Paul S. Babyn

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 40

Top Topics

Convolutional Neural Network

Computed Tomography

Top Venues

J. Digit. Imaging

Int. J. Comput. Assist. Radiol. Surg.

Publications

Wiley Tam, Javad Alirezaie, Paul S. Babyn
Automatic Lung Segmentation in Chest X-Ray Images using Dilated Dense-ResUNet. ISIVC (2024)
Wiley Tam, Jean-Louis Dillenseger, Paul S. Babyn, Javad Alirezaie
Rib Segmentation in Surgical Images for Video-Assisted Thoracoscopic Surgery. CBMS (2024)
Farzan Niknejad Mazandarani, Paul S. Babyn, Javad Alirezaie
Low-Dose CT Image Denoising with a Residual Multi-scale Feature Fusion Convolutional Neural Network and Enhanced Perceptual Loss. Circuits Syst. Signal Process. 43 (4) (2024)
Ghazal Azarfar, Seok-Bum Ko, Scott J. Adams, Paul S. Babyn
Deep learning-based age estimation from chest CT scans. Int. J. Comput. Assist. Radiol. Surg. 19 (1) (2024)
Luella Marcos, Kandasamy Illanko, Paul S. Babyn, Javad Alirezaie
Neonatal Brain MRI Image Segmentation Using U-Net With Enhanced Edge Detection Layers. ISIVC (2024)
Wenjun Lin, Paul S. Babyn, Yan Yan, Wenjun Zhang
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. 17 (12) (2023)
Kevin Freire, Javad Alirezaie, Paul S. Babyn
Multi-Scale Dilation with Residual Fused Attention Network for Low Dose CT Noise Artifact Reductions. ISBI (2023)
Fatemeh Sedighipour Chafjiri, MohammadReza Mohebbian, Khan A. Wahid, Paul S. Babyn
Classification of endoscopic image and video frames using distance metric-based learning with interpolated latent features. Multim. Tools Appl. 82 (23) (2023)
Wenjun Lin, Paul S. Babyn, Yan Yan, Wenjun Zhang
Context-based Ontology Modelling for Database: Enabling ChatGPT for Semantic Database Management. CoRR (2023)
Farzan Niknejad Mazandarani, Paul S. Babyn, Javad Alirezaie
UNeXt: a Low-Dose CT denoising UNet model with the modified ConvNeXt block. ICASSP (2023)
Ghazal Azarfar, Seok-Bum Ko, Scott J. Adams, Paul S. Babyn
Applications of deep learning to reduce the need for iodinated contrast media for CT imaging: a systematic review. Int. J. Comput. Assist. Radiol. Surg. 18 (10) (2023)
Luella Marcos, Franz Quint, Paul S. Babyn, Javad Alirezaie
Dilated Convolution ResNet with Boosting Attention Modules and Combined Loss Functions for LDCT Image Denoising. EMBC (2022)
Farzan Niknejad Mazandarani, Luella Marcos, Paul S. Babyn, Javad Alirezaie
Gradient-based Optimization Algorithm for Hybrid Loss Function in Low-dose CT Denoising. EMBC (2022)
Sepehr Ataei, Paul S. Babyn, Alireza Ahmadian, Javad Alirezaie
Cascaded Learning with Generative Adversarial Networks for Low Dose CT Denoising. EMBC (2021)
Luella Marcos, Javad Alirezaie, Paul S. Babyn
Low Dose CT Image Denoising Using Boosting Attention Fusion GAN with Perceptual Loss. EMBC (2021)
Robert D. E. Henderson, Xin Yi, Scott J. Adams, Paul S. Babyn
Automatic Detection and Classification of Multiple Catheters in Neonatal Radiographs with Deep Learning. J. Digit. Imaging 34 (4) (2021)
MohammadReza Mohebbian, Seyed Shahim Vedaei, Khan A. Wahid, Paul S. Babyn
Multiclass Anomaly Detection in GI Endoscopic Images using Optimized Deep One-class Classification in an Imbalanced Dataset. CoRR (2021)
MohammadReza Mohebbian, Seyed Shahim Vedaei, Khan A. Wahid, Paul S. Babyn
Siamese Network Features for Endoscopy Image and Video Localization. CoRR (2021)
Xin Yi, Scott J. Adams, Robert D. E. Henderson, Paul S. Babyn
Computer-Aided Assessment of Catheters and Tubes on Radiographs: How Good is Artificial Intelligence for Assessment? CoRR (2020)
Sepehr Ataei, Javad Alirezaie, Paul S. Babyn
Cascaded Convolutional Neural Networks with Perceptual Loss for Low Dose CT Denoising. CoRR (2020)
Maryam Gholizadeh-Ansari, Javad Alirezaie, Paul S. Babyn
Deep Learning for Low-Dose CT Denoising Using Perceptual Loss and Edge Detection Layer. J. Digit. Imaging 33 (2) (2020)
Seyed Shahim Vedaei, Amir Fotovvat, MohammadReza Mohebbian, Gazi M. E. Rahman, Khan A. Wahid, Paul S. Babyn, Hamid R. Marateb, Marjan Mansourian, Ramin Sami
COVID-SAFE: An IoT-Based System for Automated Health Monitoring and Surveillance in Post-Pandemic Life. IEEE Access 8 (2020)
Xin Yi, Scott J. Adams, Paul S. Babyn, Abdul Elnajmi
Automatic Catheter and Tube Detection in Pediatric X-ray Images Using a Scale-Recurrent Network and Synthetic Data. J. Digit. Imaging 33 (1) (2020)
Sepehr Ataei, Javad Alirezaie, Paul S. Babyn
Cascaded Convolutional Neural Networks with Perceptual Loss for Low Dose CT Denoising. IJCNN (2020)
Robert D. E. Henderson, Xin Yi, Scott J. Adams, Paul S. Babyn
Automatic classification of multiple catheters in neonatal radiographs with deep learning. CoRR (2020)
Xin Yi, Ekta Walia, Paul S. Babyn
Generative adversarial network in medical imaging: A review. Medical Image Anal. 58 (2019)
Maryam Gholizadeh-Ansari, Javad Alirezaie, Paul S. Babyn
Deep Learning for Low-Dose CT Denoising. CoRR (2019)
Maryam Gholizadeh-Ansari, Javad Alirezaie, Paul S. Babyn
Low-dose CT Denoising Using Edge Detection Layer and Perceptual Loss. EMBC (2019)
Shikun Zhang, Fengrong Sun, Naishun Wang, Cuicui Zhang, Qianlei Yu, Mingqiang Zhang, Paul S. Babyn, Hai Zhong
Computer-Aided Diagnosis (CAD) of Pulmonary Nodule of Thoracic CT Image Using Transfer Learning. J. Digit. Imaging 32 (6) (2019)
Xin Yi, Scott J. Adams, Paul S. Babyn, Abdul Elnajmi
Automatic catheter detection in pediatric X-ray images using a scale-recurrent network and synthetic data. CoRR (2018)
Xin Yi, Paul S. Babyn
Sharpness-Aware Low-Dose CT Denoising Using Conditional Generative Adversarial Network. J. Digit. Imaging 31 (5) (2018)
Xin Yi, Ekta Walia, Paul S. Babyn
Generative Adversarial Network in Medical Imaging: A Review. CoRR (2018)
S. Ali Melli, Khan A. Wahid, Paul S. Babyn, David Cooper, Ahmed M. Hasan
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. 69 (2018)
Xin Yi, Ekta Walia, Paul S. Babyn
Unsupervised and semi-supervised learning with Categorical Generative Adversarial Networks assisted by Wasserstein distance for dermoscopy image Classification. CoRR (2018)
Maryam Gholizadeh-Ansari, Javad Alirezaie, Paul S. Babyn
Low-dose CT Denoising with Dilated Residual Network. EMBC (2018)
Kushagra Parolia, Madan M. Gupta, Paul S. Babyn, Wenjun Zhang, Doug Bitner
Space-invariant signature algorithm processing of ultrasound images for the detection and localization of early abnormalities in animal tissues. CISP-BMEI (2017)
Ahmed M. Hasan, Khan A. Wahid, Paul S. Babyn
Performance evaluation of denoising based approximate message passing (D-AMP) algorithm from noisy under-sampled CT images. CCECE (2017)
Xin Yi, Paul S. Babyn
Sharpness-aware Low dose CT denoising using conditional generative adversarial network. CoRR (2017)
Kushagra Parolia, Madan M. Gupta, Paul S. Babyn, Wenjun Zhang, Doug Bitner, Ravi Kumar Jatoth
Space-Invariant Signature Algorithm: A space-variance approach for the detection and localization of early abnormalities in liquid vibrating active systems. CISP-BMEI (2017)
Jianning Chi, Ekta Walia, Paul S. Babyn, Jimmy Wang, Gary Groot, Mark G. Eramian
Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network. J. Digit. Imaging 30 (4) (2017)
Rasha Ibrahim, Javad Alirezaie, Paul S. Babyn
Pixel level jointed sparse representation with RPCA image fusion algorithm. TSP (2015)
Aryan Khodabandeh, Javad Alirezaie, Paul S. Babyn, Alireza Ahmadian
Computed tomography image denoising by learning to separate morphological diversity. TSP (2015)
Varvara Nika, Paul S. Babyn, Hongmei Zhu
Change detection of medical images using dictionary learning techniques and PCA. Medical Imaging: Computer-Aided Diagnosis (2014)
Samira Ghadrdan, Javad Alirezaie, Jean-Louis Dillenseger, Paul S. Babyn
Low-dose computed tomography image denoising based on joint wavelet and sparse representation. EMBC (2014)
Varun P. Gopi, Ponnusamy Palanisamy, Khan A. Wahid, Paul S. Babyn, David Cooper
Multiple regularization based MRI reconstruction. Signal Process. 103 (2014)
Varvara Nika, Paul S. Babyn, Hongmei Zhu
EigenBlock algorithm for change detection - An application of adaptive dictionary learning techniques. J. Comput. Sci. 5 (3) (2014)
Mahdi Marsousi, Kaveh Abhari, Paul S. Babyn, Javad Alirezaie
An Adaptive Approach to Learn Overcomplete Dictionaries With Efficient Numbers of Elements. IEEE Trans. Signal Process. 62 (12) (2014)
Anuyogam Venkataraman, Javad Alirezaie, Paul S. Babyn, Alireza Ahmadian
Multi dose Computed Tomography image fusion based on hybrid sparse methodology. EMBC (2014)
Varun P. Gopi, Ponnusamy Palanisamy, Khan A. Wahid, Paul S. Babyn
MR image reconstruction based on framelets and nonlocal total variation using split Bregman method. Int. J. Comput. Assist. Radiol. Surg. 9 (3) (2014)
Varun P. Gopi, Ponnusamy Palanisamy, Khan A. Wahid, Paul S. Babyn
MR Image Reconstruction Based on Iterative Split Bregman Algorithm and Nonlocal Total Variation. Comput. Math. Methods Medicine 2013 (2013)
Mahdi Marsousi, Kaveh Abhari, Paul S. Babyn, Javad Alirezaie
MULTI-STAGE OMP sparse coding using local matching pursuit atoms selection. ICASSP (2013)
Zangen Zhu, Khan A. Wahid, Paul S. Babyn, David Cooper, Isaac Pratt, Yasmin Carter
Improved Compressed Sensing-Based Algorithm for Sparse-View CT Image Reconstruction. Comput. Math. Methods Medicine 2013 (2013)
Sina Zarei Mahmoodabadi, Javad Alirezaie, Paul S. Babyn, Andrea Kassner, Elysa Widjaja
CAD for pediatric metabolic brain diseases incorporating DW imaging and MR spectroscopy. Expert Syst. J. Knowl. Eng. 30 (1) (2013)
Varun P. Gopi, Zangen Zhu, Ponnusamy Palanisamy, Khan A. Wahid, Paul S. Babyn
Iterative method for CT image reconstruction from reduced number of projection views. CCECE (2013)
Zangen Zhu, Khan A. Wahid, Paul S. Babyn, Yang Ran
Compressed Sensing-Based MRI Reconstruction Using Complex Double-Density Dual-Tree DWT. Int. J. Biomed. Imaging 2013 (2013)
Zexi Yu, Francis Minhthang Bui, Paul S. Babyn, Anh Dinh
Evaluation of compressed sensing in seismocardiogram (SCG) systems. CCECE (2013)
Varun P. Gopi, Ponnusamy Palanisamy, Khan A. Wahid, Paul S. Babyn, David Cooper
Micro-CT image reconstruction based on alternating direction augmented Lagrangian method and total variation. Comput. Medical Imaging Graph. 37 (7-8) (2013)
Ali Julazadeh, Javad Alirezaie, Paul S. Babyn
A novel automated approach for segmenting lateral ventricle in MR images of the brain using sparse representation classification and dictionary learning. ISSPA (2012)
Sahar Ghanavati, Junning Li, Ting Liu, Paul S. Babyn, Wendy Doda, George A. Lampropoulos
Automatic brain tumor detection in Magnetic Resonance Images. ISBI (2012)
Kaveh Abhari, Mahdi Marsousi, Javad Alirezaie, Paul S. Babyn
Computed Tomography image denoising utilizing an efficient sparse coding algorithm. ISSPA (2012)
Zangen Zhu, Khan A. Wahid, Paul S. Babyn
CT image reconstruction from partial angular measurements via compressed sensing. CCECE (2012)
Kaveh Abhari, Mahdi Marsousi, Paul S. Babyn, Javad Alirezaie
Medical image denoising using low pass filtering in sparse domain. EMBC (2012)
Zangen Zhu, Khan A. Wahid, Paul S. Babyn
CT image reconstruction from few views via compressed sensing. ISSPA (2012)
Rasa Vafaie, Javad Alirezaie, Paul S. Babyn
Fully Automated Model-Based Prostate Boundary Segmentation Using Markov Random Field in Ultrasound Images. DICTA (2012)
Xishi Huang, Paul S. Babyn, Thomas Looi, Peter C. W. Kim
A novel hybrid model for deformable image registration in abdominal procedures. Medical Imaging: Image-Guided Procedures (2011)
Sina Zarei Mahmoodabadi, Javad Alirezaie, Paul S. Babyn, Andrea Kassner, Elysa Widjaja
Wavelets and fuzzy relational classifiers: A novel diffusion-weighted image analysis system for pediatric metabolic brain diseases. Comput. Methods Programs Biomed. 103 (2) (2011)
Fengrong Sun, Drew Morris, Wayne Lee, Margot J. Taylor, Travis Mills, Paul S. Babyn
Feature-space-based fMRI analysis using the optimal linear transformation. IEEE Trans. Inf. Technol. Biomed. 14 (5) (2010)
Sina Zarei Mahmoodabadi, Javad Alirezaie, Paul S. Babyn, Andrea Kassner, Elysa Widjaja
Wavelets and fuzzy relational classifiers: A novel spectroscopy analysis system for pediatric metabolic brain diseases. Fuzzy Sets Syst. 161 (1) (2010)
Sina Zarei Mahmoodabadi, Alireza Ahmadian, Mohammadjavad Abolhasani, Paul S. Babyn, Javad Alirezaie
A fast expert system for electrocardiogram arrhythmia detection. Expert Syst. J. Knowl. Eng. 27 (3) (2010)
Fengrong Sun, Drew Morris, Paul S. Babyn
The optimal linear transformation-based fMRI feature space analysis. Medical Biol. Eng. Comput. 47 (11) (2009)
Rushin Shojaii, Javad Alirezaie, Paul S. Babyn
Automatic Segmentation of Abnormal Lung Parenchyma Utilizing Wavelet Transform. ICASSP (1) (2007)
Rushin Shojaii, Javad Alirezaie, Gul N. Khan, Paul S. Babyn
Automatic honeycomb lung segmentation in pediatric ct images. ISSPA (2007)
Omid Talakoub, Javad Alirezaie, Paul S. Babyn
Lung Segmentation in Pulmonary CT Images using Wavelet Transform. ICASSP (1) (2007)
Negar Memarian, Javad Alirezaie, Paul S. Babyn
Computerized Detection of Lung Nodules with an Enhanced False Positive Reduction Scheme. ICIP (2006)
Maciej Dajnowiec, Javad Alirezaie, Paul S. Babyn
An Adaptive Rule Based Automatic Lung Nodule Detection System. ICAPR (2) (2005)
Rushin Shojaii, Javad Alirezaie, Paul S. Babyn
Automatic lung segmentation in CT images using watershed transform. ICIP (2) (2005)
Yuchong Jiang, Paul S. Babyn
X-ray bone fracture segmentation by incorporating global shape model priors into geodesic active contours. CARS (2004)