 Connection
Jayashree Kalpathy-Cramer to Radiography, Thoracic
This is a "connection" page, showing publications Jayashree Kalpathy-Cramer has written about Radiography, Thoracic.
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Connection Strength |
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0.448 |
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Li MD, Arun NT, Aggarwal M, Gupta S, Singh P, Little BP, Mendoza DP, Corradi GCA, Takahashi MS, Ferraciolli SF, Succi MD, Lang M, Bizzo BC, Dayan I, Kitamura FC, Kalpathy-Cramer J. Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19. Medicine (Baltimore). 2022 Jul 22; 101(29):e29587.
Score: 0.173
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Li MD, Little BP, Alkasab TK, Mendoza DP, Succi MD, Shepard JO, Lev MH, Kalpathy-Cramer J. Multi-Radiologist User Study for Artificial Intelligence-Guided Grading of COVID-19 Lung Disease Severity on Chest Radiographs. Acad Radiol. 2021 04; 28(4):572-576.
Score: 0.156
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Trivedi A, Robinson C, Blazes M, Ortiz A, Desbiens J, Gupta S, Dodhia R, Bhatraju PK, Liles WC, Kalpathy-Cramer J, Lee AY, Lavista Ferres JM. Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglement. PLoS One. 2022; 17(10):e0274098.
Score: 0.044
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Tsai EB, Simpson S, Lungren MP, Hershman M, Roshkovan L, Colak E, Erickson BJ, Shih G, Stein A, Kalpathy-Cramer J, Shen J, Hafez M, John S, Rajiah P, Pogatchnik BP, Mongan J, Altinmakas E, Ranschaert ER, Kitamura FC, Topff L, Moy L, Kanne JP, Wu CC. The RSNA International COVID-19 Open Radiology Database (RICORD). Radiology. 2021 04; 299(1):E204-E213.
Score: 0.039
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Balachandar N, Chang K, Kalpathy-Cramer J, Rubin DL. Accounting for data variability in multi-institutional distributed deep learning for medical imaging. J Am Med Inform Assoc. 2020 05 01; 27(5):700-708.
Score: 0.037
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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