Research map: End‐to‐end deep learning pipeline for automated IMRT planning in lymphoma: Feasibility and limitations

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  1. Quantitative Analyses of Normal Tissue Effects in the Clinic (QUANTEC): An Introduction to the Scientific Issues · Søren Møller Bentzen · 2010 · 1270 citations · Cited by this paper
  2. Efficient low‐dose CT image enhancement using MobileMamba‐UNet with wavelet‐enhanced long‐range modeling · 2026 · Related
  3. A simple scoring ratio to index the conformity of radiosurgical treatment plans · Ian Paddick · 2000 · 1055 citations · Cited by this paper
  4. Commissioning and performance evaluations of the electron Monte Carlo algorithm in a new commercial treatment planning system · 2026 · Related
  5. Rethinking ImageNet Pre-Training · Kaiming He · 2019 · 1034 citations · Cited by this paper
  6. An interpretable radiomics–deep learning nomogram from whole‐body bone scintigraphy for MDP‐avid bone metastasis prediction in NSCLC · 2026 · Related
  7. Modern Radiation Therapy for Hodgkin Lymphoma: Field and Dose Guidelines From the International Lymphoma Radiation Oncology Group (ILROG) · Lena Specht · 2013 · 582 citations · Cited by this paper
  8. Pulse‑level characterization of low monitor unit deliveries on a modern linear accelerator using a plastic scintillation detector · 2026 · Related
  9. Variation in external beam treatment plan quality: An inter-institutional study of planners and planning systems · Benjamin E. Nelms · 2012 · 489 citations · Cited by this paper
  10. Assessment of 6MV flattening filter free (FFF) beam commissioning parameters for Versa HD and TrueBeam: A comparison study · 2026 · Related
  11. Modern Radiation Therapy for Extranodal Lymphomas: Field and Dose Guidelines From the International Lymphoma Radiation Oncology Group · Joachim Yahalom · 2015 · 410 citations · Cited by this paper
  12. Scanner‐agnostic artificial intelligence approach for fast bone scintigraphy · 2026 · Related
  13. Modern Radiation Therapy for Nodal Non-Hodgkin Lymphoma—Target Definition and Dose Guidelines From the International Lymphoma Radiation Oncology Group · Tim Illidge · 2014 · 314 citations · Cited by this paper
  14. Effect of wearing a brassiere during low‐dose chest CT for lung cancer screening · 2026 · Related
  15. Automation in intensity modulated radiotherapy treatment planning—a review of recent innovations · Mohammad Lutfi Hussein · 2018 · 272 citations · Cited by this paper
  16. Real‐time motion tracking of a gold implant in water by Cherenkov lights · 2026 · Related
  17. A Comprehensive Comparison of IMRT and VMAT Plan Quality for Prostate Cancer Treatment · Enzhuo Quan · 2012 · 221 citations · Cited by this paper
  18. Implementation of VMAT‐based lattice spatially fractionated radiation therapy (SFRT) across linac platforms: Practical considerations for QA and motion management · 2026 · Related
  19. Three‐dimensional dose prediction for lung IMRT patients with deep neural networks: robust learning from heterogeneous beam configurations · Ana María Barragán Montero · 2019 · 195 citations · Cited by this paper
  20. Method for simultaneous selection of treatment isocenters and margins for polymetastatic extracranial stereotactic ablative radiotherapy · 2026 · Related
  21. Automatic planning of head and neck treatment plans · Irene Hazell · 2016 · 148 citations · Cited by this paper
  22. Involved Site Radiation Therapy in Adult Lymphomas: An Overview of International Lymphoma Radiation Oncology Group Guidelines · Andrew Wirth · 2020 · 145 citations · Cited by this paper
  23. OpenKBP: The open‐access knowledge‐based planning grand challenge and dataset · Aaron Babier · 2021 · 124 citations · Cited by this paper
  24. Dose prediction with deep learning for prostate cancer radiation therapy: Model adaptation to different treatment planning practices · Roya Norouzi Kandalan · 2020 · 102 citations · Cited by this paper
  25. Automated IMRT planning with regional optimization using planning scripts · Ilma Xhaferllari · 2013 · 96 citations · Cited by this paper
  26. Fully automated dose prediction using generative adversarial networks in prostate cancer patients · Yu Murakami · 2020 · 78 citations · Cited by this paper
  27. Fluence-map generation for prostate intensity-modulated radiotherapy planning using a deep-neural-network · Hoyeon Lee · 2019 · 63 citations · Cited by this paper
  28. Fluence Map Prediction Using Deep Learning Models – Direct Plan Generation for Pancreas Stereotactic Body Radiation Therapy · Wentao Wang · 2020 · 62 citations · Cited by this paper
  29. Deep Learning–Based Dose Prediction for Automated, Individualized Quality Assurance of Head and Neck Radiation Therapy Plans · Mary Gronberg · 2023 · 60 citations · Cited by this paper
  30. The number of beams in IMRT—theoretical investigations and implications for single-arc IMRT · Thomas R Bortfeld · 2009 · 53 citations · Cited by this paper
  31. An Artificial Intelligence-Driven Agent for Real-Time Head-and-Neck IMRT Plan Generation using Conditional Generative Adversarial Network (cGAN) · Xinyi Li · 2020 · 40 citations · Cited by this paper
  32. Deep learning-based inverse mapping for fluence map prediction · Lin Ma · 2020 · 36 citations · Cited by this paper
  33. Using deep learning to predict beam‐tunable Pareto optimal dose distribution for intensity‐modulated radiation therapy · Gyanendra Bohara · 2020 · 33 citations · Cited by this paper
  34. Deep Learning–Based Fluence Map Prediction for Pancreas Stereotactic Body Radiation Therapy With Simultaneous Integrated Boost · Wentao Wang · 2021 · 30 citations · Cited by this paper
  35. Accelerate treatment planning process using deep learning generated fluence maps for cervical cancer radiation therapy · Zengtai Yuan · 2022 · 25 citations · Cited by this paper
  36. Treatment plan prediction for lung IMRT using deep learning based fluence map generation · Liesbeth Vandewinckele · 2022 · 23 citations · Cited by this paper
  37. Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning · Dan T. D. Nguyen · 2019 · 21 citations · Cited by this paper
  38. Phase 2 Study of Dose-Reduced Consolidation Radiation Therapy in Diffuse Large B-Cell Lymphoma · Chris R. Kelsey · 2019 · 20 citations · Cited by this paper
  39. Automatic dose prediction using deep learning and plan optimization with finite‐element control for intensity modulated radiation therapy · Yichao Shen · 2023 · 17 citations · Cited by this paper

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