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2020 – today
- 2024
[j28]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): 119-127 (2024)- [j27]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): 2533-2559 (2024) - [c38]Wiley Tam, Jean-Louis Dillenseger, Paul S. Babyn, Javad Alirezaie:
Rib Segmentation in Surgical Images for Video-Assisted Thoracoscopic Surgery. CBMS 2024: 450-455 - [c37]Luella Marcos, Kandasamy Illanko, Paul S. Babyn, Javad Alirezaie:
Neonatal Brain MRI Image Segmentation Using U-Net With Enhanced Edge Detection Layers. ISIVC 2024: 1-5 - [c36]Wiley Tam, Javad Alirezaie, Paul S. Babyn:
Automatic Lung Segmentation in Chest X-Ray Images using Dilated Dense-ResUNet. ISIVC 2024: 1-5 - 2023
- [j26]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): 1903-1914 (2023) - [j25]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) - [j24]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): 36577-36598 (2023) - [c35]Farzan Niknejad Mazandarani, Paul S. Babyn, Javad Alirezaie:
UNeXt: a Low-Dose CT denoising UNet model with the modified ConvNeXt block. ICASSP 2023: 1-5 - [c34]Kevin Freire, Javad Alirezaie, Paul S. Babyn:
Multi-Scale Dilation with Residual Fused Attention Network for Low Dose CT Noise Artifact Reductions. ISBI 2023: 1-4 - [i11]Wenjun Lin, Paul S. Babyn, Yan Yan, Wenjun Zhang:
Context-based Ontology Modelling for Database: Enabling ChatGPT for Semantic Database Management. CoRR abs/2303.07351 (2023) - 2022
- [c33]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: 1548-1551 - [c32]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: 3834-3838 - 2021
- [j23]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): 888-897 (2021) - [c31]Sepehr Ataei, Paul S. Babyn, Alireza Ahmadian, Javad Alirezaie:
Cascaded Learning with Generative Adversarial Networks for Low Dose CT Denoising. EMBC 2021: 3053-3056 - [c30]Luella Marcos, Javad Alirezaie, Paul S. Babyn:
Low Dose CT Image Denoising Using Boosting Attention Fusion GAN with Perceptual Loss. EMBC 2021: 3407-3410 - [i10]MohammadReza Mohebbian, Seyed Shahim Vedaei, Khan A. Wahid, Paul S. Babyn:
Siamese Network Features for Endoscopy Image and Video Localization. CoRR abs/2103.08504 (2021) - [i9]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 abs/2103.08508 (2021) - 2020
- [j22]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: 188538-188551 (2020) - [j21]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): 181-190 (2020) - [j20]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): 504-515 (2020) - [c29]Sepehr Ataei, Javad Alirezaie, Paul S. Babyn:
Cascaded Convolutional Neural Networks with Perceptual Loss for Low Dose CT Denoising. IJCNN 2020: 1-5 - [i8]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 abs/2002.03413 (2020) - [i7]Sepehr Ataei, Javad Alirezaie, Paul S. Babyn:
Cascaded Convolutional Neural Networks with Perceptual Loss for Low Dose CT Denoising. CoRR abs/2006.14738 (2020) - [i6]Robert D. E. Henderson, Xin Yi, Scott J. Adams, Paul S. Babyn:
Automatic classification of multiple catheters in neonatal radiographs with deep learning. CoRR abs/2011.07394 (2020)
2010 – 2019
- 2019
- [j19]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): 995-1007 (2019) - [j18]Xin Yi, Ekta Walia, Paul S. Babyn:
Generative adversarial network in medical imaging: A review. Medical Image Anal. 58 (2019) - [c28]Maryam Gholizadeh-Ansari, Javad Alirezaie, Paul S. Babyn:
Low-dose CT Denoising Using Edge Detection Layer and Perceptual Loss. EMBC 2019: 6247-6250 - [i5]Maryam Gholizadeh-Ansari, Javad Alirezaie, Paul S. Babyn:
Deep Learning for Low-Dose CT Denoising. CoRR abs/1902.10127 (2019) - 2018
- [j17]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: 69-81 (2018) - [j16]Xin Yi, Paul S. Babyn:
Sharpness-Aware Low-Dose CT Denoising Using Conditional Generative Adversarial Network. J. Digit. Imaging 31(5): 655-669 (2018) - [c27]Maryam Gholizadeh-Ansari, Javad Alirezaie, Paul S. Babyn:
Low-dose CT Denoising with Dilated Residual Network. EMBC 2018: 5117-5120 - [i4]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 abs/1804.03700 (2018) - [i3]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 abs/1806.00921 (2018) - [i2]Xin Yi, Ekta Walia, Paul S. Babyn:
Generative Adversarial Network in Medical Imaging: A Review. CoRR abs/1809.07294 (2018) - 2017
- [j15]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): 477-486 (2017) - [c26]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: 1-7 - [c25]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: 1-6 - [c24]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: 1-4 - [i1]Xin Yi, Paul S. Babyn:
Sharpness-aware Low dose CT denoising using conditional generative adversarial network. CoRR abs/1708.06453 (2017) - 2015
- [c23]Aryan Khodabandeh, Javad Alirezaie, Paul S. Babyn, Alireza Ahmadian:
Computed tomography image denoising by learning to separate morphological diversity. TSP 2015: 513-517 - [c22]Rasha Ibrahim, Javad Alirezaie, Paul S. Babyn:
Pixel level jointed sparse representation with RPCA image fusion algorithm. TSP 2015: 592-595 - 2014
- [j14]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): 459-472 (2014) - [j13]Varvara Nika, Paul S. Babyn, Hongmei Zhu:
EigenBlock algorithm for change detection - An application of adaptive dictionary learning techniques. J. Comput. Sci. 5(3): 527-535 (2014) - [j12]Varun P. Gopi, Ponnusamy Palanisamy, Khan A. Wahid, Paul S. Babyn, David Cooper:
Multiple regularization based MRI reconstruction. Signal Process. 103: 103-113 (2014) - [j11]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): 3272-3283 (2014) - [c21]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: 3325-3328 - [c20]Anuyogam Venkataraman, Javad Alirezaie, Paul S. Babyn, Alireza Ahmadian:
Multi dose Computed Tomography image fusion based on hybrid sparse methodology. EMBC 2014: 3901-3904 - [c19]Varvara Nika, Paul S. Babyn, Hongmei Zhu:
Change detection of medical images using dictionary learning techniques and PCA. Medical Imaging: Computer-Aided Diagnosis 2014: 903506 - 2013
- [j10]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): 419-429 (2013) - [j9]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: 185750:1-185750:15 (2013) - [j8]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: 985819:1-985819:16 (2013) - [j7]Sina Zarei Mahmoodabadi, Javad Alirezaie, Paul S. Babyn, Andrea Kassner, Elysa Widjaja:
A Novel mCAD for pediatric metabolic brain diseases incorporating DW imaging and MR spectroscopy. Expert Syst. J. Knowl. Eng. 30(1): 21-33 (2013) - [j6]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: 907501:1-907501:12 (2013) - [c18]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: 1-4 - [c17]Zexi Yu, Francis Minhthang Bui, Paul S. Babyn, Anh Dinh:
Evaluation of compressed sensing in seismocardiogram (SCG) systems. CCECE 2013: 1-4 - [c16]Mahdi Marsousi, Kaveh Abhari, Paul S. Babyn, Javad Alirezaie:
MULTI-STAGE OMP sparse coding using local matching pursuit atoms selection. ICASSP 2013: 1783-1787 - 2012
- [c15]Zangen Zhu, Khan A. Wahid, Paul S. Babyn:
CT image reconstruction from partial angular measurements via compressed sensing. CCECE 2012: 1-4 - [c14]Rasa Vafaie, Javad Alirezaie, Paul S. Babyn:
Fully Automated Model-Based Prostate Boundary Segmentation Using Markov Random Field in Ultrasound Images. DICTA 2012: 1-8 - [c13]Kaveh Abhari, Mahdi Marsousi, Paul S. Babyn, Javad Alirezaie:
Medical image denoising using low pass filtering in sparse domain. EMBC 2012: 114-117 - [c12]Sahar Ghanavati, Junning Li, Ting Liu, Paul S. Babyn, Wendy Doda, George A. Lampropoulos:
Automatic brain tumor detection in Magnetic Resonance Images. ISBI 2012: 574-577 - [c11]Kaveh Abhari, Mahdi Marsousi, Javad Alirezaie, Paul S. Babyn:
Computed Tomography image denoising utilizing an efficient sparse coding algorithm. ISSPA 2012: 259-263 - [c10]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: 888-893 - [c9]Zangen Zhu, Khan A. Wahid, Paul S. Babyn:
CT image reconstruction from few views via compressed sensing. ISSPA 2012: 1428-1429 - 2011
- [j5]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): 74-86 (2011) - [c8]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: 79640K - 2010
- [j4]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): 180-200 (2010) - [j3]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): 75-95 (2010) - [j2]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): 1279-1290 (2010)
2000 – 2009
- 2009
- [j1]Fengrong Sun, Drew Morris, Paul S. Babyn:
The optimal linear transformation-based fMRI feature space analysis. Medical Biol. Eng. Comput. 47(11): 1119-1129 (2009) - 2007
- [c7]Omid Talakoub, Javad Alirezaie, Paul S. Babyn:
Lung Segmentation in Pulmonary CT Images using Wavelet Transform. ICASSP (1) 2007: 453-456 - [c6]Rushin Shojaii, Javad Alirezaie, Paul S. Babyn:
Automatic Segmentation of Abnormal Lung Parenchyma Utilizing Wavelet Transform. ICASSP (1) 2007: 1217-1220 - [c5]Rushin Shojaii, Javad Alirezaie, Gul N. Khan, Paul S. Babyn:
Automatic honeycomb lung segmentation in pediatric ct images. ISSPA 2007: 1-4 - 2006
- [c4]Negar Memarian, Javad Alirezaie, Paul S. Babyn:
Computerized Detection of Lung Nodules with an Enhanced False Positive Reduction Scheme. ICIP 2006: 1921-1924 - 2005
- [c3]Maciej Dajnowiec, Javad Alirezaie, Paul S. Babyn:
An Adaptive Rule Based Automatic Lung Nodule Detection System. ICAPR (2) 2005: 773-782 - [c2]Rushin Shojaii, Javad Alirezaie, Paul S. Babyn:
Automatic lung segmentation in CT images using watershed transform. ICIP (2) 2005: 1270-1273 - 2004
- [c1]Yuchong Jiang, Paul S. Babyn:
X-ray bone fracture segmentation by incorporating global shape model priors into geodesic active contours. CARS 2004: 219-224
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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