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You searched for +publisher:"Vanderbilt University" +contributor:("Robert F. Labadie"). Showing records 1 – 8 of 8 total matches.

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Vanderbilt University

1. Reda, Fitsum Aklilu. Automatic Segmentation of Structures and Registration of CT Images for Image-Guided Otologic Surgery and Implant Programming.

Degree: PhD, Electrical Engineering, 2014, Vanderbilt University

 A cochlear implant (CI) is a neural prosthetic device that restores hearing by directly stimulating the auditory nerve using an electrode array surgically placed in… (more)

Subjects/Keywords: Image Segmentation; Image Registration; Statistical Shape Models; Surface-to-Image Registration; Shape Alignment; Cochlear Imaplnt; Cochlear Implant Surgery; Cochlear Implant Programming; CT; Ear; Minimally-invasive Surgery

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

APA (6th Edition):

Reda, F. A. (2014). Automatic Segmentation of Structures and Registration of CT Images for Image-Guided Otologic Surgery and Implant Programming. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/11124

Chicago Manual of Style (16th Edition):

Reda, Fitsum Aklilu. “Automatic Segmentation of Structures and Registration of CT Images for Image-Guided Otologic Surgery and Implant Programming.” 2014. Doctoral Dissertation, Vanderbilt University. Accessed November 28, 2020. http://hdl.handle.net/1803/11124.

MLA Handbook (7th Edition):

Reda, Fitsum Aklilu. “Automatic Segmentation of Structures and Registration of CT Images for Image-Guided Otologic Surgery and Implant Programming.” 2014. Web. 28 Nov 2020.

Vancouver:

Reda FA. Automatic Segmentation of Structures and Registration of CT Images for Image-Guided Otologic Surgery and Implant Programming. [Internet] [Doctoral dissertation]. Vanderbilt University; 2014. [cited 2020 Nov 28]. Available from: http://hdl.handle.net/1803/11124.

Council of Science Editors:

Reda FA. Automatic Segmentation of Structures and Registration of CT Images for Image-Guided Otologic Surgery and Implant Programming. [Doctoral Dissertation]. Vanderbilt University; 2014. Available from: http://hdl.handle.net/1803/11124


Vanderbilt University

2. Dillon, Neal Patrick. Analysis, Design, and Modeling of Image-Guided Robotic Systems for Otologic Surgery.

Degree: PhD, Mechanical Engineering, 2017, Vanderbilt University

 Otology and neurotology are surgical specialties focusing on the treatment of ear diseases. A key component of many otologic and neurotologic surgical procedures is the… (more)

Subjects/Keywords: Image-guided surgery; medical robotics; cochlear implantation; mastoidectomy; robotic bone milling; robot trajectory planning

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APA (6th Edition):

Dillon, N. P. (2017). Analysis, Design, and Modeling of Image-Guided Robotic Systems for Otologic Surgery. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/10477

Chicago Manual of Style (16th Edition):

Dillon, Neal Patrick. “Analysis, Design, and Modeling of Image-Guided Robotic Systems for Otologic Surgery.” 2017. Doctoral Dissertation, Vanderbilt University. Accessed November 28, 2020. http://hdl.handle.net/1803/10477.

MLA Handbook (7th Edition):

Dillon, Neal Patrick. “Analysis, Design, and Modeling of Image-Guided Robotic Systems for Otologic Surgery.” 2017. Web. 28 Nov 2020.

Vancouver:

Dillon NP. Analysis, Design, and Modeling of Image-Guided Robotic Systems for Otologic Surgery. [Internet] [Doctoral dissertation]. Vanderbilt University; 2017. [cited 2020 Nov 28]. Available from: http://hdl.handle.net/1803/10477.

Council of Science Editors:

Dillon NP. Analysis, Design, and Modeling of Image-Guided Robotic Systems for Otologic Surgery. [Doctoral Dissertation]. Vanderbilt University; 2017. Available from: http://hdl.handle.net/1803/10477


Vanderbilt University

3. Noble, Jack Henry. Automatic Identification of the Structures of the Ear and a New Approach for Tubular Structure Modeling and Segmentation.

Degree: PhD, Electrical Engineering, 2011, Vanderbilt University

 This dissertation presents studies on, and from, the development of algorithms for the automatic segmentation of the structures of the ear. Many otological procedures would… (more)

Subjects/Keywords: Dijkstra's algorithm; model-based segmentation; atlas-based segmentation; optimal path; temporal bone; tubular segmentation

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APA (6th Edition):

Noble, J. H. (2011). Automatic Identification of the Structures of the Ear and a New Approach for Tubular Structure Modeling and Segmentation. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12142

Chicago Manual of Style (16th Edition):

Noble, Jack Henry. “Automatic Identification of the Structures of the Ear and a New Approach for Tubular Structure Modeling and Segmentation.” 2011. Doctoral Dissertation, Vanderbilt University. Accessed November 28, 2020. http://hdl.handle.net/1803/12142.

MLA Handbook (7th Edition):

Noble, Jack Henry. “Automatic Identification of the Structures of the Ear and a New Approach for Tubular Structure Modeling and Segmentation.” 2011. Web. 28 Nov 2020.

Vancouver:

Noble JH. Automatic Identification of the Structures of the Ear and a New Approach for Tubular Structure Modeling and Segmentation. [Internet] [Doctoral dissertation]. Vanderbilt University; 2011. [cited 2020 Nov 28]. Available from: http://hdl.handle.net/1803/12142.

Council of Science Editors:

Noble JH. Automatic Identification of the Structures of the Ear and a New Approach for Tubular Structure Modeling and Segmentation. [Doctoral Dissertation]. Vanderbilt University; 2011. Available from: http://hdl.handle.net/1803/12142


Vanderbilt University

4. Kratchman, Louis Beryl. Image-Guided Targeting and Control of Implantable Electrodes.

Degree: PhD, Mechanical Engineering, 2015, Vanderbilt University

 Implantable electrodes are used to diagnose and treat a growing list of conditions, including deafness, chronic pain, and neurodegenerative disorders. This dissertation introduces robotic methods… (more)

Subjects/Keywords: deep brain stimulation surgery; magnetic manipulation; magnetic guidance.; image-guided surgery; Stereotactic devices; cochlear implantation surgery

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APA (6th Edition):

Kratchman, L. B. (2015). Image-Guided Targeting and Control of Implantable Electrodes. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/11785

Chicago Manual of Style (16th Edition):

Kratchman, Louis Beryl. “Image-Guided Targeting and Control of Implantable Electrodes.” 2015. Doctoral Dissertation, Vanderbilt University. Accessed November 28, 2020. http://hdl.handle.net/1803/11785.

MLA Handbook (7th Edition):

Kratchman, Louis Beryl. “Image-Guided Targeting and Control of Implantable Electrodes.” 2015. Web. 28 Nov 2020.

Vancouver:

Kratchman LB. Image-Guided Targeting and Control of Implantable Electrodes. [Internet] [Doctoral dissertation]. Vanderbilt University; 2015. [cited 2020 Nov 28]. Available from: http://hdl.handle.net/1803/11785.

Council of Science Editors:

Kratchman LB. Image-Guided Targeting and Control of Implantable Electrodes. [Doctoral Dissertation]. Vanderbilt University; 2015. Available from: http://hdl.handle.net/1803/11785


Vanderbilt University

5. Cakir, Ahmet. Use of patient-specific models for computer-assisted cochlear implant programming.

Degree: PhD, Computer Science, 2019, Vanderbilt University

 Sensorineural hearing loss affects over 10% of the U.S. population and is most commonly caused by damage to the hair cells that transduce sound into… (more)

Subjects/Keywords: computational models; neural activation; cochlear implant programming; Cochlear

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APA (6th Edition):

Cakir, A. (2019). Use of patient-specific models for computer-assisted cochlear implant programming. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12955

Chicago Manual of Style (16th Edition):

Cakir, Ahmet. “Use of patient-specific models for computer-assisted cochlear implant programming.” 2019. Doctoral Dissertation, Vanderbilt University. Accessed November 28, 2020. http://hdl.handle.net/1803/12955.

MLA Handbook (7th Edition):

Cakir, Ahmet. “Use of patient-specific models for computer-assisted cochlear implant programming.” 2019. Web. 28 Nov 2020.

Vancouver:

Cakir A. Use of patient-specific models for computer-assisted cochlear implant programming. [Internet] [Doctoral dissertation]. Vanderbilt University; 2019. [cited 2020 Nov 28]. Available from: http://hdl.handle.net/1803/12955.

Council of Science Editors:

Cakir A. Use of patient-specific models for computer-assisted cochlear implant programming. [Doctoral Dissertation]. Vanderbilt University; 2019. Available from: http://hdl.handle.net/1803/12955


Vanderbilt University

6. Zhang, Dongqing. MACHINE LEARNING-BASED TECHNIQUES FOR AUTOMATING IMAGE-GUIDED COCHLEAR IMPLANT PROGRAMMING.

Degree: PhD, Electrical Engineering, 2019, Vanderbilt University

 Cochlear Implants (CIs) are neural prosthetics that are used to treat patients with profound hearing loss. In surgery, an electrode array is threaded into the… (more)

Subjects/Keywords: Cochlear implants; Machine learning

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

APA (6th Edition):

Zhang, D. (2019). MACHINE LEARNING-BASED TECHNIQUES FOR AUTOMATING IMAGE-GUIDED COCHLEAR IMPLANT PROGRAMMING. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/10803

Chicago Manual of Style (16th Edition):

Zhang, Dongqing. “MACHINE LEARNING-BASED TECHNIQUES FOR AUTOMATING IMAGE-GUIDED COCHLEAR IMPLANT PROGRAMMING.” 2019. Doctoral Dissertation, Vanderbilt University. Accessed November 28, 2020. http://hdl.handle.net/1803/10803.

MLA Handbook (7th Edition):

Zhang, Dongqing. “MACHINE LEARNING-BASED TECHNIQUES FOR AUTOMATING IMAGE-GUIDED COCHLEAR IMPLANT PROGRAMMING.” 2019. Web. 28 Nov 2020.

Vancouver:

Zhang D. MACHINE LEARNING-BASED TECHNIQUES FOR AUTOMATING IMAGE-GUIDED COCHLEAR IMPLANT PROGRAMMING. [Internet] [Doctoral dissertation]. Vanderbilt University; 2019. [cited 2020 Nov 28]. Available from: http://hdl.handle.net/1803/10803.

Council of Science Editors:

Zhang D. MACHINE LEARNING-BASED TECHNIQUES FOR AUTOMATING IMAGE-GUIDED COCHLEAR IMPLANT PROGRAMMING. [Doctoral Dissertation]. Vanderbilt University; 2019. Available from: http://hdl.handle.net/1803/10803


Vanderbilt University

7. Zhao, Yiyuan. Automatic techniques for cochlear implant CT image analysis.

Degree: PhD, Electrical Engineering, 2018, Vanderbilt University

 Cochlear Implants (CIs) are neural prosthetic devices that provide a sense of sound to people who experience severe to profound hearing loss. Recent studies have… (more)

Subjects/Keywords: validation; automation; image guided intervention; segmentation; cochlear implant; medical image processing

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APA (6th Edition):

Zhao, Y. (2018). Automatic techniques for cochlear implant CT image analysis. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/15411

Chicago Manual of Style (16th Edition):

Zhao, Yiyuan. “Automatic techniques for cochlear implant CT image analysis.” 2018. Doctoral Dissertation, Vanderbilt University. Accessed November 28, 2020. http://hdl.handle.net/1803/15411.

MLA Handbook (7th Edition):

Zhao, Yiyuan. “Automatic techniques for cochlear implant CT image analysis.” 2018. Web. 28 Nov 2020.

Vancouver:

Zhao Y. Automatic techniques for cochlear implant CT image analysis. [Internet] [Doctoral dissertation]. Vanderbilt University; 2018. [cited 2020 Nov 28]. Available from: http://hdl.handle.net/1803/15411.

Council of Science Editors:

Zhao Y. Automatic techniques for cochlear implant CT image analysis. [Doctoral Dissertation]. Vanderbilt University; 2018. Available from: http://hdl.handle.net/1803/15411


Vanderbilt University

8. Balachandran, Ramya. Measurement and analysis of error in rigid-body point-based registration systems.

Degree: PhD, Computer Science, 2008, Vanderbilt University

 Registration is the process of determining the geometrical transformation that aligns points in one space to corresponding points in another space. Many image-guidance surgical systems… (more)

Subjects/Keywords: virtual targets; validation; compromised marker; error distribution; fiducial registration; point-based registration

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

APA (6th Edition):

Balachandran, R. (2008). Measurement and analysis of error in rigid-body point-based registration systems. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/11684

Chicago Manual of Style (16th Edition):

Balachandran, Ramya. “Measurement and analysis of error in rigid-body point-based registration systems.” 2008. Doctoral Dissertation, Vanderbilt University. Accessed November 28, 2020. http://hdl.handle.net/1803/11684.

MLA Handbook (7th Edition):

Balachandran, Ramya. “Measurement and analysis of error in rigid-body point-based registration systems.” 2008. Web. 28 Nov 2020.

Vancouver:

Balachandran R. Measurement and analysis of error in rigid-body point-based registration systems. [Internet] [Doctoral dissertation]. Vanderbilt University; 2008. [cited 2020 Nov 28]. Available from: http://hdl.handle.net/1803/11684.

Council of Science Editors:

Balachandran R. Measurement and analysis of error in rigid-body point-based registration systems. [Doctoral Dissertation]. Vanderbilt University; 2008. Available from: http://hdl.handle.net/1803/11684

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