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2020 – today
- 2023
[j4]Keyvan Rahmani, Rahul Thapa, Pei-Ling Tsou, Satish Casie Chetty, Gina Barnes, Carson K. Lam, Chak Foon Tso:
Assessing the effects of data drift on the performance of machine learning models used in clinical sepsis prediction. Int. J. Medical Informatics 173: 104930 (2023)- 2020
- [j3]Hoyt Burdick, Carson K. Lam
, Samson Mataraso, Anna Siefkas, Gregory Braden, R. Phillip Dellinger, Andrea McCoy, Jean-Louis Vincent, Abigail Green-Saxena, Gina Barnes, Jana L. Hoffman, Jacob S. Calvert, Emily Pellegrini, Ritankar Das:
Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial. Comput. Biol. Medicine 124: 103949 (2020)
2010 – 2019
- 2018
- [j2]Ken Chang, Niranjan Balachandar, Carson K. Lam, Darvin Yi, James M. Brown, Andrew Beers, Bruce R. Rosen, Daniel L. Rubin, Jayashree Kalpathy-Cramer:
Distributed deep learning networks among institutions for medical imaging. J. Am. Medical Informatics Assoc. 25(8): 945-954 (2018) - 2017
- [i2]Darvin Yi, Rebecca Lynn Sawyer, David Cohn III, Jared Dunnmon, Carson K. Lam, Xuerong Xiao, Daniel L. Rubin:
Optimizing and Visualizing Deep Learning for Benign/Malignant Classification in Breast Tumors. CoRR abs/1705.06362 (2017) - [i1]Ken Chang, Niranjan Balachandar, Carson K. Lam, Darvin Yi, James M. Brown, Andrew Beers, Bruce R. Rosen, Daniel L. Rubin, Jayashree Kalpathy-Cramer:
Institutionally Distributed Deep Learning Networks. CoRR abs/1709.05929 (2017)
1990 – 1999
- 1994
- [j1]Richard Cam, Cyril Leung, Carson K. Lam:
Performance analysis of some hard-decision combining schemes. IEEE Trans. Commun. 42(9): 2650-2653 (1994)
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