Audrey G. Chung
According to our database1,
Audrey G. Chung
authored at least 36 papers
between 2015 and 2023.
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Bibliography
2023
DVQI: A Multi-task, Hardware-integrated Artificial Intelligence System for Automated Visual Inspection in Electronics Manufacturing.
CoRR, 2023
2021
Enhancing Food Intake Tracking in Long-Term Care with Automated Food Imaging and Nutrient Intake Tracking (AFINI-T) Technology.
CoRR, 2021
COVID-Net Clinical ICU: Enhanced Prediction of ICU Admission for COVID-19 Patients via Explainability and Trust Quantification.
CoRR, 2021
COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images.
CoRR, 2021
Proceedings of the 34th IEEE Canadian Conference on Electrical and Computer Engineering, 2021
2020
Highly Efficient Deep Intelligence via Multi-Parent Evolutionary Synthesis of Deep Neural Networks.
PhD thesis, 2020
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
2019
Fully-Automatic Semantic Segmentation for Food Intake Tracking in Long-Term Care Homes.
CoRR, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
2018
Mitigating Architectural Mismatch During the Evolutionary Synthesis of Deep Neural Networks.
CoRR, 2018
ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks.
CoRR, 2018
EdgeSpeechNets: Highly Efficient Deep Neural Networks for Speech Recognition on the Edge.
CoRR, 2018
MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection.
BMC Medical Imaging, 2018
Nature vs. Nurture: The Role of Environmental Resources in Evolutionary Deep Intelligence.
Proceedings of the 15th Conference on Computer and Robot Vision, 2018
2017
Discovery Radiomics via Evolutionary Deep Radiomic Sequencer Discovery for Pathologically-Proven Lung Cancer Detection.
CoRR, 2017
A new take on measuring nutritional density: The feasibility of using a deep neural network to assess commercially-prepared puree concentrations.
CoRR, 2017
Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction.
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017
Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification.
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017
The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations Through Sexual Evolutionary Synthesis.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2016
Salient Region Detection Using Self-Guided Statistical Non-Redundancy in Natural Images.
IEEE Access, 2016
SAPPHIRE: Stochastically acquired photoplethysmogram for heart rate inference in realistic environments.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Random feature maps via a Layered Random Projection (LARP) framework for object classification.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
TIGGER: A Texture-Illumination Guided Global Energy Response Model for Illumination Robust Object Saliency.
Proceedings of the 13th Conference on Computer and Robot Vision, 2016
Time-Frequency Domain Analysis via Pulselets for Non-contact Heart Rate Estimation from Remotely Acquired Photoplethysmograms.
Proceedings of the 13th Conference on Computer and Robot Vision, 2016
Image Restoration via Deep-Structured Stochastically Fully-Connected Conditional Random Fields (DSFCRFs) for Very Low-Light Conditions.
Proceedings of the 13th Conference on Computer and Robot Vision, 2016
2015
Prostate Cancer Detection via a Quantitative Radiomics-Driven Conditional Random Field Framework.
IEEE Access, 2015
Single-click, semi-automatic lung nodule contouring using hierarchical conditional random fields.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Improved fine structure modeling via guided stochastic clique formation in fully connected conditional random fields.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
High dynamic range map estimation via fully connected random fields with stochastic cliques.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Tiger: A texture-illumination guided energy response model for illumination robust local saliency.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Specular Reflectance Suppression in Endoscopic Imagery via Stochastic Bayesian Estimation.
Proceedings of the Image Analysis and Recognition - 12th International Conference, 2015
Statistical Textural Distinctiveness in Multi-Parametric Prostate MRI for Suspicious Region Detection.
Proceedings of the Image Analysis and Recognition - 12th International Conference, 2015