S
Shobhit Sharma
Assistant Professor
faculty
Radiology, College of Medicine
10 h-index
57 pubs
425 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Shobhit Sharma is an Assistant Professor in the Department of Radiology at the University of Arkansas for Medical Sciences. His research focuses on developing computational frameworks and simulation methods for medical imaging, particularly for computed tomography (CT) and photon-counting CT (PCCT). Sharma has authored or co-authored publications detailing scanner-specific simulation frameworks, the automated creation of individualized computational phantoms for organ dosimetry, and the assessment of PCCT's potential for improving radiomic feature estimation. His work also involves GPU-accelerated frameworks for scatter estimation in CT and modeling charge sharing for PCCT virtual imaging trials.
His research interests include radiation dose estimation, the quantitative benefits of advanced imaging technologies, and the application of computational methods to medical imaging challenges. Sharma has a scholarly output reflected in 57 publications and 412 citations, with an h-index of 10. He collaborates with researchers within the University of Arkansas for Medical Sciences and at Arkansas State University.
Metrics
- h-index: 10
- Publications: 57
- Citations: 425
Selected Publications
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Can Vascular Compression Be Reliably Identified on Preoperative Images in Microvascular Decompression Cases? (2025)
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Amyloid Light-Chain (AL) Amyloidosis of the Trachea Associated With an Indolent B-cell Neoplasm (2024)
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Bone remineralization of lytic lesions in multiple myeloma – The Arkansas experience (2021)
Collaboration Network
Top Collaborators
Ehsan Samei
Duke University (US)
16 shared publications
- A scanner-specific framework for simulating CT images with tube current modulation
- <i>i</i>Phantom: A Framework for Automated Creation of Individualized Computational Phantoms and Its Application to CT Organ Dosimetry
- Can Photon-Counting CT Improve Estimation Accuracy of Morphological Radiomics Features? A Simulation Study for Assessing the Quantitative Benefits from Improved Spatial Resolution in Deep Silicon-Based Photon-Counting CT
- A GPU-accelerated framework for rapid estimation of scanner-specific scatter in CT for virtual imaging trials
- A framework to simulate CT images with tube current modulation
Showing 5 of 16 shared publications
W. Paul Segars
Duke University (US)
10 shared publications
- A scanner-specific framework for simulating CT images with tube current modulation
- <i>i</i>Phantom: A Framework for Automated Creation of Individualized Computational Phantoms and Its Application to CT Organ Dosimetry
- A GPU-accelerated framework for rapid estimation of scanner-specific scatter in CT for virtual imaging trials
- A framework to simulate CT images with tube current modulation
- Dose coefficients for organ dosimetry in tomosynthesis imaging of adults and pediatrics across diverse protocols
Showing 5 of 10 shared publications
Ehsan Abadi
9 shared publications
- A scanner-specific framework for simulating CT images with tube current modulation
- <i>i</i>Phantom: A Framework for Automated Creation of Individualized Computational Phantoms and Its Application to CT Organ Dosimetry
- Can Photon-Counting CT Improve Estimation Accuracy of Morphological Radiomics Features? A Simulation Study for Assessing the Quantitative Benefits from Improved Spatial Resolution in Deep Silicon-Based Photon-Counting CT
- A GPU-accelerated framework for rapid estimation of scanner-specific scatter in CT for virtual imaging trials
- A framework to simulate CT images with tube current modulation
Showing 5 of 9 shared publications
Anuj Kapadia
Duke University (US)
6 shared publications
- A GPU-accelerated framework for rapid estimation of scanner-specific scatter in CT for virtual imaging trials
- Dose coefficients for organ dosimetry in tomosynthesis imaging of adults and pediatrics across diverse protocols
- A GPU‐accelerated framework for individualized estimation of organ doses in digital tomosynthesis
- Dose coefficients for organ dosimetry in tomosynthesis imaging of adults and pediatrics across diverse protocols
- Dose coefficients for organ dosimetry in tomosynthesis imaging of adults and pediatrics across diverse protocols
Showing 5 of 6 shared publications
Francesco Ria
Duke University Health System (US)
5 shared publications
- Dose coefficients for organ dosimetry in tomosynthesis imaging of adults and pediatrics across diverse protocols
- Dose coefficients for organ dosimetry in tomosynthesis imaging of adults and pediatrics across diverse protocols
- Dose coefficients for organ dosimetry in tomosynthesis imaging of adults and pediatrics across diverse protocols
- Dose coefficients for organ dosimetry in tomosynthesis imaging of adults and pediatrics across diverse protocols
- Patient-specific organ dose and in-vivo image quality assessment in clinical CT
Paul Segars
Duke University (US)
5 shared publications
- Can Photon-Counting CT Improve Estimation Accuracy of Morphological Radiomics Features? A Simulation Study for Assessing the Quantitative Benefits from Improved Spatial Resolution in Deep Silicon-Based Photon-Counting CT
- Deep silicon photon-counting CT: A first simulation-based study for assessing perceptual benefits across diverse anatomies
- Dose coefficients for organ dosimetry in tomosynthesis imaging of adults and pediatrics across diverse protocols
- Dose coefficients for organ dosimetry in tomosynthesis imaging of adults and pediatrics across diverse protocols
- Dose coefficients for organ dosimetry in tomosynthesis imaging of adults and pediatrics across diverse protocols
Wanyi Fu
Advanced Imaging Research (United States) (US)
4 shared publications
- <i>i</i>Phantom: A Framework for Automated Creation of Individualized Computational Phantoms and Its Application to CT Organ Dosimetry
- iPhantom: an automated framework in generating personalized computational phantoms for organ-based radiation dosimetry
- Corrections to “<i>i</i>Phantom: A Framework for Automated Creation of Individualized Computational Phantoms and its Application to CT Organ Dosimetry” [Aug 21 3061-3072]
- Patient-specific organ dose and in-vivo image quality assessment in clinical CT
Joseph Y. Lo
Advanced Imaging Research (United States) (US)
3 shared publications
- <i>i</i>Phantom: A Framework for Automated Creation of Individualized Computational Phantoms and Its Application to CT Organ Dosimetry
- iPhantom: an automated framework in generating personalized computational phantoms for organ-based radiation dosimetry
- Corrections to “<i>i</i>Phantom: A Framework for Automated Creation of Individualized Computational Phantoms and its Application to CT Organ Dosimetry” [Aug 21 3061-3072]
Sharmilan Thanendrarajan
University of Arkansas for Medical Sciences
2 shared publications
In database
- Bone remineralization of lytic lesions in multiple myeloma – The Arkansas experience
- Amyloid Light-Chain (AL) Amyloidosis of the Trachea Associated With an Indolent B-cell Neoplasm
Giavanna Jadick
2 shared publications
- A scanner-specific framework for simulating CT images with tube current modulation
- A framework to simulate CT images with tube current modulation
Brian Harrawood
2 shared publications
- A scanner-specific framework for simulating CT images with tube current modulation
- A framework to simulate CT images with tube current modulation
Alexandros-Stavros Iliopoulos
Duke University (US)
2 shared publications
- <i>i</i>Phantom: A Framework for Automated Creation of Individualized Computational Phantoms and Its Application to CT Organ Dosimetry
- Corrections to “<i>i</i>Phantom: A Framework for Automated Creation of Individualized Computational Phantoms and its Application to CT Organ Dosimetry” [Aug 21 3061-3072]
Xiaobai Sun
Duke University (US)
2 shared publications
- <i>i</i>Phantom: A Framework for Automated Creation of Individualized Computational Phantoms and Its Application to CT Organ Dosimetry
- Corrections to “<i>i</i>Phantom: A Framework for Automated Creation of Individualized Computational Phantoms and its Application to CT Organ Dosimetry” [Aug 21 3061-3072]
Mridul Bhattarai
2 shared publications
- A framework to model charge sharing and pulse pileup for virtual imaging trials of photon-counting CT
- Simulation of the combined effects of charge sharing and pulse pileup in photon-counting CT
Stevan Vrbaški
University of Trieste (IT)
2 shared publications
- A framework to model charge sharing and pulse pileup for virtual imaging trials of photon-counting CT
- Simulation of the combined effects of charge sharing and pulse pileup in photon-counting CT
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