BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Davids M, Zöllner FG, Ruttorf M, Nees F, Flor H, Schumann G, Schad LR. Fully-automated quality assurance in multi-center studies using MRI phantom measurements. Magnetic Resonance Imaging 2014;32:771-80. [DOI: 10.1016/j.mri.2014.01.017] [Cited by in Crossref: 32] [Cited by in F6Publishing: 28] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Böttinger BW, Baumeister S, Millenet S, Barker GJ, Bokde ALW, Büchel C, Quinlan EB, Desrivières S, Flor H, Grigis A, Garavan H, Gowland P, Heinz A, Ittermann B, Martinot JL, Martinot MP, Artiges E, Orfanos DP, Paus T, Poustka L, Fröhner JH, Smolka MN, Walter H, Whelan R, Schumann G, Banaschewski T, Brandeis D, Nees F; IMAGEN Consortium. Orbitofrontal control of conduct problems? Evidence from healthy adolescents processing negative facial affect. Eur Child Adolesc Psychiatry 2021. [PMID: 33861383 DOI: 10.1007/s00787-021-01770-1] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Fassbender C, Mukherjee P, Schweitzer JB. Reprint of: Minimizing noise in pediatric task-based functional MRI; Adolescents with developmental disabilities and typical development. NeuroImage 2017;154:230-9. [DOI: 10.1016/j.neuroimage.2017.05.007] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.6] [Reference Citation Analysis]
3 Wong OL, Yuan J, Yu SK, Cheung KY. Image quality assessment of a 1.5T dedicated magnetic resonance-simulator for radiotherapy with a flexible radio frequency coil setting using the standard American College of Radiology magnetic resonance imaging phantom test. Quant Imaging Med Surg 2017;7:205-14. [PMID: 28516046 DOI: 10.21037/qims.2017.02.08] [Cited by in Crossref: 12] [Cited by in F6Publishing: 11] [Article Influence: 2.4] [Reference Citation Analysis]
4 Zöllner FG, Gaa T, Zimmer F, Ong MM, Riffel P, Hausmann D, Schoenberg SO, Weis M. [Quantitative perfusion imaging in magnetic resonance imaging]. Radiologe 2016;56:113-23. [PMID: 26796337 DOI: 10.1007/s00117-015-0068-4] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
5 Esses SJ, Lu X, Zhao T, Shanbhogue K, Dane B, Bruno M, Chandarana H. Automated image quality evaluation of T2-weighted liver MRI utilizing deep learning architecture. J Magn Reson Imaging. 2018;47:723-728. [PMID: 28577329 DOI: 10.1002/jmri.25779] [Cited by in Crossref: 45] [Cited by in F6Publishing: 34] [Article Influence: 9.0] [Reference Citation Analysis]
6 Panych LP, Chiou JY, Qin L, Kimbrell VL, Bussolari L, Mulkern RV. On replacing the manual measurement of ACR phantom images performed by MRI technologists with an automated measurement approach. J Magn Reson Imaging 2016;43:843-52. [PMID: 26395366 DOI: 10.1002/jmri.25052] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 0.9] [Reference Citation Analysis]
7 Lin Q, Dai Z, Xia M, Han Z, Huang R, Gong G, Liu C, Bi Y, He Y. A connectivity-based test-retest dataset of multi-modal magnetic resonance imaging in young healthy adults. Sci Data 2015;2:150056. [PMID: 26528395 DOI: 10.1038/sdata.2015.56] [Cited by in Crossref: 28] [Cited by in F6Publishing: 25] [Article Influence: 4.0] [Reference Citation Analysis]
8 Epistatou AC, Tsalafoutas IA, Delibasis KK. An Automated Method for Quality Control in MRI Systems: Methods and Considerations. J Imaging 2020;6:111. [PMID: 34460552 DOI: 10.3390/jimaging6100111] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
9 Gaass T, Schneider MJ, Dietrich O, Ingrisch M, Dinkel J. Technical Note: Quantitative dynamic contrast-enhanced MRI of a 3-dimensional artificial capillary network. Med Phys 2017;44:1462-9. [PMID: 28235128 DOI: 10.1002/mp.12162] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.4] [Reference Citation Analysis]
10 Lee HB, Jang JS, Lee KB, Kim SM. Image quality assessments according to the angle of tilt of a flex tilt coil supporting device: An ACR phantom study. J Appl Clin Med Phys 2021;22:110-6. [PMID: 33934495 DOI: 10.1002/acm2.13218] [Reference Citation Analysis]
11 Senders JT, Harary M, Stopa BM, Staples P, Broekman MLD, Smith TR, Gormley WB, Arnaout O. Information-Based Medicine in Glioma Patients: A Clinical Perspective. Comput Math Methods Med 2018;2018:8572058. [PMID: 30008798 DOI: 10.1155/2018/8572058] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 1.3] [Reference Citation Analysis]
12 Zuo XN, Anderson JS, Bellec P, Birn RM, Biswal BB, Blautzik J, Breitner JC, Buckner RL, Calhoun VD, Castellanos FX, Chen A, Chen B, Chen J, Chen X, Colcombe SJ, Courtney W, Craddock RC, Di Martino A, Dong HM, Fu X, Gong Q, Gorgolewski KJ, Han Y, He Y, He Y, Ho E, Holmes A, Hou XH, Huckins J, Jiang T, Jiang Y, Kelley W, Kelly C, King M, LaConte SM, Lainhart JE, Lei X, Li HJ, Li K, Li K, Lin Q, Liu D, Liu J, Liu X, Liu Y, Lu G, Lu J, Luna B, Luo J, Lurie D, Mao Y, Margulies DS, Mayer AR, Meindl T, Meyerand ME, Nan W, Nielsen JA, O'Connor D, Paulsen D, Prabhakaran V, Qi Z, Qiu J, Shao C, Shehzad Z, Tang W, Villringer A, Wang H, Wang K, Wei D, Wei GX, Weng XC, Wu X, Xu T, Yang N, Yang Z, Zang YF, Zhang L, Zhang Q, Zhang Z, Zhang Z, Zhao K, Zhen Z, Zhou Y, Zhu XT, Milham MP. An open science resource for establishing reliability and reproducibility in functional connectomics. Sci Data 2014;1:140049. [PMID: 25977800 DOI: 10.1038/sdata.2014.49] [Cited by in Crossref: 227] [Cited by in F6Publishing: 181] [Article Influence: 28.4] [Reference Citation Analysis]
13 Ehman MO, Bao Z, Stiving SO, Kasam M, Lanners D, Peterson T, Jonsgaard R, Carter R, McGee KP. Automated low-contrast pattern recognition algorithm for magnetic resonance image quality assessment. Med Phys 2017;44:4009-24. [PMID: 28543961 DOI: 10.1002/mp.12370] [Cited by in Crossref: 1] [Article Influence: 0.2] [Reference Citation Analysis]
14 Bento M, Souza R, Salluzzi M, Rittner L, Zhang Y, Frayne R. Automatic identification of atherosclerosis subjects in a heterogeneous MR brain imaging data set. Magnetic Resonance Imaging 2019;62:18-27. [DOI: 10.1016/j.mri.2019.06.007] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.7] [Reference Citation Analysis]
15 Adjeiwaah M, Garpebring A, Nyholm T. Sensitivity analysis of different quality assurance methods for magnetic resonance imaging in radiotherapy. Phys Imaging Radiat Oncol 2020;13:21-7. [PMID: 33458303 DOI: 10.1016/j.phro.2020.03.001] [Cited by in Crossref: 2] [Article Influence: 1.0] [Reference Citation Analysis]
16 De Tillieux P, Topfer R, Foias A, Leroux I, El Maâchi I, Leblond H, Stikov N, Cohen-adad J. A pneumatic phantom for mimicking respiration-induced artifacts in spinal MRI: Respiration-Induced Artifacts in Spinal MRI. Magn Reson Med 2018;79:600-5. [DOI: 10.1002/mrm.26679] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 0.4] [Reference Citation Analysis]
17 Egger K, Rijntjes M. [Big data and artificial intelligence for diagnostic decision support in atypical dementia]. Nervenarzt 2018;89:875-84. [PMID: 30076451 DOI: 10.1007/s00115-018-0568-3] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
18 Lu W, Dong K, Cui D, Jiao Q, Qiu J. Quality assurance of human functional magnetic resonance imaging: a literature review. Quant Imaging Med Surg 2019;9:1147-62. [PMID: 31367569 DOI: 10.21037/qims.2019.04.18] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 2.7] [Reference Citation Analysis]
19 Triphan SMF, Biederer J, Burmester K, Fellhauer I, Vogelmeier CF, Jörres RA, Kauczor HU, Heußel CP, Wielpütz MO, Jobst BJ. Design and application of an MR reference phantom for multicentre lung imaging trials. PLoS One 2018;13:e0199148. [PMID: 29975714 DOI: 10.1371/journal.pone.0199148] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 1.3] [Reference Citation Analysis]
20 Fantini I, Yasuda C, Bento M, Rittner L, Cendes F, Lotufo R. Automatic MR image quality evaluation using a Deep CNN: A reference-free method to rate motion artifacts in neuroimaging. Comput Med Imaging Graph 2021;90:101897. [PMID: 33770561 DOI: 10.1016/j.compmedimag.2021.101897] [Reference Citation Analysis]
21 Böckelmann F, Hammon M, Lettmaier S, Fietkau R, Bert C, Putz F. Penile bulb sparing in prostate cancer radiotherapy : Dose analysis of an in-house MRI system to improve contouring. Strahlenther Onkol 2019;195:153-63. [PMID: 30315483 DOI: 10.1007/s00066-018-1377-0] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 0.8] [Reference Citation Analysis]
22 Gao Y, Lotey R, Low DA, Hu P, Yang Y. Technical Note: Validation of an automatic ACR phantom quality assurance tool for an MR-guided radiotherapy system. Med Phys 2021;48:1540-5. [PMID: 33580556 DOI: 10.1002/mp.14766] [Reference Citation Analysis]
23 Mannheim JG, Kara F, Doorduin J, Fuchs K, Reischl G, Liang S, Verhoye M, Gremse F, Mezzanotte L, Huisman MC. Standardization of Small Animal Imaging-Current Status and Future Prospects. Mol Imaging Biol 2018;20:716-31. [PMID: 28971332 DOI: 10.1007/s11307-017-1126-2] [Cited by in Crossref: 14] [Cited by in F6Publishing: 12] [Article Influence: 4.7] [Reference Citation Analysis]
24 Fassbender C, Mukherjee P, Schweitzer JB. Minimizing noise in pediatric task-based functional MRI; Adolescents with developmental disabilities and typical development. Neuroimage 2017;149:338-47. [PMID: 28130195 DOI: 10.1016/j.neuroimage.2017.01.021] [Cited by in Crossref: 10] [Cited by in F6Publishing: 9] [Article Influence: 2.0] [Reference Citation Analysis]
25 Neumann W, Lietzmann F, Schad LR, Zöllner FG. Design of a multimodal (1H/23Na MR/CT) anthropomorphic thorax phantom. Z Med Phys 2017;27:124-31. [PMID: 27596568 DOI: 10.1016/j.zemedi.2016.07.004] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 1.3] [Reference Citation Analysis]
26 Ochs AL, Ross DE, Zannoni MD, Abildskov TJ, Bigler ED; Alzheimer's Disease Neuroimaging Initiative. Comparison of Automated Brain Volume Measures obtained with NeuroQuant and FreeSurfer. J Neuroimaging 2015;25:721-7. [PMID: 25727700 DOI: 10.1111/jon.12229] [Cited by in Crossref: 39] [Cited by in F6Publishing: 35] [Article Influence: 5.6] [Reference Citation Analysis]
27 Mohebbian M, Walia E, Habibullah M, Stapleton S, Wahid KA. Classifying MRI motion severity using a stacked ensemble approach. Magn Reson Imaging 2021;75:107-15. [PMID: 33148512 DOI: 10.1016/j.mri.2020.10.007] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
28 Shuster LI. Considerations for the Use of Neuroimaging Technologies for Predicting Recovery of Speech and Language in Aphasia. Am J Speech Lang Pathol 2018;27:291-305. [PMID: 29497745 DOI: 10.1044/2018_AJSLP-16-0180] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
29 De Guio F, Jouvent E, Biessels GJ, Black SE, Brayne C, Chen C, Cordonnier C, De Leeuw FE, Dichgans M, Doubal F, Duering M, Dufouil C, Duzel E, Fazekas F, Hachinski V, Ikram MA, Linn J, Matthews PM, Mazoyer B, Mok V, Norrving B, O'Brien JT, Pantoni L, Ropele S, Sachdev P, Schmidt R, Seshadri S, Smith EE, Sposato LA, Stephan B, Swartz RH, Tzourio C, van Buchem M, van der Lugt A, van Oostenbrugge R, Vernooij MW, Viswanathan A, Werring D, Wollenweber F, Wardlaw JM, Chabriat H. Reproducibility and variability of quantitative magnetic resonance imaging markers in cerebral small vessel disease. J Cereb Blood Flow Metab 2016;36:1319-37. [PMID: 27170700 DOI: 10.1177/0271678X16647396] [Cited by in Crossref: 61] [Cited by in F6Publishing: 34] [Article Influence: 10.2] [Reference Citation Analysis]
30 Prohl AK, Scherrer B, Tomas-Fernandez X, Filip-Dhima R, Kapur K, Velasco-Annis C, Clancy S, Carmody E, Dean M, Valle M, Prabhu SP, Peters JM, Bebin EM, Krueger DA, Northrup H, Wu JY, Sahin M, Warfield SK. Reproducibility of Structural and Diffusion Tensor Imaging in the TACERN Multi-Center Study. Front Integr Neurosci 2019;13:24. [PMID: 31417372 DOI: 10.3389/fnint.2019.00024] [Cited by in Crossref: 12] [Cited by in F6Publishing: 10] [Article Influence: 4.0] [Reference Citation Analysis]
31 Jessen F, Spottke A, Boecker H, Brosseron F, Buerger K, Catak C, Fliessbach K, Franke C, Fuentes M, Heneka MT, Janowitz D, Kilimann I, Laske C, Menne F, Nestor P, Peters O, Priller J, Pross V, Ramirez A, Schneider A, Speck O, Spruth EJ, Teipel S, Vukovich R, Westerteicher C, Wiltfang J, Wolfsgruber S, Wagner M, Düzel E. Design and first baseline data of the DZNE multicenter observational study on predementia Alzheimer's disease (DELCODE). Alzheimers Res Ther 2018;10:15. [PMID: 29415768 DOI: 10.1186/s13195-017-0314-2] [Cited by in Crossref: 51] [Cited by in F6Publishing: 46] [Article Influence: 12.8] [Reference Citation Analysis]