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2020 – today
- 2024
[j6]Sean Wu, Naoki Kaneko, David S. Liebeskind, Fabien Scalzo:
Fourier feature network for 3D vessel reconstruction from biplane angiograms. Mach. Vis. Appl. 35(5): 106 (2024)- 2023
- [c12]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: 382-393 - 2021
- [j5]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): 1646-1659 (2021) - [c11]Kellen Cheng, Kunakorn Atchaneeyasakul, Zeid Barakat, David S. Liebeskind, Fabien Scalzo:
CT Perfusion Imaging of the Brain with Machine Learning. ISVC (2) 2021: 41-52
2010 – 2019
- 2019
- [c10]Ebrahim Feghhi, Yinsheng Zhou, John Tran, David S. Liebeskind, Fabien Scalzo:
Angio-AI: Cerebral Perfusion Angiography with Machine Learning. ISVC (1) 2019: 357-367 - 2018
- [j4]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): 2058-2065 (2018) - [c9]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: 447-455 - [i1]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 abs/1806.03848 (2018) - 2016
- [j3]Fabien Scalzo, David S. Liebeskind:
Perfusion Angiography in Acute Ischemic Stroke. Comput. Math. Methods Medicine 2016: 2478324:1-2478324:14 (2016) - [c8]Elijah Agbayani, Baixue Jia, Graham Woolf, David S. Liebeskind, Fabien Scalzo:
Extraction of Vascular Intensity Directional Derivative on Computed Tomography Angiography. ISVC (1) 2016: 497-506 - 2015
- [c7]Noah Stier, Nicholas Vincent, David S. Liebeskind, Fabien Scalzo:
Deep learning of tissue fate features in acute ischemic stroke. BIBM 2015: 1316-1321 - [c6]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: 1322-1327 - [c5]Benjamin Quachtran, Sunil Sheth, Jeffrey L. Saver, David S. Liebeskind, Fabien Scalzo:
Probabilistic Labeling of Cerebral Vasculature on MR Angiography. ISVC (1) 2015: 538-548 - 2014
- [c4]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 - 2013
- [j2]Fabien Scalzo, David S. Liebeskind, Xiao Hu:
Reducing False Intracranial Pressure Alarms Using Morphological Waveform Features. IEEE Trans. Biomed. Eng. 60(1): 235-239 (2013) - [c3]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: 1012 - 2010
- [c2]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: 292-301 - [c1]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: 359-367
2000 – 2009
- 2008
- [j1]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): 279-290 (2008)
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