Connection
Jayashree Kalpathy-Cramer to Radiology
This is a "connection" page, showing publications Jayashree Kalpathy-Cramer has written about Radiology.
|
|
Connection Strength |
|
 |
|
 |
|
1.710 |
|
|
|
-
Yang E, Li MD, Raghavan S, Deng F, Lang M, Succi MD, Huang AJ, Kalpathy-Cramer J. Transformer versus traditional natural language processing: how much data is enough for automated radiology report classification? Br J Radiol. 2023 Sep; 96(1149):20220769.
Score: 0.729
-
Bridge CP, Gorman C, Pieper S, Doyle SW, Lennerz JK, Kalpathy-Cramer J, Clunie DA, Fedorov AY, Herrmann MD. Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology. J Digit Imaging. 2022 12; 35(6):1719-1737.
Score: 0.173
-
Li MD, Chang K, Mei X, Bernheim A, Chung M, Steinberger S, Kalpathy-Cramer J, Little BP. Radiology Implementation Considerations for Artificial Intelligence (AI) Applied to COVID-19, From the AJR Special Series on AI Applications. AJR Am J Roentgenol. 2022 07; 219(1):15-23.
Score: 0.163
-
Li MD, Ahmed SR, Choy E, Lozano-Calderon SA, Kalpathy-Cramer J, Chang CY. Artificial intelligence applied to musculoskeletal oncology: a systematic review. Skeletal Radiol. 2022 Feb; 51(2):245-256.
Score: 0.159
-
Li MD, Deng F, Chang K, Kalpathy-Cramer J, Huang AJ. Automated Radiology-Arthroscopy Correlation of Knee Meniscal Tears Using Natural Language Processing Algorithms. Acad Radiol. 2022 04; 29(4):479-487.
Score: 0.156
-
Li MD, Lang M, Deng F, Chang K, Buch K, Rincon S, Mehan WA, Leslie-Mazwi TM, Kalpathy-Cramer J. Analysis of Stroke Detection during the COVID-19 Pandemic Using Natural Language Processing of Radiology Reports. AJNR Am J Neuroradiol. 2021 03; 42(3):429-434.
Score: 0.154
-
Allen B, Agarwal S, Kalpathy-Cramer J, Dreyer K. Democratizing AI. J Am Coll Radiol. 2019 Jul; 16(7):961-963.
Score: 0.138
-
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
|
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.
|