Geo-SegNet: A contrastive learning enhanced U-net for geomaterial segmentation
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2025-03
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Tian, Qinyi, Sara Goodhue, Hou Xiong and Laura E Dalton (2025). Geo-SegNet: A contrastive learning enhanced U-net for geomaterial segmentation. Tomography of Materials and Structures, 7. pp. 100049–100049. 10.1016/j.tmater.2025.100049 Retrieved from https://hdl.handle.net/10161/32118.
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Laura Elizabeth Dalton
Professor Dalton joined Duke University in August 2022 after obtaining her PhD from North Carolina State University, MS and BS from West Virginia University. Dr. Dalton is an experimentalist and her research interests include studying and understanding reactive, multiphase transport in porous media. She is particularly interested in understanding and manipulating chemical and physical processes that occur during reactive, multiphase transport in both engineered (cementitious) and natural (geological) porous materials. To this end, she uses quantitative imaging approaches such as X-ray computed tomography (CT), neutron tomography, and electrical imaging modalities including electrical capacitance tomography (ECT). She is interested in using hybrid and simultaneous imaging modalities because complementary and temporal information can be obtained using these approaches to better understand complex processes such as developing innovative methods to sequester CO2.
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