Abraham George Smith

Abraham George Smith

Postdoc


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  1. Published

    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, In: Radiotherapy and Oncology. 182, 9 p., 109448.

    Research output: Contribution to journal › Journal article › Research › peer-review

  2. Published

    Gating has a negligible impact on dose delivered in MRI-guided online adaptive radiotherapy of prostate cancer

    Wahlstedt, I., Andratschke, N., Behrens, C. P., Ehrbar, S., Gabryś, H. S., Schüler, H. G., Guckenberger, M., Smith, Abraham George, Tanadini-Lang, S., Tascón-Vidarte, J. D., Vogelius, Ivan R. & van Timmeren, J. E., 2022, In: Radiotherapy and Oncology. 170, p. 205-212

    Research output: Contribution to journal › Journal article › Research › peer-review

  3. Published

    Gating has small impact on dose to OARs and PTV coverage in MR-guided daily ART of prostate cancer

    Wahlstedt, I., Andratschke, N., Behrens, C. P., Ehrbar, S., Gabrys, H. S., Schueler, H. G., Guckenberger, M., Smith, Abraham George, Tanadini-Lang, S., Tascon-Vidarte, J. D., Vogelius, Ivan R. & van Timmeren, J. E., 2022, In: Radiotherapy and Oncology. 170, p. S15-S16

    Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

  4. Published

    Semifield root phenotyping: Root traits for deep nitrate uptake

    Wacker, Tomke Susanne, Popovic, Olga, Olsen, N. A. F., Markussen, Bo, Smith, Abraham George, Svane, Simon Fiil & Thorup-Kristensen, Kristian, 2022, In: Plant, Cell and Environment. 45, 3, p. 823-836

    Research output: Contribution to journal › Journal article › Research › peer-review

  5. Published

    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, In: Composites Part A: Applied Science and Manufacturing. 177, 107937.

    Research output: Contribution to journal › Journal article › Research › peer-review

  6. Published

    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, In: Clinical Oncology. 35, 7, p. e434-e444 11 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  7. Published

    Segmentation of roots in soil with U-Net

    Smith, Abraham George, Petersen, Jens, Selvan, Raghav & Rasmussen, Camilla Ruø, 2020, In: Plant Methods. 16, p. 1-15 13.

    Research output: Contribution to journal › Journal article › Research › peer-review

  8. Published

    RootPainter3D: Interactive-machine-learning enables rapid and accurate contouring for radiotherapy

    Smith, Abraham George, Petersen, Jens, Terrones-Campos, C., Berthelsen, A. K., Forbes, N. J., Darkner, Sune, Specht, Lena & Vogelius, I. R., 2022, In: Medical Physics. 49, 1, p. 461-473

    Research output: Contribution to journal › Journal article › Research › peer-review

  9. Published

    RootPainter: deep learning segmentation of biological images with corrective annotation

    Smith, Abraham George, Han, Eusun, Petersen, Jens, Olsen, N. A. F., Giese, C., Athmann, M., Dresbøll, Dorte Bodin & Thorup-Kristensen, Kristian, 2022, In: New Phytologist. 236, p. 774-791 18 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  10. Published

    Deep-Learning Image Segmentation with Corrective Annotation

    Smith, Abraham George, 2023, Department of Computer Science, University of Copenhagen. 135 p.

    Research output: Book/Report › Ph.D. thesis › Research

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ID: 202363390