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Skip to Search Results- 25Visualization
- 10Medical Imaging
- 4Simulations
- 2Computer Vision
- 2Convolutional Neural Networks
- 2Course
- 1Ali, Mostafa A A
- 1Arango Moreno, Camilo
- 1Athar, Khan S
- 1Barber, Quinn
- 1Baugh, Aaron R
- 1Beeger, Jennifer.
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Fall 2017
For cancer research, a powerful imaging modality for both preclinical (where the focus is on imaging small animals) and clinical (where the focus is on imaging human subjects) applications should be inexpensive, portable, noninvasive, safe, and capable of measuring a myriad of information....
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Enhancing space modeling and mobile resources planning in construction operations through a simulation driven visualization framework
DownloadFall 2011
Simulation modeling is a strong tool that has not been utilized to its expected potential in day to day construction industry activities. One of the reasons contributing to that is the inability of simulation models to depict changes in site space in an intuitive way. This research tries to...
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Fall 2016
Accurate information is the foundation of correct clinical diagnoses. Physicians are increasingly relying on new devices and tools to improve the quality of information used in their decision making. Wrong, misleading, or hard to interpret data can prevent patients from receiving proper...
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Estimating Diffusion Coefficients And Visualizing Interactions In Propane-Heavy Oil Systems
DownloadSpring 2019
Unconventional oil (mainly heavy oil, extra heavy oil and bitumen) represents a significant share of global oil reserves. Due to their high viscosity, efficient recovery of oil from these reserves is challenging and remains an issue of ongoing global research. Thermal recovery methods are...
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Extending Differentiable Programming to include Non-differentiable Modules using Differentiable Bypass for Combining Convolutional Neural Networks and Dynamic Programming into an End-to-end Trainable Framework
DownloadSpring 2019
Differentiable Programming is the paradigm where different functions or modules are combined into a unified pipeline with the purpose of applying end-to-end learning or optimization. A natural impediment is the non-differentiability characteristic of many modules. This thesis proposes a new way...
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Extracting and Integrating Industrial Construction Steel Trade Data in ill-formed BIM Models
DownloadFall 2017
Oil and gas are known for their huge-size and complex projects that consist of multiple trades’ subprojects such as concrete, steel, and piping. These subprojects are executed within a confined area during a limited time frame. This requires careful planning and coordination between these...
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Image Registration with Homography: A Refresher with Differentiable Mutual Information, Ordinary Differential Equation and Complex Matrix Exponential
DownloadFall 2020
This work presents a novel method of tackling the task of image registration. Our algorithm uses a differentiable form of Mutual Information implemented via a neural network called MINE. An important property of neural networks is them being differentiable, which allows them to be used as a loss...
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Fall 2018
Mohammadhosseinzadehgolabchi, Alireza
As the construction industry is prone to various hazards, its rate of injuries and fatalities are among the highest. As a result, health and safety has emerged as a crucial aspect of any construction project. Among occupational injuries, Work-related Musculoskeletal Disorders (WMSDs) are reported...
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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...