Paul S. Babyn

Orcid: 0000-0001-8965-7305

According to our database1, Paul S. Babyn authored at least 74 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Low-Dose CT Image Denoising with a Residual Multi-scale Feature Fusion Convolutional Neural Network and Enhanced Perceptual Loss.
Circuits Syst. Signal Process., April, 2024

Deep learning-based age estimation from chest CT scans.
Int. J. Comput. Assist. Radiol. Surg., January, 2024

Automatic Lung Segmentation in Chest X-Ray Images using Dilated Dense-ResUNet.
Proceedings of the 12th IEEE International Symposium on Signal, 2024

Neonatal Brain MRI Image Segmentation Using U-Net With Enhanced Edge Detection Layers.
Proceedings of the 12th IEEE International Symposium on Signal, 2024

Rib Segmentation in Surgical Images for Video-Assisted Thoracoscopic Surgery.
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

2023
A novel scheduling method for reduction of both waiting time and travel time of patients to visit health care units in the case of mobile communication.
Enterp. Inf. Syst., December, 2023

Applications of deep learning to reduce the need for iodinated contrast media for CT imaging: a systematic review.
Int. J. Comput. Assist. Radiol. Surg., October, 2023

Classification of endoscopic image and video frames using distance metric-based learning with interpolated latent features.
Multim. Tools Appl., September, 2023

Context-based Ontology Modelling for Database: Enabling ChatGPT for Semantic Database Management.
CoRR, 2023

Multi-Scale Dilation with Residual Fused Attention Network for Low Dose CT Noise Artifact Reductions.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

UNeXt: a Low-Dose CT denoising UNet model with the modified ConvNeXt block.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Gradient-based Optimization Algorithm for Hybrid Loss Function in Low-dose CT Denoising.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Dilated Convolution ResNet with Boosting Attention Modules and Combined Loss Functions for LDCT Image Denoising.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Automatic Detection and Classification of Multiple Catheters in Neonatal Radiographs with Deep Learning.
J. Digit. Imaging, 2021

Multiclass Anomaly Detection in GI Endoscopic Images using Optimized Deep One-class Classification in an Imbalanced Dataset.
CoRR, 2021

Siamese Network Features for Endoscopy Image and Video Localization.
CoRR, 2021

Low Dose CT Image Denoising Using Boosting Attention Fusion GAN with Perceptual Loss.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Cascaded Learning with Generative Adversarial Networks for Low Dose CT Denoising.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Automatic Catheter and Tube Detection in Pediatric X-ray Images Using a Scale-Recurrent Network and Synthetic Data.
J. Digit. Imaging, 2020

Deep Learning for Low-Dose CT Denoising Using Perceptual Loss and Edge Detection Layer.
J. Digit. Imaging, 2020

Automatic classification of multiple catheters in neonatal radiographs with deep learning.
CoRR, 2020

Computer-Aided Assessment of Catheters and Tubes on Radiographs: How Good is Artificial Intelligence for Assessment?
CoRR, 2020

COVID-SAFE: An IoT-Based System for Automated Health Monitoring and Surveillance in Post-Pandemic Life.
IEEE Access, 2020

Cascaded Convolutional Neural Networks with Perceptual Loss for Low Dose CT Denoising.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Generative adversarial network in medical imaging: A review.
Medical Image Anal., 2019

Computer-Aided Diagnosis (CAD) of Pulmonary Nodule of Thoracic CT Image Using Transfer Learning.
J. Digit. Imaging, 2019

Deep Learning for Low-Dose CT Denoising.
CoRR, 2019

Low-dose CT Denoising Using Edge Detection Layer and Perceptual Loss.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Sharpness-Aware Low-Dose CT Denoising Using Conditional Generative Adversarial Network.
J. Digit. Imaging, 2018

Automatic catheter detection in pediatric X-ray images using a scale-recurrent network and synthetic data.
CoRR, 2018

Unsupervised and semi-supervised learning with Categorical Generative Adversarial Networks assisted by Wasserstein distance for dermoscopy image Classification.
CoRR, 2018

A wavelet gradient sparsity based algorithm for reconstruction of reduced-view tomography datasets obtained with a monochromatic synchrotron-based X-ray source.
Comput. Medical Imaging Graph., 2018

Low-dose CT Denoising with Dilated Residual Network.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network.
J. Digit. Imaging, 2017

Performance evaluation of denoising based approximate message passing (D-AMP) algorithm from noisy under-sampled CT images.
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

Space-Invariant Signature Algorithm: A space-variance approach for the detection and localization of early abnormalities in liquid vibrating active systems.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

Space-invariant signature algorithm processing of ultrasound images for the detection and localization of early abnormalities in animal tissues.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2015
Computed tomography image denoising by learning to separate morphological diversity.
Proceedings of the 38th International Conference on Telecommunications and Signal Processing, 2015

Pixel level jointed sparse representation with RPCA image fusion algorithm.
Proceedings of the 38th International Conference on Telecommunications and Signal Processing, 2015

2014
An Adaptive Approach to Learn Overcomplete Dictionaries With Efficient Numbers of Elements.
IEEE Trans. Signal Process., 2014

Multiple regularization based MRI reconstruction.
Signal Process., 2014

EigenBlock algorithm for change detection - An application of adaptive dictionary learning techniques.
J. Comput. Sci., 2014

MR image reconstruction based on framelets and nonlocal total variation using split Bregman method.
Int. J. Comput. Assist. Radiol. Surg., 2014

Change detection of medical images using dictionary learning techniques and PCA.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014

Multi dose Computed Tomography image fusion based on hybrid sparse methodology.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Low-dose computed tomography image denoising based on joint wavelet and sparse representation.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Compressed Sensing-Based MRI Reconstruction Using Complex Double-Density Dual-Tree DWT.
Int. J. Biomed. Imaging, 2013

A Novel <i>m</i>CAD for pediatric metabolic brain diseases incorporating DW imaging and MR spectroscopy.
Expert Syst. J. Knowl. Eng., 2013

Improved Compressed Sensing-Based Algorithm for Sparse-View CT Image Reconstruction.
Comput. Math. Methods Medicine, 2013

MR Image Reconstruction Based on Iterative Split Bregman Algorithm and Nonlocal Total Variation.
Comput. Math. Methods Medicine, 2013

Micro-CT image reconstruction based on alternating direction augmented Lagrangian method and total variation.
Comput. Medical Imaging Graph., 2013

MULTI-STAGE OMP sparse coding using local matching pursuit atoms selection.
Proceedings of the IEEE International Conference on Acoustics, 2013

Evaluation of compressed sensing in seismocardiogram (SCG) systems.
Proceedings of the 26th IEEE Canadian Conference on Electrical and Computer Engineering CCECE 2013, 2013

Iterative method for CT image reconstruction from reduced number of projection views.
Proceedings of the 26th IEEE Canadian Conference on Electrical and Computer Engineering CCECE 2013, 2013

2012
CT image reconstruction from few views via compressed sensing.
Proceedings of the 11th International Conference on Information Science, 2012

A novel automated approach for segmenting lateral ventricle in MR images of the brain using sparse representation classification and dictionary learning.
Proceedings of the 11th International Conference on Information Science, 2012

Computed Tomography image denoising utilizing an efficient sparse coding algorithm.
Proceedings of the 11th International Conference on Information Science, 2012

Automatic brain tumor detection in Magnetic Resonance Images.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Medical image denoising using low pass filtering in sparse domain.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Fully Automated Model-Based Prostate Boundary Segmentation Using Markov Random Field in Ultrasound Images.
Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012

CT image reconstruction from partial angular measurements via compressed sensing.
Proceedings of the 25th IEEE Canadian Conference on Electrical and Computer Engineering, 2012

2011
Wavelets and fuzzy relational classifiers: A novel diffusion-weighted image analysis system for pediatric metabolic brain diseases.
Comput. Methods Programs Biomed., 2011

A novel hybrid model for deformable image registration in abdominal procedures.
Proceedings of the Medical Imaging 2011: Visualization, 2011

2010
Feature-space-based fMRI analysis using the optimal linear transformation.
IEEE Trans. Inf. Technol. Biomed., 2010

Wavelets and fuzzy relational classifiers: A novel spectroscopy analysis system for pediatric metabolic brain diseases.
Fuzzy Sets Syst., 2010

A fast expert system for electrocardiogram arrhythmia detection.
Expert Syst. J. Knowl. Eng., 2010

2009
The optimal linear transformation-based fMRI feature space analysis.
Medical Biol. Eng. Comput., 2009

2007
Automatic honeycomb lung segmentation in pediatric ct images.
Proceedings of the 9th International Symposium on Signal Processing and Its Applications, 2007

Lung Segmentation in Pulmonary CT Images using Wavelet Transform.
Proceedings of the IEEE International Conference on Acoustics, 2007

Automatic Segmentation of Abnormal Lung Parenchyma Utilizing Wavelet Transform.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Computerized Detection of Lung Nodules with an Enhanced False Positive Reduction Scheme.
Proceedings of the International Conference on Image Processing, 2006

2005
Automatic lung segmentation in CT images using watershed transform.
Proceedings of the 2005 International Conference on Image Processing, 2005

An Adaptive Rule Based Automatic Lung Nodule Detection System.
Proceedings of the Pattern Recognition and Image Analysis, 2005

2004
X-ray bone fracture segmentation by incorporating global shape model priors into geodesic active contours.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004


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