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Rachael Callcut
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2020 – today
- 2022
- [j1]Kyle Lam, Michael D. Abràmoff, José M. Balibrea, Steven M. Bishop, Richard R. Brady, Rachael Callcut, Manish Chand, Justin Collins, Markus K. Diener, Matthias Eisenmann, Kelly Fermont, Manoel Galvao Neto, Gregory D. Hager, Robert J. Hinchliffe, Alan Horgan, Pierre Jannin, Alexander Langerman, Kartik Logishetty, Amit Mahadik, Lena Maier-Hein, Esteban Martín Antona, Pietro Mascagni, Ryan K. Mathew, Beat P. Müller-Stich, Thomas Neumuth, Felix Nickel, Adrian Park, Gianluca Pellino, Frank Rudzicz, Sam Shah, Mark Slack, Myles J. Smith, Naeem Soomro, Stefanie Speidel, Danail Stoyanov, Henry S. Tilney, Martin Wagner, Ara Darzi, James Kinross, Sanjay Purkayastha:
A Delphi consensus statement for digital surgery. npj Digit. Medicine 5 (2022) - [i3]Yuqing Wang, Yun Zhao, Rachael Callcut, Linda R. Petzold:
Integrating Physiological Time Series and Clinical Notes with Transformer for Early Prediction of Sepsis. CoRR abs/2203.14469 (2022) - 2021
- [c1]Xinlu Zhang, Shiyang Liy, Zhuowei Cheng, Rachael Callcut, Linda R. Petzold:
Domain Adaptation for Trauma Mortality Prediction in EHRs with Feature Disparity. BIBM 2021: 1145-1152 - [i2]Yuqing Wang, Yun Zhao, Rachael Callcut, Linda R. Petzold:
Empirical Analysis of Machine Learning Configurations for Prediction of Multiple Organ Failure in Trauma Patients. CoRR abs/2103.10929 (2021) - [i1]Xinlu Zhang, Yun Zhao, Rachael Callcut, Linda R. Petzold:
Multiple Organ Failure Prediction with Classifier-Guided Generative Adversarial Imputation Networks. CoRR abs/2106.11878 (2021)
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last updated on 2024-10-07 21:20 CEST by the dblp team
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