 Connection
Jayashree Kalpathy-Cramer to Lung
This is a "connection" page, showing publications Jayashree Kalpathy-Cramer has written about Lung.
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Connection Strength |
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0.250 |
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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: 0.072
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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: 0.065
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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: 0.064
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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: 0.018
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Balagurunathan Y, Beers A, Mcnitt-Gray M, Hadjiiski L, Napel S, Goldgof D, Perez G, Arbelaez P, Mehrtash A, Kapur T, Yang E, Moon JW, Perez GB, Delgado-Gonzalo R, Farhangi MM, Amini AA, Ni R, Feng X, Bagari A, Vaidhya K, Veasey B, Safta W, Frigui H, Enguehard J, Gholipour A, Castillo LS, Daza LA, Pinsky P, Kalpathy-Cramer J, Farahani K. Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. IEEE Trans Med Imaging. 2021 12; 40(12):3748-3761.
Score: 0.017
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Robins M, Kalpathy-Cramer J, Obuchowski NA, Buckler A, Athelogou M, Jarecha R, Petrick N, Pezeshk A, Sahiner B, Samei E. Evaluation of Simulated Lesions as Surrogates to Clinical Lesions for Thoracic CT Volumetry: The Results of an International Challenge. Acad Radiol. 2019 07; 26(7):e161-e173.
Score: 0.014
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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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