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David W. Kaczka, MD, PhD
David W. Kaczka, MD, PhD
Gilbert E. Kinyon Professor, The University of Iowa
Verified email at uiowa.edu - Homepage
Title
Cited by
Cited by
Year
Technical standards for respiratory oscillometry
GG King, J Bates, KI Berger, P Calverley, PL de Melo, RL Dellacà, R Farré, ...
European Respiratory Journal 55 (2), 2020
4012020
Airway constriction pattern is a central component of asthma severity: the role of deep inspirations
KR Lutchen, A Jensen, H Atileh, DW Kaczka, E Israel, B Suki, EP Ingenito
American journal of respiratory and critical care medicine 164 (2), 207-215, 2001
1992001
Airway and lung tissue mechanics in asthma: effects of albuterol
DW Kaczka, EP Ingenito, E Israel, KR Lutchen
American Journal of Respiratory and Critical Care Medicine 159 (1), 169-178, 1999
1761999
Partitioning airway and lung tissue resistances in humans: effects of bronchoconstriction
DW Kaczka, EP Ingenito, B Suki, KR Lutchen
Journal of Applied Physiology 82 (5), 1531-1541, 1997
1631997
Optimal ventilation waveforms for estimating low-frequency respiratory impedance
KR Lutchen, K Yang, DW Kaczka, B Suki
Journal of applied physiology 75 (1), 478-488, 1993
1521993
Oscillation mechanics of the respiratory system: applications to lung disease
DW Kaczka, RL Dellacá
Critical Reviews™ in Biomedical Engineering 39 (4), 2011
1442011
Relation between preoperative inspiratory lung resistance and the outcome of lung-volume–reduction surgery for emphysema
EP Ingenito, RB Evans, SH Loring, DW Kaczka, JD Rodenhouse, ...
New England Journal of Medicine 338 (17), 1181-1185, 1998
1411998
Tidal volume delivery during high-frequency oscillatory ventilation in adults with acute respiratory distress syndrome*
DN Hager, HE Fessler, DW Kaczka, CB Shanholtz, MK Fuld, BA Simon, ...
Critical Care Medicine 35 (6), 1522-1529, 2007
1312007
Assessment of time-domain analyses for estimation of low-frequency respiratory mechanical properties and impedance spectra
DW Kaczka, GM Barnas, B Suki, KR Lutchen
Annals of Biomedical Engineering 23 (2), 135-151, 1995
961995
The frequency response of cerebral autoregulation
CD Fraser III, KM Brady, CJ Rhee, RB Easley, K Kibler, P Smielewski, ...
Journal of Applied Physiology 115 (1), 52-56, 2013
952013
Technique to determine inspiratory impedance during mechanical ventilation: implications for flow limited patients
DW Kaczka, EP Ingenito, KR Lutchen
Annals of Biomedical Engineering 27 (3), 340-355, 1999
921999
Analysis of regional mechanics in canine lung injury using forced oscillations and 3D image registration
DW Kaczka, K Cao, GE Christensen, JHT Bates, BA Simon
Annals of Biomedical Engineering 39 (3), 1112-1124, 2011
882011
Clinical significance and applications of oscillometry
DA Kaminsky, SJ Simpson, KI Berger, P Calverley, PL De Melo, ...
European respiratory review 31 (163), 2022
792022
Multi-resolution convolutional neural networks for fully automated segmentation of acutely injured lungs in multiple species
SE Gerard, J Herrmann, DW Kaczka, G Musch, A Fernandez-Bustamante, ...
Medical image analysis 60, 101592, 2020
722020
Quantifying Mechanical Heterogeneity in Canine Acute Lung Injury: Impact of Mean Airway Pressure
DW Kaczka, DN Hager, ML Hawley, BA Simon
Anesthesiology: The Journal of the American Society of Anesthesiologists 103 …, 2005
692005
Relationship between dynamic respiratory mechanics and disease heterogeneity in sheep lavage injury
CLB Black, AM Hoffman, LW Tsai, EP Ingenito, B Suki, DW Kaczka, ...
Critical care medicine 35 (3), 870-878, 2007
572007
Reliability of estimating stochastic lung tissue heterogeneity from pulmonary impedance spectra: a forward-inverse modeling study
DW Kaczka, CB Massa, BA Simon
Annals of Biomedical Engineering 35 (10), 1722-1738, 2007
522007
Emergent behavior of regional heterogeneity in the lung and its effects on respiratory impedance
DW Kaczka, KR Lutchen, Z Hantos
Journal of Applied Physiology 110 (5), 1473-1481, 2011
512011
CT image segmentation for inflamed and fibrotic lungs using a multi-resolution convolutional neural network
SE Gerard, J Herrmann, Y Xin, KT Martin, E Rezoagli, D Ippolito, G Bellani, ...
Scientific reports 11 (1), 1455, 2021
502021
What can computed tomography and magnetic resonance imaging tell us about ventilation?
BA Simon, DW Kaczka, AA Bankier, G Parraga
Journal of Applied Physiology 113 (4), 647-657, 2012
502012
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