Audrey G. Chung

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 30

Top Topics

Feature Representations

Computed Tomography

Cancer Detection

Top Venues

Publications

Audrey G. Chung, Francis Li, Jeremy Ward, Andrew Hryniowski, Alexander Wong
DVQI: A Multi-task, Hardware-integrated Artificial Intelligence System for Automated Visual Inspection in Electronics Manufacturing. CoRR (2023)
Audrey G. Chung, Maya Pavlova, Hayden Gunraj, Naomi Terhljan, Alexander MacLean, Hossein Aboutalebi, Siddharth Surana, Andy Zhao, Saad Abbasi, Alexander Wong
COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow. CoRR (2021)
Kaylen J. Pfisterer, Robert Amelard, Jennifer Boger, Audrey G. Chung, Heather H. Keller, Alexander Wong
Enhancing Food Intake Tracking in Long-Term Care with Automated Food Imaging and Nutrient Intake Tracking (AFINI-T) Technology. CoRR (2021)
Maya Pavlova, Naomi Terhljan, Audrey G. Chung, Andy Zhao, Siddharth Surana, Hossein Aboutalebi, Hayden Gunraj, Ali Sabri, Amer Alaref, Alexander Wong
COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images. CoRR (2021)
Audrey G. Chung, Maya Pavlova, Hayden Gunraj, Naomi Terhljan, Alexander MacLean, Hossein Aboutalebi, Siddharth Surana, Andy Zhao, Saad Abbasi, Alexander Wong
COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow. CCECE (2021)
Audrey G. Chung, Mahmoud Famouri, Andrew Hryniowski, Alexander Wong
COVID-Net Clinical ICU: Enhanced Prediction of ICU Admission for COVID-19 Patients via Explainability and Trust Quantification. CoRR (2021)
Alexander Wong, Zhong Qiu Lin, Linda Wang, Audrey G. Chung, Beiyi Shen, Almas Abbasi, Mahsa Hoshmand-Kochi, Timothy Q. Duong
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. CoRR (2020)
Audrey G. Chung, Paul W. Fieguth, Alexander Wong
Assessing Architectural Similarity in Populations of Deep Neural Networks. CoRR (2019)
Kaylen J. Pfisterer, Robert Amelard, Audrey G. Chung, Braeden Syrnyk, Alexander MacLean, Alexander Wong
Fully-Automatic Semantic Segmentation for Food Intake Tracking in Long-Term Care Homes. CoRR (2019)
Audrey G. Chung, Paul W. Fieguth, Alexander Wong
Assessing Architectural Similarity in Populations of Deep Neural Networks. CVPR Workshops (2019)
Farzad Khalvati, Junjie Zhang, Audrey G. Chung, Mohammad Javad Shafiee, Alexander Wong, Masoom A. Haider
MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection. BMC Medical Imaging 18 (1) (2018)
Zhong Qiu Lin, Audrey G. Chung, Alexander Wong
EdgeSpeechNets: Highly Efficient Deep Neural Networks for Speech Recognition on the Edge. CoRR (2018)
Audrey G. Chung, Paul W. Fieguth, Alexander Wong
Mitigating Architectural Mismatch During the Evolutionary Synthesis of Deep Neural Networks. CoRR (2018)
Audrey G. Chung, Paul W. Fieguth, Alexander Wong
Nature vs. Nurture: The Role of Environmental Resources in Evolutionary Deep Intelligence. CoRR (2018)
Audrey G. Chung, Paul W. Fieguth, Alexander Wong
Nature vs. Nurture: The Role of Environmental Resources in Evolutionary Deep Intelligence. CRV (2018)
Xiaodan Hu, Audrey G. Chung, Paul W. Fieguth, Farzad Khalvati, Masoom A. Haider, Alexander Wong
ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks. CoRR (2018)
Devinder Kumar, Audrey G. Chung, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction. ICIAR (2017)
Brendan Chwyl, Audrey G. Chung, Mohammad Javad Shafiee, Yongji Fu, Alexander Wong
DeepPredict: A deep predictive intelligence platform for patient monitoring. EMBC (2017)
Kaylen J. Pfisterer, Robert Amelard, Audrey G. Chung, Alexander Wong
A new take on measuring nutritional density: The feasibility of using a deep neural network to assess commercially-prepared puree concentrations. CoRR (2017)
Audrey G. Chung, Mohammad Javad Shafiee, Paul W. Fieguth, Alexander Wong
The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations Through Sexual Evolutionary Synthesis. ICCV Workshops (2017)
Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Discovery Radiomics via Evolutionary Deep Radiomic Sequencer Discovery for Pathologically-Proven Lung Cancer Detection. CoRR (2017)
Amir-Hossein Karimi, Audrey G. Chung, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Ali Ghodsi, Alexander Wong
Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification. ICIAR (2017)
Audrey G. Chung, Mohammad Javad Shafiee, Paul W. Fieguth, Alexander Wong
The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations through Sexual Evolutionary Synthesis. CoRR (2017)
Sara Greenberg, Audrey G. Chung, Brendan Chwyl, Alexander Wong
TIGGER: A Texture-Illumination Guided Global Energy Response Model for Illumination Robust Object Saliency. CRV (2016)
Brendan Chwyl, Audrey G. Chung, Robert Amelard, Jason Deglint, David A. Clausi, Alexander Wong
Time-Frequency Domain Analysis via Pulselets for Non-contact Heart Rate Estimation from Remotely Acquired Photoplethysmograms. CRV (2016)
Audrey G. Chung, Mohammad Javad Shafiee, Alexander Wong
Random feature maps via a Layered Random Projection (LARP) framework for object classification. ICIP (2016)
Audrey G. Chung, Mohammad Javad Shafiee, Alexander Wong
Random Feature Maps via a Layered Random Projection (LaRP) Framework for Object Classification. CoRR (2016)
Christian Scharfenberger, Audrey G. Chung, Alexander Wong, David A. Clausi
Salient Region Detection Using Self-Guided Statistical Non-Redundancy in Natural Images. IEEE Access 4 (2016)
Brendan Chwyl, Audrey G. Chung, Robert Amelard, Jason Deglint, David A. Clausi, Alexander Wong
SAPPHIRE: Stochastically acquired photoplethysmogram for heart rate inference in realistic environments. ICIP (2016)
Audrey G. Chung, Mohammad Javad Shafiee, Alexander Wong
Image Restoration via Deep-Structured Stochastically Fully-Connected Conditional Random Fields (DSFCRFs) for Very Low-Light Conditions. CRV (2016)
Mohammad Javad Shafiee, Audrey G. Chung, Devinder Kumar, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Discovery Radiomics via StochasticNet Sequencers for Cancer Detection. CoRR (2015)
Brendan Chwyl, Audrey G. Chung, Alexander Wong, David A. Clausi
Specular Reflectance Suppression in Endoscopic Imagery via Stochastic Bayesian Estimation. ICIAR (2015)
Shahid A. Haider, Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Anastasia Oikonomou, Alexander Wong, Masoom A. Haider
Single-click, semi-automatic lung nodule contouring using hierarchical conditional random fields. ISBI (2015)
Audrey G. Chung, Christian Scharfenberger, Farzad Khalvati, Alexander Wong, Masoom A. Haider
Statistical Textural Distinctiveness in Multi-Parametric Prostate MRI for Suspicious Region Detection. ICIAR (2015)
F. Y. Li, Mohammad Javad Shafiee, Audrey G. Chung, Brendan Chwyl, Farnoud Kazemzadeh, Alexander Wong, John S. Zelek
High dynamic range map estimation via fully connected random fields with stochastic cliques. ICIP (2015)
Brendan Chwyl, Audrey G. Chung, F. Y. Li, Alexander Wong, David A. Clausi
Tiger: A texture-illumination guided energy response model for illumination robust local saliency. ICIP (2015)
Devinder Kumar, Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Discovery Radiomics for Computed Tomography Cancer Detection. CoRR (2015)
Audrey G. Chung, Farzad Khalvati, Mohammad Javad Shafiee, Masoom A. Haider, Alexander Wong
Prostate Cancer Detection via a Quantitative Radiomics-Driven Conditional Random Field Framework. IEEE Access 3 (2015)
Mohammad Javad Shafiee, Audrey G. Chung, Alexander Wong, Paul W. Fieguth
Improved fine structure modeling via guided stochastic clique formation in fully connected conditional random fields. ICIP (2015)
Audrey G. Chung, Mohammad Javad Shafiee, Devinder Kumar, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Discovery Radiomics for Multi-Parametric MRI Prostate Cancer Detection. CoRR (2015)