sels@mednet.ucla.edu
(310) 794-3540
Office Info

924 Westwood Blvd, Suite 420

Suzie El-Saden, MD

Professor, Departments of Radiological Sciences & Neurology
Chair, Department of Radiology, Greater Los Angeles VA

Publications

2017

Rios Piedra EAR, Taira RK, El-Saden S, Ellingson BM, Bui AAT, Hsu W. Assessing Variability in Brain Tumor Segmentation to Improve Volumetric Accuracy and Characterization of Change. IEEE EMBS Int Conf Biomed Health Inform. 2016 Feb;2016:380-383. DOI: 10.1109/BHI.2016.7455914. Epub 2016 Apr 21. PMID: 28670648; PMCID: PMC5489257.
Rios Piedra EAR, Ellingson B, El-Saden S, Taira RK, Bui AAT, Hsu W. Measuring Tumor Boundary Variability to Improve Automated Segmentation of Brain Tumors Using Multimodal MRI. Poster presented at International Society for Magnetic Resonance in Medicine (ISMRM). 2017.
Rios Piedra EAR, Orosz I, Zide M, El-Saden S, Taira RK, Bui AAT, Hsu W. A Usability Study to Evaluate the Impact of a Novel Automated Brain Tumor Assessment Application. Poster presented at American Medical Informatics Association. 2017.
Rios Piedra EAR, Ellingson B, Cloughesy T, Taira RK, El-Saden S, Bui AAT, Hsu W. Hybrid Hierarchical Model for Lung Cancer Prediction. International Symposium on Biomedical Imaging (ISBI). 2017.
Ho K, Speier W, El-Saden S, Arnold C. Classifying Acute Ischemic Stroke Onset Time using Deep Imaging Features. AMIA Annu Symp Proc. 2017.
AR E, Cloughesy T, Ellingson B, El-Saden S, Bui AAT, Hsu W. Evaluating the applicability of tumor probability maps as a resource for improved brain tumor segmentation. Proc Ann Society Neuro-Oncology Scientific Meeting, 2017. San Francisco,California, USA; 2017.

2016

Rios Piedra EAR, Taira RK, El-Saden S, Ellingson BM, Bui AAT, Hsu W. GlioView: An application that visualizes variability in brain tumor segmentation to inform the clinical assessment of change. 2016 Annual Meeting of the Radiological Society of North America. Chicago, IL; 2016.
Ho KC, Scalzo F, Sarma KV, El-Saden S, Bui AAT, Arnold CW. A Novel Bi-Input Convolutional Neural Network for Deconvolution-Free Estimation of Stroke MR Perfusion Parameters. 2016 Annual Meeting of the Radiological Society of North America. Chicago, IL; 2016.
Ho KC, Scalzo F, Sarma KV, El-Saden S, Arnold CW. A Temporal Deep Learning Approach for MR Perfusion Parameter Estimation in Stroke. 23rd International Conference on Pattern Recognition. Cancun; 2016.
Rios Piedra EAR, Taira RK, El-Saden S, Ellingson BM, Bui AAT, Hsu W. Assessing Variability in Brain Tumor Segmentation to Improve Volumetric Accuracy and Characterization of Change. IEEE EMBS Int Conf Biomed Health Inform. 2016 Feb;2016:380-383. DOI: 10.1109/BHI.2016.7455914. Epub 2016 Apr 21. PMID: 28670648; PMCID: PMC5489257.

Research Projects