 Connection
Jayashree Kalpathy-Cramer to Radiography
This is a "connection" page, showing publications Jayashree Kalpathy-Cramer has written about Radiography.
|
|
| |
Connection Strength |
|
 |
|
 |
| |
0.247 |
|
|
|
-
Halabi SS, Prevedello LM, Kalpathy-Cramer J, Mamonov AB, Bilbily A, Cicero M, Pan I, Pereira LA, Sousa RT, Abdala N, Kitamura FC, Thodberg HH, Chen L, Shih G, Andriole K, Kohli MD, Erickson BJ, Flanders AE. The RSNA Pediatric Bone Age Machine Learning Challenge. Radiology. 2019 02; 290(2):498-503.
Score: 0.125
-
Zhang M, Qu L, Singh P, Kalpathy-Cramer J, Rubin DL. SplitAVG: A Heterogeneity-Aware Federated Deep Learning Method for Medical Imaging. IEEE J Biomed Health Inform. 2022 09; 26(9):4635-4644.
Score: 0.041
-
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: 0.038
-
Awan M, Dyer BA, Kalpathy-Cramer J, Bongers E, Dahele M, Yang J, Walker GV, Thaker NG, Holliday E, Bishop AJ, Thomas CR, Rosenthal DI, Fuller CD. Auto-segmentation of the brachial plexus assessed with TaCTICS - a software platform for rapid multiple-metric quantitative evaluation of contours. Acta Oncol. 2015 Apr; 54(4):557-60.
Score: 0.023
-
Kahn CE, Kalpathy-Cramer J, Lam CA, Eldredge CE. Accurate determination of imaging modality using an ensemble of text- and image-based classifiers. J Digit Imaging. 2012 Feb; 25(1):37-42.
Score: 0.020
|
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.
|