 Connection
Jayashree Kalpathy-Cramer to Reproducibility of Results
This is a "connection" page, showing publications Jayashree Kalpathy-Cramer has written about Reproducibility of Results.
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0.824 |
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Kinder S, McNamara S, Clark C, Bearce B, Thakuria U, Veturi YA, Deitz G, de Carlo Forest TE, Mandava N, Kahook MY, Singh P, Kalpathy-Cramer J. Optic Cup and Disc Segmentation of Fundus Images Using Artificial Intelligence Externally Validated With Optical Coherence Tomography Measurements. Transl Vis Sci Technol. 2025 Jun 02; 14(6):30.
Score: 0.130
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Kalpathy-Cramer J, Campbell JP, Erdogmus D, Tian P, Kedarisetti D, Moleta C, Reynolds JD, Hutcheson K, Shapiro MJ, Repka MX, Ferrone P, Drenser K, Horowitz J, Sonmez K, Swan R, Ostmo S, Jonas KE, Chan RV, Chiang MF. Plus Disease in Retinopathy of Prematurity: Improving Diagnosis by Ranking Disease Severity and Using Quantitative Image Analysis. Ophthalmology. 2016 11; 123(11):2345-2351.
Score: 0.071
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Kalpathy-Cramer J, Zhao B, Goldgof D, Gu Y, Wang X, Yang H, Tan Y, Gillies R, Napel S. A Comparison of Lung Nodule Segmentation Algorithms: Methods and Results from a Multi-institutional Study. J Digit Imaging. 2016 08; 29(4):476-87.
Score: 0.071
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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: 0.041
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Coyner AS, Young BK, Ostmo SR, Grigorian F, Ells A, Hubbard B, Rodriguez SH, Rishi P, Miller AM, Bhatt AR, Agarwal-Sinha S, Sears J, Chan RVP, Chiang MF, Kalpathy-Cramer J, Binenbaum G, Campbell JP. Use of an Artificial Intelligence-Generated Vascular Severity Score Improved Plus Disease Diagnosis in Retinopathy of Prematurity. Ophthalmology. 2024 Nov; 131(11):1290-1296.
Score: 0.030
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Lycke KD, Kalpathy-Cramer J, Jeronimo J, de Sanjose S, Egemen D, Del Pino M, Marcus J, Schiffman M, Hammer A. Agreement on Lesion Presence and Location at Colposcopy. J Low Genit Tract Dis. 2024 Jan 01; 28(1):37-42.
Score: 0.029
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Chavva IR, Crawford AL, Mazurek MH, Yuen MM, Prabhat AM, Payabvash S, Sze G, Falcone GJ, Matouk CC, de Havenon A, Kim JA, Sharma R, Schiff SJ, Rosen MS, Kalpathy-Cramer J, Iglesias Gonzalez JE, Kimberly WT, Sheth KN. Deep Learning Applications for Acute Stroke Management. Ann Neurol. 2022 10; 92(4):574-587.
Score: 0.027
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Cole ED, Park SH, Kim SJ, Kang KB, Valikodath NG, Al-Khaled T, Patel SN, Jonas KE, Ostmo S, Coyner A, Berrocal A, Drenser KA, Nagiel A, Horowitz JD, Lee TC, Kalpathy-Cramer J, Chiang MF, Campbell JP, Chan RVP. Variability in Plus Disease Diagnosis using Single and Serial Images. Ophthalmol Retina. 2022 12; 6(12):1122-1129.
Score: 0.026
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Hanif A, Lu C, Chang K, Singh P, Coyner AS, Brown JM, Ostmo S, Chan RVP, Rubin D, Chiang MF, Kalpathy-Cramer J, Campbell JP. Federated Learning for Multicenter Collaboration in Ophthalmology: Implications for Clinical Diagnosis and Disease Epidemiology. Ophthalmol Retina. 2022 08; 6(8):650-656.
Score: 0.026
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Lu C, Hanif A, Singh P, Chang K, Coyner AS, Brown JM, Ostmo S, Chan RVP, Rubin D, Chiang MF, Campbell JP, Kalpathy-Cramer J. Federated Learning for Multicenter Collaboration in Ophthalmology: Improving Classification Performance in Retinopathy of Prematurity. Ophthalmol Retina. 2022 08; 6(8):657-663.
Score: 0.026
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Campbell JP, Chiang MF, Chen JS, Moshfeghi DM, Nudleman E, Ruambivoonsuk P, Cherwek H, Cheung CY, Singh P, Kalpathy-Cramer J, Ostmo S, Eydelman M, Chan RVP, Capone A. Artificial Intelligence for Retinopathy of Prematurity: Validation of a Vascular Severity Scale against International Expert Diagnosis. Ophthalmology. 2022 07; 129(7):e69-e76.
Score: 0.026
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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: 0.024
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Bell LC, Semmineh N, An H, Eldeniz C, Wahl R, Schmainda KM, Prah MA, Erickson BJ, Korfiatis P, Wu C, Sorace AG, Yankeelov TE, Rutledge N, Chenevert TL, Malyarenko D, Liu Y, Brenner A, Hu LS, Zhou Y, Boxerman JL, Yen YF, Kalpathy-Cramer J, Beers AL, Muzi M, Madhuranthakam AJ, Pinho M, Johnson B, Quarles CC. Evaluating the Use of rCBV as a Tumor Grade and Treatment Response Classifier Across NCI Quantitative Imaging Network Sites: Part II of the DSC-MRI Digital Reference Object (DRO) Challenge. Tomography. 2020 06; 6(2):203-208.
Score: 0.023
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Huang W, Chen Y, Fedorov A, Li X, Jajamovich GH, Malyarenko DI, Aryal MP, LaViolette PS, Oborski MJ, O'Sullivan F, Abramson RG, Jafari-Khouzani K, Afzal A, Tudorica A, Moloney B, Gupta SN, Besa C, Kalpathy-Cramer J, Mountz JM, Laymon CM, Muzi M, Kinahan PE, Schmainda K, Cao Y, Chenevert TL, Taouli B, Yankeelov TE, Fennessy F, Li X. The Impact of Arterial Input Function Determination Variations on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis Challenge, Part II. Tomography. 2019 03; 5(1):99-109.
Score: 0.021
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Bell LC, Semmineh N, An H, Eldeniz C, Wahl R, Schmainda KM, Prah MA, Erickson BJ, Korfiatis P, Wu C, Sorace AG, Yankeelov TE, Rutledge N, Chenevert TL, Malyarenko D, Liu Y, Brenner A, Hu LS, Zhou Y, Boxerman JL, Yen YF, Kalpathy-Cramer J, Beers AL, Muzi M, Madhuranthakam AJ, Pinho M, Johnson B, Quarles CC. Evaluating Multisite rCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO). Tomography. 2019 03; 5(1):110-117.
Score: 0.021
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Coyner AS, Swan R, Brown JM, Kalpathy-Cramer J, Kim SJ, Campbell JP, Jonas KE, Ostmo S, Chan RVP, Chiang MF. Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of Prematurity. AMIA Annu Symp Proc. 2018; 2018:1224-1232.
Score: 0.021
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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: 0.020
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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: 0.020
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Kim SJ, Campbell JP, Kalpathy-Cramer J, Ostmo S, Jonas KE, Choi D, Chan RVP, Chiang MF. Accuracy and Reliability of Eye-Based vs Quadrant-Based Diagnosis of Plus Disease in Retinopathy of Prematurity. JAMA Ophthalmol. 2018 06 01; 136(6):648-655.
Score: 0.020
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Bane O, Hectors SJ, Wagner M, Arlinghaus LL, Aryal MP, Cao Y, Chenevert TL, Fennessy F, Huang W, Hylton NM, Kalpathy-Cramer J, Keenan KE, Malyarenko DI, Mulkern RV, Newitt DC, Russek SE, Stupic KF, Tudorica A, Wilmes LJ, Yankeelov TE, Yen YF, Boss MA, Taouli B. Accuracy, repeatability, and interplatform reproducibility of T1 quantification methods used for DCE-MRI: Results from a multicenter phantom study. Magn Reson Med. 2018 05; 79(5):2564-2575.
Score: 0.019
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Moleta C, Campbell JP, Kalpathy-Cramer J, Chan RVP, Ostmo S, Jonas K, Chiang MF. Plus Disease in Retinopathy of Prematurity: Diagnostic Trends in 2016 Versus 2007. Am J Ophthalmol. 2017 Apr; 176:70-76.
Score: 0.018
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Hansen MB, Tietze A, Kalpathy-Cramer J, Gerstner ER, Batchelor TT, Ăstergaard L, Mouridsen K. Reliable estimation of microvascular flow patterns in patients with disrupted blood-brain barrier using dynamic susceptibility contrast MRI. J Magn Reson Imaging. 2017 08; 46(2):537-549.
Score: 0.018
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Campbell JP, Kalpathy-Cramer J, Erdogmus D, Tian P, Kedarisetti D, Moleta C, Reynolds JD, Hutcheson K, Shapiro MJ, Repka MX, Ferrone P, Drenser K, Horowitz J, Sonmez K, Swan R, Ostmo S, Jonas KE, Chan RV, Chiang MF. Plus Disease in Retinopathy of Prematurity: A Continuous Spectrum of Vascular Abnormality as a Basis of Diagnostic Variability. Ophthalmology. 2016 11; 123(11):2338-2344.
Score: 0.018
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Campbell JP, Ataer-Cansizoglu E, Bolon-Canedo V, Bozkurt A, Erdogmus D, Kalpathy-Cramer J, Patel SN, Reynolds JD, Horowitz J, Hutcheson K, Shapiro M, Repka MX, Ferrone P, Drenser K, Martinez-Castellanos MA, Ostmo S, Jonas K, Chan RV, Chiang MF. Expert Diagnosis of Plus Disease in Retinopathy of Prematurity From Computer-Based Image Analysis. JAMA Ophthalmol. 2016 Jun 01; 134(6):651-7.
Score: 0.017
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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: 0.017
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Obuchowski NA, Barnhart HX, Buckler AJ, Pennello G, Wang XF, Kalpathy-Cramer J, Kim HJ, Reeves AP. Statistical issues in the comparison of quantitative imaging biomarker algorithms using pulmonary nodule volume as an example. Stat Methods Med Res. 2015 Feb; 24(1):107-40.
Score: 0.015
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Obuchowski NA, Reeves AP, Huang EP, Wang XF, Buckler AJ, Kim HJ, Barnhart HX, Jackson EF, Giger ML, Pennello G, Toledano AY, Kalpathy-Cramer J, Apanasovich TV, Kinahan PE, Myers KJ, Goldgof DB, Barboriak DP, Gillies RJ, Schwartz LH, Sullivan DC. Quantitative imaging biomarkers: a review of statistical methods for computer algorithm comparisons. Stat Methods Med Res. 2015 Feb; 24(1):68-106.
Score: 0.015
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You S, Bas E, Ataer-Cansizoglu E, Kalpathy-Cramer J, Erdogmus D. Principal curve based semi-automatic segmentation of organs in 3D-CT. Annu Int Conf IEEE Eng Med Biol Soc. 2011; 2011:6220-3.
Score: 0.012
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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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