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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

May 27, 2020
Alexander Wong, Zhong Qiu Lin, Linda Wang, Audrey G. Chung, Beiyi Shen, Almas Abbasi, Mahsa Hoshmand-Kochi, Timothy Q. Duong

* 7 pages 

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

Nov 21, 2018
Xiaodan Hu, Audrey G. Chung, Paul Fieguth, Farzad Khalvati, Masoom A. Haider, Alexander Wong

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 

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

Oct 18, 2018
Zhong Qiu Lin, Audrey G. Chung, Alexander Wong

* 4 pages 

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

Feb 09, 2018
Audrey G. Chung, Paul Fieguth, Alexander Wong


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

Nov 03, 2017
Kaylen J. Pfisterer, Robert Amelard, Audrey G. Chung, Alexander Wong


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

Oct 20, 2017
Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Masoom A. Haider, Alexander Wong

* 26 pages 

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Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction

Mar 28, 2017
Devinder Kumar, Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Masoom A. Haider, Alexander Wong

* 8 pages 

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Discovery Radiomics via StochasticNet Sequencers for Cancer Detection

Nov 11, 2015
Mohammad Javad Shafiee, Audrey G. Chung, Devinder Kumar, Farzad Khalvati, Masoom Haider, Alexander Wong

* 3 pages 

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Discovery Radiomics for Multi-Parametric MRI Prostate Cancer Detection

Oct 20, 2015
Audrey G. Chung, Mohammad Javad Shafiee, Devinder Kumar, Farzad Khalvati, Masoom A. Haider, Alexander Wong

* 8 pages 

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