Browsing University of Waterloo by Supervisor "Wong, Alexander"
Now showing items 1-20 of 45
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Advancements in ThermOcular image processing algorithms for precise ocular surface temperature analysis
(University of Waterloo, 2024-05-22)In recent advancements in the field of Ocular Surface Temperature (OST) measurement, this thesis presents significant enhancements to the ThermOcular system, primarily focusing on its application in real-world clinical and ... -
An Analysis Framework for the Quantization-Aware Design of Efficient, Low-Power Convolutional Neural Networks
(University of Waterloo, 2022-04-29)Deep convolutional neural network (CNN) algorithms have emerged as a powerful tool for many computer vision tasks such as image classification, object detection, and semantic segmentation. However, these algorithms are ... -
Automatic Identification of Algae using Low-cost Multispectral Fluorescence Digital Microscopy, Hierarchical Classification & Deep Learning
(University of Waterloo, 2019-12-05)Harmful algae blooms (HABs) can produce lethal toxins and are a rising global concern. In response to this threat, many organizations are monitoring algae populations to determine if a water body might be contaminated. ... -
Class Based Strategies for Understanding Neural Networks
(University of Waterloo, 2020-02-07)One of the main challenges for broad adoption of deep learning based models such as Convolutional Neural Networks (CNN), is the lack of understanding of their decisions. In many applications, a simpler, less capable model ... -
Collaborative design and feasibility assessment of computational nutrient sensing for simulated food-intake tracking in a healthcare environment
(University of Waterloo, 2021-11-19)One in four older adults (65 years and over) are living with some form of malnutrition. This increases their odds of hospitalization four-fold and is associated with decreased quality of life and increased mortality. In ... -
Compensated Row-Column Ultrasound Imaging System
(University of Waterloo, 2020-03-12)Ultrasound imaging is a valuable tool in many applications ranging from material science to medical imaging. While 2-D ultrasound imaging is more commonly used, 3-D ultrasound imaging offers unique opportunities that can ... -
Comprehensive Framework for Computer-Aided Prostate Cancer Detection in Multi-Parametric MRI
(University of Waterloo, 2016-08-30)Prostate cancer is the most diagnosed form of cancer and one of the leading causes of cancer death in men, but survival rates are relatively high with sufficiently early diagnosis. The current clinical model for initial ... -
Computational Depth from Defocus via Active Quasi-random Pattern Projections
(University of Waterloo, 2018-08-22)Depth information is one of the most fundamental cues in interpreting the geometric relationship of objects. It enables machines and robots to perceive the world in 3D and allows them to understand the environment far ... -
Computational Polarimetry: A Bayesian Framework for Polarimetric System Design
(University of Waterloo, 2019-09-10)In this thesis, we propose a novel polarimetric system design framework that computationally evaluates a design to solve an optical problem. It does this by explicitly formulating the logical connections and dependencies ... -
A Content Enhancement Framework for Multi-Projector Systems
(University of Waterloo, 2018-09-04)Projectors are a convenient technology for displaying content on large, abnormal, or temporary surfaces where mounting other forms of light emitting devices is too impractical or too expensive. Common uses of projectors ... -
Contour Integration in Artifical Neural Networks
(University of Waterloo, 2022-02-08)Under difficult viewing conditions, the brain's visual system uses a variety of modulatory techniques to supplement its core feedforward signal. One such technique is contour integration, whereby contextual stimuli from ... -
Dermal Radiomics: a new approach for computer-aided melanoma screening system
(University of Waterloo, 2016-08-19)Skin cancer is the most common form of cancer in North America, and melanoma is the most dangerous type of skin cancer. Melanoma originates from melanocytes in the epidermis and has a high tendency to develop away from the ... -
Efficient Deep Learning-Driven Systems for Real-Time Video Expression Recognition
(University of Waterloo, 2021-01-18)The ability to detect, recognize, and interpret facial expressions is an important skill for humans to have due to the abundance of social interactions one faces on a daily basis, but it is also something that most take ... -
Enhancing Clinical Support for Breast Cancer with Deep Learning Models using Optimized Synthetic Correlated Diffusion Imaging
(University of Waterloo, 2024-04-17)Breast cancer is the second most common type of cancer in women in Canada and the United States, representing over 25% of all new female cancer cases. The prevalence of breast cancer continues to grow, affecting about ... -
Evaluating the Usefulness of Synthetic Data in Healthcare: Applications in Predictive Modeling and Privacy Protection
(University of Waterloo, 2024-04-24)The advent of data-driven approaches in healthcare has opened new horizons for patient care, disease management, and medical research. However, one of the significant challenges is the availability of large-scale, high-quality ... -
Exploring New Forms of Random Projections for Prediction and Dimensionality Reduction in Big-Data Regimes
(University of Waterloo, 2018-05-01)The story of this work is dimensionality reduction. Dimensionality reduction is a method that takes as input a point-set P of n points in R^d where d is typically large and attempts to find a lower-dimensional representation ... -
Fair Compression of Machine Learning Vision Systems
(University of Waterloo, 2023-09-01)Model pruning is a simple and effective method for compressing neural networks. By identifying and removing the least influential parameters of a model, pruning is able to transform networks into smaller, faster networks ... -
Highly Efficient Deep Intelligence via Multi-Parent Evolutionary Synthesis of Deep Neural Networks
(University of Waterloo, 2020-02-11)Machine learning methods, and particularly deep neural networks, are a rapidly growing field and are currently being employed in domains such as science, business, and government. However, the significant success of neural ... -
Hockey Pose Estimation and Action Recognition using Convolutional Neural Networks to Ice Hockey
(University of Waterloo, 2018-09-19)Human pose estimation and action recognition in ice hockey are one of the biggest challenges in computer vision-driven sports analytics, with a variety of difficulties such as bulky hockey wear, color similarity between ... -
Implementing Fairness in Real-World Healthcare Machine Learning through Datasheet for Database
(University of Waterloo, 2024-05-28)Healthcare Machine Learning (HML) models are revolutionizing the healthcare industry, promising improved patient outcomes and enhanced public health. However, it is essential to ensure fairness, i.e., models delivering ...