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- 2Punithakumar, Kumaradevan (Radiology and Diagnostic Imaging)
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An Interactive 3D Visualization Tool to Analyze the Functionality of Convolutional Neural Networks
DownloadFall 2022
Convolutional Neural Networks have outperformed traditional image processing approaches for many image classification tasks. However, despite achieving high classification accuracy on multiple datasets, these machine learning approaches are not transparent and act more like a black box. For this...
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Anisotropic Geodesic Filter for Speckle Noise Reduction and Edge Preservation in 2D and 3D Echocardiography
DownloadFall 2018
It is a challenge today for medical practitioners and manufacturers to improve ultrasound image quality as the technology has reached its physical limits. Ultrasound images are a great help for non-invasive diagnostics but suffer from a wide variety of artifacts such as shadowing, limited field...
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Fall 2015
An atlas is an anatomical representation containing all brain structures well identified in a stereotaxic space from a single subject or a population. Atlases provide information about the organization and localization of the different brain tissues. One may take advantage of this well-organized...
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Fall 2013
The current computer input devices are either direct or indirect based on how interactive input data is interpreted by a computing system. Existing research have shown the benefits and limitations of both input modalities, and found that the limits of one input mode are the advantages of the...
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Designing from Motivation: Exploring Large Scale Tagged Data Collection through Social Monetization Computing
DownloadFall 2015
With the exponential growth of web image data, image tagging is becoming crucial in many image based applications such as object recognition and content-based image retrieval. However, despite the great progress achieved in automatic recognition technologies, none has yet provided a satisfactory...
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Fall 2012
This thesis describes a practice-based methodology in which an interdisciplinary team of computer scientists and musicians create, enact, and iteratively refine a series of technologically mediated participatory performances structured to investigate HCI research questions surrounding participant...
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Fully Automated Thyroid Nodule Detection, Segmentation, and Classification in Ultrasound Images Using Deep Learning and Image Processing
DownloadFall 2021
Thyroid cancer has a high prevalence all over the world. Accurate thyroid nodule detection and diagnosis in early stages leads to effective treatment and decreases the mortality rate. However, thyroid nodule detection and assessment using ultrasound imaging is a very challenging task, even for...
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Spring 2019
Virtual Reality (VR) applications are getting progressively more popular in many disciplines. This is mainly due to (1) technological advancement in rendering images and sounds, and (2) immersive experience of VR which intensifies users' engagement leading to improved joy, sense of presence and...
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Spring 2019
Virtual Reality (VR) applications are getting progressively more popular in many disciplines. This is mainly due to (1) technological advancement in rendering images and sounds, and (2) immersive experience of VR which intensifies users' engagement leading to improved joy, sense of presence and...
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Improving Cranial Vault Remodeling for Unilateral Coronal Craniosynostosis - Introducing Automated Surgical Planning
DownloadFall 2020
Background Craniosynostosis is a condition that occurs in about one in 1000 infants. Unicoronal craniosynostosis (UCS) is a common subtype of craniosynostosis that results in an abnormal head shape, and can lead to brain growth impairment, visual problems, and psychosocial disturbance. Surgery is...