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Academic Journal

Deep learning-based segmentation of prostatic urethra on computed tomography scans for treatment planning

Subjects: Deep learning segmentation; Intraprostatic urethra; OAR segmentation

  • Source: ISSN: 2405-6316 ; Physics and Imaging in Radiation Oncology ; https://hal.science/hal-04088339 ; Physics and Imaging in Radiation Oncology, 2023, 26, pp.100431.

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Academic Journal

Planning With Patient-Specific Rectal Sub-Region Constraints Decreases Probability of Toxicity in Prostate Cancer Radiotherapy

Subjects: organ-at-risk sparing; plan optimization; prostate cancer radiotherapy

  • Source: ISSN: 2234-943X ; Frontiers in Oncology ; https://hal.science/hal-02972470 ; Frontiers in Oncology, 2020, 10, pp.1597. ⟨10.3389/fonc.2020.01597⟩.

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Academic Journal

Population model of bladder motion and deformation based on dominant eigenmodes and mixed-effects models in prostate cancer radiotherapy

Subjects: Mixed-effects models; Motion/deformation models; Principal Component Analysis

  • Source: ISSN: 1361-8415.

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Academic Journal

Multi-atlas-based segmentation of prostatic urethra from planning CT imaging to quantify dose distribution in prostate cancer radiotherapy

Subjects: Urinary toxicity; Urethra segmentation; Atlas-based segmentation

  • Source: ISSN: 0167-8140 ; Radiotherapy & Oncology ; https://univ-rennes.hal.science/hal-01671693 ; Radiotherapy & Oncology, 2017, 125 (3), pp.492 - 499. ⟨10.1016/j.radonc.2017.09.015⟩.

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A novel classification method for prediction of rectal bleeding in prostate cancer radiotherapy based on a semi-nonnegative ICA of 3D planned dose distributions

Subjects: rectal bleeding; semi-nonnegative ICA algorithm; side effects

  • Source: ISSN: 2168-2194 ; IEEE Journal of Biomedical and Health Informatics ; https://hal.science/hal-01011843 ; IEEE Journal of Biomedical and Health Informatics, 2015, 9 (3), pp.1168-1177.

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Academic Journal

Voxel-based population analysis for correlating local dose and rectal toxicity in prostate cancer radiotherapy.

Subjects: population analysis; non-rigid registration; predictive models

  • Source: ISSN: 0031-9155.

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  • 1-6 of  6 results for ""Acosta, Oscar""