Alexander Wong
Orcid: 0000-0002-5295-2797Affiliations:
- University of Waterloo, Ontario, Canada
According to our database1,
Alexander Wong
authored at least 493 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
A survey of the impact of self-supervised pretraining for diagnostic tasks in medical X-ray, CT, MRI, and ultrasound.
BMC Medical Imaging, December, 2024
COVID-Net L2C-ULTRA: An Explainable Linear-Convex Ultrasound Augmentation Learning Framework to Improve COVID-19 Assessment and Monitoring.
Sensors, March, 2024
Automatic Radar-Based Step Length Measurement in the Home for Older Adults Living with Frailty.
Sensors, February, 2024
Neural Comput., January, 2024
A 112-Gb/s Serial Link Transceiver With Three-Tap FFE and 18-Tap DFE Receiver for up to 43-dB Insertion Loss Channel in 7-nm FinFET Technology.
IEEE J. Solid State Circuits, January, 2024
NutritionVerse-Real: An Open Access Manually Collected 2D Food Scene Dataset for Dietary Intake Estimation.
CoRR, 2024
Knowing is Half the Battle: Enhancing Clean Data Accuracy of Adversarial Robust Deep Neural Networks via Dual-Model Bounded Divergence Gating.
IEEE Access, 2024
2023
Introduction to the special issue on Innovative Applications of Artificial Intelligence (IAAI 2023).
AI Mag., December, 2023
SolderNet: Towards trustworthy visual inspection of solder joints in electronics manufacturing using explainable artificial intelligence.
AI Mag., December, 2023
Sensors, October, 2023
AI-Powered Noncontact In-Home Gait Monitoring and Activity Recognition System Based on mm-Wave FMCW Radar and Cloud Computing.
IEEE Internet Things J., June, 2023
COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound.
Sensors, March, 2023
IEEE Trans. Geosci. Remote. Sens., 2023
Hallway Gait Monitoring System Using an In-Package Integrated Dielectric Lens Paired with a mm-Wave Radar.
Sensors, 2023
DVQI: A Multi-task, Hardware-integrated Artificial Intelligence System for Automated Visual Inspection in Electronics Manufacturing.
CoRR, 2023
NutritionVerse-Synth: An Open Access Synthetically Generated 2D Food Scene Dataset for Dietary Intake Estimation.
CoRR, 2023
CoRR, 2023
Cancer-Net PCa-Gen: Synthesis of Realistic Prostate Diffusion Weighted Imaging Data via Anatomic-Conditional Controlled Latent Diffusion.
CoRR, 2023
COVIDx CXR-4: An Expanded Multi-Institutional Open-Source Benchmark Dataset for Chest X-ray Image-Based Computer-Aided COVID-19 Diagnostics.
CoRR, 2023
Double-Condensing Attention Condenser: Leveraging Attention in Deep Learning to Detect Skin Cancer from Skin Lesion Images.
CoRR, 2023
Cancer-Net PCa-Data: An Open-Source Benchmark Dataset for Prostate Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data.
CoRR, 2023
CoRR, 2023
GHN-QAT: Training Graph Hypernetworks to Predict Quantization-Robust Parameters of Unseen Limited Precision Neural Networks.
CoRR, 2023
A Survey of the Impact of Self-Supervised Pretraining for Diagnostic Tasks with Radiological Images.
CoRR, 2023
CoRR, 2023
GoalieNet: A Multi-Stage Network for Joint Goalie, Equipment, and Net Pose Estimation in Ice Hockey.
CoRR, 2023
Transferring Knowledge for Food Image Segmentation using Transformers and Convolutions.
CoRR, 2023
Explaining Explainability: Towards Deeper Actionable Insights into Deep Learning through Second-order Explainability.
CoRR, 2023
DeepfakeArt Challenge: A Benchmark Dataset for Generative AI Art Forgery and Data Poisoning Detection.
CoRR, 2023
Cancer-Net BCa-S: Breast Cancer Grade Prediction using Volumetric Deep Radiomic Features from Synthetic Correlated Diffusion Imaging.
CoRR, 2023
A Multi-Institutional Open-Source Benchmark Dataset for Breast Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data.
CoRR, 2023
NutritionVerse-Thin: An Optimized Strategy for Enabling Improved Rendering of 3D Thin Food Models.
CoRR, 2023
CoRR, 2023
CoRR, 2023
PCBDet: An Efficient Deep Neural Network Object Detection Architecture for Automatic PCB Component Detection on the Edge.
CoRR, 2023
COVID-Net USPro: An Open-Source Explainable Few-Shot Deep Prototypical Network to Monitor and Detect COVID-19 Infection from Point-of-Care Ultrasound Images.
CoRR, 2023
Self-Supervised Pretraining Improves Performance and Inference Efficiency in Multiple Lung Ultrasound Interpretation Tasks.
IEEE Access, 2023
Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning.
IEEE Access, 2023
IEEE Access, 2023
Enhancing Clinical Support for Breast Cancer with Deep Learning Models Using Synthetic Correlated Diffusion Imaging.
Proceedings of the Applications of Medical Artificial Intelligence, 2023
Proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management, 2023
A 112Gb/s Serial Link Transceiver With 3-tap FFE and 18-tap DFE Receiver for up to 43dB Insertion Loss Channel in 7nm FinFET Technology.
Proceedings of the IEEE International Solid- State Circuits Conference, 2023
Proceedings of the 11th International Conference on Sport Sciences Research and Technology Support, 2023
SAGE-NDVI: A Stereotype-Breaking Evaluation Metric for Remote Sensing Image Dehazing Using Satellite-to-Ground NDVI Knowledge.
Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2023
Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Exploring the Utility of Self-Supervised Pretraining Strategies for the Detection of Absent Lung Sliding in M-Mode Lung Ultrasound.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Systematic Architectural Design of Scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Similarity Analysis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
MMRNet: Improving Reliability for Multimodal Object Detection and Segmentation for Bin Picking via Multimodal Redundancy.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing Environments.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Dataset, April, 2022
IEEE J. Biomed. Health Informatics, 2022
BCUN: Bayesian Fully Convolutional Neural Network for Hyperspectral Spectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2022
A Bayesian Deep Image Prior Downscaling Approach for High-Resolution Soil Moisture Estimation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Multi-Temporal Landsat-8 Images for Retrieval and Broad Scale Mapping of Soil Copper Concentration Using Empirical Models.
Remote. Sens., 2022
TAL: Topography-Aware Multi-Resolution Fusion Learning for Enhanced Building Footprint Extraction.
IEEE Geosci. Remote. Sens. Lett., 2022
J. Comput. Sci., 2022
TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases From Chest X-Ray Images.
Frontiers Artif. Intell., 2022
Plankton-FL: Exploration of Federated Learning for Privacy-Preserving Training of Deep Neural Networks for Phytoplankton Classification.
CoRR, 2022
COVID-Net Assistant: A Deep Learning-Driven Virtual Assistant for COVID-19 Symptom Prediction and Recommendation.
CoRR, 2022
Cancer-Net BCa: Breast Cancer Pathologic Complete Response Prediction using Volumetric Deep Radiomic Features from Synthetic Correlated Diffusion Imaging.
CoRR, 2022
MMRNet: Improving Reliability for Multimodal Computer Vision for Bin Picking via Multimodal Redundancy.
CoRR, 2022
GHN-Q: Parameter Prediction for Unseen Quantized Convolutional Architectures via Graph Hypernetworks.
CoRR, 2022
Faster Attention Is What You Need: A Fast Self-Attention Neural Network Backbone Architecture for the Edge via Double-Condensing Attention Condensers.
CoRR, 2022
Towards Generating Large Synthetic Phytoplankton Datasets for Efficient Monitoring of Harmful Algal Blooms.
CoRR, 2022
Towards Trustworthy Healthcare AI: Attention-Based Feature Learning for COVID-19 Screening With Chest Radiography.
CoRR, 2022
COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics.
CoRR, 2022
COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT Images.
CoRR, 2022
COVID-Net UV: An End-to-End Spatio-Temporal Deep Neural Network Architecture for Automated Diagnosis of COVID-19 Infection from Ultrasound Videos.
CoRR, 2022
COVID-Net US-X: Enhanced Deep Neural Network for Detection of COVID-19 Patient Cases from Convex Ultrasound Imaging Through Extended Linear-Convex Ultrasound Augmentation Learning.
CoRR, 2022
LightDefectNet: A Highly Compact Deep Anti-Aliased Attention Condenser Neural Network Architecture for Light Guide Plate Surface Defect Detection.
CoRR, 2022
COVID-Net Biochem: An Explainability-driven Framework to Building Machine Learning Models for Predicting Survival and Kidney Injury of COVID-19 Patients from Clinical and Biochemistry Data.
CoRR, 2022
Improving Classification Model Performance on Chest X-Rays through Lung Segmentation.
CoRR, 2022
Cancer-Net SCa: tailored deep neural network designs for detection of skin cancer from dermoscopy images.
BMC Medical Imaging, 2022
Non-Visual and Contactless Wellness Monitoring for Long Term Care Facilities Using mm-Wave Radar Sensors.
Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022
Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-person Human Pose Estimation.
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
CellDefectNet: A Machine-designed Attention Condenser Network for Electroluminescence-based Photovoltaic Cell Defect Inspection.
Proceedings of the 19th Conference on Robots and Vision, 2022
Proceedings of the 19th Conference on Robots and Vision, 2022
MetaGraspNet: A Large-Scale Benchmark Dataset for Scene-Aware Ambidextrous Bin Picking via Physics-based Metaverse Synthesis.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022
Proceedings of the 21st Workshop on Biomedical Language Processing, 2022
LexSubCon: Integrating Knowledge from Lexical Resources into Contextual Embeddings for Lexical Substitution.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
Detecting Pulse Rates From Facial Videos Recorded in Unstable Lighting Conditions: An Adaptive Spatiotemporal Homomorphic Filtering Algorithm.
IEEE Trans. Instrum. Meas., 2021
Deep Neural Network Perception Models and Robust Autonomous Driving Systems: Practical Solutions for Mitigation and Improvement.
IEEE Signal Process. Mag., 2021
OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection.
Sensors, 2021
Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing.
Scientometrics, 2021
Unsupervised Bayesian Subpixel Mapping of Hyperspectral Imagery Based on Band-Weighted Discrete Spectral Mixture Model and Markov Random Field.
IEEE Geosci. Remote. Sens. Lett., 2021
Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression From Chest CT Images.
Frontiers Artif. Intell., 2021
Environment Classification for Robotic Leg Prostheses and Exoskeletons Using Deep Convolutional Neural Networks.
Frontiers Neurorobotics, 2021
MetaGraspNet: A Large-Scale Benchmark Dataset for Vision-driven Robotic Grasping via Physics-based Metaverse Synthesis.
CoRR, 2021
Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications.
CoRR, 2021
Enhancing Food Intake Tracking in Long-Term Care with Automated Food Imaging and Nutrient Intake Tracking (AFINI-T) Technology.
CoRR, 2021
TinyDefectNet: Highly Compact Deep Neural Network Architecture for High-Throughput Manufacturing Visual Quality Inspection.
CoRR, 2021
MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis.
CoRR, 2021
COVID-Net Clinical ICU: Enhanced Prediction of ICU Admission for COVID-19 Patients via Explainability and Trust Quantification.
CoRR, 2021
Where Did You Learn That From? Surprising Effectiveness of Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning.
CoRR, 2021
Does Form Follow Function? An Empirical Exploration of the Impact of Deep Neural Network Architecture Design on Hardware-Specific Acceleration.
CoRR, 2021
SALT: Sea lice Adaptive Lattice Tracking - An Unsupervised Approach to Generate an Improved Ocean Model.
CoRR, 2021
Insights into Data through Model Behaviour: An Explainability-driven Strategy for Data Auditing for Responsible Computer Vision Applications.
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
CoRR, 2021
COVID-Net CT-S: 3D Convolutional Neural Network Architectures for COVID-19 Severity Assessment using Chest CT Images.
CoRR, 2021
COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images.
CoRR, 2021
AttendSeg: A Tiny Attention Condenser Neural Network for Semantic Segmentation on the Edge.
CoRR, 2021
TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases from Chest X-ray Images.
CoRR, 2021
COVIDx-US - An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics.
CoRR, 2021
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse Learning.
CoRR, 2021
EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation Using Accelerated Neuroevolution With Weight Transfer.
IEEE Access, 2021
UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System Metathesaurus.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
COVID-Net US: A Tailored, Highly Efficient, Self-attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-Care Ultrasound Imaging.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021
Proceedings of the 9th International Conference on Sport Sciences Research and Technology Support, 2021
MANet: a Motion-Driven Attention Network for Detecting the Pulse from a Facial Video with Drastic Motions.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Computer Vision and Deep Learning for Environment-Adaptive Control of Robotic Lower-Limb Exoskeletons.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Do All MobileNets Quantize Poorly? Gaining Insights Into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-Scale Distributional Dynamics.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
DeepDarts: Modeling Keypoints as Objects for Automatic Scorekeeping in Darts Using a Single Camera.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
Proceedings of the 34th IEEE Canadian Conference on Electrical and Computer Engineering, 2021
2020
IEEE Trans. Intell. Transp. Syst., 2020
Nonlocal Band-Weighted Iterative Spectral Mixture Model for Hyperspectral Imagery Denoising.
IEEE Trans. Geosci. Remote. Sens., 2020
Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification.
IEEE Trans. Cybern., 2020
Detecting Pulse Wave From Unstable Facial Videos Recorded From Consumer-Level Cameras: A Disturbance-Adaptive Orthogonal Matching Pursuit.
IEEE Trans. Biomed. Eng., 2020
Radiomics Driven Diffusion Weighted Imaging Sensing Strategies for Zone-Level Prostate Cancer Sensing.
Sensors, 2020
Comparative Analysis of Gait Speed Estimation Using Wideband and Narrowband Radars, Thermal Camera, and Motion Tracking Suit Technologies.
J. Heal. Informatics Res., 2020
EmotionNet Nano: An Efficient Deep Convolutional Neural Network Design for Real-Time Facial Expression Recognition.
Frontiers Artif. Intell., 2020
Frontiers Robotics AI, 2020
A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning.
CoRR, 2020
Inter-layer Information Similarity Assessment of Deep Neural Networks Via Topological Similarity and Persistence Analysis of Data Neighbour Dynamics.
CoRR, 2020
FactorizeNet: Progressive Depth Factorization for Efficient Network Architecture Exploration Under Quantization Constraints.
CoRR, 2020
Where Should We Begin? A Low-Level Exploration of Weight Initialization Impact on Quantized Behaviour of Deep Neural Networks.
CoRR, 2020
CancerNet-SCa: Tailored Deep Neural Network Designs for Detection of Skin Cancer from Dermoscopy Images.
CoRR, 2020
CoRR, 2020
Insights into Fairness through Trust: Multi-scale Trust Quantification for Financial Deep Learning.
CoRR, 2020
AEGIS: A real-time multimodal augmented reality computer vision based system to assist facial expression recognition for individuals with autism spectrum disorder.
CoRR, 2020
Where Does Trust Break Down? A Quantitative Trust Analysis of Deep Neural Networks via Trust Matrix and Conditional Trust Densities.
CoRR, 2020
AttendNets: Tiny Deep Image Recognition Neural Networks for the Edge via Visual Attention Condensers.
CoRR, 2020
How Much Can We Really Trust You? Towards Simple, Interpretable Trust Quantification Metrics for Deep Neural Networks.
CoRR, 2020
COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT Images.
CoRR, 2020
TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices.
CoRR, 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
DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for Monocular Depth Estimation.
CoRR, 2020
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest Radiography Images.
CoRR, 2020
CoRR, 2020
A computerised system for measurement of the radial displacement of the intervertebral disc using a laser scanning device.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020
Biomed. Signal Process. Control., 2020
A Deep Learning Approach for Multi-Depth Soil Water Content Prediction in Summer Maize Growth Period.
IEEE Access, 2020
Unsupervised Domain Adaptation in Person re-ID via k-Reciprocal Clustering and Large-Scale Heterogeneous Environment Synthesis.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Automatic Extraction of Risk Factors for Dialysis Patients from Clinical Notes Using Natural Language Processing Techniques.
Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020
DeSupGAN: Multi-scale Feature Averaging Generative Adversarial Network for Simultaneous De-blurring and Super-Resolution of Retinal Fundus Images.
Proceedings of the Ophthalmic Medical Image Analysis - 7th International Workshop, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
TimeConvNets: A Deep Time Windowed Convolution Neural Network Design for Real-time Video Facial Expression Recognition.
Proceedings of the 17th Conference on Computer and Robot Vision, 2020
Comparative Analysis of Environment Recognition Systems for Control of Lower-Limb Exoskeletons and Prostheses.
Proceedings of the 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2020
Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification.
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020
Where's the Question? A Multi-channel Deep Convolutional Neural Network for Question Identification in Textual Data.
Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020
2019
IEEE Trans. Intell. Transp. Syst., 2019
IEEE Geosci. Remote. Sens. Lett., 2019
StressedNets: Efficient feature representations via stress-induced evolutionary synthesis of deep neural networks.
Neurocomputing, 2019
Taking a Stance on Fake News: Towards Automatic Disinformation Assessment via Deep Bidirectional Transformer Language Models for Stance Detection.
CoRR, 2019
DeepLABNet: End-to-end Learning of Deep Radial Basis Networks with Fully Learnable Basis Functions.
CoRR, 2019
Fully-Automatic Semantic Segmentation for Food Intake Tracking in Long-Term Care Homes.
CoRR, 2019
Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms.
CoRR, 2019
Human-Machine Collaborative Design for Accelerated Design of Compact Deep Neural Networks for Autonomous Driving.
CoRR, 2019
CoRR, 2019
CoRR, 2019
Seeing Convolution Through the Eyes of Finite Transformation Semigroup Theory: An Abstract Algebraic Interpretation of Convolutional Neural Networks.
CoRR, 2019
Implications of Computer Vision Driven Assistive Technologies Towards Individuals with Visual Impairment.
CoRR, 2019
Enabling Computer Vision Driven Assistive Devices for the Visually Impaired via Micro-architecture Design Exploration.
CoRR, 2019
Affine Variational Autoencoders: An Efficient Approach for Improving Generalization and Robustness to Distribution Shift.
CoRR, 2019
Auditing ImageNet: Towards a Model-driven Framework for Annotating Demographic Attributes of Large-Scale Image Datasets.
CoRR, 2019
CoRR, 2019
Discovery Radiomics With CLEAR-DR: Interpretable Computer Aided Diagnosis of Diabetic Retinopathy.
IEEE Access, 2019
SISC: End-to-End Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells.
IEEE Access, 2019
The Feasibility of Automated Identification of Six Algae Types Using Feed-Forward Neural Networks and Fluorescence-Based Spectral-Morphological Features.
IEEE Access, 2019
Estimation Of Iron Concentration In Soil Of A Mining Area From Uav-Based Hyperspectral Imagery.
Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019
Proceedings of the 16th International Conference on Human-Computer Interaction, 2019
YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection.
Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019
Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons.
Proceedings of the 16th IEEE International Conference on Rehabilitation Robotics, 2019
NetScore: Towards Universal Metrics for Large-Scale Performance Analysis of Deep Neural Networks for Practical On-Device Edge Usage.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019
KPTransfer: Improved Performance and Faster Convergence from Keypoint Subset-Wise Domain Transfer in Human Pose Estimation.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019
Discovery Radiomics for Detection of Severely Atypical Melanocytic Lesions (SAML) from Skin Imaging via Deep Residual Group Convolutional Radiomic Sequencer.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019
Investigating the Automatic Classification of Algae Using the Spectral and Morphological Characteristics via Deep Residual Learning.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019
Compensated Row-Column Ultrasound Imaging Systems with Data-Driven Point Spread Function Learning.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019
A Random Field Computational Adaptive Optics Framework for Optical Coherence Microscopy.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019
AttoNets: Compact and Efficient Deep Neural Networks for the Edge via Human-Machine Collaborative Design.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
Dynamic Representations Toward Efficient Inference on Deep Neural Networks by Decision Gates.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
SANE: Exploring Adversarial Robustness With Stochastically Activated Network Ensembles.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
Proceedings of the 16th Conference on Computer and Robot Vision, 2019
2018
Wirel. Commun. Mob. Comput., 2018
J. Signal Process. Syst., 2018
ST-IRGS: A Region-Based Self-Training Algorithm Applied to Hyperspectral Image Classification and Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2018
Unsupervised Bayesian Classification of a Hyperspectral Image Based on the Spectral Mixture Model and Markov Random Field.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Pattern Recognit., 2018
Neural Process. Lett., 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
CoRR, 2018
SRP: Efficient class-aware embedding learning for large-scale data via supervised random projections.
CoRR, 2018
Efficient Inference on Deep Neural Networks by Dynamic Representations and Decision Gates.
CoRR, 2018
Investigating the Automatic Classification of Algae Using Fusion of Spectral and Morphological Characteristics of Algae via Deep Residual Learning.
CoRR, 2018
EdgeSpeechNets: Highly Efficient Deep Neural Networks for Speech Recognition on the Edge.
CoRR, 2018
FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis.
CoRR, 2018
NetScore: Towards Universal Metrics for Large-scale Performance Analysis of Deep Neural Networks for Practical Usage.
CoRR, 2018
CoRR, 2018
The feasibility of automated identification of six algae types using neural networks and fluorescence-based spectral-morphological features.
CoRR, 2018
muNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-time Embedded Traffic Sign Classification.
CoRR, 2018
MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection.
BMC Medical Imaging, 2018
MicronNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-Time Embedded Traffic Sign Classification.
IEEE Access, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Tiny SSD: A Tiny Single-Shot Detection Deep Convolutional Neural Network for Real-Time Embedded Object Detection.
Proceedings of the 15th Conference on Computer and Robot Vision, 2018
HyperStackNet: A Hyper Stacked Hourglass Deep Convolutional Neural Network Architecture for Joint Player and Stick Pose Estimation in Hockey.
Proceedings of the 15th Conference on Computer and Robot Vision, 2018
Deep Learning-Driven Depth from Defocus via Active Multispectral Quasi-Random Projections with Complex Subpatterns.
Proceedings of the 15th Conference on Computer and Robot Vision, 2018
Proceedings of the 15th Conference on Computer and Robot Vision, 2018
Nature vs. Nurture: The Role of Environmental Resources in Evolutionary Deep Intelligence.
Proceedings of the 15th Conference on Computer and Robot Vision, 2018
Choosing Agile or Plan-driven Enterprise Resource Planning (ERP) Implementations - A study on 21 Implementations from 20 Companies.
Proceedings of the 4th International Workshop on Socio-Technical Perspective in IS development (STPIS'18) co-located with 30th International Conference on Advanced Information Systems Engineering (CAiSE 2018), 2018
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
2017
A Novel Bayesian Spatial-Temporal Random Field Model Applied to Cloud Detection From Remotely Sensed Imagery.
IEEE Trans. Geosci. Remote. Sens., 2017
Weakly Supervised Classification of Remotely Sensed Imagery Using Label Constraint and Edge Penalty.
IEEE Trans. Geosci. Remote. Sens., 2017
Simultaneous Projector-Camera Self-Calibration for Three-Dimensional Reconstruction and Projection Mapping.
IEEE Trans. Computational Imaging, 2017
An Enhanced Probabilistic Posterior Sampling Approach for Synthesizing SAR Imagery With Sea Ice and Oil Spills.
IEEE Geosci. Remote. Sens. Lett., 2017
SquishedNets: Squishing SqueezeNet further for edge device scenarios via deep evolutionary synthesis.
CoRR, 2017
Discovery Radiomics via Deep Multi-Column Radiomic Sequencers for Skin Cancer Detection.
CoRR, 2017
Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video.
CoRR, 2017
Opening the Black Box of Financial AI with CLEAR-Trade: A CLass-Enhanced Attentive Response Approach for Explaining and Visualizing Deep Learning-Driven Stock Market Prediction.
CoRR, 2017
Exploring the Imposition of Synaptic Precision Restrictions For Evolutionary Synthesis of Deep Neural Networks.
CoRR, 2017
Discovery Radiomics via Evolutionary Deep Radiomic Sequencer Discovery for Pathologically-Proven Lung Cancer Detection.
CoRR, 2017
Evolution in Groups: A deeper look at synaptic cluster driven evolution of deep neural networks.
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
Synthesizing Deep Neural Network Architectures using Biological Synaptic Strength Distributions.
CoRR, 2017
IEEE Access, 2017
Soccer Video Structure Analysis by Parallel Feature Fusion Network and Hidden-to-Observable Transferring Markov Model.
IEEE Access, 2017
Comparing methods to estimate consumptive use with remote sensing in California's Sacramento-San Joaquin Delta.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Proceedings of the IEEE International Conference on Industrial Technology, 2017
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017
Depth from Defocus via Active Quasi-random Point Projections: A Deep Learning Approach.
Proceedings of the Image Analysis and Recognition - 14th International Conference, 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
Compensated Row-Column Ultrasound Imaging System Using Three Dimensional Random Fields.
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017
Fully Deep Convolutional Neural Networks for Segmentation of the Prostate Gland in Diffusion-Weighted MR Images.
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017
A Machine Learning-Driven Approach to Computational Physiological Modeling of Skin Cancer.
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017
Learning Efficient Deep Feature Representations via Transgenerational Genetic Transmission of Environmental Information During Evolutionary Synthesis of Deep Neural Networks.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 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
Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
An Optimal Torque Vectoring Control for Vehicle Applications via Real-Time Constraints.
IEEE Trans. Veh. Technol., 2016
Noise-Compensated, Bias-Corrected Diffusion Weighted Endorectal Magnetic Resonance Imaging via a Stochastically Fully-Connected Joint Conditional Random Field Model.
IEEE Trans. Medical Imaging, 2016
Intrinsic Representation of Hyperspectral Imagery for Unsupervised Feature Extraction.
IEEE Trans. Geosci. Remote. Sens., 2016
IEEE Trans. Biomed. Eng., 2016
Extraction of Endmembers From Hyperspectral Images Using A Weighted Fuzzy Purified-Means Clustering Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
Fully Connected Continuous Conditional Random Field With Stochastic Cliques for Dark-Spot Detection In SAR Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
IEEE Signal Process. Lett., 2016
Comput. Vis. Image Underst., 2016
Scene Invariant Crowd Segmentation and Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG).
CoRR, 2016
Evolutionary Synthesis of Deep Neural Networks via Synaptic Cluster-driven Genetic Encoding.
CoRR, 2016
Resolution- and throughput-enhanced spectroscopy using high-throughput computational slit.
CoRR, 2016
CoRR, 2016
CoRR, 2016
Spatial probabilistic pulsatility model for enhancing photoplethysmographic imaging systems.
CoRR, 2016
A spectral-spatial fusion model for robust blood pulse waveform extraction in photoplethysmographic imaging.
CoRR, 2016
Automatic tracking of pupillary dynamics from <i>in vivo</i> functional optical coherence tomography images.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2016
Sparse reconstruction of compressive sensing MRI using cross-domain stochastically fully connected conditional random fields.
BMC Medical Imaging, 2016
IEEE Access, 2016
Salient Region Detection Using Self-Guided Statistical Non-Redundancy in Natural Images.
IEEE Access, 2016
Sparse Reconstruction of Compressive Sensing Multi-Spectral Data Using an Inter-Spectral Multi-Layered Conditional Random Field Model.
IEEE Access, 2016
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
Spatio-temporal saliency detection using abstracted fully-connected graphical models.
Proceedings of the 2016 IEEE International Conference on Image Processing, 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
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Real-Time, Embedded Scene Invariant Crowd Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG).
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016
Proceedings of the 13th Conference on Computer and Robot Vision, 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
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
Apparent Ultra-High b-Value Diffusion-Weighted Image Reconstruction via Hidden Conditional Random Fields.
IEEE Trans. Medical Imaging, 2015
Structure-Guided Statistical Textural Distinctiveness for Salient Region Detection in Natural Images.
IEEE Trans. Image Process., 2015
IEEE Trans. Biomed. Eng., 2015
Hyperspectral Image Denoising Using a Spatial-Spectral Monte Carlo Sampling Approach.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
Hyperspectral Image Classification With Limited Labeled Training Samples Using Enhanced Ensemble Learning and Conditional Random Fields.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
Feature Extraction for Hyperspectral Imagery via Ensemble Localized Manifold Learning.
IEEE Geosci. Remote. Sens. Lett., 2015
QMCTLS: Quasi Monte Carlo Texture Likelihood Sampling for Despeckling of Complex Polarimetric SAR Images.
IEEE Geosci. Remote. Sens. Lett., 2015
Optimized sampling distribution based on nonparametric learning for improved compressive sensing performance.
J. Vis. Commun. Image Represent., 2015
The Critical Few: Anticonformists at the Crossroads of Minority Opinion Survival and Collapse.
J. Artif. Soc. Soc. Simul., 2015
Forming A Random Field via Stochastic Cliques: From Random Graphs to Fully Connected Random Fields.
CoRR, 2015
CoRR, 2015
Numerical Demultiplexing of Color Image Sensor Measurements via Non-linear Random Forest Modeling.
CoRR, 2015
Non-contact transmittance photoplethysmographic imaging (PPGI) for long-distance cardiovascular monitoring.
CoRR, 2015
CoRR, 2015
Homotopic non-local regularized reconstruction from sparse positron emission tomography measurements.
BMC Medical Imaging, 2015
BMC Medical Imaging, 2015
Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models.
BMC Medical Imaging, 2015
IEEE Access, 2015
Prostate Cancer Detection via a Quantitative Radiomics-Driven Conditional Random Field Framework.
IEEE Access, 2015
Restoration of block-transform compressed images via homotopic regularized sparse reconstruction.
Proceedings of the Visual Information Processing and Communication VI, 2015
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Single-click, semi-automatic lung nodule contouring using hierarchical conditional random fields.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Quantitative features for computer-aided melanoma classification using spatial heterogeneity of eumelanin and pheomelanin concentrations.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
PIRM: Fast background subtraction under sudden, local illumination changes via probabilistic illumination range modelling.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Return of grid seams: A superpixel algorithm using discontinuous multi-functional energy seam carving.
Proceedings of the 2015 IEEE International Conference on Image Processing, 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
DESIRe: Discontinuous energy seam carving for image retargeting via structural and textural energy functionals.
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
Illumination Robust Facial Feature Detection via Decoupled Illumination and Texture Features.
Proceedings of the Image Analysis and Recognition - 12th International Conference, 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
Proceedings of the 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2015
Consequences of future data centre deployment on North American electricity generation and environmental impacts: a 2015-2030 prospective study.
Proceedings of the 29th International Conference on Environmental Informatics, 2015
Proceedings of the Intelligent Robots and Computer Vision XXXII: Algorithms and Techniques, 2015
Oil spill candidate detection from SAR imagery using a thresholding-guided stochastic fully-connected conditional random field model.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015
Simultaneous Scene Reconstruction and Auto-Calibration Using Constrained Iterative Closest Point for 3D Depth Sensor Array.
Proceedings of the 12th Conference on Computer and Robot Vision, 2015
Dense Depth Map Reconstruction from Sparse Measurements Using a Multilayer Conditional Random Field Model.
Proceedings of the 12th Conference on Computer and Robot Vision, 2015
Proceedings of the 12th Conference on Computer and Robot Vision, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Enhanced Decoupled Active Contour Using Structural and Textural Variation Energy Functionals.
IEEE Trans. Image Process., 2014
Multispectral Stereoscopic Imaging Device: Simultaneous Multiview Imaging From the Visible to the Near-Infrared.
IEEE Trans. Instrum. Meas., 2014
Despeckling of Synthetic Aperture Radar Images Using Monte Carlo Texture Likelihood Sampling.
IEEE Trans. Geosci. Remote. Sens., 2014
IEEE Trans. Biomed. Eng., 2014
Segmentation of Skin Lesions From Digital Images Using Joint Statistical Texture Distinctiveness.
IEEE Trans. Biomed. Eng., 2014
Sea Ice Surface Temperature Estimation Using MODIS and AMSR-E Data Within a Guided Variational Model Along the Labrador Coast.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014
K-P-Means: A Clustering Algorithm of K "Purified" Means for Hyperspectral Endmember Estimation.
IEEE Geosci. Remote. Sens. Lett., 2014
J. Field Robotics, 2014
Hybrid structural and texture distinctiveness vector field convolution for region segmentation.
Comput. Vis. Image Underst., 2014
Markov-chain Monte Carlo-based image reconstruction for streak artefact reduction on contrast-enhanced computed tomography.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2014
Noise-compensated homotopic non-local regularized reconstruction for rapid retinal optical coherence tomography image acquisitions.
BMC Medical Imaging, 2014
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Combining rotation forests and adaboost for hyperspectral imagery classification using few labeled samples.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Comparative study of feature space projection methods for hyperspectral image classification.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Comparison of unsupervised segmentation methods for surficial materials mapping in Nunavut, Canada using RADARSAT-2 polarimetric, Landsat-7, and DEM data.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Efficient Bayesian inference using fully connected conditional random fields with stochastic cliques.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Semi-automatic Fisher-Tippett guided active contour for lumbar multifidus muscle segmentation.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Enhanced classification of malignant melanoma lesions via the integration of physiological features from dermatological photographs.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Physiological characterization of skin lesion using non-linear random forest regression model.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Multiparametric MRI prostate cancer analysis via a hybrid morphological-textural model.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Proceedings of the Canadian Conference on Computer and Robot Vision, 2014
2013
IEEE Trans. Image Process., 2013
ETVOS: An Enhanced Total Variation Optimization Segmentation Approach for SAR Sea-Ice Image Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2013
Sparse Reconstruction of Breast MRI Using Homotopic L<sub>0</sub> Minimization in a Regional Sparsified Domain.
IEEE Trans. Biomed. Eng., 2013
MSIM: Multistage Illumination Modeling of Dermatological Photographs for Illumination-Corrected Skin Lesion Analysis.
IEEE Trans. Biomed. Eng., 2013
J. Vis. Commun. Image Represent., 2013
Comput. Medical Imaging Graph., 2013
Continuous sea ice thickness estimation using a joint MODIS and AMSR-E guided variational model.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
Unsupervised classification of sea-ice using synthetic aperture radar via an adaptive texture sparsifying transform.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
Unsupervised classification of agricultural land cover using polarimetric synthetic aperture radar via a sparse texture dictionary model.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013
Multi-scale stochastic color texture models for skin region segmentation and gesture detection.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
A novel 3D approach for the extraction of the wetting front in CT images of soil profiles.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2013
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
2012
IEEE Trans. Image Process., 2012
J. Vis. Commun. Image Represent., 2012
Digit. Signal Process., 2012
Proceedings of the 19th IEEE International Conference on Image Processing, 2012
Proceedings of the 19th IEEE International Conference on Image Processing, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Illumination correction in dermatological photographs using multi-stage illumination modeling for skin lesion analysis.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Quantitative investigative analysis of tumour separability in the prostate gland using ultra-high b-value computed diffusion imaging.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Non-parametric Bayesian estimation of apparent diffusion coefficient from diffusion-weighted magnetic resonance imaging data.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Extracting morphological high-level intuitive features (HLIF) for enhancing skin lesion classification.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Perceptual Structure Distortion Ratio: An Image Quality Metric Based on Robust Measures of Complex Phase Order.
Proceedings of the Ninth Conference on Computer and Robot Vision, 2012
Multi-Scale Saliency-Guided Compressive Sensing Approach to Efficient Robotic Laser Range Measurements.
Proceedings of the Ninth Conference on Computer and Robot Vision, 2012
Proceedings of the Ninth Conference on Computer and Robot Vision, 2012
Extracting High-Level Intuitive Features (HLIF) for Classifying Skin Lesions Using Standard Camera Images.
Proceedings of the Ninth Conference on Computer and Robot Vision, 2012
2011
IEEE Trans. Inf. Technol. Biomed., 2011
Fisher-Tippett Region-Merging Approach to Transrectal Ultrasound Prostate Lesion Segmentation.
IEEE Trans. Inf. Technol. Biomed., 2011
IEEE Trans. Geosci. Remote. Sens., 2011
Quasi-Monte Carlo Estimation Approach for Denoising MRI Data Based on Regional Statistics.
IEEE Trans. Biomed. Eng., 2011
IEEE Signal Process. Lett., 2011
Signal Process., 2011
Efficient Globally Optimal Registration of Remote Sensing Imagery via Quasi-Random Scale-Space Structural Correlation Energy Functional.
IEEE Geosci. Remote. Sens. Lett., 2011
IEEE J. Sel. Areas Commun., 2011
A Novel Hierarchical Model-Based Frame Rate Up-Conversion via Spatio-temporal Conditional Random Fields.
Proceedings of the 2011 IEEE International Symposium on Multimedia, 2011
Comprehensive Analysis on the Effects of Noise Estimation Strategies on Image Noise Artifact Suppression Performance.
Proceedings of the 2011 IEEE International Symposium on Multimedia, 2011
Hybrid Video Compression Using Selective Keyframe Identification and Patch-Based Super-Resolution.
Proceedings of the 2011 IEEE International Symposium on Multimedia, 2011
Proceedings of the 2011 IEEE International Symposium on Multimedia, 2011
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Constrained Bayesian streak artifact reduction approach for contrast enhanced computed tomography imaging of the intervertebral disc.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
A novel approach to automated cell counting for studying human corneal epithelial cells.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Robust control point detection for aerial synthetic aperture radar via a logarithmic quasi-random scale space framework.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011
2010
Probabilistic complex phase representation objective function for multimodal image registration.
PhD thesis, 2010
Dynamically optimized spatiotemporal prioritization for spectrum sensing in cooperative cognitive radio.
Wirel. Networks, 2010
IEEE Trans. Mob. Comput., 2010
IEEE Trans. Inf. Technol. Biomed., 2010
IEEE Trans. Image Process., 2010
IEEE Signal Process. Lett., 2010
AISIR: Automated inter-sensor/inter-band satellite image registration using robust complex wavelet feature representations.
Pattern Recognit. Lett., 2010
Pattern Recognit., 2010
Medical Image Anal., 2010
IEEE Geosci. Remote. Sens. Lett., 2010
IEEE Commun. Lett., 2010
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010
Proceedings of the Canadian Conference on Computer and Robot Vision, 2010
Quasi-Random Scale Space Approach to Robust Keypoint Extraction in High-Noise Environments.
Proceedings of the Canadian Conference on Computer and Robot Vision, 2010
Proceedings of the Canadian Conference on Computer and Robot Vision, 2010
2009
J. Signal Process. Syst., 2009
IEEE Trans. Image Process., 2009
Intervertebral Disc Segmentation and Volumetric Reconstruction From Peripheral Quantitative Computed Tomography Imaging.
IEEE Trans. Biomed. Eng., 2009
Alignment of Confocal Scanning Laser Ophthalmoscopy Photoreceptor Images at Different Polarizations Using Complex Phase Relationships.
IEEE Trans. Biomed. Eng., 2009
First-Spike Rank Order as a Reliable Indicator of Burst Initiation and Its Relation With Early-to-Fire Neurons.
IEEE Trans. Biomed. Eng., 2009
Int. J. Image Graph., 2009
Prioritized spectrum sensing in cognitive radio based on spatiotemporal statistical fusion.
Proceedings of the 2009 IEEE Wireless Communications and Networking Conference, 2009
JEDI: Adaptive Stochastic Estimation for Joint Enhancement and Despeckling of Images for SAR.
Proceedings of the Sixth Canadian Conference on Computer and Robot Vision, 2009
Proceedings of the Sixth Canadian Conference on Computer and Robot Vision, 2009
SEC: Stochastic Ensemble Consensus Approach to Unsupervised SAR Sea-Ice Segmentation.
Proceedings of the Sixth Canadian Conference on Computer and Robot Vision, 2009
Adaptive Monte Carlo Retinex Method for Illumination and Reflectance Separation and Color Image Enhancement.
Proceedings of the Sixth Canadian Conference on Computer and Robot Vision, 2009
Stochastic Channel Prioritization for Spectrum Sensing in Cooperative Cognitive Radio.
Proceedings of the 6th IEEE Consumer Communications and Networking Conference, 2009
2008
IEEE Trans. Geosci. Remote. Sens., 2008
Signal Process., 2008
Pattern Recognit. Lett., 2008
Robust Edge Detection Based on Non-local Contribution of Local Frequency Characteristics.
Proceedings of the Tenth IEEE International Symposium on Multimedia (ISM2008), 2008
Deblocking of Block-Transform Compressed Images Using Phase-Adaptive Shifted Thresholding.
Proceedings of the Tenth IEEE International Symposium on Multimedia (ISM2008), 2008
Efficient and Robust Approach to Simultaneous Non-Rigid Registration and Gamma Estimation in the Frequency Domain.
Proceedings of the 2008 International Conference on Image Processing, 2008
Robust Hough-Based Symbol Recognition Using Knowledge-Based Hierarchical Neural Networks.
Proceedings of the 2008 International Conference on Image Processing, 2008
Adaptive Nonlinear Image Denoising and Restoration Using a Cooperative Bayesian Estimation Approach.
Proceedings of the Sixth Indian Conference on Computer Vision, Graphics & Image Processing, 2008
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
Simultaneous multi-modal registration of multiple images based on multi-dimensional joint phase moment distributions.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
Proceedings of the International Conference on Image Processing, 2008
A perceptually adaptive approach to image denoising using anisotropic non-local means.
Proceedings of the International Conference on Image Processing, 2008
Illumination invariant active contour-based segmentation using complex-valued wavelets.
Proceedings of the International Conference on Image Processing, 2008
Proceedings of the International Conference on Image Processing, 2008
Proceedings of the Fifth Canadian Conference on Computer and Robot Vision, 2008
2007
IEEE Trans. Geosci. Remote. Sens., 2007
Practical Perceptually Adaptive Color Texture Map Compression for 3D Video Games.
J. Game Dev., 2007
Adaptive large scale artifact reduction in edge-based image super-resolution.
Proceedings of the Signal and Image Processing (SIP 2007), 2007
Backwards Compatible, Multi-Level Regions-of-Interest (ROI) Image Encryption Architecture with Biometric Authentication.
Proceedings of the SIGMAP 2007, 2007
Proceedings of the First IEEE International Conference on Semantic Computing (ICSC 2007), 2007
Simultaneous Gamma Correction and Registration in the Frequency Domain.
Proceedings of the 2007 International Conference on Image Processing, 2007
Proceedings of the 2007 conference on Future Play, Toronto, ON, Canada, November 15, 2007
2006
Proceedings of the Eigth IEEE International Symposium on Multimedia (ISM 2006), 2006
Proceedings of the Eigth IEEE International Symposium on Multimedia (ISM 2006), 2006
Efficient and Robust Non-Rigid Least-Squares Rectification of Medical Images.
Proceedings of the 2006 International Conference on Image Processing, 2006
Efficient Multi-Modal Least-Squares Alignment of Medical Images Using Quasi-Orientation Maps.
Proceedings of the 2006 International Conference on Image Processing, 2006
Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006
Expert Knowledge Based Automatic Regions-of-Interest (ROI) Selection in Scanned Documents for Digital Image Encryption.
Proceedings of the Third Canadian Conference on Computer and Robot Vision (CRV 2006), 2006
2004
Proceedings of the 2004 International Conference on MEMS, 2004