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Mahsa Torkaman

Showing results (1-10 of 5) with videos related to

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IEEE Transactions on Visualization and Computer Graphics|November 15, 2021
Volume Exploration Using Multidimensional Bhattacharyya FlowShreeraj Jadhav, Mahsa Torkaman, Allen Tannenbaum, et al.
Medical Physics|February 7, 2019
A data-efficient method for local noise power spectrum (NPS) estimation in FDK-reconstructed 3D cone-beam CTRongping Zeng, Mahsa Torkaman, Holly Ning, et al.
BMC Medical Imaging|February 18, 2025
Comparative analysis of intestinal tumor segmentation in PET CT scans using organ based and whole body deep learningMahsa Torkaman, Skander Jemaa, Jill Fredrickson, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences|September 5, 2022
Data Management and Network Architecture Effect on Performance Variability in Direct Attenuation Correction via Deep Learning for Cardiac SPECT: A Feasibility StudyMahsa Torkaman, Jaewon Yang, Luyao Shi, et al.
Proceedings of Spie--The International Society for Optical Engineering|March 17, 2021
Direct Image-Based Attenuation Correction using Conditional Generative Adversarial Network for SPECT Myocardial Perfusion ImagingMahsa Torkaman, Jaewon Yang, Luyao Shi, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Visualization and Computer Graphics|November 15, 2021
Volume Exploration Using Multidimensional Bhattacharyya FlowShreeraj Jadhav, Mahsa Torkaman, Allen Tannenbaum, et al.
Medical Physics|February 7, 2019
A data-efficient method for local noise power spectrum (NPS) estimation in FDK-reconstructed 3D cone-beam CTRongping Zeng, Mahsa Torkaman, Holly Ning, et al.
BMC Medical Imaging|February 18, 2025
Comparative analysis of intestinal tumor segmentation in PET CT scans using organ based and whole body deep learningMahsa Torkaman, Skander Jemaa, Jill Fredrickson, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences|September 5, 2022
Data Management and Network Architecture Effect on Performance Variability in Direct Attenuation Correction via Deep Learning for Cardiac SPECT: A Feasibility StudyMahsa Torkaman, Jaewon Yang, Luyao Shi, et al.
Proceedings of Spie--The International Society for Optical Engineering|March 17, 2021
Direct Image-Based Attenuation Correction using Conditional Generative Adversarial Network for SPECT Myocardial Perfusion ImagingMahsa Torkaman, Jaewon Yang, Luyao Shi, et al.
Pageof 1