MRI.” 2020. Web. 16 Apr 2021.

Vancouver:

Wen Y. METHODS FOR QUANTITATIVE SUSCEPTIBILITY MAPPING AND ITS APPLICATION TO CARDIOVASCULAR MRI. [Internet] [Doctoral dissertation]. Cornell University; 2020. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/70405.

Council of Science Editors:

Wen Y. METHODS FOR QUANTITATIVE SUSCEPTIBILITY MAPPING AND ITS APPLICATION TO CARDIOVASCULAR MRI. [Doctoral Dissertation]. Cornell University; 2020. Available from: http://hdl.handle.net/1813/70405


Cornell University

21. Keller, Brad. Quantitative Analysis Of Emphysema From Whole-Lung, Low-Dose Computed Tomography Images.

Degree: PhD, Biomedical Engineering, 2011, Cornell University

 Pulmonary emphysema is an irreversible disease of the lungs characterized by the destruction of the alveolar air sacs. Given the nature of the disease, it… (more)

Subjects/Keywords: Computed Tomography (CT); Emphysema; Computer Aided Diagnosis (CAD)

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APA (6th Edition):

Keller, B. (2011). Quantitative Analysis Of Emphysema From Whole-Lung, Low-Dose Computed Tomography Images. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/29235

Chicago Manual of Style (16th Edition):

Keller, Brad. “Quantitative Analysis Of Emphysema From Whole-Lung, Low-Dose Computed Tomography Images.” 2011. Doctoral Dissertation, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/29235.

MLA Handbook (7th Edition):

Keller, Brad. “Quantitative Analysis Of Emphysema From Whole-Lung, Low-Dose Computed Tomography Images.” 2011. Web. 16 Apr 2021.

Vancouver:

Keller B. Quantitative Analysis Of Emphysema From Whole-Lung, Low-Dose Computed Tomography Images. [Internet] [Doctoral dissertation]. Cornell University; 2011. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/29235.

Council of Science Editors:

Keller B. Quantitative Analysis Of Emphysema From Whole-Lung, Low-Dose Computed Tomography Images. [Doctoral Dissertation]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/29235


Cornell University

22. Nguyen, Hoang Long. IMAGE RECONSTRUCTION DEVELOPMENT AND SIGNAL-TO-NOISE ANALYSIS FOR NANOMETER-SCALE MAGNETIC RESONANCE IMAGING.

Degree: PhD, Chemistry and Chemical Biology, 2018, Cornell University

 The imaging capability of magnetic resonance force microscopy has been demonstrated with a 25 nm resolution spin-noise image of a single electron spin and a… (more)

Subjects/Keywords: Physical chemistry; magnetic resonance; Markov chain Monte Carlo; Metropolis; spins; Image reconstruction; Imaging

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APA (6th Edition):

Nguyen, H. L. (2018). IMAGE RECONSTRUCTION DEVELOPMENT AND SIGNAL-TO-NOISE ANALYSIS FOR NANOMETER-SCALE MAGNETIC RESONANCE IMAGING. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/59416

Chicago Manual of Style (16th Edition):

Nguyen, Hoang Long. “IMAGE RECONSTRUCTION DEVELOPMENT AND SIGNAL-TO-NOISE ANALYSIS FOR NANOMETER-SCALE MAGNETIC RESONANCE IMAGING.” 2018. Doctoral Dissertation, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/59416.

MLA Handbook (7th Edition):

Nguyen, Hoang Long. “IMAGE RECONSTRUCTION DEVELOPMENT AND SIGNAL-TO-NOISE ANALYSIS FOR NANOMETER-SCALE MAGNETIC RESONANCE IMAGING.” 2018. Web. 16 Apr 2021.

Vancouver:

Nguyen HL. IMAGE RECONSTRUCTION DEVELOPMENT AND SIGNAL-TO-NOISE ANALYSIS FOR NANOMETER-SCALE MAGNETIC RESONANCE IMAGING. [Internet] [Doctoral dissertation]. Cornell University; 2018. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/59416.

Council of Science Editors:

Nguyen HL. IMAGE RECONSTRUCTION DEVELOPMENT AND SIGNAL-TO-NOISE ANALYSIS FOR NANOMETER-SCALE MAGNETIC RESONANCE IMAGING. [Doctoral Dissertation]. Cornell University; 2018. Available from: http://hdl.handle.net/1813/59416


Cornell University

23. Nguyen, Xuanmai. Complex Systems Approach To Modeling Folate Metabolism: Examining The Homocysteine Remethylation Pathway.

Degree: PhD, Nutrition, 2014, Cornell University

 The overall objective of this research is to examine the joint effect of multiple variants in folate metabolism on CVD outcome. The intermediary outcome, homocysteine,… (more)

Subjects/Keywords: complex systems; personalized medicine; folate metabolism

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APA (6th Edition):

Nguyen, X. (2014). Complex Systems Approach To Modeling Folate Metabolism: Examining The Homocysteine Remethylation Pathway. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/36193

Chicago Manual of Style (16th Edition):

Nguyen, Xuanmai. “Complex Systems Approach To Modeling Folate Metabolism: Examining The Homocysteine Remethylation Pathway.” 2014. Doctoral Dissertation, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/36193.

MLA Handbook (7th Edition):

Nguyen, Xuanmai. “Complex Systems Approach To Modeling Folate Metabolism: Examining The Homocysteine Remethylation Pathway.” 2014. Web. 16 Apr 2021.

Vancouver:

Nguyen X. Complex Systems Approach To Modeling Folate Metabolism: Examining The Homocysteine Remethylation Pathway. [Internet] [Doctoral dissertation]. Cornell University; 2014. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/36193.

Council of Science Editors:

Nguyen X. Complex Systems Approach To Modeling Folate Metabolism: Examining The Homocysteine Remethylation Pathway. [Doctoral Dissertation]. Cornell University; 2014. Available from: http://hdl.handle.net/1813/36193


Cornell University

24. Lee, Jaesung. Automated Analysis Of Anatomical Structures From Low-Dose Chest Computed Tomography Scans.

Degree: PhD, Electrical Engineering, 2011, Cornell University

 Recent advances in CT technologies have enabled clinicians to obtain threedimensional (3D) volumetric images with high resolution. In this research, fullyautomated methods to analyze anatomical… (more)

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APA (6th Edition):

Lee, J. (2011). Automated Analysis Of Anatomical Structures From Low-Dose Chest Computed Tomography Scans. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/33545

Chicago Manual of Style (16th Edition):

Lee, Jaesung. “Automated Analysis Of Anatomical Structures From Low-Dose Chest Computed Tomography Scans.” 2011. Doctoral Dissertation, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/33545.

MLA Handbook (7th Edition):

Lee, Jaesung. “Automated Analysis Of Anatomical Structures From Low-Dose Chest Computed Tomography Scans.” 2011. Web. 16 Apr 2021.

Vancouver:

Lee J. Automated Analysis Of Anatomical Structures From Low-Dose Chest Computed Tomography Scans. [Internet] [Doctoral dissertation]. Cornell University; 2011. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/33545.

Council of Science Editors:

Lee J. Automated Analysis Of Anatomical Structures From Low-Dose Chest Computed Tomography Scans. [Doctoral Dissertation]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/33545


Cornell University

25. Fotin, Sergey. Computer-Aided Detection Of Pulmonary Nodules From Ct Scans.

Degree: PhD, Electrical Engineering, 2011, Cornell University

 Lung cancer is the leading cause of cancer related death in the world. Computed tomography (CT), which can provide detailed images of lung structure, makes… (more)

Subjects/Keywords: Computer-aided detection; Pulmonary nodules; Computed tomography

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APA (6th Edition):

Fotin, S. (2011). Computer-Aided Detection Of Pulmonary Nodules From Ct Scans. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/33630

Chicago Manual of Style (16th Edition):

Fotin, Sergey. “Computer-Aided Detection Of Pulmonary Nodules From Ct Scans.” 2011. Doctoral Dissertation, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/33630.

MLA Handbook (7th Edition):

Fotin, Sergey. “Computer-Aided Detection Of Pulmonary Nodules From Ct Scans.” 2011. Web. 16 Apr 2021.

Vancouver:

Fotin S. Computer-Aided Detection Of Pulmonary Nodules From Ct Scans. [Internet] [Doctoral dissertation]. Cornell University; 2011. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/33630.

Council of Science Editors:

Fotin S. Computer-Aided Detection Of Pulmonary Nodules From Ct Scans. [Doctoral Dissertation]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/33630


Cornell University

26. Liu, Shuang. Automated analysis of quantitative image biomarkers from low-dose chest CT scans.

Degree: PhD, Electrical and Computer Engineering, 2018, Cornell University

 A quantitative imaging biomarker is a quantitatively measured characteristic derived from medical images, which serves as cost¬-effective and non¬invasive tools for patient health assessment, including… (more)

Subjects/Keywords: machine learning; Computer engineering; Deep Learning; Electrical engineering; Computer science; automated medical imaging analysis; computer-aided diagnosis; low-dose chest CT; lung cancer screening

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APA (6th Edition):

Liu, S. (2018). Automated analysis of quantitative image biomarkers from low-dose chest CT scans. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/59568

Chicago Manual of Style (16th Edition):

Liu, Shuang. “Automated analysis of quantitative image biomarkers from low-dose chest CT scans.” 2018. Doctoral Dissertation, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/59568.

MLA Handbook (7th Edition):

Liu, Shuang. “Automated analysis of quantitative image biomarkers from low-dose chest CT scans.” 2018. Web. 16 Apr 2021.

Vancouver:

Liu S. Automated analysis of quantitative image biomarkers from low-dose chest CT scans. [Internet] [Doctoral dissertation]. Cornell University; 2018. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/59568.

Council of Science Editors:

Liu S. Automated analysis of quantitative image biomarkers from low-dose chest CT scans. [Doctoral Dissertation]. Cornell University; 2018. Available from: http://hdl.handle.net/1813/59568


Cornell University

27. Jafari, Ramin. ADVANCED MRI TECHNIQUES FOR ASSESSMENT OF LIVER DISEASE.

Degree: PhD, Biomedical Engineering, 2020, Cornell University

 While there has been progress in controlling many diseases in the past decade in the United States, chronic liver disease mortality rate has increased according… (more)

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APA (6th Edition):

Jafari, R. (2020). ADVANCED MRI TECHNIQUES FOR ASSESSMENT OF LIVER DISEASE. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/102959

Chicago Manual of Style (16th Edition):

Jafari, Ramin. “ADVANCED MRI TECHNIQUES FOR ASSESSMENT OF LIVER DISEASE.” 2020. Doctoral Dissertation, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/102959.

MLA Handbook (7th Edition):

Jafari, Ramin. “ADVANCED MRI TECHNIQUES FOR ASSESSMENT OF LIVER DISEASE.” 2020. Web. 16 Apr 2021.

Vancouver:

Jafari R. ADVANCED MRI TECHNIQUES FOR ASSESSMENT OF LIVER DISEASE. [Internet] [Doctoral dissertation]. Cornell University; 2020. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/102959.

Council of Science Editors:

Jafari R. ADVANCED MRI TECHNIQUES FOR ASSESSMENT OF LIVER DISEASE. [Doctoral Dissertation]. Cornell University; 2020. Available from: http://hdl.handle.net/1813/102959


Cornell University

28. Wang, Kang. Model-Based Statistical Estimation Algorithms For Functional Structural Virology.

Degree: PhD, Biomedical Engineering, 2012, Cornell University

 A technique that is used widely in structural biology utilizing transmission electron microscopy (TEM) is single-particle cryo-EM, in which one projection image of a plunge-frozen… (more)

Subjects/Keywords: model-based; cryo-electron tomography; reconstruction algorithms

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APA (6th Edition):

Wang, K. (2012). Model-Based Statistical Estimation Algorithms For Functional Structural Virology. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/29383

Chicago Manual of Style (16th Edition):

Wang, Kang. “Model-Based Statistical Estimation Algorithms For Functional Structural Virology.” 2012. Doctoral Dissertation, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/29383.

MLA Handbook (7th Edition):

Wang, Kang. “Model-Based Statistical Estimation Algorithms For Functional Structural Virology.” 2012. Web. 16 Apr 2021.

Vancouver:

Wang K. Model-Based Statistical Estimation Algorithms For Functional Structural Virology. [Internet] [Doctoral dissertation]. Cornell University; 2012. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/29383.

Council of Science Editors:

Wang K. Model-Based Statistical Estimation Algorithms For Functional Structural Virology. [Doctoral Dissertation]. Cornell University; 2012. Available from: http://hdl.handle.net/1813/29383


Cornell University

29. Abdel-Naby, Waleed. Silk Fibroin Biomaterials For Use In Ocular Surface Repair Applications.

Degree: PhD, Biomedical Engineering, 2015, Cornell University

 Impaired wound healing of the ocular surface can lead to persistent epithelial defects which can result in a range of corneal pathologies and loss of… (more)

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APA (6th Edition):

Abdel-Naby, W. (2015). Silk Fibroin Biomaterials For Use In Ocular Surface Repair Applications. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/41038

Chicago Manual of Style (16th Edition):

Abdel-Naby, Waleed. “Silk Fibroin Biomaterials For Use In Ocular Surface Repair Applications.” 2015. Doctoral Dissertation, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/41038.

MLA Handbook (7th Edition):

Abdel-Naby, Waleed. “Silk Fibroin Biomaterials For Use In Ocular Surface Repair Applications.” 2015. Web. 16 Apr 2021.

Vancouver:

Abdel-Naby W. Silk Fibroin Biomaterials For Use In Ocular Surface Repair Applications. [Internet] [Doctoral dissertation]. Cornell University; 2015. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/41038.

Council of Science Editors:

Abdel-Naby W. Silk Fibroin Biomaterials For Use In Ocular Surface Repair Applications. [Doctoral Dissertation]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/41038

30. Liu, Zhe. Inverse Problem In Quantitative Susceptibility Mapping: Numerical And Machine Learning Approaches.

Degree: PhD, Biomedical Engineering, 2019, Cornell University

 Magnetic susceptibility reflects the concentration of bio-metal elements such as iron, calcium or gadolinium, providing means to investigate diseases such as multiple sclerosis, Alzheimer’s disease,… (more)

Subjects/Keywords: Medical imaging; Mathematics; MRI; QSM; Computer science; preconditioning; machine learning

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APA (6th Edition):

Liu, Z. (2019). Inverse Problem In Quantitative Susceptibility Mapping: Numerical And Machine Learning Approaches. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/67478

Chicago Manual of Style (16th Edition):

Liu, Zhe. “Inverse Problem In Quantitative Susceptibility Mapping: Numerical And Machine Learning Approaches.” 2019. Doctoral Dissertation, Cornell University. Accessed April 16, 2021. http://hdl.handle.net/1813/67478.

MLA Handbook (7th Edition):

Liu, Zhe. “Inverse Problem In Quantitative Susceptibility Mapping: Numerical And Machine Learning Approaches.” 2019. Web. 16 Apr 2021.

Vancouver:

Liu Z. Inverse Problem In Quantitative Susceptibility Mapping: Numerical And Machine Learning Approaches. [Internet] [Doctoral dissertation]. Cornell University; 2019. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1813/67478.

Council of Science Editors:

Liu Z. Inverse Problem In Quantitative Susceptibility Mapping: Numerical And Machine Learning Approaches. [Doctoral Dissertation]. Cornell University; 2019. Available from: http://hdl.handle.net/1813/67478

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