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OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection

Sensors (Basel, Switzerland), 2021-07, Vol.21 (14), p.4805

2021

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COVID-Net L2C-ULTRA: An Explainable Linear-Convex Ultrasound Augmentation Learning Framework to Improve COVID-19 Assessment and Monitoring

Sensors (Basel, Switzerland), 2024-03, Vol.24 (5), p.1664

2024

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COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound

Sensors (Basel, Switzerland), 2023-02, Vol.23 (5), p.2621

2023

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Hallway Gait Monitoring Using Novel Radar Signal Processing and Unsupervised Learning

IEEE sensors journal, 2022-08, Vol.22 (15), p.15133-15145

2022

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Automatic Radar-Based Step Length Measurement in the Home for Older Adults Living with Frailty

Sensors (Basel, Switzerland), 2024-02, Vol.24 (4), p.1056

2024

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ARRSI: Automatic Registration of Remote-Sensing Images

IEEE transactions on geoscience and remote sensing, 2007-05, Vol.45 (5), p.1483-1493

2007

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IEEE_Xplore

Hallway Gait Monitoring System Using an In-Package Integrated Dielectric Lens Paired with a mm-Wave Radar

Sensors (Basel, Switzerland), 2022-12, Vol.23 (1), p.71

2022

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EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation Using Accelerated Neuroevolution With Weight Transfer

IEEE access, 2021, Vol.9, p.139403-139414

2021

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Self-Supervised Pretraining Improves Performance and Inference Efficiency in Multiple Lung Ultrasound Interpretation Tasks

IEEE access, 2023, Vol.11, p.135696-135707

2023

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Towards Building a Trustworthy Deep Learning Framework for Medical Image Analysis

Sensors (Basel, Switzerland), 2023-09, Vol.23 (19), p.8122

2023

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GenSynth: a generative synthesis approach to learning generative machines for generate efficient neural networks

Electronics letters, 2019-09, Vol.55 (18), p.986-989

2019

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Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning

IEEE access, 2023, Vol.11, p.42796-42808

2023

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A Novel System for Ocular Surface Temperature Measurement and Tracking

IEEE access, 2023, Vol.11, p.140893-140899

2023

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Radiomics Driven Diffusion Weighted Imaging Sensing Strategies for Zone-Level Prostate Cancer Sensing

Sensors (Basel, Switzerland), 2020-03, Vol.20 (5), p.1539

2020

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Knowing is Half the Battle: Enhancing Clean Data Accuracy of Adversarial Robust Deep Neural Networks via Dual-Model Bounded Divergence Gating

IEEE access, 2024, Vol.12, p.48174-48188

2024

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Discovery Radiomics With CLEAR-DR: Interpretable Computer Aided Diagnosis of Diabetic Retinopathy

IEEE access, 2019, Vol.7, p.25891-25896

2019

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A Bayesian Deep Image Prior Downscaling Approach for High-Resolution Soil Moisture Estimation

IEEE journal of selected topics in applied earth observations and remote sensing, 2022, Vol.15, p.4571-4582

2022

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A Deep Learning Approach for Multi-Depth Soil Water Content Prediction in Summer Maize Growth Period

IEEE access, 2020, Vol.8, p.199097-199110

2020

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The Feasibility of Automated Identification of Six Algae Types Using Feed-Forward Neural Networks and Fluorescence-Based Spectral-Morphological Features

IEEE access, 2019, Vol.7, p.7041-7053

2019

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Despeckling of Synthetic Aperture Radar Images Using Monte Carlo Texture Likelihood Sampling

IEEE transactions on geoscience and remote sensing, 2014-02, Vol.52 (2), p.1238-1248

2014

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IEEE_Xplore

Hyperspectral Image Denoising Using a Spatial-Spectral Monte Carlo Sampling Approach

IEEE journal of selected topics in applied earth observations and remote sensing, 2015-06, Vol.8 (6), p.3025-3038

2015

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SISC: End-to-end Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells

IEEE access, 2019-01, Vol.7, p.1-1

2019

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Simultaneous Projector-Camera Self-Calibration for Three-Dimensional Reconstruction and Projection Mapping

IEEE transactions on computational imaging, 2017-03, Vol.3 (1), p.74-83

2017

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IEEE_Xplore

A Bayesian Residual Transform for Signal Processing

IEEE access, 2015-01, Vol.3, p.709-717

2015

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Prostate Cancer Detection via a Quantitative Radiomics-Driven Conditional Random Field Framework

IEEE access, 2015-01, Vol.3, p.2531-2541

2015

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OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection

COVID-Net L2C-ULTRA: An Explainable Linear-Convex Ultrasound Augmentation Learning Framework to Improve COVID-19 Assessment and Monitoring

COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound

Hallway Gait Monitoring Using Novel Radar Signal Processing and Unsupervised Learning

Automatic Radar-Based Step Length Measurement in the Home for Older Adults Living with Frailty

ARRSI: Automatic Registration of Remote-Sensing Images

Hallway Gait Monitoring System Using an In-Package Integrated Dielectric Lens Paired with a mm-Wave Radar

EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation Using Accelerated Neuroevolution With Weight Transfer

Self-Supervised Pretraining Improves Performance and Inference Efficiency in Multiple Lung Ultrasound Interpretation Tasks

Towards Building a Trustworthy Deep Learning Framework for Medical Image Analysis

GenSynth: a generative synthesis approach to learning generative machines for generate efficient neural networks

Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning

A Novel System for Ocular Surface Temperature Measurement and Tracking

Radiomics Driven Diffusion Weighted Imaging Sensing Strategies for Zone-Level Prostate Cancer Sensing

Knowing is Half the Battle: Enhancing Clean Data Accuracy of Adversarial Robust Deep Neural Networks via Dual-Model Bounded Divergence Gating

Discovery Radiomics With CLEAR-DR: Interpretable Computer Aided Diagnosis of Diabetic Retinopathy

A Bayesian Deep Image Prior Downscaling Approach for High-Resolution Soil Moisture Estimation

A Deep Learning Approach for Multi-Depth Soil Water Content Prediction in Summer Maize Growth Period

The Feasibility of Automated Identification of Six Algae Types Using Feed-Forward Neural Networks and Fluorescence-Based Spectral-Morphological Features

Despeckling of Synthetic Aperture Radar Images Using Monte Carlo Texture Likelihood Sampling

Hyperspectral Image Denoising Using a Spatial-Spectral Monte Carlo Sampling Approach

SISC: End-to-end Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells

Simultaneous Projector-Camera Self-Calibration for Three-Dimensional Reconstruction and Projection Mapping

A Bayesian Residual Transform for Signal Processing

Prostate Cancer Detection via a Quantitative Radiomics-Driven Conditional Random Field Framework

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