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Autor:
Dahal, Lavsen, Ghojoghnejad, Mobina, Ghosh, Dhrubajyoti, Bhandari, Yubraj, Kim, David, Ho, Fong Chi, Tushar, Fakrul Islam, Luoa, Sheng, Lafata, Kyle J., Abadi, Ehsan, Samei, Ehsan, Lo, Joseph Y., Segars, W. Paul
Virtual Imaging Trials (VIT) offer a cost-effective and scalable approach for evaluating medical imaging technologies. Computational phantoms, which mimic real patient anatomy and physiology, play a central role in VIT. However, the current libraries
Externí odkaz:
http://arxiv.org/abs/2405.11133
Autor:
Abadi, Ehsan, Badano, Aldo, Bakic, Predrag, Bliznakova, Kristina, Bosmans, Hilde, Carton, Ann-Katherine, Frangi, Alejandro, Glick, Stephen, Kinahan, Paul, Lo, Joseph, Maidment, Andrew, Ria, Francesco, Samei, Ehsan, Sechopoulos, Ioannis, Segars, Paul, Tanaka, Rie, Vancoillie, Liesbeth
This submission comprises the proceedings of the 1st Virtual Imaging Trials in Medicine conference, organized by Duke University on April 22-24, 2024. The listed authors serve as the program directors for this conference. The VITM conference is a pio
Externí odkaz:
http://arxiv.org/abs/2405.05359
Autor:
Tushar, Fakrul Islam, Vancoillie, Liesbeth, McCabe, Cindy, Kavuri, Amareswararao, Dahal, Lavsen, Harrawood, Brian, Fryling, Milo, Zarei, Mojtaba, Sotoudeh-Paima, Saman, Ho, Fong Chi, Ghosh, Dhrubajyoti, Luo, Sheng, Segars, W. Paul, Abadi, Ehsan, Lafata, Kyle J., Samei, Ehsan, Lo, Joseph Y.
Importance: The efficacy of lung cancer screening can be significantly impacted by the imaging modality used. This Virtual Lung Screening Trial (VLST) addresses the critical need for precision in lung cancer diagnostics and the potential for reducing
Externí odkaz:
http://arxiv.org/abs/2404.11221
Autor:
Mouheb, Kaouther, Nejad, Mobina Ghojogh, Dahal, Lavsen, Samei, Ehsan, Lafata, Kyle J., Segars, W. Paul, Lo, Joseph Y.
Accurate 3D modeling of human organs plays a crucial role in building computational phantoms for virtual imaging trials. However, generating anatomically plausible reconstructions of organ surfaces from computed tomography scans remains challenging f
Externí odkaz:
http://arxiv.org/abs/2309.08289
Autor:
Tushar, Fakrul Islam, Dahal, Lavsen, Sotoudeh-Paima, Saman, Abadi, Ehsan, Segars, W. Paul, Samei, Ehsan, Lo, Joseph Y.
The credibility of AI models in medical imaging is often challenged by reproducibility issues and obscured clinical insights, a reality highlighted during the COVID-19 pandemic by many reports of near-perfect artificial intelligence (AI) models that
Externí odkaz:
http://arxiv.org/abs/2308.09730
Autor:
Davey, Marshall, Puelz, Charles, Rossi, Simone, Smith, Margaret Anne, Wells, David R., Sturgeon, Greg, Segars, W. Paul, Vavalle, John P., Peskin, Charles S., Griffith, Boyce E.
Cardiac fluid dynamics fundamentally involves interactions between complex blood flows and the structural deformations of the muscular heart walls and the thin, flexible valve leaflets. There has been longstanding scientific, engineering, and medical
Externí odkaz:
http://arxiv.org/abs/2307.02680
Autor:
van Gorkum, Robbert J. H., Weine, Jonathan L., Segars, William P., Stoeck, Christian T., Kozerke, Sebastian
Magnetic Resonance cardiac diffusion tensor imaging (cDTI) and cardiac intravoxel incoherent motion imaging enables probing of in vivo myofiber architecture and myocardial perfusion surrogates. To study the impact of experimental parameters such as r
Externí odkaz:
http://arxiv.org/abs/2204.07966