Discover Our Research Contributions
On this page, you'll find a selection of research papers that have utilized our equipment over the years
Ceballos, I. F., Steinberg, E., Ems, J., Nuñez Silveira, J. M., Madorno, M., Bisso, I. C., ... & Cornejo, R. (2024). Efectos fisiológicos del alto flujo de oxígeno medido por tomografía de impedancia eléctrica en trasplante unipulmonar. Medicina (Buenos Aires), 84(1), 148-152.
Tong, Y., Udupa, J. K., McDonough, J., Wu, C., Xie, L., Hao, Y., ... & Cahill, P. (2024). Virtual Growing Child (VGC): A general normative comparative system via quantitative dynamic MRI for quantifying pediatric regional respiratory anomalies with application in thoracic insufficiency syndrome (TIS). bioRxiv, 2024-04.
Tong, Y., Udupa, J. K., McDonough, J. M., Wu, C., Akhtar, Y., Xie, L., ... & Cahill, P. J. (2024, April). A normative database of free-breathing thoracic 4D dynamic MRI images and associated regional respiratory parameters of healthy children. In Medical Imaging 2024: Imaging Informatics for Healthcare, Research, and Applications (Vol. 12931, pp. 235-240). SPIE.
Dianti, J., Morris, I. S., Bassi, T. G., Fan, E., Slutsky, A. S., Brochard, L. J., ... & Goligher, E. C. (2024). Sedation-Ventilation Interaction in Acute Hypoxemic Respiratory Failure: Secondary Analysis of the LANDMARK Trial. CHEST Critical Care, 100067.
Tong, Y., Udupa, J. K., McDonough, J. M., Wu, C., Xie, L., Alnoury, M., ... & Cahill, P. J. (2024, March). Analysis of the dynamic architecture of the thorax and abdomen in pediatric patients with thoracic insufficiency syndrome (TIS) via dynamic MRI. In Medical Imaging 2024: Image-Guided Procedures, Robotic Interventions, and Modeling (Vol. 12928, pp. 291-295). SPIE.
New ParagrVieira, F. N., Masy, V., LaRue, R. J., Laengert, S. E., De Lannoy, C. F., Rodrigues, A., ... & Brochard, L. J. (2024). An individual barrier enclosure actively removing aerosols for airborne isolation: a vacuum tent. Respiratory Care, 69(4), 395-406.aph
Riva, D. A., Evangelista, C. A., Puleston, P. F., Corsiglia, L., & Dargains, N. (2024). Nonlinear identification algorithm for online and offline study of pulmonary mechanical ventilation. arXiv preprint arXiv:2402.18709.
Bello, G., Giammatteo, V., Bisanti, A., Delle Cese, L., Rosà, T., Menga, L. S., ... & Grieco, D. L. (2024). High vs. Low PEEP in ARDS Patients Exhibiting Intense Inspiratory Effort During Assisted Ventilation: A Randomized Crossover Trial. Chest.