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12/08/2021
Enhancing Food Intake Tracking in Long-Term Care with Automated Food Imaging and Nutrient Intake Tracking (AFINI-T) Technology
Half of long-term care (LTC) residents are malnourished increasing hospi...
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09/14/2021
COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow
As the COVID-19 pandemic continues to devastate globally, one promising ...
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05/14/2021
COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images
As the COVID-19 pandemic continues to devastate globally, the use of che...
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05/26/2020
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
Background: A critical step in effective care and treatment planning for...
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10/24/2019
Fully-Automatic Semantic Segmentation for Food Intake Tracking in Long-Term Care Homes
Malnutrition impacts quality of life and places annually-recurring burde...
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11/14/2018
ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks
Generative Adversarial Networks (GANs) have shown considerable promise f...
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10/18/2018
EdgeSpeechNets: Highly Efficient Deep Neural Networks for Speech Recognition on the Edge
Despite showing state-of-the-art performance, deep learning for speech r...
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02/09/2018
Nature vs. Nurture: The Role of Environmental Resources in Evolutionary Deep Intelligence
Evolutionary deep intelligence synthesizes highly efficient deep neural ...
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07/23/2017
A new take on measuring relative nutritional density: The feasibility of using a deep neural network to assess commercially-prepared pureed food concentrations
Dysphagia affects 590 million people worldwide and increases risk for ma...
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05/10/2017
Discovery Radiomics via Evolutionary Deep Radiomic Sequencer Discovery for Pathologically-Proven Lung Cancer Detection
While lung cancer is the second most diagnosed form of cancer in men and...
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11/11/2015
Discovery Radiomics via StochasticNet Sequencers for Cancer Detection
Radiomics has proven to be a powerful prognostic tool for cancer detecti...
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09/01/2015
Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction
Lung cancer is the leading cause for cancer related deaths. As such, the...
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09/01/2015