Improving Performance, Robustness, and Fairness of Radiographic AI Models with Finely-Controllable Synthetic Data
Stefania L. Moroianu, Christian Bluethgen, Pierre Chambon, Mehdi Cherti, Jean-Benoit Delbrouck, Magdalini Paschali, Brandon Price, Judy Gichoya, Jenia Jitsev, Curtis P. Langlotz, Akshay S. Chaudhari
机构
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Center for Artificial Intelligence in Medicine and Imaging, Stanford University(斯坦福大学人工智能医学与成像中心)
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Department of Radiology, Stanford University(斯坦福大学放射科)
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Department of Applied Physics, Stanford University(斯坦福大学应用物理系)
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Department of Biomedical Data Science, Stanford University(斯坦福大学生物医学数据科学系)
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Institute for Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich(苏黎世大学医院诊断与介入放射学研究所)
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LAION
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Juelich Supercomputing Center (JSC), Research Center Juelich (FZJ)(耶鲁超级计算中心(JSC)、耶鲁研究中心(FZJ))
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Department of Radiology & Imaging Sciences, Emory University(埃默里大学放射科与成像科学系)
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Department of Radiology, University of Florida College of Medicine(佛罗里达大学医学院放射科)