David S. Liebeskind

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 10

Top Topics

Ischemic Stroke

Computed Tomography Angiography

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Sean Wu, Naoki Kaneko, David S. Liebeskind, Fabien Scalzo
Fourier feature network for 3D vessel reconstruction from biplane angiograms. Mach. Vis. Appl. 35 (5) (2024)
Sean Wu, Naoki Kaneko, Steve Mendoza, David S. Liebeskind, Fabien Scalzo
3D Reconstruction from 2D Cerebral Angiograms as a Volumetric Denoising Problem. ISVC (1) (2023)
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
Deep Learning for Hemorrhagic Lesion Detection and Segmentation on Brain CT Images. IEEE J. Biomed. Health Informatics 25 (5) (2021)
Kellen Cheng, Kunakorn Atchaneeyasakul, Zeid Barakat, David S. Liebeskind, Fabien Scalzo
CT Perfusion Imaging of the Brain with Machine Learning. ISVC (2) (2021)
Ebrahim Feghhi, Yinsheng Zhou, John Tran, David S. Liebeskind, Fabien Scalzo
Angio-AI: Cerebral Perfusion Angiography with Machine Learning. ISVC (1) (2019)
Andreas Hess, Raphael Meier, Johannes Kaesmacher, Simon Jung, Fabien Scalzo, David S. Liebeskind, Roland Wiest, Richard McKinley
Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning. CoRR (2018)
Yannan Yu, Danfeng Guo, Min Lou, David S. Liebeskind, Fabien Scalzo
Prediction of Hemorrhagic Transformation Severity in Acute Stroke From Source Perfusion MRI. IEEE Trans. Biomed. Eng. 65 (9) (2018)
Andreas Hess, Raphael Meier, Johannes Kaesmacher, Simon Jung, Fabien Scalzo, David S. Liebeskind, Roland Wiest, Richard McKinley
Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning. BrainLes@MICCAI (1) (2018)
Elijah Agbayani, Baixue Jia, Graham Woolf, David S. Liebeskind, Fabien Scalzo
Extraction of Vascular Intensity Directional Derivative on Computed Tomography Angiography. ISVC (1) (2016)
Fabien Scalzo, David S. Liebeskind
Perfusion Angiography in Acute Ischemic Stroke. Comput. Math. Methods Medicine 2016 (2016)
Noah Stier, Nicholas Vincent, David S. Liebeskind, Fabien Scalzo
Deep learning of tissue fate features in acute ischemic stroke. BIBM (2015)
Benjamin Quachtran, Sunil Sheth, Jeffrey L. Saver, David S. Liebeskind, Fabien Scalzo
Probabilistic Labeling of Cerebral Vasculature on MR Angiography. ISVC (1) (2015)
Nicholas Vincent, Noah Stier, Songlin Yu, David S. Liebeskind, Danny J. J. Wang, Fabien Scalzo
Detection of hyperperfusion on arterial spin labeling using deep learning. BIBM (2015)
King Chung Ho, William Speier, Suzie El-Saden, David S. Liebeskind, Jeffrey L. Saver, Alex A. T. Bui, Corey W. Arnold
Predicting Discharge Mortality after Acute Ischemic Stroke Using Balanced Data. AMIA (2014)
Alexa Love, Corey W. Arnold, Suzie El-Saden, David S. Liebeskind, Lewellyn P. Andrada, Jeffrey L. Saver, Alex A. T. Bui
Unifying Acute Stroke Treatment Guidelines for a Bayesian Belief Network. MedInfo (2013)
Fabien Scalzo, David S. Liebeskind, Xiao Hu
Reducing False Intracranial Pressure Alarms Using Morphological Waveform Features. IEEE Trans. Biomed. Eng. 60 (1) (2013)
Fabien Scalzo, Qing Hao, Jeffrey R. Alger, Xiao Hu, David S. Liebeskind
Tissue Fate Prediction in Acute Ischemic Stroke Using Cuboid Models. ISVC (2) (2010)
Fabien Scalzo, Qing Hao, Alan M. Walczak, Xiao Hu, Yiemeng Hoi, Kenneth R. Hoffmann, David S. Liebeskind
Computational Hemodynamics in Intracranial Vessels Reconstructed from Biplane Angiograms. ISVC (3) (2010)
Miroslaw Swiercz, Jan Kochanowicz, John Weigele, Robert Hurst, David S. Liebeskind, Zenon Mariak, Elias R. Melhem, Jaroslaw Krejza
Learning Vector Quantization Neural Networks Improve Accuracy of Transcranial Color-coded Duplex Sonography in Detection of Middle Cerebral Artery Spasm - Preliminary Report. Neuroinformatics 6 (4) (2008)