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David M Schmidt

Showing results (1-10 of 12) with videos related to

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Frontiers in Artificial Intelligence|January 22, 2025
Grammar-constrained decoding for structured information extraction with fine-tuned generative models applied to clinical trial abstractsDavid M Schmidt, Philipp Cimiano
Journal of Biomedical Semantics|April 23, 2024
Comparing generative and extractive approaches to information extraction from abstracts describing randomized clinical trialsChristian Witte, David M Schmidt, Philipp Cimiano
BMC Research Notes|February 2, 2025
Open challenges for the automatic synthesis of clinical trialsOlivia Sanchez-Graillet, David M Schmidt, Christian Kullik, et al.
Physics in Medicine and Biology|October 19, 2006
Spatiotemporal noise covariance estimation from limited empirical magnetoencephalographic dataSung C Jun, Sergey M Plis, Doug M Ranken, et al.
Physics in Medicine and Biology|May 6, 2006
Improving source detection and separation in a spatiotemporal Bayesian inference dipole analysisSung C Jun, John S George, Sergey M Plis, et al.
American Journal of Veterinary Research|March 29, 2012
Comparison of glomerular filtration rate determined by use of single-slice dynamic computed tomography and scintigraphy in catsDavid M Schmidt, Peter V Scrivani, Nathan L Dykes, et al.
Physics in Medicine and Biology|September 1, 2007
Probabilistic forward model for electroencephalography source analysisSergey M Plis, John S George, Sung C Jun, et al.
Neuroimage|March 4, 2008
Bayesian brain source imaging based on combined MEG/EEG and fMRI using MCMCSung C Jun, John S George, Woohan Kim, et al.
Neuroimage|July 19, 2005
Spatiotemporal Bayesian inference dipole analysis for MEG neuroimaging dataSung C Jun, John S George, Juliana Paré-Blagoev, et al.
Journal of Critical Care|January 25, 2014
Long-term persistence of quality improvements for an intensive care unit communication initiative using the VALUE strategyNicholas G Wysham, Richard A Mularski, David M Schmidt, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Frontiers in Artificial Intelligence|January 22, 2025
Grammar-constrained decoding for structured information extraction with fine-tuned generative models applied to clinical trial abstractsDavid M Schmidt, Philipp Cimiano
Journal of Biomedical Semantics|April 23, 2024
Comparing generative and extractive approaches to information extraction from abstracts describing randomized clinical trialsChristian Witte, David M Schmidt, Philipp Cimiano
BMC Research Notes|February 2, 2025
Open challenges for the automatic synthesis of clinical trialsOlivia Sanchez-Graillet, David M Schmidt, Christian Kullik, et al.
Physics in Medicine and Biology|October 19, 2006
Spatiotemporal noise covariance estimation from limited empirical magnetoencephalographic dataSung C Jun, Sergey M Plis, Doug M Ranken, et al.
Physics in Medicine and Biology|May 6, 2006
Improving source detection and separation in a spatiotemporal Bayesian inference dipole analysisSung C Jun, John S George, Sergey M Plis, et al.
American Journal of Veterinary Research|March 29, 2012
Comparison of glomerular filtration rate determined by use of single-slice dynamic computed tomography and scintigraphy in catsDavid M Schmidt, Peter V Scrivani, Nathan L Dykes, et al.
Physics in Medicine and Biology|September 1, 2007
Probabilistic forward model for electroencephalography source analysisSergey M Plis, John S George, Sung C Jun, et al.
Neuroimage|March 4, 2008
Bayesian brain source imaging based on combined MEG/EEG and fMRI using MCMCSung C Jun, John S George, Woohan Kim, et al.
Neuroimage|July 19, 2005
Spatiotemporal Bayesian inference dipole analysis for MEG neuroimaging dataSung C Jun, John S George, Juliana Paré-Blagoev, et al.
Journal of Critical Care|January 25, 2014
Long-term persistence of quality improvements for an intensive care unit communication initiative using the VALUE strategyNicholas G Wysham, Richard A Mularski, David M Schmidt, et al.
Pageof 2