Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Eli T. Brown"'
Autor:
Eli T. Brown, Priya Deshpande, Daniela Raicu, Samuel G. Armato, Sungmin Kim, Alexander Rasin, Jun Son, Steven M. Montner, Jacob D. Furst
Publikováno v:
J Digit Imaging
Radiology teaching file repositories contain a large amount of information about patient health and radiologist interpretation of medical findings. Although valuable for radiology education, the use of teaching file repositories has been hindered by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c44be61b7c02bab130c49510ecbfb59
https://doi.org/10.1007/s10278-020-00331-3
https://doi.org/10.1007/s10278-020-00331-3
Publikováno v:
2021 IEEE Workshop on Machine Learning from User Interactions (MLUI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2305871d880cfad96c429f0837932d58
https://doi.org/10.1109/mlui54255.2021.00008
https://doi.org/10.1109/mlui54255.2021.00008
Publikováno v:
2021 IEEE Workshop on Machine Learning from User Interactions (MLUI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d4b0f1883dbd8b603c948ac58bba7de
https://doi.org/10.1109/mlui54255.2021.00007
https://doi.org/10.1109/mlui54255.2021.00007
Autor:
Fang Cao, Sriram Yarlagadda, Yeshwanth Devabhaktuni, Eli T. Brown, David J. Scroggins, Franklin Buitron
Publikováno v:
2021 IEEE Workshop on Machine Learning from User Interactions (MLUI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73d43bd9e06a6554e7a7609d911c933a
https://doi.org/10.1109/mlui54255.2021.00006
https://doi.org/10.1109/mlui54255.2021.00006
Autor:
Eli T. Brown, Fang Cao
Publikováno v:
IEEE VIS (Short Papers)
Analyzing data is increasingly a part of jobs across industry, science and government, but data stakeholders are not necessarily experts in analytics. The human-in-the-loop (HIL) approach includes semantic interaction tools, which leverage machine le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::219a74520216f84fb6e490152f9ca955
https://doi.org/10.1109/vis47514.2020.00058
https://doi.org/10.1109/vis47514.2020.00058
Autor:
Samuel G. Armato, Steven M. Montner, Eli T. Brown, Alexander Rasin, Jacob D. Furst, Priya Deshpande, Daniela Raicu
Publikováno v:
International Journal of Knowledge Discovery in Bioinformatics. 8:18-43
Teaching files are widely used by radiologists in the diagnostic process and for student education. Most hospitals maintain an active collection of teaching files for internal purposes, but many teaching files are also publicly available online, some
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fff41294bd9830877a760b8fc161e392
https://doi.org/10.4018/ijkdb.2018070102
https://doi.org/10.4018/ijkdb.2018070102
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 24:288-297
People often rank and order data points as a vital part of making decisions. Multi-attribute ranking systems are a common tool used to make these data-driven decisions. Such systems often take the form of a table-based visualization in which users as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2e22d3950af84d2b7eb33ceeb7a88c6
https://doi.org/10.1109/tvcg.2017.2745078
https://doi.org/10.1109/tvcg.2017.2745078
Autor:
Alexander Rasin, Jacob D. Furst, Eli T. Brown, Priya Deshpande, Daniela Raicu, Sriram Yarlagadda, Fang Cao
Publikováno v:
KDIR
Radiology teaching files serve as a reference in the diagnosis process and as a learning resource for radiology residents. Many public teaching file data sources are available online and private in-house repositories are maintained in most hospitals.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b77279069118fd125aebea5d67aba79
https://doi.org/10.5220/0008166603720383
https://doi.org/10.5220/0008166603720383
Publikováno v:
2018 IEEE Workshop on Machine Learning from User Interaction for Visualization and Analytics (MLUI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6f322a557cd7b23f848f70291643617
https://doi.org/10.1109/mlui52768.2018.10075650
https://doi.org/10.1109/mlui52768.2018.10075650
Publikováno v:
2018 IEEE Workshop on Machine Learning from User Interaction for Visualization and Analytics (MLUI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6380fcdd1c5bf9a851f7f01e8ed66a04
https://doi.org/10.1109/mlui52768.2018.10075649
https://doi.org/10.1109/mlui52768.2018.10075649