Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Yao, Michael S."'
Autor:
Yao, Michael S., Chae, Allison, Kahn Jr., Charles E., Witschey, Walter R., Gee, James C., Sagreiya, Hersh, Bastani, Osbert
Diagnostic imaging studies are an increasingly important component of the workup and management of acutely presenting patients. However, ordering appropriate imaging studies according to evidence-based medical guidelines is a challenging task with a
Externí odkaz:
http://arxiv.org/abs/2409.19177
Autor:
Yang, Yue, Gandhi, Mona, Wang, Yufei, Wu, Yifan, Yao, Michael S., Callison-Burch, Chris, Gee, James C., Yatskar, Mark
While deep networks have achieved broad success in analyzing natural images, when applied to medical scans, they often fail in unexcepted situations. We investigate this challenge and focus on model sensitivity to domain shifts, such as data sampled
Externí odkaz:
http://arxiv.org/abs/2405.14839
Autor:
Wu, Yifan, Liu, Yang, Yang, Yue, Yao, Michael S., Yang, Wenli, Shi, Xuehui, Yang, Lihong, Li, Dongjun, Liu, Yueming, Gee, James C., Yang, Xuan, Wei, Wenbin, Gu, Shi
Diagnosing rare diseases presents a common challenge in clinical practice, necessitating the expertise of specialists for accurate identification. The advent of machine learning offers a promising solution, while the development of such technologies
Externí odkaz:
http://arxiv.org/abs/2403.05606
Autor:
Yao, Michael S., Zeng, Yimeng, Bastani, Hamsa, Gardner, Jacob, Gee, James C., Bastani, Osbert
Offline model-based optimization seeks to optimize against a learned surrogate model without querying the true oracle objective function during optimization. Such tasks are commonly encountered in protein design, robotics, and clinical medicine where
Externí odkaz:
http://arxiv.org/abs/2402.06532
Autor:
Yao, Michael S., Chae, Allison, MacLean, Matthew T., Verma, Anurag, Duda, Jeffrey, Gee, James, Torigian, Drew A., Rader, Daniel, Kahn, Charles, Witschey, Walter R., Sagreiya, Hersh
Early diagnosis of Type 2 Diabetes Mellitus (T2DM) is crucial to enable timely therapeutic interventions and lifestyle modifications. As the time available for clinical office visits shortens and medical imaging data become more widely available, pat
Externí odkaz:
http://arxiv.org/abs/2209.10043
Autor:
Yao, Michael S., Hansen, Michael S.
Publikováno v:
In Proceedings of the 2nd Machine Learning for Health Symposium 193:489-511, 2022
Accelerated MRI reconstructs images of clinical anatomies from sparsely sampled signal data to reduce patient scan times. While recent works have leveraged deep learning to accomplish this task, such approaches have often only been explored in simula
Externí odkaz:
http://arxiv.org/abs/2208.12835
Akademický článek
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Autor:
Chae, Allison, Yao, Michael S., Sagreiya, Hersh, Goldberg, Ari D., Chatterjee, Neil, MacLean, Matthew T., Duda, Jeffrey, Elahi, Ameena, Borthakur, Arijitt, Ritchie, Marylyn D., Rader, Daniel, Kahn, Charles E., Witschey, Walter R., Gee, James C.
Publikováno v:
Radiology; January 2024, Vol. 310 Issue: 1
Autor:
Baloh, Carolyn H., Borkar, Samiksha A., Chang, Kai-Fen, Yao, Jiqiang, Hershfield, Michael S., Parikh, Suhag H., Kohn, Donald B., Goodenow, Maureen M., Sleasman, John W., Yin, Li
Publikováno v:
Journal of Clinical Immunology; Oct2021, Vol. 41 Issue 7, p1597-1606, 10p
Autor:
Sitlani, Manish1 msitlani1@yahoo.com, Sharma, Geeta1 geetasharmaiips@gmail.com, Sitlani, Bhoomi2 bhoomi.sitlani@yahoo.co
Publikováno v:
IUP Journal of Behavioral Finance. Mar2011, Vol. 8 Issue 1, p29-40. 12p. 8 Charts, 1 Graph.