Abraham George Smith
Postdoc
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1
2100 København Ø
- 2024
- Udgivet
Deep-learning versus greyscale segmentation of voids in X-ray computed tomography images of filament-wound composites
Upadhyay, S., Smith, Abraham George, Vandepitte, D., Lomov, S. V., Swolfs, Y. & Mehdikhani, M., 2024, I: Composites Part A: Applied Science and Manufacturing. 177, 107937.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Toward improved image-based root phenotyping: Handling temporal and cross-site domain shifts in crop root segmentation models
Banet, T., Smith, Abraham George, McGrail, R., McNear, D. H. & Poffenbarger, H., 2024, I: Plant Phenome Journal. 7, 1, 11 s., e20094.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 2023
- Udgivet
Damage identification in 4D images of a nano-engineered composite via a deep-learning tool
Mehdikhani, M., Upadhyay, S., Soete, J., Swolfs, Y., Smith, Abraham George, Ali Aravand, M., Liotta, A. H., Wicks, S. S., Wardle, B. L., Lomov, S. V. & Gorbatikh, L., 2023, Proceedings of 23rd International Conference on Composite Materials, ICCM 2023. Falzon, B. & McCarthy, C. (red.). Queen's University Belfast, 547Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning
- Udgivet
Deep-Learning Image Segmentation with Corrective Annotation
Smith, Abraham George, 2023, Department of Computer Science, University of Copenhagen. 135 s.Publikation: Bog/antologi/afhandling/rapport › Ph.d.-afhandling › Forskning
- Udgivet
Interfractional dose accumulation for MR-guided liver SBRT: Variation among algorithms is highly patient- and fraction-dependent
Wahlstedt, I., Smith, Abraham George, Andersen, C. E., Behrens, C. P., Nørring Bekke, S., Boye, K., van Overeem Felter, M., Josipovic, Mirjana, Petersen, Jens, Risumlund, S. L., Tascón-Vidarte, J. D., van Timmeren, J. E. & Vogelius, Ivan R. , 2023, I: Radiotherapy and Oncology. 182, 9 s., 109448.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Prediction of Radiation-induced Lymphopenia following Exposure of the Thoracic Region and Associated Risk of Infections and Mortality
Terrones-Campos, C., Ledergerber, B., Forbes, N., Smith, Abraham George, Petersen, Jens, Helleberg, Marie, Lundgren, Jens, Specht, Lena & Vogelius, Ivan R. , 2023, I: Clinical Oncology. 35, 7, s. e434-e444 11 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Semantic segmentation of plant roots from RGB (mini-) rhizotron images—generalisation potential and false positives of established methods and advanced deep-learning models
Baykalov, P., Bussmann, B., Nair, R., Smith, Abraham George, Bodner, G., Hadar, O., Lazarovitch, N. & Rewald, B., 2023, I: Plant Methods. 19, 1, 15 s., 122.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 2022
- Udgivet
Assessing the fine root growth dynamics of Norway spruce manipulated by air humidity and soil nitrogen with deep learning segmentation of smartphone images
Sell, M., Smith, Abraham George, Burdun, I., Rohula-Okunev, G., Kupper, P. & Ostonen, I., 2022, I: Plant and Soil. 480, s. 135–150Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Comparing the deep root growth and water uptake of intermediate wheatgrass (Kernza®) to alfalfa
Clément, C., Sleiderink, J., Svane, Simon Fiil, Smith, Abraham George, Diamantopoulos, E., Dresbøll, Dorte Bodin & Thorup-Kristensen, Kristian, 2022, I: Plant and Soil. 472, s. 369–390Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Deep learning with multisite data reveals the lasting effects of soil type, tillage and vegetation history on biopore genesis
Han, Eusun, Kirkegaard, J. A., White, R., Smith, Abraham George, Thorup-Kristensen, Kristian, Kautz, T. & Athmann, M., 2022, I: Geoderma. 425, 12 s., 116072.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
ID: 202363390
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Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
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Segmentation of roots in soil with U-Net
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RootPainter: deep learning segmentation of biological images with corrective annotation
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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