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For: Jahani N, Choi S, Choi J, Iyer K, Hoffman EA, Lin CL. Assessment of regional ventilation and deformation using 4D-CT imaging for healthy human lungs during tidal breathing. J Appl Physiol (1985) 2015;119:1064-74. [PMID: 26316512 DOI: 10.1152/japplphysiol.00339.2015] [Cited by in Crossref: 33] [Cited by in F6Publishing: 24] [Article Influence: 4.7] [Reference Citation Analysis]
Number Citing Articles
1 Yamagishi H, Chen-yoshikawa TF, Oguma T, Hirai T, Date H. Morphological and functional reserves of the right middle lobe: Radiological analysis of changes after right lower lobectomy in healthy individuals. The Journal of Thoracic and Cardiovascular Surgery 2021;162:1417-1423.e2. [DOI: 10.1016/j.jtcvs.2020.08.017] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
2 Verbanck S, Paiva M. Could lobar flow sequencing account for convection-dependent ventilation heterogeneity in normal humans? Journal of Applied Physiology 2016;121:589-91. [DOI: 10.1152/japplphysiol.01049.2015] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
3 Valenga MH, Vitorasso RL, Rodrigues TG, Pazetti R, Cardoso PFG, Moriya HT, Aoki FG. An in vivo image acquisition system for the evaluation of tracheal mechanics in rats. Artif Organs 2020;44:504-12. [PMID: 31715014 DOI: 10.1111/aor.13604] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
4 Bates AJ, Schuh A, McConnell K, Williams BM, Lanier JM, Willmering MM, Woods JC, Fleck RJ, Dumoulin CL, Amin RS. A novel method to generate dynamic boundary conditions for airway CFD by mapping upper airway movement with non-rigid registration of dynamic and static MRI. Int J Numer Method Biomed Eng 2018;34:e3144. [PMID: 30133165 DOI: 10.1002/cnm.3144] [Cited by in Crossref: 12] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
5 Young HM, Eddy RL, Parraga G. MRI and CT lung biomarkers: Towards an in vivo understanding of lung biomechanics. Clin Biomech (Bristol, Avon) 2019;66:107-22. [PMID: 29037603 DOI: 10.1016/j.clinbiomech.2017.09.016] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 0.8] [Reference Citation Analysis]
6 Yoon S, Tam TM, Rajaraman PK, Lin CL, Tawhai M, Hoffman EA, Choi S. An integrated 1D breathing lung simulation with relative hysteresis of airway structure and regional pressure for healthy and asthmatic human lungs. J Appl Physiol (1985) 2020;129:732-47. [PMID: 32758040 DOI: 10.1152/japplphysiol.00176.2020] [Reference Citation Analysis]
7 Choi S, Yoon S, Jeon J, Zou C, Choi J, Tawhai MH, Hoffman EA, Delvadia R, Babiskin A, Walenga R, Lin CL. 1D network simulations for evaluating regional flow and pressure distributions in healthy and asthmatic human lungs. J Appl Physiol (1985) 2019;127:122-33. [PMID: 31095459 DOI: 10.1152/japplphysiol.00016.2019] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 2.7] [Reference Citation Analysis]
8 Yang MY, Ruzycki C, Verschuer J, Katsifis A, Eberl S, Wong K, Golshahi L, Brannan JD, Finlay WH, Chan H. Examining the ability of empirical correlations to predict subject specific in vivo extrathoracic aerosol deposition during tidal breathing. Aerosol Science and Technology 2017;51:363-76. [DOI: 10.1080/02786826.2016.1262532] [Cited by in Crossref: 15] [Cited by in F6Publishing: 7] [Article Influence: 2.5] [Reference Citation Analysis]
9 Goo HW. Four-Dimensional Thoracic CT in Free-Breathing Children. Korean J Radiol 2019;20:50-7. [PMID: 30627021 DOI: 10.3348/kjr.2018.0325] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.8] [Reference Citation Analysis]
10 Pozin N, Montesantos S, Katz I, Pichelin M, Vignon-Clementel I, Grandmont C. Predicted airway obstruction distribution based on dynamical lung ventilation data: A coupled modeling-machine learning methodology. Int J Numer Method Biomed Eng 2018;34:e3108. [PMID: 29799665 DOI: 10.1002/cnm.3108] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
11 Cho HB, Chae KJ, Jin GY, Choi J, Lin CL, Hoffman EA, Wenzel SE, Castro M, Fain SB, Jarjour NN, Schiebler ML, Barr RG, Hansel N, Cooper CB, Kleerup EC, Han MK, Woodruff PG, Kanner RE, Bleecker ER, Peters SP, Moore WC, Lee CH, Choi S; National Heart, Lung and Blood Institute's SubPopulations and InteRmediate Outcome Measures In COPD Study (SPIROMICS) and Severe Asthma Research Program (SARP). Structural and Functional Features on Quantitative Chest Computed Tomography in the Korean Asian versus the White American Healthy Non-Smokers. Korean J Radiol 2019;20:1236-45. [PMID: 31270987 DOI: 10.3348/kjr.2019.0083] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
12 Bates AJ, Schuh A, Amine-Eddine G, McConnell K, Loew W, Fleck RJ, Woods JC, Dumoulin CL, Amin RS. Assessing the relationship between movement and airflow in the upper airway using computational fluid dynamics with motion determined from magnetic resonance imaging. Clin Biomech (Bristol, Avon) 2019;66:88-96. [PMID: 29079097 DOI: 10.1016/j.clinbiomech.2017.10.011] [Cited by in Crossref: 19] [Cited by in F6Publishing: 16] [Article Influence: 3.8] [Reference Citation Analysis]
13 Jahani N, Cohen E, Hsieh MK, Weinstein SP, Pantalone L, Hylton N, Newitt D, Davatzikos C, Kontos D. Prediction of Treatment Response to Neoadjuvant Chemotherapy for Breast Cancer via Early Changes in Tumor Heterogeneity Captured by DCE-MRI Registration. Sci Rep 2019;9:12114. [PMID: 31431633 DOI: 10.1038/s41598-019-48465-x] [Cited by in Crossref: 14] [Cited by in F6Publishing: 11] [Article Influence: 4.7] [Reference Citation Analysis]
14 Collier G, Horn F, Wild J, Zuo L, Zhou T. Commentaries on Viewpoint: Could lobar flow sequencing account for convection-dependent ventilation heterogeneity in normal humans? J Appl Physiol (1985) 2016;121:592. [PMID: 27543659 DOI: 10.1152/japplphysiol.00498.2016] [Cited by in Crossref: 1] [Article Influence: 0.2] [Reference Citation Analysis]
15 Saito M, Chen-Yoshikawa TF, Nakamoto Y, Kayawake H, Tokuno J, Ueda S, Yamagishi H, Gochi F, Okabe R, Takahagi A, Hamaji M, Motoyama H, Aoyama A, Date H. Unilateral Chronic Lung Allograft Dysfunction Assessed by Biphasic Computed Tomographic Volumetry in Bilateral Living-donor Lobar Lung Transplantation. Transplant Direct 2018;4:e398. [PMID: 30534589 DOI: 10.1097/TXD.0000000000000839] [Cited by in Crossref: 8] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
16 Roth CJ, Yoshihara L, Ismail M, Wall WA. Computational modelling of the respiratory system: Discussion of coupled modelling approaches and two recent extensions. Computer Methods in Applied Mechanics and Engineering 2017;314:473-93. [DOI: 10.1016/j.cma.2016.08.010] [Cited by in Crossref: 16] [Cited by in F6Publishing: 10] [Article Influence: 3.2] [Reference Citation Analysis]
17 Boucneau T, Fernandez B, Larson P, Darrasse L, Maître X. 3D Magnetic Resonance Spirometry. Sci Rep 2020;10:9649. [PMID: 32541799 DOI: 10.1038/s41598-020-66202-7] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
18 Hurtado DE, Villarroel N, Andrade C, Retamal J, Bugedo G, Bruhn A. Spatial patterns and frequency distributions of regional deformation in the healthy human lung. Biomech Model Mechanobiol 2017;16:1413-23. [DOI: 10.1007/s10237-017-0895-5] [Cited by in Crossref: 16] [Cited by in F6Publishing: 12] [Article Influence: 3.2] [Reference Citation Analysis]
19 Tane S, Kitazume M, Fujibayashi Y, Kuroda S, Kimura K, Kitamura Y, Takenaka D, Nishio W. The difference in postoperative pulmonary functional change between upper and lower thoracoscopic lobectomy. Interact Cardiovasc Thorac Surg 2021:ivab268. [PMID: 34606586 DOI: 10.1093/icvts/ivab268] [Reference Citation Analysis]
20 Miyawaki S, Choi S, Hoffman EA, Lin CL. A 4DCT imaging-based breathing lung model with relative hysteresis. J Comput Phys 2016;326:76-90. [PMID: 28260811 DOI: 10.1016/j.jcp.2016.08.039] [Cited by in Crossref: 21] [Cited by in F6Publishing: 16] [Article Influence: 3.5] [Reference Citation Analysis]
21 Miyawaki S, Hoffman EA, Lin CL. Effect of static vs. dynamic imaging on particle transport in CT-based numerical models of human central airways. J Aerosol Sci 2016;100:129-39. [PMID: 28090122 DOI: 10.1016/j.jaerosci.2016.07.006] [Cited by in Crossref: 24] [Cited by in F6Publishing: 16] [Article Influence: 4.0] [Reference Citation Analysis]
22 Verbanck SAB, Polfliet M, Schuermans D, Ilsen B, de Mey J, Vanderhelst E, Vandemeulebroucke J. Ventilation heterogeneity in smokers: role of unequal lung expansion and peripheral lung structure. J Appl Physiol (1985) 2020;129:583-90. [PMID: 32614688 DOI: 10.1152/japplphysiol.00105.2020] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 3.5] [Reference Citation Analysis]
23 Choi S, Choi J, Lin CL. Contributions of Kinetic Energy and Viscous Dissipation to Airway Resistance in Pulmonary Inspiratory and Expiratory Airflows in Successive Symmetric Airway Models With Various Bifurcation Angles. J Biomech Eng 2018;140. [PMID: 29049545 DOI: 10.1115/1.4038163] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 1.5] [Reference Citation Analysis]
24 Li F, Choi J, Zou C, Newell JD Jr, Comellas AP, Lee CH, Ko H, Barr RG, Bleecker ER, Cooper CB, Abtin F, Barjaktarevic I, Couper D, Han M, Hansel NN, Kanner RE, Paine R 3rd, Kazerooni EA, Martinez FJ, O'Neal W, Rennard SI, Smith BM, Woodruff PG, Hoffman EA, Lin CL. Latent traits of lung tissue patterns in former smokers derived by dual channel deep learning in computed tomography images. Sci Rep 2021;11:4916. [PMID: 33649381 DOI: 10.1038/s41598-021-84547-5] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
25 Jahani N, Choi S, Choi J, Haghighi B, Hoffman EA, Comellas AP, Kline JN, Lin CL. A four-dimensional computed tomography comparison of healthy and asthmatic human lungs. J Biomech 2017;56:102-10. [PMID: 28372795 DOI: 10.1016/j.jbiomech.2017.03.012] [Cited by in Crossref: 14] [Cited by in F6Publishing: 11] [Article Influence: 2.8] [Reference Citation Analysis]
26 Sul B, Oppito Z, Jayasekera S, Vanger B, Zeller A, Morris M, Ruppert K, Altes T, Rakesh V, Day S, Robinson R, Reifman J, Wallqvist A. Assessing Airflow Sensitivity to Healthy and Diseased Lung Conditions in a Computational Fluid Dynamics Model Validated In Vitro. J Biomech Eng 2018;140. [PMID: 29305603 DOI: 10.1115/1.4038896] [Cited by in Crossref: 13] [Cited by in F6Publishing: 11] [Article Influence: 4.3] [Reference Citation Analysis]