Habib Zaidi
Orcid: 0000-0001-7559-5297
According to our database1,
Habib Zaidi
authored at least 66 papers
between 1998 and 2024.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2018, "For contributions to quantitative multimodality molecular imaging".
Timeline
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Online presence:
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on orcid.org
On csauthors.net:
Bibliography
2024
Differentiation of COVID-19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study.
Int. J. Imaging Syst. Technol., March, 2024
Transfer learning from T1-weighted to T2-weighted Magnetic resonance sequences for brain image segmentation.
CAAI Trans. Intell. Technol., February, 2024
2023
Left Ventricular Myocardial Dysfunction Evaluation in Thalassemia Patients Using Echocardiographic Radiomic Features and Machine Learning Algorithms.
J. Digit. Imaging, December, 2023
Multi-institutional PET/CT image segmentation using federated deep transformer learning.
Comput. Methods Programs Biomed., October, 2023
Post-revascularization Ejection Fraction Prediction for Patients Undergoing Percutaneous Coronary Intervention Based on Myocardial Perfusion SPECT Imaging Radiomics: a Preliminary Machine Learning Study.
J. Digit. Imaging, August, 2023
Myocardial Perfusion SPECT Imaging Radiomic Features and Machine Learning Algorithms for Cardiac Contractile Pattern Recognition.
J. Digit. Imaging, April, 2023
2022
Robust-Deep: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models' Performance and Robustness.
J. Digit. Imaging, 2022
Myocardial Function Prediction After Coronary Artery Bypass Grafting Using MRI Radiomic Features and Machine Learning Algorithms.
J. Digit. Imaging, 2022
Deep learning-guided attenuation correction in the image domain for myocardial perfusion SPECT imaging.
J. Comput. Des. Eng., 2022
COLI-Net: Deep learning-assisted fully automated COVID-19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images.
Int. J. Imaging Syst. Technol., 2022
Brain MR images segmentation using 3D CNN with features recalibration mechanism for segmented CT generation.
Neurocomputing, 2022
Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features.
CoRR, 2022
COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14, 339 patients.
Comput. Biol. Medicine, 2022
Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images.
Comput. Biol. Medicine, 2022
Two-step machine learning to diagnose and predict involvement of lungs in COVID-19 and pneumonia using CT radiomics.
Comput. Biol. Medicine, 2022
Unsupervised pseudo CT generation using heterogenous multicentric CT/MR images and CycleGAN: Dosimetric assessment for 3D conformal radiotherapy.
Comput. Biol. Medicine, 2022
Non-contrast Cine Cardiac Magnetic Resonance image radiomics features and machine learning algorithms for myocardial infarction detection.
Comput. Biol. Medicine, 2022
Artif. Intell. Medicine, 2022
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022
2021
DeepTOFSino: A deep learning model for synthesizing full-dose time-of-flight bin sinograms from their corresponding low-dose sinograms.
NeuroImage, 2021
Overall Survival Prediction in Renal Cell Carcinoma Patients Using Computed Tomography Radiomic and Clinical Information.
J. Digit. Imaging, 2021
Leveraging deep neural networks to improve numerical and perceptual image quality in low-dose preclinical PET imaging.
Comput. Medical Imaging Graph., 2021
Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients.
Comput. Biol. Medicine, 2021
Radiomics-based machine learning model to predict risk of death within 5-years in clear cell renal cell carcinoma patients.
Comput. Biol. Medicine, 2021
Non-small cell lung carcinoma histopathological subtype phenotyping using high-dimensional multinomial multiclass CT radiomics signature.
Comput. Biol. Medicine, 2021
Comput. Biol. Medicine, 2021
Comput. Biol. Medicine, 2021
Helical CT Reconstruction From Sparse-View Data Through Exploiting the 3D Anatomical Structure Sparsity.
IEEE Access, 2021
A Deep Neural Network To Recover Missing Data In Small Animal Pet Imaging: Comparison Between Sinogram- And Image-Domain Implementations.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Deep learning-guided estimation of attenuation correction factors from time-of-flight PET emission data.
Medical Image Anal., 2020
Deep Learning based Segmentation for Multi MR Imaging Protocols using Transfer Learning for PET Attenuation Correction.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Brain MR Imaging Segmentation Using Convolutional Auto Encoder Network for PET Attenuation Correction.
Proceedings of the Intelligent Systems and Applications, 2020
2019
MCNP-FBSM: Development of MCNP/MCNPX Source Model for Simulation of Multi-Slice Fan-Beam X-Ray CT Scanners.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2019
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2019
2017
NeuroImage, 2017
Medical Image Anal., 2017
Quantitative PET image reconstruction employing nested expectation-maximization deconvolution for motion compensation.
Comput. Medical Imaging Graph., 2017
2016
IEEE Signal Process. Mag., 2016
Quantitative analysis of MRI-guided attenuation correction techniques in time-of-flight brain PET/MRI.
NeuroImage, 2016
Magnetic resonance imaging-guided attenuation correction in whole-body PET/MRI using a sorted atlas approach.
Medical Image Anal., 2016
2015
Joint Estimation of Activity and Attenuation in Whole-Body TOF PET/MRI Using Constrained Gaussian Mixture Models.
IEEE Trans. Medical Imaging, 2015
2014
A 5D computational phantom for pharmacokinetic simulation studies in dynamic emission tomography.
Comput. Medical Imaging Graph., 2014
2013
X-ray CT Metal Artifact Reduction Using Wavelet Domain $L_{0}$ Sparse Regularization.
IEEE Trans. Medical Imaging, September, 2013
2012
Comparative Study With New Accuracy Metrics for Target Volume Contouring in PET Image Guided Radiation Therapy.
IEEE Trans. Medical Imaging, 2012
Anatomically guided voxel-based partial volume effect correction in brain PET: Impact of MRI segmentation.
Comput. Medical Imaging Graph., 2012
Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification.
Adv. Fuzzy Syst., 2012
2011
Int. J. Biomed. Imaging, 2011
Comput. Methods Programs Biomed., 2011
2010
Int. J. Biomed. Imaging, 2010
Int. J. Biomed. Imaging, 2010
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010
Proceedings of the International Conference on Image Processing, 2010
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2010
2009
Proc. IEEE, 2009
2007
NeuroImage, 2007
Medical Biol. Eng. Comput., 2007
Int. J. Biomed. Imaging, 2007
Comput. Medical Imaging Graph., 2007
2006
Comparative assessment of statistical brain MR image segmentation algorithms and their impact on partial volume correction in PET.
NeuroImage, 2006
Functional segmentation of dynamic nuclear images by cross-Psi<sub>B</sub>-energy operator.
Comput. Methods Programs Biomed., 2006
2005
NeuroImage, 2005
2003
Assessment of the impact of model-based scatter correction on [<sup>18</sup>F]-FDG 3D brain PET in healthy subjects using statistical parametric mapping.
NeuroImage, 2003
1999
Proceedings of the Bildverarbeitung für die Medizin 1999: Algorithmen, 1999
1998
Implementation of an Environment for Monte Carlo Simulation of Fully 3-D Positron Tomography on a High-Performance Parallel Platform.
Parallel Comput., 1998