X-ray bone fracture segmentation by incorporating global shape model priors into geodesic active contours. - Yuchong Jiang; Paul S. Babyn (CARS, 2004)

An Adaptive Rule Based Automatic Lung Nodule Detection System. - Maciej Dajnowiec; Javad Alirezaie; Paul S. Babyn (ICAPR (2), 2005)

Automatic lung segmentation in CT images using watershed transform. - Rushin Shojaii; Javad Alirezaie; Paul S. Babyn (ICIP (2), 2005)

Computerized Detection of Lung Nodules with an Enhanced False Positive Reduction Scheme. - Negar Memarian; Javad Alirezaie; Paul S. Babyn (ICIP, 2006)

Automatic Segmentation of Abnormal Lung Parenchyma Utilizing Wavelet Transform. - Rushin Shojaii; Javad Alirezaie; Paul S. Babyn (ICASSP (1), 2007)

Lung Segmentation in Pulmonary CT Images using Wavelet Transform. - Omid Talakoub; Javad Alirezaie; Paul S. Babyn (ICASSP (1), 2007)

Automatic honeycomb lung segmentation in pediatric ct images. - Rushin Shojaii; Javad Alirezaie; Gul N. Khan; Paul S. Babyn (ISSPA, 2007)

The optimal linear transformation-based fMRI feature space analysis. - Fengrong Sun; Drew Morris; Paul S. Babyn (Medical Biol. Eng. Comput., 2009)

A fast expert system for electrocardiogram arrhythmia detection. - Sina Zarei Mahmoodabadi; Alireza Ahmadian; Mohammadjavad Abolhasani; Paul S. Babyn; Javad Alirezaie (Expert Syst. J. Knowl. Eng., 2010)

Wavelets and fuzzy relational classifiers: A novel spectroscopy analysis system for pediatric metabolic brain diseases. - Sina Zarei Mahmoodabadi; Javad Alirezaie; Paul S. Babyn; Andrea Kassner; Elysa Widjaja (Fuzzy Sets Syst., 2010)

Feature-space-based fMRI analysis using the optimal linear transformation. - Fengrong Sun; Drew Morris; Wayne Lee; Margot J. Taylor; Travis Mills; Paul S. Babyn (IEEE Trans. Inf. Technol. Biomed., 2010)

A novel hybrid model for deformable image registration in abdominal procedures. - Xishi Huang; Paul S. Babyn; Thomas Looi; Peter C. W. Kim (Image-Guided Procedures, 2011)

Wavelets and fuzzy relational classifiers: A novel diffusion-weighted image analysis system for pediatric metabolic brain diseases. - Sina Zarei Mahmoodabadi; Javad Alirezaie; Paul S. Babyn; Andrea Kassner; Elysa Widjaja (Comput. Methods Programs Biomed., 2011)

CT image reconstruction from partial angular measurements via compressed sensing. - Zangen Zhu; Khan A. Wahid; Paul S. Babyn (CCECE, 2012)

Fully Automated Model-Based Prostate Boundary Segmentation Using Markov Random Field in Ultrasound Images. - Rasa Vafaie; Javad Alirezaie; Paul S. Babyn (DICTA, 2012)

Medical image denoising using low pass filtering in sparse domain. - Kaveh Abhari; Mahdi Marsousi; Paul S. Babyn; Javad Alirezaie (EMBC, 2012)

Automatic brain tumor detection in Magnetic Resonance Images. - Sahar Ghanavati; Junning Li; Ting Liu 004; Paul S. Babyn; Wendy Doda; George A. Lampropoulos (ISBI, 2012)

Computed Tomography image denoising utilizing an efficient sparse coding algorithm. - Kaveh Abhari; Mahdi Marsousi; Javad Alirezaie; Paul S. Babyn (ISSPA, 2012)

A novel automated approach for segmenting lateral ventricle in MR images of the brain using sparse representation classification and dictionary learning. - Ali Julazadeh; Javad Alirezaie; Paul S. Babyn (ISSPA, 2012)

CT image reconstruction from few views via compressed sensing. - Zangen Zhu; Khan A. Wahid; Paul S. Babyn (ISSPA, 2012)

Iterative method for CT image reconstruction from reduced number of projection views. - Varun P. Gopi; Zangen Zhu; Ponnusamy Palanisamy; Khan A. Wahid; Paul S. Babyn (CCECE, 2013)

Evaluation of compressed sensing in seismocardiogram (SCG) systems. - Zexi Yu; Francis Minhthang Bui; Paul S. Babyn; Anh Dinh (CCECE, 2013)

MULTI-STAGE OMP sparse coding using local matching pursuit atoms selection. - Mahdi Marsousi; Kaveh Abhari; Paul S. Babyn; Javad Alirezaie (ICASSP, 2013)

Micro-CT image reconstruction based on alternating direction augmented Lagrangian method and total variation. - Varun P. Gopi; Ponnusamy Palanisamy; Khan A. Wahid; Paul S. Babyn; David Cooper (Comput. Medical Imaging Graph., 2013)

MR Image Reconstruction Based on Iterative Split Bregman Algorithm and Nonlocal Total Variation. - Varun P. Gopi; Ponnusamy Palanisamy; Khan A. Wahid; Paul S. Babyn (Comput. Math. Methods Medicine, 2013)

Improved Compressed Sensing-Based Algorithm for Sparse-View CT Image Reconstruction. - Zangen Zhu; Khan A. Wahid; Paul S. Babyn; David Cooper; Isaac Pratt; Yasmin Carter (Comput. Math. Methods Medicine, 2013)

A Novel mCAD for pediatric metabolic brain diseases incorporating DW imaging and MR spectroscopy. - Sina Zarei Mahmoodabadi; Javad Alirezaie; Paul S. Babyn; Andrea Kassner; Elysa Widjaja (Expert Syst. J. Knowl. Eng., 2013)

Compressed Sensing-Based MRI Reconstruction Using Complex Double-Density Dual-Tree DWT. - Zangen Zhu; Khan A. Wahid; Paul S. Babyn; Yang Ran (Int. J. Biomed. Imaging, 2013)

Low-dose computed tomography image denoising based on joint wavelet and sparse representation. - Samira Ghadrdan; Javad Alirezaie; Jean-Louis Dillenseger; Paul S. Babyn (EMBC, 2014)

Multi dose Computed Tomography image fusion based on hybrid sparse methodology. - Anuyogam Venkataraman; Javad Alirezaie; Paul S. Babyn; Alireza Ahmadian (EMBC, 2014)

Change detection of medical images using dictionary learning techniques and PCA. - Varvara Nika; Paul S. Babyn; Hongmei Zhu (Computer-Aided Diagnosis, 2014)

MR image reconstruction based on framelets and nonlocal total variation using split Bregman method. - Varun P. Gopi; Ponnusamy Palanisamy; Khan A. Wahid; Paul S. Babyn (Int. J. Comput. Assist. Radiol. Surg., 2014)

EigenBlock algorithm for change detection - An application of adaptive dictionary learning techniques. - Varvara Nika; Paul S. Babyn; Hongmei Zhu (J. Comput. Sci., 2014)

Multiple regularization based MRI reconstruction. - Varun P. Gopi; Ponnusamy Palanisamy; Khan A. Wahid; Paul S. Babyn; David Cooper (Signal Process., 2014)

An Adaptive Approach to Learn Overcomplete Dictionaries With Efficient Numbers of Elements. - Mahdi Marsousi; Kaveh Abhari; Paul S. Babyn; Javad Alirezaie (IEEE Trans. Signal Process., 2014)

Pixel level jointed sparse representation with RPCA image fusion algorithm. - Rasha Ibrahim; Javad Alirezaie; Paul S. Babyn (TSP, 2015)

Computed tomography image denoising by learning to separate morphological diversity. - Aryan Khodabandeh; Javad Alirezaie; Paul S. Babyn; Alireza Ahmadian (TSP, 2015)

Space-invariant signature algorithm processing of ultrasound images for the detection and localization of early abnormalities in animal tissues. - Kushagra Parolia; Madan M. Gupta; Paul S. Babyn; Wenjun Zhang 005; Doug Bitner (CISP-BMEI, 2017)

Space-Invariant Signature Algorithm: A space-variance approach for the detection and localization of early abnormalities in liquid vibrating active systems. - Kushagra Parolia; Madan M. Gupta; Paul S. Babyn; Wenjun Zhang 005; Doug Bitner; Ravi Kumar Jatoth (CISP-BMEI, 2017)

Performance evaluation of denoising based approximate message passing (D-AMP) algorithm from noisy under-sampled CT images. - Ahmed M. Hasan; Khan A. Wahid; Paul S. Babyn (CCECE, 2017)

Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network. - Jianning Chi; Ekta Walia; Paul S. Babyn; Jimmy Wang; Gary Groot; Mark G. Eramian (J. Digit. Imaging, 2017)

Low-dose CT Denoising with Dilated Residual Network. - Maryam Gholizadeh-Ansari; Javad Alirezaie; Paul S. Babyn (EMBC, 2018)

A wavelet gradient sparsity based algorithm for reconstruction of reduced-view tomography datasets obtained with a monochromatic synchrotron-based X-ray source. - S. Ali Melli; Khan A. Wahid; Paul S. Babyn; David Cooper; Ahmed M. Hasan (Comput. Medical Imaging Graph., 2018)

Unsupervised and semi-supervised learning with Categorical Generative Adversarial Networks assisted by Wasserstein distance for dermoscopy image Classification. - Xin Yi; Ekta Walia; Paul S. Babyn (CoRR, 2018)

Automatic catheter detection in pediatric X-ray images using a scale-recurrent network and synthetic data. - Xin Yi; Scott J. Adams; Paul S. Babyn; Abdul Elnajmi (CoRR, 2018)

Sharpness-Aware Low-Dose CT Denoising Using Conditional Generative Adversarial Network. - Xin Yi; Paul S. Babyn (J. Digit. Imaging, 2018)

Low-dose CT Denoising Using Edge Detection Layer and Perceptual Loss. - Maryam Gholizadeh-Ansari; Javad Alirezaie; Paul S. Babyn (EMBC, 2019)

Deep Learning for Low-Dose CT Denoising. - Maryam Gholizadeh-Ansari; Javad Alirezaie; Paul S. Babyn (CoRR, 2019)

Computer-Aided Diagnosis (CAD) of Pulmonary Nodule of Thoracic CT Image Using Transfer Learning. - Shikun Zhang; Fengrong Sun; Naishun Wang; Cuicui Zhang; Qianlei Yu; Mingqiang Zhang; Paul S. Babyn; Hai Zhong (J. Digit. Imaging, 2019)

Generative adversarial network in medical imaging: A review. - Xin Yi; Ekta Walia; Paul S. Babyn (Medical Image Anal., 2019)

Cascaded Convolutional Neural Networks with Perceptual Loss for Low Dose CT Denoising. - Sepehr Ataei; Javad Alirezaie; Paul S. Babyn (IJCNN, 2020)

COVID-SAFE: An IoT-Based System for Automated Health Monitoring and Surveillance in Post-Pandemic Life. - Seyed Shahim Vedaei; Amir Fotovvat; MohammadReza Mohebbian; Gazi M. E. Rahman; Khan A. Wahid; Paul S. Babyn; Hamid R. Marateb; Marjan Mansourian; Ramin Sami (IEEE Access, 2020)

Computer-Aided Assessment of Catheters and Tubes on Radiographs: How Good is Artificial Intelligence for Assessment? - Xin Yi; Scott J. Adams; Robert D. E. Henderson; Paul S. Babyn (CoRR, 2020)

Automatic classification of multiple catheters in neonatal radiographs with deep learning. - Robert D. E. Henderson; Xin Yi; Scott J. Adams; Paul S. Babyn (CoRR, 2020)

Deep Learning for Low-Dose CT Denoising Using Perceptual Loss and Edge Detection Layer. - Maryam Gholizadeh-Ansari; Javad Alirezaie; Paul S. Babyn (J. Digit. Imaging, 2020)

Automatic Catheter and Tube Detection in Pediatric X-ray Images Using a Scale-Recurrent Network and Synthetic Data. - Xin Yi; Scott J. Adams; Paul S. Babyn; Abdul Elnajmi (J. Digit. Imaging, 2020)

Cascaded Learning with Generative Adversarial Networks for Low Dose CT Denoising. - Sepehr Ataei; Paul S. Babyn; Alireza Ahmadian; Javad Alirezaie (EMBC, 2021)

Low Dose CT Image Denoising Using Boosting Attention Fusion GAN with Perceptual Loss. - Luella Marcos; Javad Alirezaie; Paul S. Babyn (EMBC, 2021)

Siamese Network Features for Endoscopy Image and Video Localization. - MohammadReza Mohebbian; Seyed Shahim Vedaei; Khan A. Wahid; Paul S. Babyn (CoRR, 2021)

Multiclass Anomaly Detection in GI Endoscopic Images using Optimized Deep One-class Classification in an Imbalanced Dataset. - MohammadReza Mohebbian; Seyed Shahim Vedaei; Khan A. Wahid; Paul S. Babyn (CoRR, 2021)

Automatic Detection and Classification of Multiple Catheters in Neonatal Radiographs with Deep Learning. - Robert D. E. Henderson; Xin Yi; Scott J. Adams; Paul S. Babyn (J. Digit. Imaging, 2021)

Dilated Convolution ResNet with Boosting Attention Modules and Combined Loss Functions for LDCT Image Denoising. - Luella Marcos; Franz Quint; Paul S. Babyn; Javad Alirezaie (EMBC, 2022)

Gradient-based Optimization Algorithm for Hybrid Loss Function in Low-dose CT Denoising. - Farzan Niknejad Mazandarani; Luella Marcos; Paul S. Babyn; Javad Alirezaie (EMBC, 2022)

UNeXt: a Low-Dose CT denoising UNet model with the modified ConvNeXt block. - Farzan Niknejad Mazandarani; Paul S. Babyn; Javad Alirezaie (ICASSP, 2023)

Multi-Scale Dilation with Residual Fused Attention Network for Low Dose CT Noise Artifact Reductions. - Kevin Freire; Javad Alirezaie; Paul S. Babyn (ISBI, 2023)

Context-based Ontology Modelling for Database: Enabling ChatGPT for Semantic Database Management. - Wenjun Lin; Paul S. Babyn; Yan Yan; Wenjun Zhang 005 (CoRR, 2023)

Classification of endoscopic image and video frames using distance metric-based learning with interpolated latent features. - Fatemeh Sedighipour Chafjiri; MohammadReza Mohebbian; Khan A. Wahid; Paul S. Babyn (Multim. Tools Appl., 2023)

Applications of deep learning to reduce the need for iodinated contrast media for CT imaging: a systematic review. - Ghazal Azarfar; Seok-Bum Ko; Scott J. Adams; Paul S. Babyn (Int. J. Comput. Assist. Radiol. Surg., 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. - Wenjun Lin; Paul S. Babyn; Yan Yan; Wenjun Zhang 005 (Enterp. Inf. Syst., 2023)

Rib Segmentation in Surgical Images for Video-Assisted Thoracoscopic Surgery. - Wiley Tam; Jean-Louis Dillenseger; Paul S. Babyn; Javad Alirezaie (CBMS, 2024)

Neonatal Brain MRI Image Segmentation Using U-Net With Enhanced Edge Detection Layers. - Luella Marcos; Kandasamy Illanko; Paul S. Babyn; Javad Alirezaie (ISIVC, 2024)

Automatic Lung Segmentation in Chest X-Ray Images using Dilated Dense-ResUNet. - Wiley Tam; Javad Alirezaie; Paul S. Babyn (ISIVC, 2024)

Deep learning-based age estimation from chest CT scans. - Ghazal Azarfar; Seok-Bum Ko; Scott J. Adams; Paul S. Babyn (Int. J. Comput. Assist. Radiol. Surg., 2024)

Low-Dose CT Image Denoising with a Residual Multi-scale Feature Fusion Convolutional Neural Network and Enhanced Perceptual Loss. - Farzan Niknejad Mazandarani; Paul S. Babyn; Javad Alirezaie (Circuits Syst. Signal Process., 2024)

A Time-Adaptive Diffusion-Based CT Image Denoising Method by Processing Directional and Non-Local Information. - Farzan Niknejad Mazandarani; Paul S. Babyn; Javad Alirezaie (Int. J. Imaging Syst. Technol., 2025)