 Connection
Jayashree Kalpathy-Cramer to Sensitivity and Specificity
This is a "connection" page, showing publications Jayashree Kalpathy-Cramer has written about Sensitivity and Specificity.
|
|
| |
Connection Strength |
|
 |
|
 |
| |
0.672 |
|
|
|
-
Kang C, Lo JE, Zhang H, Ng SM, Lin JC, Scott IU, Kalpathy-Cramer J, Liu SA, Greenberg PB. Artificial intelligence for diagnosing exudative age-related macular degeneration. Cochrane Database Syst Rev. 2024 10 17; 10:CD015522.
Score: 0.159
-
Campbell JP, Singh P, Redd TK, Brown JM, Shah PK, Subramanian P, Rajan R, Valikodath N, Cole E, Ostmo S, Chan RVP, Venkatapathy N, Chiang MF, Kalpathy-Cramer J. Applications of Artificial Intelligence for Retinopathy of Prematurity Screening. Pediatrics. 2021 03; 147(3).
Score: 0.123
-
Kalpathy-Cramer J, Hersh W, Kim JS, Thomas CR, Wang SJ. Survival prediction models for estimating the benefit of post-operative radiation therapy for gallbladder cancer and lung cancer. AMIA Annu Symp Proc. 2008 Nov 06; 348-52.
Score: 0.053
-
Hersh W, Müller H, Kalpathy-Cramer J. The ImageCLEFmed medical image retrieval task test collection. J Digit Imaging. 2009 Dec; 22(6):648-55.
Score: 0.052
-
Young BK, Cole ED, Shah PK, Ostmo S, Subramaniam P, Venkatapathy N, Tsai ASH, Coyner AS, Gupta A, Singh P, Chiang MF, Kalpathy-Cramer J, Chan RVP, Campbell JP. Efficacy of Smartphone-Based Telescreening for Retinopathy of Prematurity With and Without Artificial Intelligence in India. JAMA Ophthalmol. 2023 06 01; 141(6):582-588.
Score: 0.036
-
Coyner AS, Oh MA, Shah PK, Singh P, Ostmo S, Valikodath NG, Cole E, Al-Khaled T, Bajimaya S, K C S, Chuluunbat T, Munkhuu B, Subramanian P, Venkatapathy N, Jonas KE, Hallak JA, Chan RVP, Chiang MF, Kalpathy-Cramer J, Campbell JP. External Validation of a Retinopathy of Prematurity Screening Model Using Artificial Intelligence in 3 Low- and Middle-Income Populations. JAMA Ophthalmol. 2022 08 01; 140(8):791-798.
Score: 0.034
-
Coyner AS, Chen JS, Singh P, Schelonka RL, Jordan BK, McEvoy CT, Anderson JE, Chan RVP, Sonmez K, Erdogmus D, Chiang MF, Kalpathy-Cramer J, Campbell JP. Single-Examination Risk Prediction of Severe Retinopathy of Prematurity. Pediatrics. 2021 12 01; 148(6).
Score: 0.033
-
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: 0.031
-
Chen JS, Coyner AS, Ostmo S, Sonmez K, Bajimaya S, Pradhan E, Valikodath N, Cole ED, Al-Khaled T, Chan RVP, Singh P, Kalpathy-Cramer J, Chiang MF, Campbell JP. Deep Learning for the Diagnosis of Stage in Retinopathy of Prematurity: Accuracy and Generalizability across Populations and Cameras. Ophthalmol Retina. 2021 10; 5(10):1027-1035.
Score: 0.031
-
Sun H, Jain A, Leone MJ, Alabsi HS, Brenner LN, Ye E, Ge W, Shao YP, Boutros CL, Wang R, Tesh RA, Magdamo C, Collens SI, Ganglberger W, Bassett IV, Meigs JB, Kalpathy-Cramer J, Li MD, Chu JT, Dougan ML, Stratton LW, Rosand J, Fischl B, Das S, Mukerji SS, Robbins GK, Westover MB. CoVA: An Acuity Score for Outpatient Screening that Predicts Coronavirus Disease 2019 Prognosis. J Infect Dis. 2021 01 04; 223(1):38-46.
Score: 0.031
-
Silva MA, Patel J, Kavouridis V, Gallerani T, Beers A, Chang K, Hoebel KV, Brown J, See AP, Gormley WB, Aziz-Sultan MA, Kalpathy-Cramer J, Arnaout O, Patel NJ. Machine Learning Models can Detect Aneurysm Rupture and Identify Clinical Features Associated with Rupture. World Neurosurg. 2019 Nov; 131:e46-e51.
Score: 0.028
-
Brown JM, Campbell JP, Beers A, Chang K, Ostmo S, Chan RVP, Dy J, Erdogmus D, Ioannidis S, Kalpathy-Cramer J, Chiang MF. Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks. JAMA Ophthalmol. 2018 07 01; 136(7):803-810.
Score: 0.026
-
Ding Y, Hazle JD, Mohamed AS, Frank SJ, Hobbs BP, Colen RR, Gunn GB, Wang J, Kalpathy-Cramer J, Garden AS, Lai SY, Rosenthal DI, Fuller CD. Intravoxel incoherent motion imaging kinetics during chemoradiotherapy for human papillomavirus-associated squamous cell carcinoma of the oropharynx: preliminary results from a prospective pilot study. NMR Biomed. 2015 Dec; 28(12):1645-54.
Score: 0.021
-
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: 0.016
|
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.
|