 Connection
Jayashree Kalpathy-Cramer to Algorithms
This is a "connection" page, showing publications Jayashree Kalpathy-Cramer has written about Algorithms.
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2.496 |
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Chang K, Beers AL, Bai HX, Brown JM, Ly KI, Li X, Senders JT, Kavouridis VK, Boaro A, Su C, Bi WL, Rapalino O, Liao W, Shen Q, Zhou H, Xiao B, Wang Y, Zhang PJ, Pinho MC, Wen PY, Batchelor TT, Boxerman JL, Arnaout O, Rosen BR, Gerstner ER, Yang L, Huang RY, Kalpathy-Cramer J. Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement. Neuro Oncol. 2019 11 04; 21(11):1412-1422.
Score: 0.370
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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: 0.295
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Brink L, Romero RA, Coombs L, Tilkin M, Mazaheri S, Gichoya J, Zaiman Z, Trivedi H, Medina A, Bizzo BC, Chang K, Kalpathy-Cramer J, Kalra MK, Astuto B, Ramirez C, Majumdar S, Lee AY, Lee CI, Cross NM, Chen PH, Ciancibello M, Chiunda A, Nachand D, Shah C, Wald C. Multi-Institutional Evaluation and Training of Breast Density Classification AI Algorithm Using ACR Connect and AI-LAB. J Am Coll Radiol. 2025 Feb; 22(2):211-219.
Score: 0.131
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Schmidt K, Bearce B, Chang K, Coombs L, Farahani K, Elbatel M, Mouheb K, Marti R, Zhang R, Zhang Y, Wang Y, Hu Y, Ying H, Xu Y, Testagrose C, Demirer M, Gupta V, Akünal Ü, Bujotzek M, Maier-Hein KH, Qin Y, Li X, Kalpathy-Cramer J, Roth HR. Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge. Med Image Anal. 2024 Jul; 95:103206.
Score: 0.127
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Hoebel KV, Bridge CP, Ahmed S, Akintola O, Chung C, Huang RY, Johnson JM, Kim A, Ly KI, Chang K, Patel J, Pinho M, Batchelor TT, Rosen BR, Gerstner ER, Kalpathy-Cramer J. Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation. Radiol Artif Intell. 2024 01; 6(1):e220231.
Score: 0.123
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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: 0.122
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Gupta S, Kumar S, Chang K, Lu C, Singh P, Kalpathy-Cramer J. Collaborative Privacy-preserving Approaches for Distributed Deep Learning Using Multi-Institutional Data. Radiographics. 2023 04; 43(4):e220107.
Score: 0.117
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Kalpathy-Cramer J, Patel JB, Bridge C, Chang K. Basic Artificial Intelligence Techniques: Evaluation of Artificial Intelligence Performance. Radiol Clin North Am. 2021 11; 59(6):941-954.
Score: 0.106
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Campbell JP, Kim SJ, Brown JM, Ostmo S, Chan RVP, Kalpathy-Cramer J, Chiang MF. Evaluation of a Deep Learning-Derived Quantitative Retinopathy of Prematurity Severity Scale. Ophthalmology. 2021 07; 128(7):1070-1076.
Score: 0.099
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Choi RY, Brown JM, Kalpathy-Cramer J, Chan RVP, Ostmo S, Chiang MF, Campbell JP. Variability in Plus Disease Identified Using a Deep Learning-Based Retinopathy of Prematurity Severity Scale. Ophthalmol Retina. 2020 10; 4(10):1016-1021.
Score: 0.096
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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: 0.087
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Mohamed AS, Ruangskul MN, Awan MJ, Baron CA, Kalpathy-Cramer J, Castillo R, Castillo E, Guerrero TM, Kocak-Uzel E, Yang J, Court LE, Kantor ME, Gunn GB, Colen RR, Frank SJ, Garden AS, Rosenthal DI, Fuller CD. Quality assurance assessment of diagnostic and radiation therapy-simulation CT image registration for head and neck radiation therapy: anatomic region of interest-based comparison of rigid and deformable algorithms. Radiology. 2015 Mar; 274(3):752-63.
Score: 0.065
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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: 0.065
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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: 0.064
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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: 0.064
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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: 0.063
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de Sanjosé S, Perkins RB, Campos N, Inturrisi F, Egemen D, Befano B, Rodriguez AC, Jerónimo J, Cheung LC, Desai K, Han P, Novetsky AP, Ukwuani A, Marcus J, Ahmed SR, Wentzensen N, Kalpathy-Cramer J, Schiffman M. Design of the HPV-automated visual evaluation (PAVE) study: Validating a novel cervical screening strategy. Elife. 2024 Jan 15; 12.
Score: 0.031
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Egemen D, Perkins RB, Cheung LC, Befano B, Rodriguez AC, Desai K, Lemay A, Ahmed SR, Antani S, Jeronimo J, Wentzensen N, Kalpathy-Cramer J, De Sanjose S, Schiffman M. Artificial intelligence-based image analysis in clinical testing: lessons from cervical cancer screening. J Natl Cancer Inst. 2024 01 10; 116(1):26-33.
Score: 0.031
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Deng B, Gu H, Zhu H, Chang K, Hoebel KV, Patel JB, Kalpathy-Cramer J, Carp SA. FDU-Net: Deep Learning-Based Three-Dimensional Diffuse Optical Image Reconstruction. IEEE Trans Med Imaging. 2023 08; 42(8):2439-2450.
Score: 0.030
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Coyner AS, Singh P, Brown JM, Ostmo S, Chan RVP, Chiang MF, Kalpathy-Cramer J, Campbell JP. Association of Biomarker-Based Artificial Intelligence With Risk of Racial Bias in Retinal Images. JAMA Ophthalmol. 2023 06 01; 141(6):543-552.
Score: 0.030
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Konz N, Buda M, Gu H, Saha A, Yang J, Chledowski J, Park J, Witowski J, Geras KJ, Shoshan Y, Gilboa-Solomon F, Khapun D, Ratner V, Barkan E, Ozery-Flato M, Martí R, Omigbodun A, Marasinou C, Nakhaei N, Hsu W, Sahu P, Hossain MB, Lee J, Santos C, Przelaskowski A, Kalpathy-Cramer J, Bearce B, Cha K, Farahani K, Petrick N, Hadjiiski L, Drukker K, Armato SG, Mazurowski MA. A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast Tomosynthesis. JAMA Netw Open. 2023 02 01; 6(2):e230524.
Score: 0.029
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Robinson-Weiss C, Patel J, Bizzo BC, Glazer DI, Bridge CP, Andriole KP, Dabiri B, Chin JK, Dreyer K, Kalpathy-Cramer J, Mayo-Smith WW. Machine Learning for Adrenal Gland Segmentation and Classification of Normal and Adrenal Masses at CT. Radiology. 2023 Feb; 306(2):e220101.
Score: 0.028
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Balagurunathan Y, Beers A, Mcnitt-Gray M, Hadjiiski L, Napel S, Goldgof D, Perez G, Arbelaez P, Mehrtash A, Kapur T, Yang E, Moon JW, Perez GB, Delgado-Gonzalo R, Farhangi MM, Amini AA, Ni R, Feng X, Bagari A, Vaidhya K, Veasey B, Safta W, Frigui H, Enguehard J, Gholipour A, Castillo LS, Daza LA, Pinsky P, Kalpathy-Cramer J, Farahani K. Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. IEEE Trans Med Imaging. 2021 12; 40(12):3748-3761.
Score: 0.027
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Boxerman JL, Quarles CC, Hu LS, Erickson BJ, Gerstner ER, Smits M, Kaufmann TJ, Barboriak DP, Huang RH, Wick W, Weller M, Galanis E, Kalpathy-Cramer J, Shankar L, Jacobs P, Chung C, van den Bent MJ, Chang S, Al Yung WK, Cloughesy TF, Wen PY, Gilbert MR, Rosen BR, Ellingson BM, Schmainda KM. Consensus recommendations for a dynamic susceptibility contrast MRI protocol for use in high-grade gliomas. Neuro Oncol. 2020 09 29; 22(9):1262-1275.
Score: 0.025
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Langlotz CP, Allen B, Erickson BJ, Kalpathy-Cramer J, Bigelow K, Cook TS, Flanders AE, Lungren MP, Mendelson DS, Rudie JD, Wang G, Kandarpa K. A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop. Radiology. 2019 06; 291(3):781-791.
Score: 0.022
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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: 0.022
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Coyner AS, Swan R, Campbell JP, Ostmo S, Brown JM, Kalpathy-Cramer J, Kim SJ, Jonas KE, Chan RVP, Chiang MF. Automated Fundus Image Quality Assessment in Retinopathy of Prematurity Using Deep Convolutional Neural Networks. Ophthalmol Retina. 2019 05; 3(5):444-450.
Score: 0.022
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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: 0.022
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Ou Y, Zöllei L, Da X, Retzepi K, Murphy SN, Gerstner ER, Rosen BR, Grant PE, Kalpathy-Cramer J, Gollub RL. Field of View Normalization in Multi-Site Brain MRI. Neuroinformatics. 2018 10; 16(3-4):431-444.
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: 0.021
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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: 0.021
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Schmainda KM, Prah MA, Rand SD, Liu Y, Logan B, Muzi M, Rane SD, Da X, Yen YF, Kalpathy-Cramer J, Chenevert TL, Hoff B, Ross B, Cao Y, Aryal MP, Erickson B, Korfiatis P, Dondlinger T, Bell L, Hu L, Kinahan PE, Quarles CC. Multisite Concordance of DSC-MRI Analysis for Brain Tumors: Results of a National Cancer Institute Quantitative Imaging Network Collaborative Project. AJNR Am J Neuroradiol. 2018 06; 39(6):1008-1016.
Score: 0.021
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Lee A, Taylor P, Kalpathy-Cramer J, Tufail A. Machine Learning Has Arrived! Ophthalmology. 2017 12; 124(12):1726-1728.
Score: 0.020
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Hansen MB, Tietze A, Kalpathy-Cramer J, Gerstner ER, Batchelor TT, Østergaard 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: 0.019
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Le M, Delingette H, Kalpathy-Cramer J, Gerstner ER, Batchelor T, Unkelbach J, Ayache N. MRI Based Bayesian Personalization of a Tumor Growth Model. IEEE Trans Med Imaging. 2016 10; 35(10):2329-2339.
Score: 0.018
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Menze BH, Jakab A, Bauer S, Kalpathy-Cramer J, Farahani K, Kirby J, Burren Y, Porz N, Slotboom J, Wiest R, Lanczi L, Gerstner E, Weber MA, Arbel T, Avants BB, Ayache N, Buendia P, Collins DL, Cordier N, Corso JJ, Criminisi A, Das T, Delingette H, Demiralp Ç, Durst CR, Dojat M, Doyle S, Festa J, Forbes F, Geremia E, Glocker B, Golland P, Guo X, Hamamci A, Iftekharuddin KM, Jena R, John NM, Konukoglu E, Lashkari D, Mariz JA, Meier R, Pereira S, Precup D, Price SJ, Raviv TR, Reza SM, Ryan M, Sarikaya D, Schwartz L, Shin HC, Shotton J, Silva CA, Sousa N, Subbanna NK, Szekely G, Taylor TJ, Thomas OM, Tustison NJ, Unal G, Vasseur F, Wintermark M, Ye DH, Zhao L, Zhao B, Zikic D, Prastawa M, Reyes M, Van Leemput K. The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans Med Imaging. 2015 Oct; 34(10):1993-2024.
Score: 0.016
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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: 0.014
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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: 0.013
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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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