Alexander Wong
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(Suggest an Edit or Addition)Alexander Wong's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images (2020) (1785)
- COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest Radiography Images (2020) (541)
- Lung Nodule Classification Using Deep Features in CT Images (2015) (269)
- Intra-retinal layer segmentation in optical coherence tomography images. (2009) (233)
- ARRSI: Automatic Registration of Remote-Sensing Images (2007) (225)
- Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video (2017) (216)
- A nonlocal-means approach to exemplar-based inpainting (2008) (213)
- Radiomics-based Prognosis Analysis for Non-Small Cell Lung Cancer (2017) (196)
- Efficient nonlocal-means denoising using the SVD (2008) (161)
- Statistical Textural Distinctiveness for Salient Region Detection in Natural Images (2013) (154)
- Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models (2015) (154)
- COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases From Chest CT Images (2020) (141)
- MAPS: A Quantitative Radiomics Approach for Prostate Cancer Detection (2016) (139)
- Squeeze-and-Attention Networks for Semantic Segmentation (2019) (129)
- Segmentation of Skin Lesions From Digital Images Using Joint Statistical Texture Distinctiveness (2014) (129)
- Automatic Skin Lesion Segmentation via Iterative Stochastic Region Merging (2011) (121)
- Tiny SSD: A Tiny Single-Shot Detection Deep Convolutional Neural Network for Real-Time Embedded Object Detection (2018) (115)
- High-Level Intuitive Features (HLIFs) for Intuitive Skin Lesion Description (2015) (100)
- Enabling scalable spectral clustering for image segmentation (2010) (87)
- Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification (2019) (78)
- MSIM: Multistage Illumination Modeling of Dermatological Photographs for Illumination-Corrected Skin Lesion Analysis (2013) (72)
- Adaptive bilateral filtering of image signals using local phase characteristics (2008) (67)
- Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms (2019) (62)
- COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 From Chest CT Images Through Bigger, More Diverse Learning (2021) (61)
- Fully automated segmentation of prostate whole gland and transition zone in diffusion-weighted MRI using convolutional neural networks (2017) (60)
- YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection (2019) (59)
- Hyperspectral Image Classification With Limited Labeled Training Samples Using Enhanced Ensemble Learning and Conditional Random Fields (2015) (58)
- RUNet: A Robust UNet Architecture for Image Super-Resolution (2019) (56)
- FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis (2018) (55)
- Quantitative and qualitative evaluation of phytoplankton communities by trichromatic chlorophyll fluorescence excitation with special focus on cyanobacteria. (2005) (51)
- NetScore: Towards Universal Metrics for Large-Scale Performance Analysis of Deep Neural Networks for Practical On-Device Edge Usage (2018) (49)
- Efficient least squares fusion of MRI and CT images using a phase congruency model (2008) (49)
- Stochastic image denoising based on Markov-chain Monte Carlo sampling (2011) (45)
- Non-contact hemodynamic imaging reveals the jugular venous pulse waveform (2016) (43)
- MicronNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-Time Embedded Traffic Sign Classification (2018) (43)
- Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness (2020) (42)
- Extended Knowledge-Based Reasoning Approach to Spectrum Sensing for Cognitive Radio (2010) (41)
- MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection (2018) (40)
- Improved interactive medical image segmentation using Enhanced Intelligent Scissors (EIS) (2008) (40)
- Efficient FFT-Accelerated Approach to Invariant Optical–LIDAR Registration (2008) (40)
- Deep Learning with Darwin: Evolutionary Synthesis of Deep Neural Networks (2016) (39)
- ST-IRGS: A Region-Based Self-Training Algorithm Applied to Hyperspectral Image Classification and Segmentation (2018) (39)
- Feasibility of long-distance heart rate monitoring using transmittance photoplethysmographic imaging (PPGI) (2015) (39)
- Fully Deep Convolutional Neural Networks for Segmentation of the Prostate Gland in Diffusion-Weighted MR Images (2017) (38)
- Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction (2015) (38)
- Robust Multimodal Registration Using Local Phase-Coherence Representations (2009) (36)
- Extracting morphological high-level intuitive features (HLIF) for enhancing skin lesion classification (2012) (36)
- Sparse Reconstruction of Breast MRI Using Homotopic $L_0$ Minimization in a Regional Sparsified Domain (2013) (35)
- Enhanced Decoupled Active Contour Using Structural and Textural Variation Energy Functionals (2014) (34)
- Melanoma Decision Support Using Lighting-Corrected Intuitive Feature Models (2014) (34)
- Enhanced Seam Carving via Integration of Energy Gradient Functionals (2011) (34)
- Prostate Cancer Detection via a Quantitative Radiomics-Driven Conditional Random Field Framework (2015) (33)
- Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons (2019) (33)
- 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 (2020) (33)
- Auditing ImageNet: Towards a Model-driven Framework for Annotating Demographic Attributes of Large-Scale Image Datasets (2019) (32)
- Simultaneous Projector-Camera Self-Calibration for Three-Dimensional Reconstruction and Projection Mapping (2017) (32)
- Prediction of oxygen uptake dynamics by machine learning analysis of wearable sensors during activities of daily living (2017) (32)
- AISIR: Automated inter-sensor/inter-band satellite image registration using robust complex wavelet feature representations (2010) (32)
- StochasticNet: Forming Deep Neural Networks via Stochastic Connectivity (2015) (31)
- GolfDB: A Video Database for Golf Swing Sequencing (2019) (29)
- Stochastic Medium Access for Cognitive Radio Ad Hoc Networks (2011) (29)
- Efficient Bayesian inference using fully connected conditional random fields with stochastic cliques (2014) (28)
- Hyperspectral Image Denoising Using a Spatial–Spectral Monte Carlo Sampling Approach (2015) (28)
- Stochastic speckle noise compensation in optical coherence tomography using non-stationary spline-based speckle noise modelling. (2013) (28)
- NetScore: Towards Universal Metrics for Large-scale Performance Analysis of Deep Neural Networks for Practical Usage (2018) (28)
- Fast phase-based registration of multimodal image data (2009) (27)
- ETVOS: An Enhanced Total Variation Optimization Segmentation Approach for SAR Sea-Ice Image Segmentation (2013) (27)
- Correlated diffusion imaging (2013) (27)
- Discovery Radiomics for Computed Tomography Cancer Detection (2015) (27)
- CPOL: Complex phase order likelihood as a similarity measure for MR-CT registration (2010) (27)
- Action Recognition using Deep Convolutional Neural Networks and Compressed Spatio-Temporal Pose Encodings (2018) (27)
- Enhancement of morphological and vascular features in OCT images using a modified Bayesian residual transform. (2018) (26)
- Intervertebral Disc Segmentation and Volumetric Reconstruction From Peripheral Quantitative Computed Tomography Imaging (2009) (25)
- Extracting aerobic system dynamics during unsupervised activities of daily living using wearable sensor machine learning models. (2018) (25)
- Estimating oxygen uptake and energy expenditure during treadmill walking by neural network analysis of easy-to-obtain inputs. (2016) (25)
- Hockey Action Recognition via Integrated Stacked Hourglass Network (2017) (25)
- Homotopic, non-local sparse reconstruction of optical coherence tomography imagery. (2012) (25)
- EdgeSpeechNets: Highly Efficient Deep Neural Networks for Speech Recognition on the Edge (2018) (24)
- A perceptually adaptive approach to image denoising using anisotropic non-local means (2008) (24)
- Intrinsic Representation of Hyperspectral Imagery for Unsupervised Feature Extraction (2016) (24)
- Multispectral Stereoscopic Imaging Device: Simultaneous Multiview Imaging From the Visible to the Near-Infrared (2014) (23)
- SquishedNets: Squishing SqueezeNet further for edge device scenarios via deep evolutionary synthesis (2017) (23)
- Apparent Ultra-High $b$-Value Diffusion-Weighted Image Reconstruction via Hidden Conditional Random Fields (2015) (22)
- Evolutionary Synthesis of Deep Neural Networks via Synaptic Cluster-driven Genetic Encoding (2016) (22)
- Quasi-Monte Carlo Estimation Approach for Denoising MRI Data Based on Regional Statistics (2011) (22)
- Quantitative investigative analysis of tumour separability in the prostate gland using ultra-high b-value computed diffusion imaging (2012) (22)
- Unsupervised Domain Adaptation with a Relaxed Covariate Shift Assumption (2017) (22)
- TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices (2020) (21)
- Weakly Supervised Classification of Remotely Sensed Imagery Using Label Constraint and Edge Penalty (2017) (21)
- STAR-Net: Action Recognition using Spatio-Temporal Activation Reprojection (2019) (21)
- A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning (2020) (21)
- Automated detection and cell density assessment of keratocytes in the human corneal stroma from ultrahigh resolution optical coherence tomograms (2011) (20)
- Energy-guided learning approach to compressive FD-OCT. (2013) (20)
- Multiparametric MRI prostate cancer analysis via a hybrid morphological-textural model (2014) (20)
- EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation using Neuroevolution (2020) (20)
- A Multi-Parametric Diffusion Magnetic Resonance Imaging Texture Feature Model for Prostate Cancer Analysis (2014) (20)
- Oil spill candidate detection from SAR imagery using a thresholding-guided stochastic fully-connected conditional random field model (2015) (19)
- Extracting High-Level Intuitive Features (HLIF) for Classifying Skin Lesions Using Standard Camera Images (2012) (19)
- Embedded Motion Detection via Neural Response Mixture Background Modeling (2016) (19)
- Quantification of cyanobacterial cells via a novel imaging-driven technique with an integrated fluorescence signature (2018) (19)
- KPAC: A Kernel-Based Parametric Active Contour Method for Fast Image Segmentation (2010) (19)
- Lens-free spectral light-field fusion microscopy for contrast- and resolution-enhanced imaging of biological specimens. (2015) (17)
- EmotionNet Nano: An Efficient Deep Convolutional Neural Network Design for Real-Time Facial Expression Recognition (2020) (17)
- Saliency-guided compressive sensing approach to efficient laser range measurement (2013) (17)
- A spectral-spatial fusion model for robust blood pulse waveform extraction in photoplethysmographic imaging (2016) (17)
- Discovery Radiomics via StochasticNet Sequencers for Cancer Detection (2015) (17)
- Discovery Radiomics for Multi-Parametric MRI Prostate Cancer Detection (2015) (17)
- SAPPHIRE: Stochastically acquired photoplethysmogram for heart rate inference in realistic environments (2016) (17)
- The Feasibility of Automated Identification of Six Algae Types Using Feed-Forward Neural Networks and Fluorescence-Based Spectral-Morphological Features (2018) (16)
- Adaptive Monte Carlo Retinex Method for Illumination and Reflectance Separation and Color Image Enhancement (2009) (16)
- Dual-stage correlated diffusion imaging (2015) (16)
- Hybrid structural and texture distinctiveness vector field convolution for region segmentation (2014) (16)
- ExoNet Database: Wearable Camera Images of Human Locomotion Environments (2020) (16)
- Multi-penalty conditional random field approach to super-resolved reconstruction of optical coherence tomography images. (2013) (16)
- Phase-Adaptive Superresolution of Mammographic Images Using Complex Wavelets (2009) (16)
- A Novel Motion Plane-Based Approach to Vehicle Speed Estimation (2019) (16)
- Saliency-guided projection geometric correction using a projector-camera system (2016) (16)
- A Local ROI-specific Atlas-based Segmentation of Prostate Gland and Transitional Zone in Diffusion MRI (2016) (15)
- Despeckling of Synthetic Aperture Radar Images Using Monte Carlo Texture Likelihood Sampling (2014) (15)
- Saliency detection via statistical non-redundancy (2012) (15)
- Soccer Video Structure Analysis by Parallel Feature Fusion Network and Hidden-to-Observable Transferring Markov Model (2017) (15)
- Enhanced classification of malignant melanoma lesions via the integration of physiological features from dermatological photographs (2014) (15)
- Unsupervised Domain Adaptation in Person re-ID via k-Reciprocal Clustering and Large-Scale Heterogeneous Environment Synthesis (2020) (15)
- JADE: Joint Autoencoders for Dis-Entanglement (2017) (15)
- How Much Can We Really Trust You? Towards Simple, Interpretable Trust Quantification Metrics for Deep Neural Networks (2020) (15)
- Efficient Multi-Modal Least-Squares Alignment of Medical Images Using Quasi-Orientation Maps (2006) (14)
- A novel approach to automated cell counting for studying human corneal epithelial cells (2011) (14)
- Comprehensive Analysis on the Effects of Noise Estimation Strategies on Image Noise Artifact Suppression Performance (2011) (14)
- Investigating the Automatic Classification of Algae Using the Spectral and Morphological Characteristics via Deep Residual Learning (2019) (14)
- A Novel Bayesian Spatial–Temporal Random Field Model Applied to Cloud Detection From Remotely Sensed Imagery (2017) (13)
- Evolution in Groups: A deeper look at synaptic cluster driven evolution of deep neural networks (2017) (13)
- Monte Carlo Bias Field Correction in Endorectal Diffusion Imaging (2014) (13)
- Image segmentation via multi-scale stochastic regional texture appearance models (2016) (13)
- Towards Efficient Spectrum Sensing for Cognitive Radio through Knowledge-Based Reasoning (2008) (13)
- Feature Extraction for Hyperspectral Imagery via Ensemble Localized Manifold Learning (2015) (13)
- Unsupervised Bayesian Classification of a Hyperspectral Image Based on the Spectral Mixture Model and Markov Random Field (2018) (13)
- Unsupervised classification of agricultural land cover using polarimetric synthetic aperture radar via a sparse texture dictionary model (2013) (13)
- K-P-Means: A Clustering Algorithm of K “Purified” Means for Hyperspectral Endmember Estimation (2014) (13)
- Illumination correction in dermatological photographs using multi-stage illumination modeling for skin lesion analysis (2012) (13)
- Fully Connected Continuous Conditional Random Field With Stochastic Cliques for Dark-Spot Detection In SAR Imagery (2016) (13)
- Scene Invariant Crowd Segmentation and Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG) (2016) (12)
- Quasi-random nonlinear scale space (2010) (12)
- Bayesian-based aberration correction and numerical diffraction for improved lensfree on-chip microscopy of biological specimens. (2015) (12)
- AttendNets: Tiny Deep Image Recognition Neural Networks for the Edge via Visual Attention Condensers (2020) (12)
- Human Centered Artificial Intelligence: Weaving UX into Algorithmic Decision Making (2019) (12)
- PIRM: Fast background subtraction under sudden, local illumination changes via probabilistic illumination range modelling (2015) (12)
- Fairest of Them All: Establishing a Strong Baseline for Cross-Domain Person ReID (2019) (12)
- Grid Seams: A Fast Superpixel Algorithm for Real-Time Applications (2014) (12)
- AttoNets: Compact and Efficient Deep Neural Networks for the Edge via Human-Machine Collaborative Design (2019) (11)
- Detecting Pulse Rates From Facial Videos Recorded in Unstable Lighting Conditions: An Adaptive Spatiotemporal Homomorphic Filtering Algorithm (2021) (11)
- Extraction of Endmembers From Hyperspectral Images Using A Weighted Fuzzy Purified-Means Clustering Model (2016) (11)
- Shot Boundary Detection Using Genetic Algorithm Optimization (2011) (11)
- High-resolution motion-compensated imaging photoplethysmography for remote heart rate monitoring (2015) (11)
- Multi-Scale Saliency-Guided Compressive Sensing Approach to Efficient Robotic Laser Range Measurements (2012) (11)
- A new take on measuring nutritional density: The feasibility of using a deep neural network to assess commercially-prepared puree concentrations (2017) (11)
- Radiomics Driven Diffusion Weighted Imaging Sensing Strategies for Zone-Level Prostate Cancer Sensing (2020) (11)
- IceSynth II: Synthesis of SAR Sea-Ice Imagery Using Region-Based Posterior Sampling (2010) (11)
- Spatial probabilistic pulsatility model for enhancing photoplethysmographic imaging systems (2016) (10)
- A Decoupled Approach to Illumination-Robust Optical Flow Estimation (2013) (10)
- Dynamic Markov-Chain Monte Carlo Channel Negotiation for Cognitive Radio (2010) (10)
- Prioritized Spectrum Sensing in Cognitive Radio Based on Spatiotemporal Statistical Fusion (2009) (10)
- An adaptive Monte Carlo approach to nonlinear image denoising (2008) (10)
- Reconstruction of compressive multispectral sensing data using a multilayered conditional random field approach (2014) (10)
- Shape-guided active contour based segmentation and tracking of lumbar vertebrae in video fluoroscopy using complex wavelets (2008) (10)
- Numerical Demultiplexing of Color Image Sensor Measurements via Non-linear Random Forest Modeling (2015) (10)
- Illumination-compensated non-contact imaging photoplethysmography via dual-mode temporally coded illumination (2015) (10)
- Monte Carlo despeckling of transrectal ultrasound images of the prostate (2012) (10)
- Prototyping the Automated Food Imaging and Nutrient Intake Tracking System: Modified Participatory Iterative Design Sprint (2019) (10)
- Robust Invariant Descriptor for Symbol-Based Image Recognition and Retrieval (2007) (10)
- An Iterative Approach to Improved Local Phase Coherence Estimation (2008) (10)
- Autonomous gait speed estimation using 24GHz FMCW radar technology (2018) (10)
- A Bayesian Residual Transform for Signal Processing (2014) (10)
- Real-Time, Embedded Scene Invariant Crowd Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG) (2016) (9)
- Image saliency detection via multi-scale statistical non-redundancy modeling (2014) (9)
- GenSynth: a generative synthesis approach to learning generative machines for generate efficient neural networks (2019) (9)
- Faster Nonlocal-Means Image Denoising using the FFT (2007) (9)
- Salient Region Detection Using Self-Guided Statistical Non-Redundancy in Natural Images (2016) (9)
- Spectrum Sensing in Cognitive Radio Using a Markov-Chain Monte-Carlo Scheme (2010) (9)
- Compensated Row-Column Ultrasound Imaging System Using Fisher Tippett Multilayered Conditional Random Field Model (2015) (9)
- Dynamically optimized spatiotemporal prioritization for spectrum sensing in cooperative cognitive radio (2010) (9)
- A Probabilistic Covariate Shift Assumption for Domain Adaptation (2015) (9)
- Discovery radiomics via evolutionary deep radiomic sequencer discovery for pathologically proven lung cancer detection (2017) (9)
- Fully automated corneal nerve segmentation algorithm for corneal nerves analysis from in-vivo UHR-OCT images (2019) (9)
- Statistical Textural Distinctiveness in Multi-Parametric Prostate MRI for Suspicious Region Detection (2015) (9)
- Specular Reflectance Suppression in Endoscopic Imagery via Stochastic Bayesian Estimation (2015) (9)
- Monte Carlo-based noise compensation in coil intensity corrected endorectal MRI (2015) (9)
- Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression From Chest CT Images (2021) (8)
- ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks (2018) (8)
- Time-Frequency Domain Analysis via Pulselets for Non-contact Heart Rate Estimation from Remotely Acquired Photoplethysmograms (2016) (8)
- Stochastic Channel Prioritization for Spectrum Sensing in Cooperative Cognitive Radio (2009) (8)
- Compressive fluorescence microscopy using saliency-guided sparse reconstruction ensemble fusion. (2012) (8)
- Detecting Pulse Wave From Unstable Facial Videos Recorded From Consumer-Level Cameras: A Disturbance-Adaptive Orthogonal Matching Pursuit (2020) (8)
- TimeConvNets: A Deep Time Windowed Convolution Neural Network Design for Real-time Video Facial Expression Recognition (2020) (8)
- VeNICE: A very deep neural network approach to no-reference image assessment (2017) (8)
- Fisher–Tippett Region-Merging Approach to Transrectal Ultrasound Prostate Lesion Segmentation (2011) (8)
- Natural scene segmentation based on a stochastic texture region merging approach (2013) (7)
- EdgeSegNet: A Compact Network for Semantic Segmentation (2019) (7)
- Backwards Compatible, Multi-Level Regions-of-Interest (ROI) Image Encryption Architecture with Biometric Authentication (2018) (7)
- Multi-scale stochastic color texture models for skin region segmentation and gesture detection (2013) (7)
- Simultaneous Gamma Correction and Registration in the Frequency Domain (2007) (7)
- Practical Content-Adaptive Subsampling for Image and Video Compression (2006) (7)
- Adaptive Nonlinear Image Denoising and Restoration Using a Cooperative Bayesian Estimation Approach (2008) (7)
- Where Does Trust Break Down? A Quantitative Trust Analysis of Deep Neural Networks via Trust Matrix and Conditional Trust Densities (2020) (7)
- Laser Light-field Fusion for Wide-field Lensfree On-chip Phase Contrast Microscopy of Nanoparticles (2016) (7)
- DeepLABNet: End-to-end Learning of Deep Radial Basis Networks with Fully Learnable Basis Functions (2019) (7)
- DeSupGAN: Multi-scale Feature Averaging Generative Adversarial Network for Simultaneous De-blurring and Super-Resolution of Retinal Fundus Images (2020) (7)
- Comparative Analysis of Environment Recognition Systems for Control of Lower-Limb Exoskeletons and Prostheses (2020) (7)
- Dynamic Representations Toward Efficient Inference on Deep Neural Networks by Decision Gates (2018) (7)
- Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification (2017) (7)
- Comparative Analysis of Gait Speed Estimation Using Wideband and Narrowband Radars, Thermal Camera, and Motion Tracking Suit Technologies (2020) (7)
- OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection (2021) (7)
- Compensated Row-Column Ultrasound Imaging System Using Multilayered Edge Guided Stochastically Fully Connected Random Fields (2017) (7)
- Unsupervised Bayesian Subpixel Mapping of Hyperspectral Imagery Based on Band-Weighted Discrete Spectral Mixture Model and Markov Random Field (2021) (7)
- Taking a Stance on Fake News: Towards Automatic Disinformation Assessment via Deep Bidirectional Transformer Language Models for Stance Detection (2019) (7)
- Real-Time Embedded Motion Detection via Neural Response Mixture Modeling (2018) (7)
- Deep Neural Network Perception Models and Robust Autonomous Driving Systems: Practical Solutions for Mitigation and Improvement (2021) (7)
- Generalized Probabilistic Scale Space for Image Restoration (2010) (7)
- Auto‐calibration of a projector–camera stereo system for projection mapping (2016) (7)
- Perceptually-adaptive color enhancement of still images for individuals with dichromacy (2008) (7)
- Interactive Modeling and Evaluation of Tumor Growth (2010) (6)
- Fully-Automatic Semantic Segmentation for Food Intake Tracking in Long-Term Care Homes (2019) (6)
- Tensor vector field based active contours (2011) (6)
- Real-Time Vehicle Make and Model Recognition Using Unsupervised Feature Learning (2020) (6)
- Segmentation of Prostate in Diffusion MR Images via Clustering (2017) (6)
- Hybrid Video Compression Using Selective Keyframe Identification and Patch-Based Super-Resolution (2011) (6)
- Expert Knowledge Based Automatic Regions-of-Interest (ROI) Selection in Scanned Documents for Digital Image Encryption (2006) (6)
- Discovery Radiomics via Deep Multi-Column Radiomic Sequencers for Skin Cancer Detection (2017) (6)
- Synthesis of Remote Sensing Label Fields Using a Tree-Structured Hierarchical Model (2011) (6)
- Explaining with Impact: A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms (2019) (6)
- Improved fine structure modeling via guided stochastic clique formation in fully connected conditional random fields (2015) (6)
- HyperStackNet: A Hyper Stacked Hourglass Deep Convolutional Neural Network Architecture for Joint Player and Stick Pose Estimation in Hockey (2018) (6)
- A Bayesian Joint Decorrelation and Despeckling of SAR Imagery (2019) (6)
- A new Bayesian source separation approach to blind decorrelation of SAR data (2010) (6)
- A KPCA texture feature model for efficient segmentation of RADARSAT-2 SAR sea ice imagery (2014) (6)
- Indirect Knowledge-Based Approach to Non-Rigid Multi-Modal Registration of Medical Images (2007) (6)
- Single-click, semi-automatic lung nodule contouring using hierarchical conditional random fields (2015) (6)
- StressedNets: Efficient Feature Representations via Stress-induced Evolutionary Synthesis of Deep Neural Networks (2018) (6)
- Multi-Parametric Clustering for Sensor Node Coordination in Cognitive Wireless Sensor Networks (2013) (6)
- Unsupervised Feature Learning Toward a Real-time Vehicle Make and Model Recognition (2018) (6)
- Affine Variational Autoencoders: An Efficient Approach for Improving Generalization and Robustness to Distribution Shift (2019) (5)
- Depth from Defocus via Active Quasi-random Point Projections (2016) (5)
- Automatic registration of inter-band and inter-sensor images using robust complex wavelet feature representations (2008) (5)
- Dense Depth Map Reconstruction from Sparse Measurements Using a Multilayer Conditional Random Field Model (2015) (5)
- A Deep-Structured Conditional Random Field Model for Object Silhouette Tracking (2015) (5)
- Remote Heart Rate Measurement through Broadband Video via Stochastic Bayesian Estimation (2015) (5)
- An Adaptive Monte Carlo Approach to Phase-Based Multimodal Image Registration (2010) (5)
- Discovery Radiomics for Imaging-driven Quantitative Personalized Cancer Decision Support (2015) (5)
- Retrieval and Mapping of Heavy Metal Concentration in Soil Using Time Series Landsat 8 Imagery (2018) (5)
- Cancer-Net SCa: tailored deep neural network designs for detection of skin cancer from dermoscopy images (2020) (5)
- Superpixel-based Prostate Cancer Detection from Diffusion Magnetic Resonance Imaging (2015) (5)
- IceSynth: An Image Synthesis System for Sea-Ice Segmentation Evaluation (2009) (5)
- Implications of Computer Vision Driven Assistive Technologies Towards Individuals with Visual Impairment (2019) (5)
- AN EFFICIENT , PARALLEL MULTI-KEY ENCRYPTION OF COMPRESSED VIDEO STREAMS (2006) (5)
- A novel 3D approach for the extraction of the wetting front in CT images of soil profiles (2013) (5)
- Noise-Compensated, Bias-Corrected Diffusion Weighted Endorectal Magnetic Resonance Imaging via a Stochastically Fully-Connected Joint Conditional Random Field Model (2015) (5)
- EFFICIENT DEBLOCKING OF BLOCK-TRANSFORM COMPRESSED IMAGES AND VIDEO USING SHIFTED THRESHOLDING (2006) (5)
- Multi-scale tensor vector field active contour (2012) (5)
- Robust Hough-Based Symbol Recognition Using Knowledge-Based Hierarchical Neural Networks (2008) (5)
- Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification (2020) (5)
- Learning Efficient Deep Feature Representations via Transgenerational Genetic Transmission of Environmental Information During Evolutionary Synthesis of Deep Neural Networks (2017) (5)
- Tiger: A texture-illumination guided energy response model for illumination robust local saliency (2015) (5)
- Physiological characterization of skin lesion using non-linear random forest regression model (2014) (5)
- Bag of Bags: Nested Multi Instance Classification for Prostate Cancer Detection (2016) (5)
- Virtual spectral multiplexing for applications in in-situ imaging microscopy of transient phenomena (2015) (5)
- Illumination invariant active contour-based segmentation using complex-valued wavelets (2008) (5)
- Random feature maps via a Layered Random Projection (LARP) framework for object classification (2016) (4)
- 63‐3: Real‐time Spatial‐based Projector Resolution Enhancement (2018) (4)
- Sequential Deep Learning for In-Home Activity Monitoring Using mm-Wave FMCW Radar (2021) (4)
- QMCTLS: Quasi Monte Carlo Texture Likelihood Sampling for Despeckling of Complex Polarimetric SAR Images (2015) (4)
- A Weakly Supervised Learning Approach based on Spectral Graph-Theoretic Grouping (2015) (4)
- Efficient Inference on Deep Neural Networks by Dynamic Representations and Decision Gates (2018) (4)
- SEC: Stochastic Ensemble Consensus Approach to Unsupervised SAR Sea-Ice Segmentation (2009) (4)
- OLIV: An Artificial Intelligence-Powered Assistant for Object Localization for Impaired Vision (2018) (4)
- URC: Unsupervised regional clustering of remote sensing imagery (2014) (4)
- Non-contact assessment of obstructive sleep apnea cardiovascular biomarkers using photoplethysmography imaging (2018) (4)
- SAMSON: Spectral Absorption-fluorescence Microscopy System for ON-site-imaging of algae (2018) (4)
- A Portable Plug-and-Play Imaging System for Physiological Monitoring (2015) (4)
- An Enhanced Probabilistic Posterior Sampling Approach for Synthesizing SAR Imagery With Sea Ice and Oil Spills (2017) (4)
- Democratisation of Usable Machine Learning in Computer Vision (2019) (4)
- Remote sensing image synthesis (2010) (4)
- Sparse reconstruction of compressive sensing MRI using cross-domain stochastically fully connected conditional random fields (2015) (4)
- Deep Randomly-Connected Conditional Random Fields For Image Segmentation (2017) (4)
- A Hardware Implementation of Real-Time Video Deblocking Using Shifted Thresholding (2007) (4)
- A Deep-Structured Fully Connected Random Field Model for Structured Inference (2014) (4)
- Robust Spectral Clustering Using Statistical Sub-Graph Affinity Model (2013) (4)
- Prostate DWI co-registration via maximization of hybrid statistical likelihood and cross-correlation for improved ADC and computed ultra-high b-value DWI calculation (2014) (4)
- AI-enabled remote and objective quantification of stress at scale (2020) (4)
- Sparse reconstruction of compressed sensing multispectral data using a cross-spectral multilayered conditional random field model (2015) (4)
- Stimulus-specific pupil dynamics measured in birds (Gallus gallus domesticus) in vivo with ultrahigh resolution optical coherence tomography. (2012) (4)
- Sparse Reconstruction of Compressive Sensing Multi-Spectral Data Using an Inter-Spectral Multi-Layered Conditional Random Field Model (2016) (4)
- Exploring the Imposition of Synaptic Precision Restrictions For Evolutionary Synthesis of Deep Neural Networks (2017) (4)
- Lens-free Multi-Laser Spectral Light-Field Fusion Microscopy (2015) (4)
- Hallway Gait Monitoring Using Novel Radar Signal Processing and Unsupervised Learning (2022) (4)
- Enhanced dual-stage correlated diffusion imaging (2016) (4)
- The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations Through Sexual Evolutionary Synthesis (2017) (4)
- High dynamic range map estimation via fully connected random fields with stochastic cliques (2015) (3)
- Estimation Of Iron Concentration In Soil Of A Mining Area From Uav-Based Hyperspectral Imagery (2019) (3)
- Deep Tissue Sequencing Using Hypodermoscopy and Augmented Intelligence to Analyze Atypical Pigmented Lesions (2018) (3)
- Resolution- and throughput-enhanced spectroscopy using high-throughput computational slit (2016) (3)
- Efficient and Robust Non-Rigid Least-Squares Rectification of Medical Images (2006) (3)
- Photoplethysmographic imaging via spectrally demultiplexed erythema fluctuation analysis for remote heart rate monitoring (2016) (3)
- A parameterizable SIMD stream processor (2005) (3)
- Saliency-guided compressive fluorescence microscopy (2012) (3)
- Combining rotation forests and adaboost for hyperspectral imagery classification using few labeled samples (2014) (3)
- DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for Monocular Depth Estimation (2020) (3)
- Noise-compensated homotopic non-local regularized reconstruction for rapid retinal optical coherence tomography image acquisitions (2014) (3)
- SRP: Efficient class-aware embedding learning for large-scale data via supervised random projections (2018) (3)
- Quantitative features for computer-aided melanoma classification using spatial heterogeneity of eumelanin and pheomelanin concentrations (2015) (3)
- Alignment of Confocal Scanning Laser Ophthalmoscopy Photoreceptor Images at Different Polarizations Using Complex Phase Relationships (2009) (3)
- Spatio-temporal saliency detection using abstracted fully-connected graphical models (2016) (3)
- Scalable image segmentation via decoupled sub-graph compression (2017) (3)
- Comparative Study of Classification Methods for Surficial Materials in the Umiujalik Lake Region Using RADARSAT-2 Polarimetric, Landsat-7 Imagery and DEM Data (2015) (3)
- In-Package Integrated Dielectric Lens Paired with a MIMO mm-Wave Radar for Corridor Gait Monitoring (2021) (3)
- Insights into Fairness through Trust: Multi-scale Trust Quantification for Financial Deep Learning (2020) (3)
- Difference of Circles Feature Detector (2012) (3)
- Efficient Globally Optimal Registration of Remote Sensing Imagery via Quasi-Random Scale-Space Structural Correlation Energy Functional (2011) (3)
- Automated enumeration and size distribution analysis of Microcystis aeruginosa via fluorescence imaging (2016) (3)
- Bayesian-based deconvolution fluorescence microscopy using dynamically updated nonparametric nonstationary expectation estimates (2015) (3)
- Correlating optical coherence tomography images with dose distribution in late oral radiation toxicity patients (2014) (3)
- Sea Ice Surface Temperature Estimation Using MODIS and AMSR-E Data Within a Guided Variational Model Along the Labrador Coast (2014) (3)
- Assessing photoplethysmographic imaging performance beyond facial perfusion analysis (2017) (3)
- Comparison of Gait Speed Estimation of Multiple Sensor-Based Technologies (2019) (3)
- Multi-polarimetric textural distinctiveness for outdoor robotic saliency detection (2015) (3)
- Multi-projector Resolution Enhancement Through Biased Interpolation (2018) (3)
- Polyploidism in Deep Neural Networks: m-Parent Evolutionary Synthesis of Deep Neural Networks in Varying Population Sizes (2017) (3)
- Adaptive Normal Map Compression for 3 D Video Games (2006) (3)
- Semi-automatic Fisher-Tippett guided active contour for lumbar multifidus muscle segmentation (2014) (3)
- Inference of dense spectral reflectance images from sparse reflectance measurement using non-linear regression modeling (2015) (3)
- Numerical Spectral Demulitplexing Microscopy of Measurements from an Anatomical Specimen (2015) (3)
- Deblocking of Block-Transform Compressed Images Using Phase-Adaptive Shifted Thresholding (2008) (3)
- Robust Non-saliency Guided Watermarking (2016) (3)
- A Compact Field-portable Computational Multispectral Microscope using Integrated Raspberry Pi (2016) (3)
- DESIRe: Discontinuous energy seam carving for image retargeting via structural and textural energy functionals (2015) (3)
- AEGIS: A real-time multimodal augmented reality computer vision based system to assist facial expression recognition for individuals with autism spectrum disorder (2020) (2)
- Enhanced Smartphone Spectroscopy via High-throughput Computational Slit (2016) (2)
- Stochastic color image segmentation using spatial constraints (2015) (2)
- Depth from Defocus via Active Quasi-random Point Projections: A Deep Learning Approach (2017) (2)
- Compact, Field-Portable Lens-free Microscope using Superresolution Spatio-Spectral Light-field Fusion (2016) (2)
- Spectral photoplethysmographic imaging sensor fusion for enhanced heart rate detection (2016) (2)
- Adaptive large scale artifact reduction in edge-based image super-resolution (2007) (2)
- A Flexible Content-Based Approach to Adaptive Image Compression (2006) (2)
- Integration of Random Forests and MM-Wave FMCW Radar Technology for Gait Recognition (2019) (2)
- A Bayesian Multi-Scale Framework for Photoplethysmogram Imaging Waveform Processing (2016) (2)
- A Bayesian Joint Decorrelation and Despeckling approach for speckle reduction of SAR Images (2015) (2)
- DeepPredict: A deep predictive intelligence platform for patient monitoring (2017) (2)
- Depth Profilometry via Multiplexed Optical High-Coherence Interferometry (2015) (2)
- Adaptive multiple texture approach to texture packing for 3D video games (2007) (2)
- Semi-Automatic Normalized Entropy Characterization of Metastatic Renal Cell Cancer via Spatio-Textural Tumour Classification (2014) (2)
- State of Compact Architecture Search For Deep Neural Networks (2019) (2)
- Automatic Framework for Extraction and Characterization of Wetting Front Propagation Using Tomographic Image Sequences of Water Infiltrated Soils (2015) (2)
- Nature vs. Nurture: The Role of Environmental Resources in Evolutionary Deep Intelligence (2018) (2)
- TriResNet: A Deep Triple-stream Residual Network for Histopathology Grading (2018) (2)
- Vulnerability Under Adversarial Machine Learning: Bias or Variance? (2020) (2)
- Nonlocal Band-Weighted Iterative Spectral Mixture Model for Hyperspectral Imagery Denoising (2020) (2)
- Ensembles of Random Projections for Nonlinear Dimensionality Reduction (2017) (2)
- Hierarchical Grouping Approach for Fast Approximate RGB-D Scene Flow (2016) (2)
- Enhanced depth from defocus via active quasi-random colored point projections (2017) (2)
- Active Contours for Measuring Arterial Wall Diameter of Astronauts from Ultrasound Images (2015) (2)
- Tensor total variation approach to optical coherence tomography reconstruction for improved visualization of retinal microvasculature (2011) (2)
- JEDI: Adaptive Stochastic Estimation for Joint Enhancement and Despeckling of Images for SAR (2009) (2)
- DESIRe: Discontinuous energy seam carving for image retargeting via structural and textural energy functionals (2015) (2)
- Efficient Deep Feature Learning and Extraction via StochasticNets (2015) (2)
- Where Should We Begin? A Low-Level Exploration of Weight Initialization Impact on Quantized Behaviour of Deep Neural Networks (2020) (2)
- Dermal Radiomics for Melanoma Screening (2015) (2)
- Automatic Skin Lesion Segmentation via Iterative (2011) (2)
- Towards Computer Vision Powered Color-Nutrient Assessment of Puréed Food (2019) (2)
- Integrated computational imaging system for enhanced polarimetric measurements (2015) (2)
- 35.1: Distinguished Paper: Auto‐Calibration for Screen Correction and Point Cloud Generation (2015) (2)
- Return of grid seams: A superpixel algorithm using discontinuous multi-functional energy seam carving (2015) (2)
- Quasi-Random Scale Space Approach to Robust Keypoint Extraction in High-Noise Environments (2010) (2)
- Mammogram Image Superresolution Based on Statistical Moment Analysis (2010) (2)
- Perceptually-Adaptive Image Super-Resolution using Statistical Methods (2008) (2)
- Unsupervised classification of sea-ice using synthetic aperture radar via an adaptive texture sparsifying transform (2013) (2)
- A Bayesian Theoretic Approach to Multiscale Complex-Phase-Order Representations (2012) (2)
- Multispectral digital holographic microscopy with applications in water quality assessment (2015) (2)
- Synthesizing Deep Neural Network Architectures using Biological Synaptic Strength Distributions (2017) (2)
- A Comprehensive Spectral Analysis of the Auto-fluorescence Characteristics of Three Algae Species at Twelve Discrete Excitation Wavelengths (2017) (2)
- Adaptive Perceptual Degradation Based on Video Usage (2006) (1)
- The feasibility of automated identification of six algae types using neural networks and fluorescence-based spectral-morphological features (2018) (1)
- Computerized Enumeration and Bio-volume Estimation of the Cyanobacteria Anabaena flos-aquae (2016) (1)
- Computational circular dichroism estimation for point-of-care diagnostics via vortex half-wave retarders (2018) (1)
- Investigating the Automatic Classification of Algae Using Fusion of Spectral and Morphological Characteristics of Algae via Deep Residual Learning (2018) (1)
- Deep Tissue Sequencing Using Augmented Intelligence to Probe Melanocytic Lesions (2017) (1)
- Bayesian Compensated Microscopy (2016) (1)
- Concurrent fluorescence macro-imaging across multiple spectral regions in the visible and the near infrared (2015) (1)
- Non-contact assessment of melanin distribution via multispectral temporal illumination coding (2015) (1)
- Differential color space analysis for investigating nutrient content in a puréed food dilution-flavor matrix: a step toward objective malnutrition risk assessment (2018) (1)
- Human-Machine Collaborative Design for Accelerated Design of Compact Deep Neural Networks for Autonomous Driving (2019) (1)
- Non-contact transmittance photoplethysmographic imaging (PPGI) for long-distance cardiovascular monitoring (2015) (1)
- Simultaneous Scene Reconstruction and Auto-Calibration Using Constrained Iterative Closest Point for 3D Depth Sensor Array (2015) (1)
- Axial resolution improvement in spectral domain optical coherence tomography using a depth-adaptive maximum-a-posterior framework (2015) (1)
- Progressive Label Distillation: Learning Input-Efficient Deep Neural Networks (2019) (1)
- MonolithNet: Training monolithic deep neural networks via a partitioned training strategy (2018) (1)
- Low-dose computed tomography via spatially adaptive Monte-Carlo reconstruction (2013) (1)
- Optimized sampling distribution based on nonparametric learning for improved compressive sensing performance (2015) (1)
- Constrained Bayesian streak artifact reduction approach for contrast enhanced computed tomography imaging of the intervertebral disc (2011) (1)
- Deep Neural Network Perception Models and Robust Autonomous Driving Systems (2020) (1)
- Enhanced reconstruction of compressive sensing MRI via cross-domain stochastically fully-connected random field model (2014) (1)
- Deep Quality: A Deep No-reference Quality Assessment System (2016) (1)
- A Bayesian Information Flow Approach to Image Segmentation (2010) (1)
- Intelligent multi-level regions-of-interest (ROI) document image encryption using an online learning model (2007) (1)
- Sparse Correlated Diffusion Imaging: A New Computational Diffusion MRI Modality for Prostate Cancer Detection (2016) (1)
- Polynomial self-similarity for object classification (2013) (1)
- Comparative study of feature space projection methods for hyperspectral image classification (2014) (1)
- Assessing Architectural Similarity in Populations of Deep Neural Networks (2019) (1)
- An inverse problem approach to computational active depth from defocus (2018) (1)
- Comparison of Corneal Thickness Measured with Swept Source Anterior Segment Optical Coherence Tomographer, Pentacam and Ultrasound (2014) (1)
- Phase-adaptive image signal fusion using complex-valued wavelets (2008) (1)
- PolyNeuron: Automatic Neuron Discovery via Learned Polyharmonic Spline Activations (2018) (1)
- Comparison of unsupervised segmentation methods for surficial materials mapping in Nunavut, Canada using RADARSAT-2 polarimetric, Landsat-7, and DEM data (2014) (1)
- Mitigating Architectural Mismatch During the Evolutionary Synthesis of Deep Neural Networks (2018) (1)
- A unified Bayesian-based compensated magnetic resonance imaging (2016) (1)
- TIGGER: A Texture-Illumination Guided Global Energy Response Model for Illumination Robust Object Saliency (2016) (1)
- Deep Residual Transform for Multi-scale Image Decomposition (2021) (1)
- Efficient and Robust Approach to Simultaneous Non-Rigid Registration and Gamma Estimation in the Frequency Domain (2008) (1)
- Scalable multi-neighborhood learning for convolutional networks (2015) (1)
- EvoNet: Evolutionary Synthesis of Deep Neural Networks (2016) (1)
- Compensated Row-Column Ultrasound Imaging System Using Three Dimensional Random Fields (2017) (1)
- Depth from Defocus via Active Multispectral Quasi-random Point Projections using Deep Learning (2017) (1)
- Cognitive-Empowered Femtocells: An Intelligent Paradigm for Femtocell Networks (2018) (1)
- A new software for determining changes in arterial diameter over time (2016) (1)
- FactorizeNet: Progressive Depth Factorization for Efficient Network Architecture Exploration Under Quantization Constraints (2020) (1)
- NONPARAMETRIC SAMPLE-BASED METHODS FOR IMAGE UNDERSTANDING (2011) (1)
- Non-parametric Bayesian estimation of apparent diffusion coefficient from diffusion-weighted magnetic resonance imaging data (2012) (1)
- A Machine Learning-Driven Approach to Computational Physiological Modeling of Skin Cancer (2017) (1)
- Homotopic non-local regularized reconstruction from sparse positron emission tomography measurements (2015) (1)
- Optimized Correlated Diffusion Imaging for Prostate Cancer Detection (2016) (1)
- Statistical Conditional Sampling for Variable-Resolution Video Compression (2012) (1)
- Co-integrating thermal and hemodynamic imaging for physiological monitoring (2016) (1)
- AI-Powered Non-Contact In-Home Gait Monitoring and Activity Recognition System Based on mm-Wave FMCW Radar and Cloud Computing (2022) (1)
- Non-Visual and Contactless Wellness Monitoring for Long Term Care Facilities Using mm-Wave Radar Sensors (2022) (1)
- StochasticNet in StochasticNet (2016) (0)
- 2846 Semi-automatic Prostate Segmentation via a Hidden Markov Model with Anatomical and Textural Priors (2014) (0)
- A unified Bayesian-based compensated magnetic resonance imaging. (2016) (0)
- Robust Edge Detection Based on Non-local Contribution of Local Frequency Characteristics (2008) (0)
- A multispectral Bayesian-based computational microscopy method for enhancing image quality (2019) (0)
- Noise-compensated bias correction of MRI via a stochastically fully-connected conditional random field model (2014) (0)
- Non-contact arrhythmia assessment in natural settings: a step toward preventive cardiac care (2017) (0)
- Markov-chain Monte Carlo-based image reconstruction for streak artefact reduction on contrast-enhanced computed tomography (2013) (0)
- Novel interactive approach to intra-retinal layer segmentation from optical coherence tomography images (2009) (0)
- PlasticNet: Deep Learning for Automatic Microplastic Recognition via FT-IR Spectroscopy (2021) (0)
- Wearable RGB Camera Images of Human Locomotion Environments (2020) (0)
- A Visual-Inertial Hybrid Controller Approach to Improving Immersion in 3D Video Games (2008) (0)
- Affine Variational Autoencoders (2019) (0)
- An Innovative Eigenvector-Based Method for Traffic Light Scheduling (2020) (0)
- Identifying and interpreting tuning dimensions in deep networks (2020) (0)
- Compensated Diffusion Magnetic Resonance Imaging (2015) (0)
- Clusters and Prognostic Signatures Specific for Lung Cancer (2016) (0)
- Monte Carlo cluster refinement for noise robust image segmentation (2012) (0)
- SANE: Exploring Adversarial Robustness With Stochastically Activated Network Ensembles (2019) (0)
- Robust control point detection for aerial synthetic aperture radar via a logarithmic quasi-random scale space framework (2011) (0)
- Quantification of cyanobacterial cells via a novel imaging-driven technique with an integrated fluorescence signature (2018) (0)
- GenSyth: a new way to understand deep learning (2019) (0)
- Simultaneous multi-modal registration of multiple images based on multi-dimensional joint phase moment distributions (2008) (0)
- Non-contact wide-field hemodynamic imaging reveals the inverted jugular venous pulse waveform (2016) (0)
- Perceptual Structure Distortion Ratio: An Image Quality Metric Based on Robust Measures of Complex Phase Order (2012) (0)
- KPTransfer: improved performance and faster convergence from keypoint subset-wise domain transfer in human pose estimation (2019) (0)
- Inter-layer Information Similarity Assessment of Deep Neural Networks Via Topological Similarity and Persistence Analysis of Data Neighbour Dynamics (2020) (0)
- Multi-Neighborhood Convolutional Networks (2015) (0)
- In vivo Volumetric Imaging of the Vogt Palisades with Ultrahigh Resolution Optical Coherence Tomography (2012) (0)
- Phase-Adaptive Superresolution of Mammographic Images (2009) (0)
- Food for thought: Ethical considerations of user trust in computer vision (2019) (0)
- Practical Perceptually Adaptive Color Texture Map Compression for 3D Video Games (2007) (0)
- FEELS: a full-spectrum enhanced emotion learning system for assisting individuals with autism spectrum disorder (2018) (0)
- Structure and vasculature of the human corneo-scleral limbus as imaged in-vivo with sub-micrometer axial resolution OCT (2016) (0)
- Despeckling vs averaging of retinal UHROCT tomograms: advantages and limitations (2011) (0)
- Multi-scale 3D representation via volumetric quasi-random scale space (2011) (0)
- Stochastic Receptive Fields in Deep Convolutional Networks (2015) (0)
- Radiomics Features Analysis for Tumor Characterization in Pancreatic Ductal Adenocarcinoma (2016) (0)
- Deep Learning-Driven Depth from Defocus via Active Multispectral Quasi-Random Projections with Complex Subpatterns (2018) (0)
- Unsupervised Deep Shape from Template (2019) (0)
- Nebula: Live Dynamic Projection Mapping via Object Saliency (2017) (0)
- Pecsi: a Practical Perceptually-Enhanced Compression Framework for Still Images (2009) (0)
- Discovery Radiomics for Detection of Severely Atypical Melanocytic Lesions (SAML) from Skin Imaging via Deep Residual Group Convolutional Radiomic Sequencer (2019) (0)
- Spectral variation constrained power spectral density estimation for wideband spectrum sensing (2010) (0)
- Probabilistic complex phase representation objective function for multimodal image registration (2010) (0)
- Multi-Projector Content Preservation with Linear Filters (2018) (0)
- A Conditional Random Field Weakly Supervised Segmentation Approach for Segmenting keratocytes Cells in Corneal Optical Coherence Tomography Images (2015) (0)
- A Novel Hierarchical Model-Based Frame Rate Up-Conversion via Spatio-temporal Conditional Random Fields (2011) (0)
- Prototyping the Automated Food Imaging and Nutrient Intake Tracking System: Modified Participatory Iterative Design Sprint (Preprint) (2018) (0)
- Seeing Convolution Through the Eyes of Finite Transformation Semigroup Theory: An Abstract Algebraic Interpretation of Convolutional Neural Networks (2019) (0)
- Automatic tracking of pupillary dynamics from in vivo functional optical coherence tomography images (2016) (0)
- Digital Holographic Microscopy (2019) (0)
- Improved OCT Human Corneal segmentation Using Bayesian Residual Transform (2016) (0)
- Sports Field Localization using Memory Networks (2019) (0)
- Decision Aids for Health & Performance Extracting aerobic system dynamics during unsupervised activities of daily living using wearable sensor machine learning models (2018) (0)
- Efficient and Scalable Image Segmentation Using Bag-of-Features and Stochastic Region Merging (2015) (0)
- Enabling Computer Vision Driven Assistive Devices for the Visually Impaired via Micro-architecture Design Exploration (2019) (0)
- Noise Suppression and Contrast Enhancement via Bayesian Residual Transform (BRT) in Low-Light Conditions (2016) (0)
- Self-Gradient Networks (2020) (0)
- Resolution-enhanced digital epiluminescence microscopy using deep computational optics (2019) (0)
- Unsupervised Learning for Hallway Gait Analysis using FMCW Radar (2022) (0)
- Compensated Row-Column Ultrasound Imaging System Using Edge-Guided Three Dimensional Random Fields (2017) (0)
- STeW: Real-time Video Facial Emotion Classification via a Compact Sliding Temporal Windowed Deep Neural Network (2019) (0)
- Hallway Gait Monitoring System Using an In-Package Integrated Dielectric Lens Paired with a mm-Wave Radar (2022) (0)
- Intuitive Data-Driven Visualization of Food Relatedness via t-Distributed Stochastic Neighbor Embedding (2018) (0)
- A Comparative Study Between Apparent Diffusion Imaging and Correlated Diffusion Imaging for Prostate Cancer (2019) (0)
- Decompressing Perceptually Adaptive Normal Map Compression (PANMC) images in hardware (2008) (0)
- NeRD: A Neural Response Divergence Approach to Visual Saliency Detection (2016) (0)
- Continuous sea ice thickness estimation using a joint MODIS and AMSR-E guided variational model (2013) (0)
- A Multi-layer Perceptron Approach to Automatically Detect Tissue via NIR Multispectral Imaging (2017) (0)
- Enhanced dual-stage correlated diffusion imaging. (2016) (0)
- Zone-DR: Discovery Radiomics via Zone-level Deep Radiomic Sequencer Discovery for Zone-based Prostate Cancer Grading using Diffusion Weighted Imaging (2019) (0)
- Compensated Row-Column Ultrasound Imaging Systems with Data-Driven Point Spread Function Learning (2019) (0)
- Restoration of block-transform compressed images via homotopic regularized sparse reconstruction (2015) (0)
- A Random Field Computational Adaptive Optics Framework for Optical Coherence Microscopy (2019) (0)
- Illumination Robust Facial Feature Detection via Decoupled Illumination and Texture Features (2015) (0)
- A structure-guided conditional sampling model for video resolution enhancement (2011) (0)
- 2D-Multiple Signal Processing Approach to Human Orientation Monitoring Using Millimeter-wave FMCW Radar (2019) (0)
- Practical Perceptually Adaptive Approach to Video Logo Placement in TV Broadcasts (2007) (0)
- Depth Compensated Spectral Domain Optical Coherence Tomography via Digital Compensation (2015) (0)
- Enhanced spectral lightfield fusion microscopy via deep computational optics for whole-slide pathology (2019) (0)
- An Integrated Systems Design Framework for Computational Polarimetry (2015) (0)
- Goldilocks and the Three Parameters:Empirically Finding the "Just Right" for Segmenting Food Images for the AFINI-T System (2017) (0)
- Computational and Experimental Model to Study Immunobead-Based Assays in Microfluidic Mixing Platforms. (2022) (0)
- Enhancing Food Intake Tracking in Long-term Care With Automated Food Imaging and Nutrient Intake Tracking (AFINI-T) Technology: Validation and Feasibility Assessment (2021) (0)
- Comparative Analysis of Gait Speed Estimation Using Wideband and Narrowband Radars, Thermal Camera, and Motion Tracking Suit Technologies (2020) (0)
- Computational laser intensity stabilisation for organic molecule concentration estimation in low-resource settings (2017) (0)
- A Review of Image Registration Methods in Medical Imaging (2019) (0)
- Image Restoration via Deep-Structured Stochastically Fully-Connected Conditional Random Fields (DSFCRFs) for Very Low-Light Conditions (2016) (0)
- Efficient Network Structure via Ensemble Deep Evolutionary Synthesis (2018) (0)
- Integrating Multispectral Hemodynamic Imaging for Bulk Tissue Oxygenation Analysis (2017) (0)
- Efficient Deep Network Architecture for Vision-Based Vehicle Detection Keyvan Kasiri, (2017) (0)
- N E ] 1 5 O ct 2 01 9 State of Compact Architecture Search For Deep Neural Networks (2019) (0)
- Forming A Random Field via Stochastic Cliques: From Random Graphs to Fully Connected Random Fields (2015) (0)
- Non-contact hematoma damage and healing assessment using reflectance photoplethysmographic imaging (2016) (0)
- Compact, Field-Portable Smartphone Chiral Molecule Concentration Estimation System via Multi-sensor Computational Polarimetry (2016) (0)
- Domain Adaptation and Transfer Learning in StochasticNets (2015) (0)
- Laser light-field fusion for wide-field lensfree on-chip phase contrast nanoscopy (2016) (0)
- 212 Characterization of Medical Images using Edge Density and Local Directional (2015) (0)
- Illumination-Guided Stereo Correspondence (2015) (0)
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What Schools Are Affiliated With Alexander Wong?
Alexander Wong is affiliated with the following schools:
