David S. Liebeskind

According to our database1, David S. Liebeskind authored at least 18 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Fourier feature network for 3D vessel reconstruction from biplane angiograms.
Mach. Vis. Appl., September, 2024

2023
3D Reconstruction from 2D Cerebral Angiograms as a Volumetric Denoising Problem.
Proceedings of the Advances in Visual Computing - 18th International Symposium, 2023

2021
Deep Learning for Hemorrhagic Lesion Detection and Segmentation on Brain CT Images.
IEEE J. Biomed. Health Informatics, 2021

CT Perfusion Imaging of the Brain with Machine Learning.
Proceedings of the Advances in Visual Computing - 16th International Symposium, 2021

2019
Angio-AI: Cerebral Perfusion Angiography with Machine Learning.
Proceedings of the Advances in Visual Computing, 2019

2018
Prediction of Hemorrhagic Transformation Severity in Acute Stroke From Source Perfusion MRI.
IEEE Trans. Biomed. Eng., 2018

Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

2016
Perfusion Angiography in Acute Ischemic Stroke.
Comput. Math. Methods Medicine, 2016

Extraction of Vascular Intensity Directional Derivative on Computed Tomography Angiography.
Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016

2015
Probabilistic Labeling of Cerebral Vasculature on MR Angiography.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

Detection of hyperperfusion on arterial spin labeling using deep learning.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Deep learning of tissue fate features in acute ischemic stroke.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Predicting Discharge Mortality after Acute Ischemic Stroke Using Balanced Data.
Proceedings of the AMIA 2014, 2014

2013
Reducing False Intracranial Pressure Alarms Using Morphological Waveform Features.
IEEE Trans. Biomed. Eng., 2013

Unifying Acute Stroke Treatment Guidelines for a Bayesian Belief Network.
Proceedings of the MEDINFO 2013, 2013

2010
Computational Hemodynamics in Intracranial Vessels Reconstructed from Biplane Angiograms.
Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010

Tissue Fate Prediction in Acute Ischemic Stroke Using Cuboid Models.
Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010

2008
Learning Vector Quantization Neural Networks Improve Accuracy of Transcranial Color-coded Duplex Sonography in Detection of Middle Cerebral Artery Spasm - Preliminary Report.
Neuroinformatics, 2008


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