This decommissioned ERA site remains active temporarily to support our final migration steps to https://ualberta.scholaris.ca, ERA's new home. All new collections and items, including Spring 2025 theses, are at that site. For assistance, please contact erahelp@ualberta.ca.
Theses and Dissertations
This collection contains theses and dissertations of graduate students of the University of Alberta. The collection contains a very large number of theses electronically available that were granted from 1947 to 2009, 90% of theses granted from 2009-2014, and 100% of theses granted from April 2014 to the present (as long as the theses are not under temporary embargo by agreement with the Faculty of Graduate and Postdoctoral Studies). IMPORTANT NOTE: To conduct a comprehensive search of all UofA theses granted and in University of Alberta Libraries collections, search the library catalogue at www.library.ualberta.ca - you may search by Author, Title, Keyword, or search by Department.
To retrieve all theses and dissertations associated with a specific department from the library catalogue, choose 'Advanced' and keyword search "university of alberta dept of english" OR "university of alberta department of english" (for example). Past graduates who wish to have their thesis or dissertation added to this collection can contact us at erahelp@ualberta.ca.
Items in this Collection
- 18Boulanger, Pierre (Computing Science)
- 2Punithakumar, Kumaradevan (Radiology and Diagnostic Imaging)
- 1Aalto, Daniel (Communication Sciences and Disorders)
- 1Bischof, Walter F. (Computing Science)
- 1Menon, Geetha (Oncology)
- 1Punithakumar, Kumar (Radiology, Computing Science)
- 2Abdi Oskouie, Mina
- 1Anderson, Fraser
- 1Aziz, Muhammad Usman
- 1Charmchi, Sadegh
- 1Diaz, Idanis Beatriz
- 1Fatemi Pour, Farnoosh
-
Spring 2011
Physical simulations are in general very computationally intensive and required large and costly computing resources. Most of those simulations are rarely interactive as the link between visualization, interaction, and simulation is too slow. The recent development of parallel Graphic Processing...
-
Fall 2016
Touch is one of the most important sensory inputs during the performance of surgery. However, the literature on kinesthetic and tactile feedback—both called haptic—in surgical training remain rudimentary. This rudimentary knowledge is partially due to the fact that haptic feedback is difficult to...
-
Fall 2010
It is essential for surgeons to have their skill evaluated prior to entering the oper- ating room. Most evaluation methods currently in use are subjective, relying on human judgment to assess trainees. Recently, sensors have been used to track the positions of instruments and the forces applied...
-
Fall 2018
The left ventricle segmentation is an important medical imaging task necessary to measure a patient's heart pumping efficiency. Recently, convolutional neural networks (CNN) have shown great potential in achieving state-of-the-art segmentation for such applications. However, most of the research...
-
Predicting Uterine Deformation Due to Applicator Insertion in Pre-Brachytherapy MRI Using Deep Learning
DownloadSpring 2023
In locally advanced cervical cancer (LACC), brachytherapy (BT) remains the gold standard for boosting to curative doses in radiotherapy. Progress towards balancing target and routine tissue dosimetry for better clinical outcomes has been made possible by magnetic resonance imaging (MRI)-guided...
-
Fall 2013
This thesis considers the problem of visualizing simulations of phenomenon which span large ranges of spatial scales. These datasets tend to be extremely large presenting challenges both to human comprehension and high-performance computing. The main problems considered are how to effectively...
-
Fall 2015
Free Viewpoint Video and TV is regarded as the future of digital entertainment allowing users to navigate through multiple video streams of an event to select novel viewpoints. This new capability will be able to give to the users the illusion that they are present at the event. In this thesis,...
-
Spring 2021
This thesis evaluated Convoultional LSTM (ConvLSTM) for frame prediction to help better understand motion in neural networks. Three different neural networks were implemented and trained. The three networks included, the original ConvLSTM paper by Shi et al. [35], the Spatio-Temporal network by...