Paul S. Babyn - RankMe

81 papers B 3Misc 3Journal 43Unranked 32

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Time-Adaptive Diffusion-Based CT Image Denoising Method by Processing Directional and Non-Local Information. Int. J. Imaging Syst. Technol. Farzan Niknejad Mazandarani, Paul S. Babyn, Javad Alirezaie
2025	J	`jnl`	Edge Detection Attention Module in Pure Vision Transformer for Low-Dose X-Ray Computed Tomography Image Denoising. Algorithms Luella Marcos, Paul S. Babyn, Javad Alirezaie
2025	J	`jnl`	Low-Dose Computed Tomography Image Denoising Vision Transformer Model Optimization Using Space State Method. Int. J. Imaging Syst. Technol. Luella Marcos, Paul S. Babyn, Javad Alirezaie
2024	—	`conf`	Automatic Lung Segmentation in Chest X-Ray Images using Dilated Dense-ResUNet. ISIVC Wiley Tam, Javad Alirezaie, Paul S. Babyn
2024	J	`jnl`	Deep learning-based age estimation from chest CT scans. Int. J. Comput. Assist. Radiol. Surg. Ghazal Azarfar, Seok-Bum Ko, Scott J. Adams, Paul S. Babyn
2024	J	`jnl`	Low-Dose CT Image Denoising with a Residual Multi-scale Feature Fusion Convolutional Neural Network and Enhanced Perceptual Loss. Circuits Syst. Signal Process. Farzan Niknejad Mazandarani, Paul S. Babyn, Javad Alirezaie
2024	—	`conf`	Neonatal Brain MRI Image Segmentation Using U-Net With Enhanced Edge Detection Layers. ISIVC Luella Marcos, Kandasamy Illanko, Paul S. Babyn, Javad Alirezaie
2024	J	`jnl`	Pure Vision Transformer (CT-ViT) with Noise2Neighbors Interpolation for Low-Dose CT Image Denoising. J. Imaging Inform. Medicine Luella Marcos, Paul S. Babyn, Javad Alirezaie
2024	B	`conf`	Rib Segmentation in Surgical Images for Video-Assisted Thoracoscopic Surgery. CBMS Wiley Tam, Jean-Louis Dillenseger, Paul S. Babyn, Javad Alirezaie
2023	J	`jnl`	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. Wenjun Lin, Paul S. Babyn, Yan Yan, Wenjun Zhang
2023	J	`jnl`	Applications of deep learning to reduce the need for iodinated contrast media for CT imaging: a systematic review. Int. J. Comput. Assist. Radiol. Surg. Ghazal Azarfar, Seok-Bum Ko, Scott J. Adams, Paul S. Babyn
2023	J	`jnl`	Classification of endoscopic image and video frames using distance metric-based learning with interpolated latent features. Multim. Tools Appl. Fatemeh Sedighipour Chafjiri, MohammadReza Mohebbian, Khan A. Wahid, Paul S. Babyn
2023	J	`jnl`	Context-based Ontology Modelling for Database: Enabling ChatGPT for Semantic Database Management. CoRR Wenjun Lin, Paul S. Babyn, Yan Yan, Wenjun Zhang
2023	—	`conf`	Multi-Scale Dilation with Residual Fused Attention Network for Low Dose CT Noise Artifact Reductions. ISBI Kevin Freire, Javad Alirezaie, Paul S. Babyn
2023	Misc	`conf`	UNeXt: a Low-Dose CT denoising UNet model with the modified ConvNeXt block. ICASSP Farzan Niknejad Mazandarani, Paul S. Babyn, Javad Alirezaie
2022	—	`conf`	Dilated Convolution ResNet with Boosting Attention Modules and Combined Loss Functions for LDCT Image Denoising. EMBC Luella Marcos, Franz Quint, Paul S. Babyn, Javad Alirezaie
2022	—	`conf`	Gradient-based Optimization Algorithm for Hybrid Loss Function in Low-dose CT Denoising. EMBC Farzan Niknejad Mazandarani, Luella Marcos, Paul S. Babyn, Javad Alirezaie
2021	J	`jnl`	Automatic Detection and Classification of Multiple Catheters in Neonatal Radiographs with Deep Learning. J. Digit. Imaging Robert D. E. Henderson, Xin Yi, Scott J. Adams, Paul S. Babyn
2021	—	`conf`	Cascaded Learning with Generative Adversarial Networks for Low Dose CT Denoising. EMBC Sepehr Ataei, Paul S. Babyn, Alireza Ahmadian, Javad Alirezaie
2021	—	`conf`	Low Dose CT Image Denoising Using Boosting Attention Fusion GAN with Perceptual Loss. EMBC Luella Marcos, Javad Alirezaie, Paul S. Babyn
2021	J	`jnl`	Multiclass Anomaly Detection in GI Endoscopic Images using Optimized Deep One-class Classification in an Imbalanced Dataset. CoRR MohammadReza Mohebbian, Seyed Shahim Vedaei, Khan A. Wahid, Paul S. Babyn
2021	J	`jnl`	Siamese Network Features for Endoscopy Image and Video Localization. CoRR MohammadReza Mohebbian, Seyed Shahim Vedaei, Khan A. Wahid, Paul S. Babyn
2020	J	`jnl`	Automatic Catheter and Tube Detection in Pediatric X-ray Images Using a Scale-Recurrent Network and Synthetic Data. J. Digit. Imaging Xin Yi, Scott J. Adams, Paul S. Babyn, Abdul Elnajmi
2020	J	`jnl`	Automatic classification of multiple catheters in neonatal radiographs with deep learning. CoRR Robert D. E. Henderson, Xin Yi, Scott J. Adams, Paul S. Babyn
2020	J	`jnl`	COVID-SAFE: An IoT-Based System for Automated Health Monitoring and Surveillance in Post-Pandemic Life. IEEE Access Seyed Shahim Vedaei, Amir Fotovvat, MohammadReza Mohebbian, Gazi M. E. Rahman, Khan A. Wahid, Paul S. Babyn, Hamid R. Marateb, Marjan Mansourian, Ramin Sami
2020	B	`conf`	Cascaded Convolutional Neural Networks with Perceptual Loss for Low Dose CT Denoising. IJCNN Sepehr Ataei, Javad Alirezaie, Paul S. Babyn
2020	J	`jnl`	Cascaded Convolutional Neural Networks with Perceptual Loss for Low Dose CT Denoising. CoRR Sepehr Ataei, Javad Alirezaie, Paul S. Babyn
2020	J	`jnl`	Computer-Aided Assessment of Catheters and Tubes on Radiographs: How Good is Artificial Intelligence for Assessment? CoRR Xin Yi, Scott J. Adams, Robert D. E. Henderson, Paul S. Babyn
2020	J	`jnl`	Deep Learning for Low-Dose CT Denoising Using Perceptual Loss and Edge Detection Layer. J. Digit. Imaging Maryam Gholizadeh-Ansari, Javad Alirezaie, Paul S. Babyn
2019	J	`jnl`	Computer-Aided Diagnosis (CAD) of Pulmonary Nodule of Thoracic CT Image Using Transfer Learning. J. Digit. Imaging Shikun Zhang, Fengrong Sun, Naishun Wang, Cuicui Zhang, Qianlei Yu, Mingqiang Zhang, Paul S. Babyn, Hai Zhong
2019	J	`jnl`	Deep Learning for Low-Dose CT Denoising. CoRR Maryam Gholizadeh-Ansari, Javad Alirezaie, Paul S. Babyn
2019	J	`jnl`	Generative adversarial network in medical imaging: A review. Medical Image Anal. Xin Yi, Ekta Walia, Paul S. Babyn
2019	—	`conf`	Low-dose CT Denoising Using Edge Detection Layer and Perceptual Loss. EMBC Maryam Gholizadeh-Ansari, Javad Alirezaie, Paul S. Babyn
2018	J	`jnl`	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. S. Ali Melli, Khan A. Wahid, Paul S. Babyn, David Cooper, Ahmed M. Hasan
2018	J	`jnl`	Automatic catheter detection in pediatric X-ray images using a scale-recurrent network and synthetic data. CoRR Xin Yi, Scott J. Adams, Paul S. Babyn, Abdul Elnajmi
2018	J	`jnl`	Generative Adversarial Network in Medical Imaging: A Review. CoRR Xin Yi, Ekta Walia, Paul S. Babyn
2018	—	`conf`	Low-dose CT Denoising with Dilated Residual Network. EMBC Maryam Gholizadeh-Ansari, Javad Alirezaie, Paul S. Babyn
2018	J	`jnl`	Sharpness-Aware Low-Dose CT Denoising Using Conditional Generative Adversarial Network. J. Digit. Imaging Xin Yi, Paul S. Babyn
2018	J	`jnl`	Unsupervised and semi-supervised learning with Categorical Generative Adversarial Networks assisted by Wasserstein distance for dermoscopy image Classification. CoRR Xin Yi, Ekta Walia, Paul S. Babyn
2017	—	`conf`	Performance evaluation of denoising based approximate message passing (D-AMP) algorithm from noisy under-sampled CT images. CCECE Ahmed M. Hasan, Khan A. Wahid, Paul S. Babyn
2017	J	`jnl`	Sharpness-aware Low dose CT denoising using conditional generative adversarial network. CoRR Xin Yi, Paul S. Babyn
2017	—	`conf`	Space-Invariant Signature Algorithm: A space-variance approach for the detection and localization of early abnormalities in liquid vibrating active systems. CISP-BMEI Kushagra Parolia, Madan M. Gupta, Paul S. Babyn, Wenjun Zhang, Doug Bitner, Ravi Kumar Jatoth
2017	—	`conf`	Space-invariant signature algorithm processing of ultrasound images for the detection and localization of early abnormalities in animal tissues. CISP-BMEI Kushagra Parolia, Madan M. Gupta, Paul S. Babyn, Wenjun Zhang, Doug Bitner
2017	J	`jnl`	Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network. J. Digit. Imaging Jianning Chi, Ekta Walia, Paul S. Babyn, Jimmy Wang, Gary Groot, Mark G. Eramian
2015	—	`conf`	Computed tomography image denoising by learning to separate morphological diversity. TSP Aryan Khodabandeh, Javad Alirezaie, Paul S. Babyn, Alireza Ahmadian
2015	—	`conf`	Pixel level jointed sparse representation with RPCA image fusion algorithm. TSP Rasha Ibrahim, Javad Alirezaie, Paul S. Babyn
2014	J	`jnl`	An Adaptive Approach to Learn Overcomplete Dictionaries With Efficient Numbers of Elements. IEEE Trans. Signal Process. Mahdi Marsousi, Kaveh Abhari, Paul S. Babyn, Javad Alirezaie
2014	—	`conf`	Change detection of medical images using dictionary learning techniques and PCA. Computer-Aided Diagnosis Varvara Nika, Paul S. Babyn, Hongmei Zhu
2014	J	`jnl`	EigenBlock algorithm for change detection - An application of adaptive dictionary learning techniques. J. Comput. Sci. Varvara Nika, Paul S. Babyn, Hongmei Zhu
2014	—	`conf`	Low-dose computed tomography image denoising based on joint wavelet and sparse representation. EMBC Samira Ghadrdan, Javad Alirezaie, Jean-Louis Dillenseger, Paul S. Babyn
2014	J	`jnl`	MR image reconstruction based on framelets and nonlocal total variation using split Bregman method. Int. J. Comput. Assist. Radiol. Surg. Varun P. Gopi, Ponnusamy Palanisamy, Khan A. Wahid, Paul S. Babyn
2014	—	`conf`	Multi dose Computed Tomography image fusion based on hybrid sparse methodology. EMBC Anuyogam Venkataraman, Javad Alirezaie, Paul S. Babyn, Alireza Ahmadian
2014	J	`jnl`	Multiple regularization based MRI reconstruction. Signal Process. Varun P. Gopi, Ponnusamy Palanisamy, Khan A. Wahid, Paul S. Babyn, David Cooper
2013	J	`jnl`	A Novel Expert Syst. J. Knowl. Eng. Sina Zarei Mahmoodabadi, Javad Alirezaie, Paul S. Babyn, Andrea Kassner, Elysa Widjaja
2013	J	`jnl`	Compressed Sensing-Based MRI Reconstruction Using Complex Double-Density Dual-Tree DWT. Int. J. Biomed. Imaging Zangen Zhu, Khan A. Wahid, Paul S. Babyn, Yang Ran
2013	—	`conf`	Evaluation of compressed sensing in seismocardiogram (SCG) systems. CCECE Zexi Yu, Francis Minhthang Bui, Paul S. Babyn, Anh Dinh
2013	J	`jnl`	Improved Compressed Sensing-Based Algorithm for Sparse-View CT Image Reconstruction. Comput. Math. Methods Medicine Zangen Zhu, Khan A. Wahid, Paul S. Babyn, David Cooper, Isaac Pratt, Yasmin Carter
2013	—	`conf`	Iterative method for CT image reconstruction from reduced number of projection views. CCECE Varun P. Gopi, Zangen Zhu, Ponnusamy Palanisamy, Khan A. Wahid, Paul S. Babyn
2013	J	`jnl`	MR Image Reconstruction Based on Iterative Split Bregman Algorithm and Nonlocal Total Variation. Comput. Math. Methods Medicine Varun P. Gopi, Ponnusamy Palanisamy, Khan A. Wahid, Paul S. Babyn
2013	Misc	`conf`	MULTI-STAGE OMP sparse coding using local matching pursuit atoms selection. ICASSP Mahdi Marsousi, Kaveh Abhari, Paul S. Babyn, Javad Alirezaie
2013	J	`jnl`	Micro-CT image reconstruction based on alternating direction augmented Lagrangian method and total variation. Comput. Medical Imaging Graph. Varun P. Gopi, Ponnusamy Palanisamy, Khan A. Wahid, Paul S. Babyn, David Cooper
2012	—	`conf`	A novel automated approach for segmenting lateral ventricle in MR images of the brain using sparse representation classification and dictionary learning. ISSPA Ali Julazadeh, Javad Alirezaie, Paul S. Babyn
2012	—	`conf`	Automatic brain tumor detection in Magnetic Resonance Images. ISBI Sahar Ghanavati, Junning Li, Ting Liu, Paul S. Babyn, Wendy Doda, George A. Lampropoulos
2012	—	`conf`	CT image reconstruction from few views via compressed sensing. ISSPA Zangen Zhu, Khan A. Wahid, Paul S. Babyn
2012	—	`conf`	CT image reconstruction from partial angular measurements via compressed sensing. CCECE Zangen Zhu, Khan A. Wahid, Paul S. Babyn
2012	—	`conf`	Computed Tomography image denoising utilizing an efficient sparse coding algorithm. ISSPA Kaveh Abhari, Mahdi Marsousi, Javad Alirezaie, Paul S. Babyn
2012	Misc	`conf`	Fully Automated Model-Based Prostate Boundary Segmentation Using Markov Random Field in Ultrasound Images. DICTA Rasa Vafaie, Javad Alirezaie, Paul S. Babyn
2012	—	`conf`	Medical image denoising using low pass filtering in sparse domain. EMBC Kaveh Abhari, Mahdi Marsousi, Paul S. Babyn, Javad Alirezaie
2011	—	`conf`	A novel hybrid model for deformable image registration in abdominal procedures. Image-Guided Procedures Xishi Huang, Paul S. Babyn, Thomas Looi, Peter C. W. Kim
2011	J	`jnl`	Wavelets and fuzzy relational classifiers: A novel diffusion-weighted image analysis system for pediatric metabolic brain diseases. Comput. Methods Programs Biomed. Sina Zarei Mahmoodabadi, Javad Alirezaie, Paul S. Babyn, Andrea Kassner, Elysa Widjaja
2010	J	`jnl`	A fast expert system for electrocardiogram arrhythmia detection. Expert Syst. J. Knowl. Eng. Sina Zarei Mahmoodabadi, Alireza Ahmadian, Mohammadjavad Abolhasani, Paul S. Babyn, Javad Alirezaie
2010	J	`jnl`	Feature-space-based fMRI analysis using the optimal linear transformation. IEEE Trans. Inf. Technol. Biomed. Fengrong Sun, Drew Morris, Wayne Lee, Margot J. Taylor, Travis Mills, Paul S. Babyn
2010	J	`jnl`	Wavelets and fuzzy relational classifiers: A novel spectroscopy analysis system for pediatric metabolic brain diseases. Fuzzy Sets Syst. Sina Zarei Mahmoodabadi, Javad Alirezaie, Paul S. Babyn, Andrea Kassner, Elysa Widjaja
2009	J	`jnl`	The optimal linear transformation-based fMRI feature space analysis. Medical Biol. Eng. Comput. Fengrong Sun, Drew Morris, Paul S. Babyn
2007	—	`conf`	Automatic Segmentation of Abnormal Lung Parenchyma Utilizing Wavelet Transform. ICASSP (1) Rushin Shojaii, Javad Alirezaie, Paul S. Babyn
2007	—	`conf`	Automatic honeycomb lung segmentation in pediatric ct images. ISSPA Rushin Shojaii, Javad Alirezaie, Gul N. Khan, Paul S. Babyn
2007	—	`conf`	Lung Segmentation in Pulmonary CT Images using Wavelet Transform. ICASSP (1) Omid Talakoub, Javad Alirezaie, Paul S. Babyn
2006	B	`conf`	Computerized Detection of Lung Nodules with an Enhanced False Positive Reduction Scheme. ICIP Negar Memarian, Javad Alirezaie, Paul S. Babyn
2005	—	`conf`	An Adaptive Rule Based Automatic Lung Nodule Detection System. ICAPR (2) Maciej Dajnowiec, Javad Alirezaie, Paul S. Babyn
2005	—	`conf`	Automatic lung segmentation in CT images using watershed transform. ICIP (2) Rushin Shojaii, Javad Alirezaie, Paul S. Babyn
2004	—	`conf`	X-ray bone fracture segmentation by incorporating global shape model priors into geodesic active contours. CARS Yuchong Jiang, Paul S. Babyn