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)

Tissue Fate Prediction in Acute Ischemic Stroke Using Cuboid Models. - Fabien Scalzo; Qing Hao; Jeffrey R. Alger; Xiao Hu 002; David S. Liebeskind (ISVC (2), 2010)

Computational Hemodynamics in Intracranial Vessels Reconstructed from Biplane Angiograms. - Fabien Scalzo; Qing Hao; Alan M. Walczak; Xiao Hu 002; Yiemeng Hoi; Kenneth R. Hoffmann; David S. Liebeskind (ISVC (3), 2010)

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 (MedInfo, 2013)

Reducing False Intracranial Pressure Alarms Using Morphological Waveform Features. - Fabien Scalzo; David S. Liebeskind; Xiao Hu 002 (IEEE Trans. Biomed. Eng., 2013)

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 (AMIA, 2014)

Deep learning of tissue fate features in acute ischemic stroke. - Noah Stier; Nicholas Vincent; David S. Liebeskind; Fabien Scalzo (BIBM, 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 (BIBM, 2015)

Probabilistic Labeling of Cerebral Vasculature on MR Angiography. - Benjamin Quachtran; Sunil Sheth; Jeffrey L. Saver; David S. Liebeskind; Fabien Scalzo (ISVC (1), 2015)

Extraction of Vascular Intensity Directional Derivative on Computed Tomography Angiography. - Elijah Agbayani; Baixue Jia; Graham Woolf; David S. Liebeskind; Fabien Scalzo (ISVC (1), 2016)

Perfusion Angiography in Acute Ischemic Stroke. - Fabien Scalzo; David S. Liebeskind (Comput. Math. Methods Medicine, 2016)

Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning. - Andreas Hess 005; Raphael Meier; Johannes Kaesmacher; Simon Jung; Fabien Scalzo; David S. Liebeskind; Roland Wiest; Richard McKinley (BrainLes@MICCAI (1), 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)

Angio-AI: Cerebral Perfusion Angiography with Machine Learning. - Ebrahim Feghhi; Yinsheng Zhou; John Tran; David S. Liebeskind; Fabien Scalzo (ISVC (1), 2019)

CT Perfusion Imaging of the Brain with Machine Learning. - Kellen Cheng; Kunakorn Atchaneeyasakul; Zeid Barakat; David S. Liebeskind; Fabien Scalzo (ISVC (2), 2021)

Deep Learning for Hemorrhagic Lesion Detection and Segmentation on Brain CT Images. - Lu Li; Meng Wei; Bo Liu 027; Kunakorn Atchaneeyasakul; Fugen Zhou; Zehao Pan; Shimran A. Kumar; Jason Y. Zhang 003; Yuehua Pu; David S. Liebeskind; Fabien Scalzo (IEEE J. Biomed. Health Informatics, 2021)

3D Reconstruction from 2D Cerebral Angiograms as a Volumetric Denoising Problem. - Sean Wu; Naoki Kaneko; Steve Mendoza; David S. Liebeskind; Fabien Scalzo (ISVC (1), 2023)

Fourier feature network for 3D vessel reconstruction from biplane angiograms. - Sean Wu; Naoki Kaneko; David S. Liebeskind; Fabien Scalzo (Mach. Vis. Appl., 2024)