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Deepak Bharkhada

Showing results (1-10 of 9) with videos related to

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Journal of Computer Assisted Tomography|February 11, 2009
Knowledge-based dynamic volumetric cardiac computed tomography with saddle curve trajectoryDeepak Bharkhada, Hengyong Yu, Ge Wang
International Journal of Biomedical Imaging|May 14, 2009
Line-source based x-ray tomographyDeepak Bharkhada, Hengyong Yu, Hong Liu, et al.
Journal of Computer Assisted Tomography|May 30, 2009
Cardiac computed tomography radiation dose reduction using interior reconstruction algorithm with the aorta and vertebra as known informationDeepak Bharkhada, Hengyong Yu, Shuping Ge, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences|February 2, 2026
Improved quantification in end-to-end deep learning FastPET reconstruction using multi-view histo-images of attenuation correction factorsMaël Millardet, Deepak Bharkhada, Juhi Raj, et al.
Journal of Computer Assisted Tomography|November 27, 2009
Demonstration of dose and scatter reductions for interior computed tomographyDeepak Bharkhada, Hengyong Yu, Robert Dixon, et al.
European Journal of Nuclear Medicine and Molecular Imaging|July 19, 2022
Quantitative evaluation of a deep learning-based framework to generate whole-body attenuation maps using LSO background radiation in long axial FOV PET scannersHasan Sari, Mohammadreza Teimoorisichani, Clemens Mingels, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|February 6, 2025
Positron Range Correction Helps Enhance the Image Quality of Cardiac <sup>82</sup>Rb PET/CTMartin Lyngby Lassen, Hunor Kertész, Ivo Rausch, et al.
Frontiers in Physiology|March 30, 2022
Implementation of a Spatially-Variant and Tissue-Dependent Positron Range Correction for PET/CT ImagingHunor Kertész, Thomas Beyer, Vladimir Panin, et al.
EJNMMI Physics|August 19, 2022
Positron range in combination with point-spread-function correction: an evaluation of different implementations for [124I]-PET imagingHunor Kertész, Maurizio Conti, Vladimir Panin, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Journal of Computer Assisted Tomography|February 11, 2009
Knowledge-based dynamic volumetric cardiac computed tomography with saddle curve trajectoryDeepak Bharkhada, Hengyong Yu, Ge Wang
International Journal of Biomedical Imaging|May 14, 2009
Line-source based x-ray tomographyDeepak Bharkhada, Hengyong Yu, Hong Liu, et al.
Journal of Computer Assisted Tomography|May 30, 2009
Cardiac computed tomography radiation dose reduction using interior reconstruction algorithm with the aorta and vertebra as known informationDeepak Bharkhada, Hengyong Yu, Shuping Ge, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences|February 2, 2026
Improved quantification in end-to-end deep learning FastPET reconstruction using multi-view histo-images of attenuation correction factorsMaël Millardet, Deepak Bharkhada, Juhi Raj, et al.
Journal of Computer Assisted Tomography|November 27, 2009
Demonstration of dose and scatter reductions for interior computed tomographyDeepak Bharkhada, Hengyong Yu, Robert Dixon, et al.
European Journal of Nuclear Medicine and Molecular Imaging|July 19, 2022
Quantitative evaluation of a deep learning-based framework to generate whole-body attenuation maps using LSO background radiation in long axial FOV PET scannersHasan Sari, Mohammadreza Teimoorisichani, Clemens Mingels, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|February 6, 2025
Positron Range Correction Helps Enhance the Image Quality of Cardiac <sup>82</sup>Rb PET/CTMartin Lyngby Lassen, Hunor Kertész, Ivo Rausch, et al.
Frontiers in Physiology|March 30, 2022
Implementation of a Spatially-Variant and Tissue-Dependent Positron Range Correction for PET/CT ImagingHunor Kertész, Thomas Beyer, Vladimir Panin, et al.
EJNMMI Physics|August 19, 2022
Positron range in combination with point-spread-function correction: an evaluation of different implementations for [124I]-PET imagingHunor Kertész, Maurizio Conti, Vladimir Panin, et al.
Pageof 1