David S. Liebeskind

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Fourier feature network for 3D vessel reconstruction from biplane angiograms.

Sean Wu, Naoki Kaneko, David S. Liebeskind, Fabien Scalzo

Mach. Vis. Appl., September, 2024

2023

3D Reconstruction from 2D Cerebral Angiograms as a Volumetric Denoising Problem.

Sean Wu, Naoki Kaneko, Steve Mendoza, David S. Liebeskind, Fabien Scalzo

Proceedings of the Advances in Visual Computing - 18th International Symposium, 2023

2021

Deep Learning for Hemorrhagic Lesion Detection and Segmentation on Brain CT Images.

Lu Li, Meng Wei, Bo Liu, Kunakorn Atchaneeyasakul, Fugen Zhou, Zehao Pan, Shimran A. Kumar, Jason Y. Zhang, Yuehua Pu, David S. Liebeskind, Fabien Scalzo

IEEE J. Biomed. Health Informatics, 2021

CT Perfusion Imaging of the Brain with Machine Learning.

Kellen Cheng, Kunakorn Atchaneeyasakul, Zeid Barakat, David S. Liebeskind, Fabien Scalzo

Proceedings of the Advances in Visual Computing - 16th International Symposium, 2021

2019

Angio-AI: Cerebral Perfusion Angiography with Machine Learning.

Ebrahim Feghhi, Yinsheng Zhou, John Tran, David S. Liebeskind, Fabien Scalzo

Proceedings of the Advances in Visual Computing, 2019

2018

Prediction of Hemorrhagic Transformation Severity in Acute Stroke From Source Perfusion MRI.

Yannan Yu, Danfeng Guo, Min Lou, David S. Liebeskind, Fabien Scalzo

IEEE Trans. Biomed. Eng., 2018

Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning.

Andreas Hess, Raphael Meier, Johannes Kaesmacher, Simon Jung, Fabien Scalzo, David S. Liebeskind, Roland Wiest, Richard McKinley

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

2016

Perfusion Angiography in Acute Ischemic Stroke.

Fabien Scalzo, David S. Liebeskind

Comput. Math. Methods Medicine, 2016

Extraction of Vascular Intensity Directional Derivative on Computed Tomography Angiography.

Elijah Agbayani, Baixue Jia, Graham Woolf, David S. Liebeskind, Fabien Scalzo

Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016

2015

Probabilistic Labeling of Cerebral Vasculature on MR Angiography.

Benjamin Quachtran, Sunil Sheth, Jeffrey L. Saver, David S. Liebeskind, Fabien Scalzo

Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

Detection of hyperperfusion on arterial spin labeling using deep learning.

Nicholas Vincent, Noah Stier, Songlin Yu, David S. Liebeskind, Danny J. J. Wang, Fabien Scalzo

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Deep learning of tissue fate features in acute ischemic stroke.

Noah Stier, Nicholas Vincent, David S. Liebeskind, Fabien Scalzo

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014

Predicting Discharge Mortality after Acute Ischemic Stroke Using Balanced Data.

King Chung Ho, William Speier, Suzie El-Saden, David S. Liebeskind, Jeffrey L. Saver, Alex A. T. Bui, Corey W. Arnold

Proceedings of the AMIA 2014, 2014

2013

Reducing False Intracranial Pressure Alarms Using Morphological Waveform Features.

Fabien Scalzo, David S. Liebeskind, Xiao Hu

IEEE Trans. Biomed. Eng., 2013

Unifying Acute Stroke Treatment Guidelines for a Bayesian Belief Network.

Alexa Love, Corey W. Arnold, Suzie El-Saden, David S. Liebeskind, Lewellyn P. Andrada, Jeffrey L. Saver, Alex A. T. Bui

Proceedings of the MEDINFO 2013, 2013

2010

Computational Hemodynamics in Intracranial Vessels Reconstructed from Biplane Angiograms.

Fabien Scalzo, Qing Hao, Alan M. Walczak, Xiao Hu, Yiemeng Hoi, Kenneth R. Hoffmann, David S. Liebeskind

Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010

Tissue Fate Prediction in Acute Ischemic Stroke Using Cuboid Models.

Fabien Scalzo, Qing Hao, Jeffrey R. Alger, Xiao Hu, David S. Liebeskind

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.

Miroslaw Swiercz, Jan Kochanowicz, John Weigele, Robert Hurst, David S. Liebeskind, Zenon Mariak, Elias R. Melhem, Jaroslaw Krejza

Neuroinformatics, 2008