Daniel J. Licht
Orcid: 0000-0002-4080-843X
According to our database1,
Daniel J. Licht
authored at least 11 papers
between 2007 and 2018.
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Bibliography
2018
Prediction of Periventricular Leukomalacia in Neonates after Cardiac Surgery Using Machine Learning Algorithms.
J. Medical Syst., 2018
2017
Heterogeneous increases of regional cerebral blood flow during preterm brain development: Preliminary assessment with pseudo-continuous arterial spin labeled perfusion MRI.
NeuroImage, 2017
2014
Prediction of Periventricular Leukomalacia Occurrence in Neonates After Heart Surgery.
IEEE J. Biomed. Health Informatics, 2014
2013
Discovering hidden relationships in physiological signals for prediction of Periventricular Leukomalacia.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Application of decision tree in the prediction of periventricular leukomalacia (PVL) occurrence in neonates after heart surgery.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2010
Cerebral cortical folding analysis with multivariate modeling and testing: Studies on gender differences and neonatal development.
NeuroImage, 2010
2009
Prediction of periventricular leukomalacia. Part II: Selection of hemodynamic features using computational intelligence.
Artif. Intell. Medicine, 2009
Prediction of periventricular leukomalacia. Part I: Selection of hemodynamic features using logistic regression and decision tree algorithms.
Artif. Intell. Medicine, 2009
Gender Differences in Cerebral Cortical Folding: Multivariate Complexity-Shape Analysis with Insights into Handling Brain-Volume Differences.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Multivariate High-Dimensional Cortical Folding Analysis, Combining Complexity and Shape, in Neonates with Congenital Heart Disease.
Proceedings of the Information Processing in Medical Imaging, 2009
2007
Clinical Neonatal Brain MRI Segmentation Using Adaptive Nonparametric Data Models and Intensity-Based Markov Priors.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007