David S. Liebeskind

20 papers Misc 1Journal 8Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
COPE: Chain-Of-Thought Prediction Engine for Open-Source Large Language Model Based Stroke Outcome Prediction from Clinical Notes.
CoRR
Yongkai Liu, Helena Feng, Bin Jiang, Yixin Wang, Max Wintermark, David S. Liebeskind, Michael E. Moseley, Maarten G. Lansberg, Gregory W. Albers, Jeremy J. Heit, Greg Zaharchuk
2024 J jnl
Fourier feature network for 3D vessel reconstruction from biplane angiograms.
Mach. Vis. Appl.
Sean Wu, Naoki Kaneko, David S. Liebeskind, Fabien Scalzo
2023 — conf
3D Reconstruction from 2D Cerebral Angiograms as a Volumetric Denoising Problem.
ISVC (1)
Sean Wu, Naoki Kaneko, Steve Mendoza, David S. Liebeskind, Fabien Scalzo
2021 — conf
CT Perfusion Imaging of the Brain with Machine Learning.
ISVC (2)
Kellen Cheng, Kunakorn Atchaneeyasakul, Zeid Barakat, David S. Liebeskind, Fabien Scalzo
2021 J jnl
Deep Learning for Hemorrhagic Lesion Detection and Segmentation on Brain CT Images.
IEEE J. Biomed. Health Informatics
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
2019 — conf
Angio-AI: Cerebral Perfusion Angiography with Machine Learning.
ISVC (1)
Ebrahim Feghhi, Yinsheng Zhou, John Tran, David S. Liebeskind, Fabien Scalzo
2018 J jnl
Prediction of Hemorrhagic Transformation Severity in Acute Stroke From Source Perfusion MRI.
IEEE Trans. Biomed. Eng.
Yannan Yu, Danfeng Guo, Min Lou, David S. Liebeskind, Fabien Scalzo
2018 — conf
Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning.
BrainLes@MICCAI (1)
Andreas Hess, Raphael Meier, Johannes Kaesmacher, Simon Jung, Fabien Scalzo, David S. Liebeskind, Roland Wiest, Richard McKinley
2018 J jnl
Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning.
CoRR
Andreas Hess, Raphael Meier, Johannes Kaesmacher, Simon Jung, Fabien Scalzo, David S. Liebeskind, Roland Wiest, Richard McKinley
2016 — conf
Extraction of Vascular Intensity Directional Derivative on Computed Tomography Angiography.
ISVC (1)
Elijah Agbayani, Baixue Jia, Graham Woolf, David S. Liebeskind, Fabien Scalzo
2016 J jnl
Perfusion Angiography in Acute Ischemic Stroke.
Comput. Math. Methods Medicine
Fabien Scalzo, David S. Liebeskind
2015 — conf
Deep learning of tissue fate features in acute ischemic stroke.
BIBM
Noah Stier, Nicholas Vincent, David S. Liebeskind, Fabien Scalzo
2015 — conf
Detection of hyperperfusion on arterial spin labeling using deep learning.
BIBM
Nicholas Vincent, Noah Stier, Songlin Yu, David S. Liebeskind, Danny J. J. Wang, Fabien Scalzo
2015 — conf
Probabilistic Labeling of Cerebral Vasculature on MR Angiography.
ISVC (1)
Benjamin Quachtran, Sunil Sheth, Jeffrey L. Saver, David S. Liebeskind, Fabien Scalzo
2014 Misc conf
Predicting Discharge Mortality after Acute Ischemic Stroke Using Balanced Data.
AMIA
King Chung Ho, William Speier, Suzie El-Saden, David S. Liebeskind, Jeffrey L. Saver, Alex A. T. Bui, Corey W. Arnold
2013 J jnl
Reducing False Intracranial Pressure Alarms Using Morphological Waveform Features.
IEEE Trans. Biomed. Eng.
Fabien Scalzo, David S. Liebeskind, Xiao Hu
2013 — conf
Unifying Acute Stroke Treatment Guidelines for a Bayesian Belief Network.
MedInfo
Alexa Love, Corey W. Arnold, Suzie El-Saden, David S. Liebeskind, Lewellyn P. Andrada, Jeffrey L. Saver, Alex A. T. Bui
2010 — conf
Computational Hemodynamics in Intracranial Vessels Reconstructed from Biplane Angiograms.
ISVC (3)
Fabien Scalzo, Qing Hao, Alan M. Walczak, Xiao Hu, Yiemeng Hoi, Kenneth R. Hoffmann, David S. Liebeskind
2010 — conf
Tissue Fate Prediction in Acute Ischemic Stroke Using Cuboid Models.
ISVC (2)
Fabien Scalzo, Qing Hao, Jeffrey R. Alger, Xiao Hu, David S. Liebeskind
2008 J jnl
Learning Vector Quantization Neural Networks Improve Accuracy of Transcranial Color-coded Duplex Sonography in Detection of Middle Cerebral Artery Spasm - Preliminary Report.
Neuroinformatics
Miroslaw Swiercz, Jan Kochanowicz, John Weigele, Robert Hurst, David S. Liebeskind, Zenon Mariak, Elias R. Melhem, Jaroslaw Krejza