 Connection
Jayashree Kalpathy-Cramer to Magnetic Resonance Imaging
This is a "connection" page, showing publications Jayashree Kalpathy-Cramer has written about Magnetic Resonance Imaging.
|
|
| |
Connection Strength |
|
 |
|
 |
| |
1.757 |
|
|
|
-
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: 0.251
-
Twilt JJ, Saha A, Bosma JS, van Ginneken B, Bjartell A, Padhani AR, Bonekamp D, Villeirs G, Salomon G, Giannarini G, Kalpathy-Cramer J, Barentsz J, Maier-Hein KH, Rusu M, Rouvière O, van den Bergh R, Panebianco V, Kasivisvanathan V, Obuchowski NA, Yakar D, Elschot M, Veltman J, Fütterer JJ, Huisman H, de Rooij M. Evaluating Biparametric Versus Multiparametric Magnetic Resonance Imaging for Diagnosing Clinically Significant Prostate Cancer: An International, Paired, Noninferiority, Confirmatory Observer Study. Eur Urol. 2025 Feb; 87(2):240-250.
Score: 0.089
-
Saha A, Bosma JS, Twilt JJ, van Ginneken B, Bjartell A, Padhani AR, Bonekamp D, Villeirs G, Salomon G, Giannarini G, Kalpathy-Cramer J, Barentsz J, Maier-Hein KH, Rusu M, Rouvière O, van den Bergh R, Panebianco V, Kasivisvanathan V, Obuchowski NA, Yakar D, Elschot M, Veltman J, Fütterer JJ, de Rooij M, Huisman H. Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study. Lancet Oncol. 2024 07; 25(7):879-887.
Score: 0.086
-
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: 0.083
-
Yang E, Li MD, Raghavan S, Deng F, Lang M, Succi MD, Huang AJ, Kalpathy-Cramer J. Transformer versus traditional natural language processing: how much data is enough for automated radiology report classification? Br J Radiol. 2023 Sep; 96(1149):20220769.
Score: 0.080
-
Zhang JL, Conlin CC, Li X, Layec G, Chang K, Kalpathy-Cramer J, Lee VS. Exercise-induced calf muscle hyperemia: Rapid mapping of magnetic resonance imaging using deep learning approach. Physiol Rep. 2020 08; 8(16):e14563.
Score: 0.066
-
Cardenas CE, Mohamed ASR, Yang J, Gooding M, Veeraraghavan H, Kalpathy-Cramer J, Ng SP, Ding Y, Wang J, Lai SY, Fuller CD, Sharp G. Head and neck cancer patient images for determining auto-segmentation accuracy in T2-weighted magnetic resonance imaging through expert manual segmentations. Med Phys. 2020 Jun; 47(5):2317-2322.
Score: 0.065
-
Allen B, Agarwal S, Kalpathy-Cramer J, Dreyer K. Democratizing AI. J Am Coll Radiol. 2019 Jul; 16(7):961-963.
Score: 0.061
-
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: 0.060
-
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: 0.058
-
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: 0.057
-
Shazeeb MS, Kalpathy-Cramer J, Issa B. MRI Simulation Study Investigating Effects of Vessel Topology, Diffusion, and Susceptibility on Transverse Relaxation Rates Using a Cylinder Fork Model. Sci Rep. 2017 11 24; 7(1):16223.
Score: 0.055
-
Chang K, Bai HX, Zhou H, Su C, Bi WL, Agbodza E, Kavouridis VK, Senders JT, Boaro A, Beers A, Zhang B, Capellini A, Liao W, Shen Q, Li X, Xiao B, Cryan J, Ramkissoon S, Ramkissoon L, Ligon K, Wen PY, Bindra RS, Woo J, Arnaout O, Gerstner ER, Zhang PJ, Rosen BR, Yang L, Huang RY, Kalpathy-Cramer J. Residual Convolutional Neural Network for the Determination of IDH Status in Low- and High-Grade Gliomas from MR Imaging. Clin Cancer Res. 2018 03 01; 24(5):1073-1081.
Score: 0.055
-
Farrar CT, Gale EM, Kennan R, Ramsay I, Masia R, Arora G, Looby K, Wei L, Kalpathy-Cramer J, Bunzel MM, Zhang C, Zhu Y, Akiyama TE, Klimas M, Pinto S, Diyabalanage H, Tanabe KK, Humblet V, Fuchs BC, Caravan P. CM-101: Type I Collagen-targeted MR Imaging Probe for Detection of Liver Fibrosis. Radiology. 2018 05; 287(2):581-589.
Score: 0.055
-
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: 0.054
-
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: 0.051
-
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: 0.049
-
Messer JA, Mohamed AS, Hutcheson KA, Ding Y, Lewin JS, Wang J, Lai SY, Frank SJ, Garden AS, Sandulache V, Eichelberger H, French CC, Colen RR, Phan J, Kalpathy-Cramer J, Hazle JD, Rosenthal DI, Gunn GB, Fuller CD. Magnetic resonance imaging of swallowing-related structures in nasopharyngeal carcinoma patients receiving IMRT: Longitudinal dose-response characterization of quantitative signal kinetics. Radiother Oncol. 2016 Feb; 118(2):315-22.
Score: 0.048
-
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: 0.047
-
Ellingson BM, Bendszus M, Boxerman J, Barboriak D, Erickson BJ, Smits M, Nelson SJ, Gerstner E, Alexander B, Goldmacher G, Wick W, Vogelbaum M, Weller M, Galanis E, Kalpathy-Cramer J, Shankar L, Jacobs P, Pope WB, Yang D, Chung C, Knopp MV, Cha S, van den Bent MJ, Chang S, Yung WK, Cloughesy TF, Wen PY, Gilbert MR. Consensus recommendations for a standardized Brain Tumor Imaging Protocol in clinical trials. Neuro Oncol. 2015 Sep; 17(9):1188-98.
Score: 0.047
-
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: 0.045
-
Kim AE, Lou KW, Giobbie-Hurder A, Chang K, Gidwani M, Hoebel K, Patel JB, Cleveland MC, Singh P, Bridge CP, Ahmed SR, Bearce BA, Liu W, Fuster-Garcia E, Lee EQ, Lin NU, Overmoyer B, Wen PY, Nayak L, Cohen JV, Dietrich J, Eichler A, Heist R, Krop I, Lawrence D, Ligibel J, Tolaney S, Mayer E, Winer E, Perrino CM, Summers EJ, Mahar M, Oh K, Shih HA, Cahill DP, Rosen BR, Yen YF, Kalpathy-Cramer J, Martinez-Lage M, Sullivan RJ, Brastianos PK, Emblem KE, Gerstner ER. Abnormal vascular structure and function within brain metastases is linked to pembrolizumab resistance. Neuro Oncol. 2024 05 03; 26(5):965-974.
Score: 0.021
-
Li W, Partridge SC, Newitt DC, Steingrimsson J, Marques HS, Bolan PJ, Hirano M, Bearce BA, Kalpathy-Cramer J, Boss MA, Teng X, Zhang J, Cai J, Kontos D, Cohen EA, Mankowski WC, Liu M, Ha R, Pellicer-Valero OJ, Maier-Hein K, Rabinovici-Cohen S, Tlusty T, Ozery-Flato M, Parekh VS, Jacobs MA, Yan R, Sung K, Kazerouni AS, DiCarlo JC, Yankeelov TE, Chenevert TL, Hylton NM. Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 Challenge. Radiol Imaging Cancer. 2024 01; 6(1):e230033.
Score: 0.021
-
Peng J, Kim DD, Patel JB, Zeng X, Huang J, Chang K, Xun X, Zhang C, Sollee J, Wu J, Dalal DJ, Feng X, Zhou H, Zhu C, Zou B, Jin K, Wen PY, Boxerman JL, Warren KE, Poussaint TY, States LJ, Kalpathy-Cramer J, Yang L, Huang RY, Bai HX. Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors. Neuro Oncol. 2022 02 01; 24(2):289-299.
Score: 0.018
-
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: 0.017
-
Lang M, Li MD, Jiang KZ, Yoon BC, Mendoza DP, Flores EJ, Rincon SP, Mehan WA, Conklin J, Huang SY, Lang AL, Giao DM, Leslie-Mazwi TM, Kalpathy-Cramer J, Little BP, Buch K. Severity of Chest Imaging is Correlated with Risk of Acute Neuroimaging Findings among Patients with COVID-19. AJNR Am J Neuroradiol. 2021 05; 42(5):831-837.
Score: 0.017
-
Daye D, Tabari A, Kim H, Chang K, Kamran SC, Hong TS, Kalpathy-Cramer J, Gee MS. Quantitative tumor heterogeneity MRI profiling improves machine learning-based prognostication in patients with metastatic colon cancer. Eur Radiol. 2021 Aug; 31(8):5759-5767.
Score: 0.017
-
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: 0.017
-
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: 0.016
-
Gerstner ER, Emblem KE, Chang K, Vakulenko-Lagun B, Yen YF, Beers AL, Dietrich J, Plotkin SR, Catana C, Hooker JM, Duda DG, Rosen B, Kalpathy-Cramer J, Jain RK, Batchelor T. Bevacizumab Reduces Permeability and Concurrent Temozolomide Delivery in a Subset of Patients with Recurrent Glioblastoma. Clin Cancer Res. 2020 01 01; 26(1):206-212.
Score: 0.016
-
Choudhery S, Chou SS, Chang K, Kalpathy-Cramer J, Lehman CD. Kinetic Analysis of Lesions Identified on a Rapid Abridged Multiphase (RAMP) Breast MRI Protocol. Acad Radiol. 2020 05; 27(5):672-681.
Score: 0.015
-
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: 0.015
-
Prust ML, Jafari-Khouzani K, Kalpathy-Cramer J, Polaskova P, Batchelor TT, Gerstner ER, Dietrich J. Standard chemoradiation in combination with VEGF targeted therapy for glioblastoma results in progressive gray and white matter volume loss. Neuro Oncol. 2018 01 22; 20(2):289-291.
Score: 0.014
-
Lauer A, Da X, Hansen MB, Boulouis G, Ou Y, Cai X, Liberato Celso Pedrotti A, Kalpathy-Cramer J, Caruso P, Hayden DL, Rost N, Mouridsen K, Eichler FS, Rosen B, Musolino PL. ABCD1 dysfunction alters white matter microvascular perfusion. Brain. 2017 Dec 01; 140(12):3139-3152.
Score: 0.014
-
Le M, Delingette H, Kalpathy-Cramer J, Gerstner ER, Batchelor T, Unkelbach J, Ayache N. Personalized Radiotherapy Planning Based on a Computational Tumor Growth Model. IEEE Trans Med Imaging. 2017 03; 36(3):815-825.
Score: 0.013
-
Prust MJ, Jafari-Khouzani K, Kalpathy-Cramer J, Polaskova P, Batchelor TT, Gerstner ER, Dietrich J. Standard chemoradiation for glioblastoma results in progressive brain volume loss. Neurology. 2015 Aug 25; 85(8):683-91.
Score: 0.012
-
Prah MA, Stufflebeam SM, Paulson ES, Kalpathy-Cramer J, Gerstner ER, Batchelor TT, Barboriak DP, Rosen BR, Schmainda KM. Repeatability of Standardized and Normalized Relative CBV in Patients with Newly Diagnosed Glioblastoma. AJNR Am J Neuroradiol. 2015 Sep; 36(9):1654-61.
Score: 0.012
-
Pinho MC, Polaskova P, Kalpathy-Cramer J, Jennings D, Emblem KE, Jain RK, Rosen BR, Wen PY, Sorensen AG, Batchelor TT, Gerstner ER. Low incidence of pseudoprogression by imaging in newly diagnosed glioblastoma patients treated with cediranib in combination with chemoradiation. Oncologist. 2014 Jan; 19(1):75-81.
Score: 0.010
-
Batchelor TT, Gerstner ER, Emblem KE, Duda DG, Kalpathy-Cramer J, Snuderl M, Ancukiewicz M, Polaskova P, Pinho MC, Jennings D, Plotkin SR, Chi AS, Eichler AF, Dietrich J, Hochberg FH, Lu-Emerson C, Iafrate AJ, Ivy SP, Rosen BR, Loeffler JS, Wen PY, Sorensen AG, Jain RK. Improved tumor oxygenation and survival in glioblastoma patients who show increased blood perfusion after cediranib and chemoradiation. Proc Natl Acad Sci U S A. 2013 Nov 19; 110(47):19059-64.
Score: 0.010
-
Fedorov A, Beichel R, Kalpathy-Cramer J, Finet J, Fillion-Robin JC, Pujol S, Bauer C, Jennings D, Fennessy F, Sonka M, Buatti J, Aylward S, Miller JV, Pieper S, Kikinis R. 3D Slicer as an image computing platform for the Quantitative Imaging Network. Magn Reson Imaging. 2012 Nov; 30(9):1323-41.
Score: 0.009
-
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: 0.009
|
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.
|