Edgar A. Rios Piedra

PhD Candidate
  • UCLA Bioengineering

Office: 924 Westwood Blvd, Suite 420, Room Q

E-Mail: edgar.riosp@engineering.ucla.edu

Biography

Edgar joined UCLA in September 2012 in the Biomedical Engineering PhD program. He is currently working on image analysis models to improve the understanding and quantitative evaluation of patients with brain tumors (GBM) by using multimodal MRI, statistical methods and clinical records. He enjoys playing video games and exploring the city with friends. He can be reached at edgar.riosp@engineering.ucla.edu.

Publications

2018
  1. Shiwen S, Smedley NF, Piedra EAR, Hsu W. Hybrid Hierarchical Model for Lung Cancer Prediction. International Symposium on Biomedical Imaging (ISBI). 2018.
2017
  1. 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.
  2. Piedra EAR, Ellingson B, El-Saden S, Taira RK, Bui AAT, Hsu W. Brain Tumor Segmentation by Variability Characterization of Tumor Boundaries. International Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. 2017;:206–216.
  3. 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.
  4. 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.
2016
  1. 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.
  2. 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. Biomedical and Health Informatics (BHI), 2016 IEEE-EMBS. Chicago, IL; 2016. DOI: http://dx.doi.org/10.1109/BHI.2016.7455914.
  3. Piedra EAR, Taira RK, El-Saden S, Ellingson B, Bui AAT, Hsu W. GlioView: An Application to Visualize Variability in Brain Tumor Segmentation to Inform the Clinical Assessment of Change. Applied science presentation at Radiological Society of North America (RSNA). 2016.
  4. Piedra EAR, Ho KC, Taira RK, El-Saden S, Ellingson B, Bui AAT, Hsu W. Glioblastoma Multiforme Segmentation by Variability Characterization of Tumor Boundaries. Medical Image Computing and Computer Assisted Intervention Society (MICCAI), MICCAI-BRATS Conference Workshop. 2016.
  5. Jann K, Smith R, Piedra EAR, Dapretto M, Wang D. Noise reduction in Arterial Spin Labeling based Functional Connectivity Using Nuisance Variables. Frontiers in Neuroscience (Advanced Neuroimaging Methods for Studying Autism Disorder). 2016;:371.
  6. Piedra EAR, Taira RK, El-Saden S, Ellingson B, Bui AAT, Hsu W. Assessing Variability in Brain Tumor Segmentation to Improve Volumetric Accuracy and Characterization of Change. 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE-EMBS). 2016. p. 380–383.