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This is a "connection" page, showing publications co-authored by PETER A BALTER and LAURENCE EDWARD COURT.
PETER A BALTER
Connection Strength
5.078
LAURENCE EDWARD COURT
  1. Illustrated instructions for mechanical quality assurance of a medical linear accelerator. J Appl Clin Med Phys. 2018 May; 19(3):355-359.
    View in: PubMed
    Score: 0.654
  2. An Automated Treatment Planning Framework for Spinal Radiation Therapy and Vertebral-Level Second Check. Int J Radiat Oncol Biol Phys. 2022 11 01; 114(3):516-528.
    View in: PubMed
    Score: 0.221
  3. Using Failure Mode and Effects Analysis to Evaluate Risk in the Clinical Adoption of Automated Contouring and Treatment Planning Tools. Pract Radiat Oncol. 2022 Jul-Aug; 12(4):e344-e353.
    View in: PubMed
    Score: 0.216
  4. Beam energy metrics for the acceptance and quality assurance of Halcyon linear accelerator. J Appl Clin Med Phys. 2021 Jul; 22(7):121-127.
    View in: PubMed
    Score: 0.205
  5. Evaluation of a multiview architecture for automatic vertebral labeling of palliative radiotherapy simulation CT images. Med Phys. 2020 Nov; 47(11):5592-5608.
    View in: PubMed
    Score: 0.195
  6. Automatic Verification of Beam Apertures for Cervical Cancer Radiation Therapy. Pract Radiat Oncol. 2020 Sep - Oct; 10(5):e415-e424.
    View in: PubMed
    Score: 0.191
  7. Acceptance and verification of the Halcyon-Eclipse linear accelerator-treatment planning system without 3D water scanning system. J Appl Clin Med Phys. 2019 Oct; 20(10):111-117.
    View in: PubMed
    Score: 0.182
  8. Dosimetric impact and detectability of multi-leaf collimator positioning errors on Varian Halcyon. J Appl Clin Med Phys. 2019 Aug; 20(8):47-55.
    View in: PubMed
    Score: 0.180
  9. Automated treatment planning of postmastectomy radiotherapy. Med Phys. 2019 Sep; 46(9):3767-3775.
    View in: PubMed
    Score: 0.179
  10. A risk assessment of automated treatment planning and recommendations for clinical deployment. Med Phys. 2019 Jun; 46(6):2567-2574.
    View in: PubMed
    Score: 0.177
  11. Technical Note: Density correction to improve CT number mapping in thoracic deformable image registration. Med Phys. 2019 May; 46(5):2330-2336.
    View in: PubMed
    Score: 0.176
  12. Fully Automatic Treatment Planning for External-Beam Radiation Therapy of Locally Advanced Cervical Cancer: A Tool for Low-Resource Clinics. J Glob Oncol. 2019 01; 5:1-9.
    View in: PubMed
    Score: 0.173
  13. Independent validation of machine performance check for the Halcyon and TrueBeam linacs for daily quality assurance. J Appl Clin Med Phys. 2018 Sep; 19(5):375-382.
    View in: PubMed
    Score: 0.168
  14. Interplay effect on a 6-MV flattening-filter-free linear accelerator with high dose rate and fast multi-leaf collimator motion treating breast and lung phantoms. Med Phys. 2018 Jun; 45(6):2369-2376.
    View in: PubMed
    Score: 0.165
  15. Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System. J Vis Exp. 2018 04 11; (134).
    View in: PubMed
    Score: 0.165
  16. Normal tissue doses from MV image-guided radiation therapy (IGRT) using orthogonal MV and MV-CBCT. J Appl Clin Med Phys. 2018 May; 19(3):52-57.
    View in: PubMed
    Score: 0.163
  17. Atlas ranking and selection for automatic segmentation of the esophagus from CT scans. Phys Med Biol. 2017 Nov 14; 62(23):9140-9158.
    View in: PubMed
    Score: 0.160
  18. Delta-radiomics features for the prediction of patient outcomes in non-small cell lung cancer. Sci Rep. 2017 04 03; 7(1):588.
    View in: PubMed
    Score: 0.153
  19. Model for Estimating Power and Downtime Effects on Teletherapy Units in Low-Resource Settings. J Glob Oncol. 2017 Oct; 3(5):563-571.
    View in: PubMed
    Score: 0.151
  20. Reproducibility of patient setup in the seated treatment position: A novel treatment chair design. J Appl Clin Med Phys. 2017 Jan; 18(1):223-229.
    View in: PubMed
    Score: 0.151
  21. Can radiomics features be reproducibly measured from CBCT images for patients with non-small cell lung cancer? Med Phys. 2015 Dec; 42(12):6784-97.
    View in: PubMed
    Score: 0.140
  22. Upright cone beam CT imaging using the onboard imager. Med Phys. 2014 Jun; 41(6):061906.
    View in: PubMed
    Score: 0.126
  23. Evaluation of dose variation to normal and critical structures for lung hypofractionated stereotactic body radiation therapy. Pract Radiat Oncol. 2012 Jul-Sep; 2(3):e15-e21.
    View in: PubMed
    Score: 0.107
  24. Deep learning-based automatic segmentation of cardiac substructures for lung cancers. Radiother Oncol. 2024 Feb; 191:110061.
    View in: PubMed
    Score: 0.061
  25. Quantifying the Effect of 4-Dimensional Computed Tomography-Based Deformable Dose Accumulation on Representing Radiation Damage for Patients with Locally Advanced Non-Small Cell Lung Cancer Treated with Standard-Fractionated Intensity-Modulated Radiation Therapy. Int J Radiat Oncol Biol Phys. 2024 Jan 01; 118(1):231-241.
    View in: PubMed
    Score: 0.060
  26. Clinical implementation of automated treatment planning for whole-brain radiotherapy. J Appl Clin Med Phys. 2021 Sep; 22(9):94-102.
    View in: PubMed
    Score: 0.052
  27. Our Experience Leading a Large Medical Physics Practice During the COVID-19 Pandemic. Adv Radiat Oncol. 2021 Jul-Aug; 6(4):100683.
    View in: PubMed
    Score: 0.051
  28. Tissue-specific deformable image registration using a spatial-contextual filter. Comput Med Imaging Graph. 2021 03; 88:101849.
    View in: PubMed
    Score: 0.050
  29. Experience in commissioning the halcyon linac. Med Phys. 2019 Oct; 46(10):4304-4313.
    View in: PubMed
    Score: 0.045
  30. A snapshot of medical physics practice patterns. J Appl Clin Med Phys. 2018 Nov; 19(6):306-315.
    View in: PubMed
    Score: 0.043
  31. Retrospective Validation and Clinical Implementation of Automated Contouring of Organs at Risk in the Head and Neck: A Step Toward Automated Radiation Treatment Planning for Low- and Middle-Income Countries. J Glob Oncol. 2018 07; 4:1-11.
    View in: PubMed
    Score: 0.042
  32. A methodology to investigate the impact of image distortions on the radiation dose when using magnetic resonance images for planning. Phys Med Biol. 2018 04 05; 63(8):085005.
    View in: PubMed
    Score: 0.041
  33. Technical Note: Solving the "Chinese postman problem" for effective contour deformation. Med Phys. 2018 Feb; 45(2):767-772.
    View in: PubMed
    Score: 0.040
  34. An FMEA evaluation of intensity modulated radiation therapy dose delivery failures at tolerance criteria levels. Med Phys. 2017 Nov; 44(11):5575-5583.
    View in: PubMed
    Score: 0.040
  35. Erratum: "Modeling respiratory motion for reducing motion artifacts in 4D CT images" [Med. Phys. 40, 041716 (13pp.) (2013)]. Med Phys. 2015 Nov; 42(11):6768.
    View in: PubMed
    Score: 0.035
  36. Digital reconstruction of high-quality daily 4D cone-beam CT images using prior knowledge of anatomy and respiratory motion. Comput Med Imaging Graph. 2015 Mar; 40:30-8.
    View in: PubMed
    Score: 0.032
  37. Statistical modeling approach to quantitative analysis of interobserver variability in breast contouring. Int J Radiat Oncol Biol Phys. 2014 May 01; 89(1):214-21.
    View in: PubMed
    Score: 0.031
  38. Auto-segmentation of low-risk clinical target volume for head and neck radiation therapy. Pract Radiat Oncol. 2014 Jan-Feb; 4(1):e31-7.
    View in: PubMed
    Score: 0.029
  39. Modeling respiratory motion for reducing motion artifacts in 4D CT images. Med Phys. 2013 Apr; 40(4):041716.
    View in: PubMed
    Score: 0.029
Connection Strength

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Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.