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Dishane C Luximon

Showing results (1-10 of 10) with videos related to

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Physics and Imaging in Radiation Oncology|March 20, 2023
Feasibility of a deep-learning based anatomical region labeling tool for Cone-Beam Computed Tomography scans in radiotherapyDishane C Luximon, John Neylon, James M Lamb
Journal of Applied Clinical Medical Physics|May 11, 2023
Proof-of-concept study of artificial intelligence-assisted review of CBCT image guidanceJack Neylon, Dishane C Luximon, Timothy Ritter, et al.
Cureus|June 29, 2026
Computed Tomography-Guided and Magnetic Resonance-Guided Adaptive Radiotherapy for Gynecological Stereotactic Body Radiotherapy Treatments: A Dosimetry and Workflow AnalysisDishane C Luximon, Rojine T Ariani, John Charters, et al.
Medical Physics|November 16, 2021
Machine-assisted interpolation algorithm for semi-automated segmentation of highly deformable organsDishane C Luximon, Yasin Abdulkadir, Phillip E Chow, et al.
Journal of Applied Clinical Medical Physics|April 23, 2024
Clinical physicists' perceptions of weekly chart checks and the potential role for automated image review assessed by structured interviewsRachel Petragallo, Dishane C Luximon, Jack Neylon, et al.
Medical Physics|August 9, 2025
Proof of concept of a fully unsupervised anomaly detection framework in CBCT-guided radiotherapyDishane C Luximon, Moritz Ritter, Rachel Petragallo, et al.
Medical Physics|August 13, 2022
Development and interinstitutional validation of an automatic vertebral-body misalignment error detector for cone-beam CT-guided radiotherapyDishane C Luximon, Timothy Ritter, Emma Fields, et al.
Advances in Radiation Oncology|May 7, 2026
Automated Assessment of Nondosimetric Aspects of Prostate Radiation Therapy Treatment Quality in a Large Plan DatabaseJohn A Charters, Melissa Ghafarian, Yasin Abdulkadir, et al.
Journal of Applied Clinical Medical Physics|April 5, 2025
Open-source deep-learning models for segmentation of normal structures for prostatic and gynecological high-dose-rate brachytherapy: Comparison of architecturesAndrew J Krupien, Yasin Abdulkadir, Dishane C Luximon, et al.
International Journal of Radiation Oncology, Biology, Physics|March 14, 2024
Results of an Artificial Intelligence-Based Image Review System to Detect Patient Misalignment Errors in a Multi-institutional Database of Cone Beam Computed Tomography-Guided Radiation TherapyDishane C Luximon, Jack Neylon, Timothy Ritter, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Physics and Imaging in Radiation Oncology|March 20, 2023
Feasibility of a deep-learning based anatomical region labeling tool for Cone-Beam Computed Tomography scans in radiotherapyDishane C Luximon, John Neylon, James M Lamb
Journal of Applied Clinical Medical Physics|May 11, 2023
Proof-of-concept study of artificial intelligence-assisted review of CBCT image guidanceJack Neylon, Dishane C Luximon, Timothy Ritter, et al.
Cureus|June 29, 2026
Computed Tomography-Guided and Magnetic Resonance-Guided Adaptive Radiotherapy for Gynecological Stereotactic Body Radiotherapy Treatments: A Dosimetry and Workflow AnalysisDishane C Luximon, Rojine T Ariani, John Charters, et al.
Medical Physics|November 16, 2021
Machine-assisted interpolation algorithm for semi-automated segmentation of highly deformable organsDishane C Luximon, Yasin Abdulkadir, Phillip E Chow, et al.
Journal of Applied Clinical Medical Physics|April 23, 2024
Clinical physicists' perceptions of weekly chart checks and the potential role for automated image review assessed by structured interviewsRachel Petragallo, Dishane C Luximon, Jack Neylon, et al.
Medical Physics|August 9, 2025
Proof of concept of a fully unsupervised anomaly detection framework in CBCT-guided radiotherapyDishane C Luximon, Moritz Ritter, Rachel Petragallo, et al.
Medical Physics|August 13, 2022
Development and interinstitutional validation of an automatic vertebral-body misalignment error detector for cone-beam CT-guided radiotherapyDishane C Luximon, Timothy Ritter, Emma Fields, et al.
Advances in Radiation Oncology|May 7, 2026
Automated Assessment of Nondosimetric Aspects of Prostate Radiation Therapy Treatment Quality in a Large Plan DatabaseJohn A Charters, Melissa Ghafarian, Yasin Abdulkadir, et al.
Journal of Applied Clinical Medical Physics|April 5, 2025
Open-source deep-learning models for segmentation of normal structures for prostatic and gynecological high-dose-rate brachytherapy: Comparison of architecturesAndrew J Krupien, Yasin Abdulkadir, Dishane C Luximon, et al.
International Journal of Radiation Oncology, Biology, Physics|March 14, 2024
Results of an Artificial Intelligence-Based Image Review System to Detect Patient Misalignment Errors in a Multi-institutional Database of Cone Beam Computed Tomography-Guided Radiation TherapyDishane C Luximon, Jack Neylon, Timothy Ritter, et al.
Pageof 1