 Connection
Jayashree Kalpathy-Cramer to Pattern Recognition, Automated
This is a "connection" page, showing publications Jayashree Kalpathy-Cramer has written about Pattern Recognition, Automated.
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Connection Strength |
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0.439 |
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Hoebel KV, Bridge CP, Kim A, Gerstner ER, Ly IK, Deng F, DeSalvo MN, Dietrich J, Huang R, Huang SY, Pomerantz SR, Vagvala S, Rosen BR, Kalpathy-Cramer J. Not without Context-A Multiple Methods Study on Evaluation and Correction of Automated Brain Tumor Segmentations by Experts. Acad Radiol. 2024 04; 31(4):1572-1582.
Score: 0.196
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Kalpathy-Cramer J, de Herrera AG, Demner-Fushman D, Antani S, Bedrick S, Müller H. Evaluating performance of biomedical image retrieval systems--an overview of the medical image retrieval task at ImageCLEF 2004-2013. Comput Med Imaging Graph. 2015 Jan; 39:55-61.
Score: 0.101
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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: 0.087
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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: 0.038
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Müller H, Kalpathy-Cramer J, Hersh W, Geissbuhler A. Using medline queries to generate image retrieval tasks for benchmarking. Stud Health Technol Inform. 2008; 136:523-8.
Score: 0.016
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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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