Diederik Gommers

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A pragmatic approach to estimating average treatment effects from EHR data: the effect of prone positioning on mechanically ventilated COVID-19 patients pdf

Giovanni Cinà, Paul de Jong, Remko de Jong, 2021, ArXiv.

Chest electrical impedance tomography examination, data analysis, terminology, clinical use and recommendations: consensus statement of the TRanslational EIT developmeNt stuDy group

Steffen Leonhardt, Andy Adler, Hervé Gagnon, 2016, Thorax.

Ultrasonographic measured optic nerve sheath diameter as an accurate and quick monitor for changes in intracranial pressure.

Diederik Gommers, D. Gommers, R. Stolker, 2015, Journal of neurosurgery.

Lung clearance of intratracheally instilled 99mTc‐tobramycin using pulmonary surfactant as vehicle

Burkhard Lachmann, Per Wollmer, Diederik Gommers, 1999, British journal of pharmacology.

End-expiratory lung volume during mechanical ventilation: a comparison with reference values and the effect of positive end-expiratory pressure in intensive care unit patients with different lung conditions

Diederik Gommers, Jasper van Bommel, Jan Bakker, 2008, Critical care.

ESICM LIVES 2016: part three : Milan, Italy. 1-5 October 2016.

Gilles Clermont, María Bodí, Artur Dubrawski, 2016 .

Lung monitoring at the bedside in mechanically ventilated patients

Diederik Gommers, Paul Blankman, 2012, Current opinion in critical care.

Experimental case report: development of a pneumothorax monitored by electrical impedance tomography

Steffen Leonhardt, Henning Luepschen, Diederik Gommers, 2009, Clinical physiology and functional imaging.

Ventilation distribution measured with EIT at varying levels of pressure support and Neurally Adjusted Ventilatory Assist in patients with ALI

Martijn S. van Mourik, Diederik Gommers, D. Gommers, 2013, Intensive Care Medicine.

Diagnosis, Prevention, and Treatment of Thromboembolic Complications in COVID-19: Report of the National Institute for Public Health of the Netherlands

Matthijs Oudkerk, Theresa C McLoud, Diederik Gommers, 2020, Radiology.

Optimizing intensive care capacity using individual length-of-stay prediction models

Ewout W Steyerberg, Gerhard Wullink, Marinus J Eijkemans, 2007, Critical care.

Clinical review: Respiratory monitoring in the ICU - a consensus of 16

Ola Stenqvist, Paolo Pelosi, Luciano Gattinoni, 2012, Critical Care.

Detection of ‘best’ positive end-expiratory pressure derived from electrical impedance tomography parameters during a decremental positive end-expiratory pressure trial

Diederik Gommers, D. Gommers, Paul Blankman, 2014, Critical Care.