Zobrazeno 1 - 10
of 1 434
pro vyhledávání: '"Samei Ehsan"'
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 VITs. However, the current librarie
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: Clinical imaging trials are crucial for definitive evaluation of medical innovations, but the process is inefficient, expensive, and ethically-constrained. Virtual imaging trial (VIT) approach address these limitations by emulating the co
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:
Tushar, Fakrul Islam, Abadi, Ehsan, Sotoudeh-Paima, Saman, Fricks, Rafael B., Mazurowski, Maciej A., Segars, W. Paul, Samei, Ehsan, Lo, Joseph Y.
Research studies of artificial intelligence models in medical imaging have been hampered by poor generalization. This problem has been especially concerning over the last year with numerous applications of deep learning for COVID-19 diagnosis. Virtua
Externí odkaz:
http://arxiv.org/abs/2203.03074
Autor:
Tushar, Fakrul Islam, Nujaim, Husam, Fu, Wanyi, Abadi, Ehsan, Mazurowski, Maciej A., Samei, Ehsan, Segars, William P., Lo, Joseph Y.
Organ segmentation of medical images is a key step in virtual imaging trials. However, organ segmentation datasets are limited in terms of quality (because labels cover only a few organs) and quantity (since case numbers are limited). In this study,
Externí odkaz:
http://arxiv.org/abs/2203.01934