Belma Dogdas, Ph.D.
Affiliations: | Electrical Engineering: Doctor of Philosophy | University of Southern California, Los Angeles, CA, United States |
Area:
MEG, EEG, PET, Optical Imaging, image AnalysisGoogle:
"Belma Dogdas"Mean distance: 16.75 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentor| Richard M. Leahy | grad student | 2007 | USC | |
| (Image registration with applications to multimodal small animal imaging.) | ||||
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Publications
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| Zhou T, Icke I, Dogdas B, et al. (2017) Automatic segmentation of left ventricle in cardiac cine MRI images based on deep learning Proceedings of Spie. 10133 |
| Farrell CJ, Cicalese SM, Davis HB, et al. (2016) Cell confluency analysis on microcarriers by micro-flow imaging. Cytotechnology |
| Solomon HM, Makris SL, Alsaid H, et al. (2016) Micro-CT Imaging: Developing criteria for examining fetal skeletons in regulatory developmental toxicology studies - A Workshop Report. Regulatory Toxicology and Pharmacology : Rtp |
| Chen A, Bone A, Hines CDG, et al. (2016) Image-guided intracranial cannula placement for awake in vivo microdialysis in nonhuman primates Proceedings of Spie. 9786: 978620 |
| Ghafurian S, Chen A, Hines CDG, et al. (2016) Automatic pose correction for image-guided nonhuman primate brain surgery planning Proceedings of Spie. 9786 |
| Sevilla RS, Cruz F, Chiu CS, et al. (2015) Development and optimization of a high-throughput micro-computed tomography imaging method incorporating a novel analysis technique to evaluate bone mineral density of arthritic joints in a rodent model of collagen induced arthritis. Bone. 73: 32-41 |
| Chen A, Hines C, Dogdas B, et al. (2015) Targeting of deep-brain structures in nonhuman primates using MR and CT images Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9415 |
| Dogdas B, Chen A, Mehta S, et al. (2015) Characterization of bone abnormalities from micro-CT images for evaluating drug toxicity in developmental and reproductive toxicology (DART) studies Proceedings - International Symposium On Biomedical Imaging. 2015: 671-674 |
| Cruz F, Sevilla R, Zhu J, et al. (2014) Automated segmentation of knee and ankle regions of rats from CT images to quantify bone mineral density for monitoring treatments of rheumatoid arthritis Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9038 |
| Chen A, Dogdas B, Mehta S, et al. (2014) Automatic classification of squamosal abnormality in micro-CT images for the evaluation of rabbit fetal skull defects using active shape models Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9038 |