Tolga Tasdizen, Ph.D.
Affiliations: | 2001 | Brown University, Providence, RI |
Area:
Computer vision, pattern recognition, communication and information sciences.Google:
"Tolga Tasdizen"Parents
Sign in to add mentor| David B Cooper | grad student | 2001 | Brown | |
| (Robust and repeatable fitting of implicit polynomial curves to point data sets and to intensity images.) | ||||
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Publications
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| Javanmardi M, Huang D, Dwivedi P, et al. (2020) Analyzing Associations Between Chronic Disease Prevalence and Neighborhood Quality Through Google Street View Images. Ieee Access : Practical Innovations, Open Solutions. 8: 6407-6416 |
| Nguyen QC, Huang Y, Kumar A, et al. (2020) Using 164 Million Google Street View Images to Derive Built Environment Predictors of COVID-19 Cases. International Journal of Environmental Research and Public Health. 17 |
| Yuan W, Wei J, Wang J, et al. (2020) Unified generative adversarial networks for multimodal segmentation from unpaired 3D medical images. Medical Image Analysis. 64: 101731 |
| Keralis JM, Javanmardi M, Khanna S, et al. (2020) Health and the built environment in United States cities: measuring associations using Google Street View-derived indicators of the built environment. Bmc Public Health. 20: 215 |
| Hosseini MM, Umunnakwe A, Parvania M, et al. (2020) Intelligent Damage Classification and Estimation in Power Distribution Poles Using Unmanned Aerial Vehicles and Convolutional Neural Networks Ieee Transactions On Smart Grid. 11: 3325-3333 |
| Javanmardi M, Huang D, Dwivedi P, et al. (2020) Analyzing Associations Between Chronic Disease Prevalence and Neighborhood Quality Through Google Street View Images Ieee Access. 8: 6407-6416 |
| Nizinski CA, Hanson AB, Fullmer BC, et al. (2020) Effects of process history on the surface morphology of uranium ore concentrates extracted from ore Minerals Engineering. 156: 106457 |
| Ly C, Vachet C, Schwerdt I, et al. (2020) Determining uranium ore concentrates and their calcination products via image classification of multiple magnifications Journal of Nuclear Materials. 533: 152082 |
| Aguiar JA, Gong ML, Tasdizen T. (2020) Crystallographic prediction from diffraction and chemistry data for higher throughput classification using machine learning Computational Materials Science. 173: 109409 |
| Aguiar JA, Gong ML, Unocic RR, et al. (2019) Decoding crystallography from high-resolution electron imaging and diffraction datasets with deep learning. Science Advances. 5: eaaw1949 |