Statistical Textural Distinctiveness in Multi-Parametric Prostate MRI for Suspicious Region Detection. - Audrey G. Chung; Christian Scharfenberger; Farzad Khalvati; Alexander Wong; Masoom A. Haider (ICIAR, 2015)

Specular Reflectance Suppression in Endoscopic Imagery via Stochastic Bayesian Estimation. - Brendan Chwyl; Audrey G. Chung; Alexander Wong; David A. Clausi (ICIAR, 2015)

Tiger: A texture-illumination guided energy response model for illumination robust local saliency. - Brendan Chwyl; Audrey G. Chung; F. Y. Li; Alexander Wong; David A. Clausi (ICIP, 2015)

High dynamic range map estimation via fully connected random fields with stochastic cliques. - F. Y. Li; Mohammad Javad Shafiee; Audrey G. Chung; Brendan Chwyl; Farnoud Kazemzadeh; Alexander Wong; John S. Zelek (ICIP, 2015)

Improved fine structure modeling via guided stochastic clique formation in fully connected conditional random fields. - Mohammad Javad Shafiee; Audrey G. Chung; Alexander Wong; Paul W. Fieguth (ICIP, 2015)

Single-click, semi-automatic lung nodule contouring using hierarchical conditional random fields. - Shahid A. Haider; Mohammad Javad Shafiee; Audrey G. Chung; Farzad Khalvati; Anastasia Oikonomou; Alexander Wong; Masoom A. Haider (ISBI, 2015)

Prostate Cancer Detection via a Quantitative Radiomics-Driven Conditional Random Field Framework. - Audrey G. Chung; Farzad Khalvati; Mohammad Javad Shafiee; Masoom A. Haider; Alexander Wong (IEEE Access, 2015)

Discovery Radiomics for Multi-Parametric MRI Prostate Cancer Detection. - Audrey G. Chung; Mohammad Javad Shafiee; Devinder Kumar; Farzad Khalvati; Masoom A. Haider; Alexander Wong (CoRR, 2015)

Discovery Radiomics for Computed Tomography Cancer Detection. - Devinder Kumar; Mohammad Javad Shafiee; Audrey G. Chung; Farzad Khalvati; Masoom A. Haider; Alexander Wong (CoRR, 2015)

Discovery Radiomics via StochasticNet Sequencers for Cancer Detection. - Mohammad Javad Shafiee; Audrey G. Chung; Devinder Kumar; Farzad Khalvati; Masoom A. Haider; Alexander Wong (CoRR, 2015)

Image Restoration via Deep-Structured Stochastically Fully-Connected Conditional Random Fields (DSFCRFs) for Very Low-Light Conditions. - Audrey G. Chung; Mohammad Javad Shafiee; Alexander Wong (CRV, 2016)

Time-Frequency Domain Analysis via Pulselets for Non-contact Heart Rate Estimation from Remotely Acquired Photoplethysmograms. - Brendan Chwyl; Audrey G. Chung; Robert Amelard; Jason Deglint; David A. Clausi; Alexander Wong (CRV, 2016)

TIGGER: A Texture-Illumination Guided Global Energy Response Model for Illumination Robust Object Saliency. - Sara Greenberg; Audrey G. Chung; Brendan Chwyl; Alexander Wong (CRV, 2016)

Random feature maps via a Layered Random Projection (LARP) framework for object classification. - Audrey G. Chung; Mohammad Javad Shafiee; Alexander Wong (ICIP, 2016)

SAPPHIRE: Stochastically acquired photoplethysmogram for heart rate inference in realistic environments. - Brendan Chwyl; Audrey G. Chung; Robert Amelard; Jason Deglint; David A. Clausi; Alexander Wong (ICIP, 2016)

Salient Region Detection Using Self-Guided Statistical Non-Redundancy in Natural Images. - Christian Scharfenberger; Audrey G. Chung; Alexander Wong; David A. Clausi (IEEE Access, 2016)

DeepPredict: A deep predictive intelligence platform for patient monitoring. - Brendan Chwyl; Audrey G. Chung; Mohammad Javad Shafiee; Yongji Fu; Alexander Wong (EMBC, 2017)

The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations Through Sexual Evolutionary Synthesis. - Audrey G. Chung; Mohammad Javad Shafiee; Paul W. Fieguth; Alexander Wong (ICCV Workshops, 2017)

Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification. - Amir-Hossein Karimi; Audrey G. Chung; Mohammad Javad Shafiee; Farzad Khalvati; Masoom A. Haider; Ali Ghodsi 001; Alexander Wong (ICIAR, 2017)

Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction. - Devinder Kumar; Audrey G. Chung; Mohammad Javad Shafiee; Farzad Khalvati; Masoom A. Haider; Alexander Wong (ICIAR, 2017)

A new take on measuring nutritional density: The feasibility of using a deep neural network to assess commercially-prepared puree concentrations. - Kaylen J. Pfisterer; Robert Amelard; Audrey G. Chung; Alexander Wong (CoRR, 2017)

Discovery Radiomics via Evolutionary Deep Radiomic Sequencer Discovery for Pathologically-Proven Lung Cancer Detection. - Mohammad Javad Shafiee; Audrey G. Chung; Farzad Khalvati; Masoom A. Haider; Alexander Wong (CoRR, 2017)

Nature vs. Nurture: The Role of Environmental Resources in Evolutionary Deep Intelligence. - Audrey G. Chung; Paul W. Fieguth; Alexander Wong (CRV, 2018)

MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection. - Farzad Khalvati; Junjie Zhang 005; Audrey G. Chung; Mohammad Javad Shafiee; Alexander Wong; Masoom A. Haider (BMC Medical Imaging, 2018)

EdgeSpeechNets: Highly Efficient Deep Neural Networks for Speech Recognition on the Edge. - Zhong Qiu Lin; Audrey G. Chung; Alexander Wong (CoRR, 2018)

ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks. - Xiaodan Hu; Audrey G. Chung; Paul W. Fieguth; Farzad Khalvati; Masoom A. Haider; Alexander Wong (CoRR, 2018)

Mitigating Architectural Mismatch During the Evolutionary Synthesis of Deep Neural Networks. - Audrey G. Chung; Paul W. Fieguth; Alexander Wong (CoRR, 2018)

Assessing Architectural Similarity in Populations of Deep Neural Networks. - Audrey G. Chung; Paul W. Fieguth; Alexander Wong (CVPR Workshops, 2019)

Fully-Automatic Semantic Segmentation for Food Intake Tracking in Long-Term Care Homes. - Kaylen J. Pfisterer; Robert Amelard; Audrey G. Chung; Braeden Syrnyk; Alexander MacLean; Alexander Wong (CoRR, 2019)

Towards computer-aided severity assessment: training and validation of deep neural networks for geographic extent and opacity extent scoring of chest X-rays for SARS-CoV-2 lung disease severity. - Alexander Wong; Zhong Qiu Lin; Linda Wang; Audrey G. Chung; Beiyi Shen; Almas Abbasi; Mahsa Hoshmand-Kochi; Timothy Q. Duong (CoRR, 2020)

Highly Efficient Deep Intelligence via Multi-Parent Evolutionary Synthesis of Deep Neural Networks. - Audrey G. Chung (2020)

COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow. - Audrey G. Chung; Maya Pavlova; Hayden Gunraj; Naomi Terhljan; Alexander MacLean; Hossein Aboutalebi; Siddharth Surana; Andy Zhao; Saad Abbasi; Alexander Wong (CCECE, 2021)

COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images. - Maya Pavlova; Naomi Terhljan; Audrey G. Chung; Andy Zhao; Siddharth Surana; Hossein Aboutalebi; Hayden Gunraj; Ali Sabri; Amer Alaref; Alexander Wong (CoRR, 2021)

COVID-Net Clinical ICU: Enhanced Prediction of ICU Admission for COVID-19 Patients via Explainability and Trust Quantification. - Audrey G. Chung; Mahmoud Famouri; Andrew Hryniowski; Alexander Wong (CoRR, 2021)

Enhancing Food Intake Tracking in Long-Term Care with Automated Food Imaging and Nutrient Intake Tracking (AFINI-T) Technology. - Kaylen J. Pfisterer; Robert Amelard; Jennifer Boger; Audrey G. Chung; Heather H. Keller; Alexander Wong (CoRR, 2021)

DVQI: A Multi-task, Hardware-integrated Artificial Intelligence System for Automated Visual Inspection in Electronics Manufacturing. - Audrey G. Chung; Francis Li; Jeremy Ward; Andrew Hryniowski; Alexander Wong (CoRR, 2023)