Picture for Audrey G. Chung

Audrey G. Chung

Enhancing Food Intake Tracking in Long-Term Care with Automated Food Imaging and Nutrient Intake Tracking Technology

Add code
Dec 08, 2021
Figure 1 for Enhancing Food Intake Tracking in Long-Term Care with Automated Food Imaging and Nutrient Intake Tracking  Technology
Figure 2 for Enhancing Food Intake Tracking in Long-Term Care with Automated Food Imaging and Nutrient Intake Tracking  Technology
Figure 3 for Enhancing Food Intake Tracking in Long-Term Care with Automated Food Imaging and Nutrient Intake Tracking  Technology
Figure 4 for Enhancing Food Intake Tracking in Long-Term Care with Automated Food Imaging and Nutrient Intake Tracking  Technology
Viaarxiv icon

COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow

Add code
Sep 14, 2021
Figure 1 for COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow
Figure 2 for COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow
Viaarxiv icon

COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images

Add code
May 14, 2021
Figure 1 for COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images
Figure 2 for COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images
Figure 3 for COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images
Figure 4 for COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images
Viaarxiv icon

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

Add code
May 27, 2020
Figure 1 for 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
Figure 2 for 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
Viaarxiv icon

ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks

Add code
Nov 21, 2018
Figure 1 for ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks
Figure 2 for ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks
Figure 3 for ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks
Viaarxiv icon

EdgeSpeechNets: Highly Efficient Deep Neural Networks for Speech Recognition on the Edge

Add code
Oct 18, 2018
Figure 1 for EdgeSpeechNets: Highly Efficient Deep Neural Networks for Speech Recognition on the Edge
Figure 2 for EdgeSpeechNets: Highly Efficient Deep Neural Networks for Speech Recognition on the Edge
Figure 3 for EdgeSpeechNets: Highly Efficient Deep Neural Networks for Speech Recognition on the Edge
Viaarxiv icon

Nature vs. Nurture: The Role of Environmental Resources in Evolutionary Deep Intelligence

Add code
Feb 09, 2018
Figure 1 for Nature vs. Nurture: The Role of Environmental Resources in Evolutionary Deep Intelligence
Figure 2 for Nature vs. Nurture: The Role of Environmental Resources in Evolutionary Deep Intelligence
Figure 3 for Nature vs. Nurture: The Role of Environmental Resources in Evolutionary Deep Intelligence
Figure 4 for Nature vs. Nurture: The Role of Environmental Resources in Evolutionary Deep Intelligence
Viaarxiv icon

A new take on measuring relative nutritional density: The feasibility of using a deep neural network to assess commercially-prepared pureed food concentrations

Add code
Nov 03, 2017
Figure 1 for A new take on measuring relative nutritional density: The feasibility of using a deep neural network to assess commercially-prepared pureed food concentrations
Figure 2 for A new take on measuring relative nutritional density: The feasibility of using a deep neural network to assess commercially-prepared pureed food concentrations
Figure 3 for A new take on measuring relative nutritional density: The feasibility of using a deep neural network to assess commercially-prepared pureed food concentrations
Figure 4 for A new take on measuring relative nutritional density: The feasibility of using a deep neural network to assess commercially-prepared pureed food concentrations
Viaarxiv icon

Discovery Radiomics via Evolutionary Deep Radiomic Sequencer Discovery for Pathologically-Proven Lung Cancer Detection

Add code
Oct 20, 2017
Viaarxiv icon

Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction

Add code
Mar 28, 2017
Figure 1 for Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction
Figure 2 for Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction
Figure 3 for Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction
Figure 4 for Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction
Viaarxiv icon