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Javad Alirezaie
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Publications
- 2024
- [j15]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) - 2023
- [c50]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 - [c49]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 - 2022
- [c48]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 - [c46]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
- [c44]Sepehr Ataei, Paul S. Babyn, Alireza Ahmadian, Javad Alirezaie:
Cascaded Learning with Generative Adversarial Networks for Low Dose CT Denoising. EMBC 2021: 3053-3056 - [c43]Luella Marcos, Javad Alirezaie, Paul S. Babyn:
Low Dose CT Image Denoising Using Boosting Attention Fusion GAN with Perceptual Loss. EMBC 2021: 3407-3410 - 2020
- [j14]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) - [c41]Sepehr Ataei, Javad Alirezaie, Paul S. Babyn:
Cascaded Convolutional Neural Networks with Perceptual Loss for Low Dose CT Denoising. IJCNN 2020: 1-5 - [i2]Sepehr Ataei, Javad Alirezaie, Paul S. Babyn:
Cascaded Convolutional Neural Networks with Perceptual Loss for Low Dose CT Denoising. CoRR abs/2006.14738 (2020) - 2019
- [c40]Maryam Gholizadeh-Ansari, Javad Alirezaie, Paul S. Babyn:
Low-dose CT Denoising Using Edge Detection Layer and Perceptual Loss. EMBC 2019: 6247-6250 - [i1]Maryam Gholizadeh-Ansari, Javad Alirezaie, Paul S. Babyn:
Deep Learning for Low-Dose CT Denoising. CoRR abs/1902.10127 (2019) - 2018
- [c37]Maryam Gholizadeh-Ansari, Javad Alirezaie, Paul S. Babyn:
Low-dose CT Denoising with Dilated Residual Network. EMBC 2018: 5117-5120 - 2015
- [c32]Aryan Khodabandeh, Javad Alirezaie, Paul S. Babyn, Alireza Ahmadian:
Computed tomography image denoising by learning to separate morphological diversity. TSP 2015: 513-517 - [c31]Rasha Ibrahim, Javad Alirezaie, Paul S. Babyn:
Pixel level jointed sparse representation with RPCA image fusion algorithm. TSP 2015: 592-595 - 2014
- [j10]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) - [c30]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 - [c29]Anuyogam Venkataraman, Javad Alirezaie, Paul S. Babyn, Alireza Ahmadian:
Multi dose Computed Tomography image fusion based on hybrid sparse methodology. EMBC 2014: 3901-3904 - 2013
- [j9]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) - [c25]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
- [c24]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 - [c23]Kaveh Abhari, Mahdi Marsousi, Paul S. Babyn, Javad Alirezaie:
Medical image denoising using low pass filtering in sparse domain. EMBC 2012: 114-117 - [c20]Kaveh Abhari, Mahdi Marsousi, Javad Alirezaie, Paul S. Babyn:
Computed Tomography image denoising utilizing an efficient sparse coding algorithm. ISSPA 2012: 259-263 - [c19]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 - 2011
- [j8]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) - 2010
- [j6]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) - [j5]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) - 2007
- [c15]Omid Talakoub, Javad Alirezaie, Paul S. Babyn:
Lung Segmentation in Pulmonary CT Images using Wavelet Transform. ICASSP (1) 2007: 453-456 - [c14]Rushin Shojaii, Javad Alirezaie, Paul S. Babyn:
Automatic Segmentation of Abnormal Lung Parenchyma Utilizing Wavelet Transform. ICASSP (1) 2007: 1217-1220 - [c13]Rushin Shojaii, Javad Alirezaie, Gul N. Khan, Paul S. Babyn:
Automatic honeycomb lung segmentation in pediatric ct images. ISSPA 2007: 1-4 - 2006
- [c10]Negar Memarian, Javad Alirezaie, Paul S. Babyn:
Computerized Detection of Lung Nodules with an Enhanced False Positive Reduction Scheme. ICIP 2006: 1921-1924 - 2005
- [c9]Maciej Dajnowiec, Javad Alirezaie, Paul S. Babyn:
An Adaptive Rule Based Automatic Lung Nodule Detection System. ICAPR (2) 2005: 773-782 - [c8]Rushin Shojaii, Javad Alirezaie, Paul S. Babyn:
Automatic lung segmentation in CT images using watershed transform. ICIP (2) 2005: 1270-1273
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last updated on 2024-04-25 02:10 CEST by the dblp team
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