Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Beliz Gunel"'
Autor:
Jeffrey Dominic, Nandita Bhaskhar, Arjun D. Desai, Andrew Schmidt, Elka Rubin, Beliz Gunel, Garry E. Gold, Brian A. Hargreaves, Leon Lenchik, Robert Boutin, Akshay S. Chaudhari
Publikováno v:
Bioengineering, Vol 10, Iss 2, p 207 (2023)
We systematically evaluate the training methodology and efficacy of two inpainting-based pretext tasks of context prediction and context restoration for medical image segmentation using self-supervised learning (SSL). Multiple versions of self-superv
Externí odkaz:
https://doaj.org/article/c06e605c6de941c68889e1ff9782dcbd
Publikováno v:
Proceedings of the VLDB Endowment. 14:997-1005
Extracting structured information from templatic documents is an important problem with the potential to automate many real-world business workflows such as payment, procurement, and payroll. The core challenge is that such documents can be laid out
Autor:
Beliz Gunel, Arda Sahiner, Arjun D. Desai, Akshay S. Chaudhari, Shreyas Vasanawala, Mert Pilanci, John Pauly
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164453
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4441b207448af37bcdfc75b7563d241e
https://doi.org/10.1007/978-3-031-16446-0_70
https://doi.org/10.1007/978-3-031-16446-0_70
Autor:
Edouard Grave, Veselin Stoyanov, Vishrav Chaudhary, Beliz Gunel, Jingfei Du, Onur Celebi, Michael Auli, Alexis Conneau
Publikováno v:
NAACL-HLT
Unsupervised pre-training has led to much recent progress in natural language understanding. In this paper, we study self-training as another way to leverage unlabeled data through semi-supervised learning. To obtain additional data for a specific ta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35d9966a169360a0ecb857f71449e7a5
Autor:
Greig C. Scott, Di Xiao, Neerav Dixit, Beliz Gunel, Steven M. Conolly, Bo Zheng, Patrick W. Goodwill, Wencong Zhang, Kuan Lu
Publikováno v:
IEEE Transactions on Biomedical Circuits and Systems. 11:1041-1052
Inductive sensor-based measurement techniques are useful for a wide range of biomedical applications. However, optimizing the noise performance of these sensors is challenging at broadband frequencies, owing to the frequency-dependent reactance of th
Autor:
Bo Zheng, Kuan Lu, Justin J. Konkle, Daniel W. Hensley, Paul Keselman, Ryan D. Orendorff, Zhi Wei Tay, Elaine Yu, Xinyi Y. Zhou, Mindy Bishop, Beliz Gunel, Laura Taylor, R. Matthew Ferguson, Amit P. Khandhar, Scott J. Kemp, Kannan M. Krishnan, Patrick W. Goodwill, Steven M. Conolly
Publikováno v:
Design and Applications of Nanoparticles in Biomedical Imaging ISBN: 9783319421674
Molecular imaging has been instrumental for unraveling the mystery of biological processes and for diagnosing disease with more accuracy than ever before. The existing repertoire of molecular imaging techniques has been exceedingly fruitful for both
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7328864933b3c9bd85ce75b2af2c85d0
https://doi.org/10.1007/978-3-319-42169-8_4
https://doi.org/10.1007/978-3-319-42169-8_4
Autor:
Elaine W. Yu, Beliz Gunel, Tandis Vazin, Patrick W. Goodwill, Bo Zheng, Marc Philip von See, Kuan Lu, Steven M. Conolly, David V. Schaffer
Publikováno v:
Theranostics 3 (6): 291-301 (2016-01-01)
Theranostics
Theranostics
Stem cell therapies have enormous potential for treating many debilitating diseases, including heart failure, stroke and traumatic brain injury. For maximal efficacy, these therapies require targeted cell delivery to specific tissues followed by succ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47060a92c4c73364b7a1e23bb6984b1a
https://tore.tuhh.de/handle/11420/2024
https://tore.tuhh.de/handle/11420/2024