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2024 Journal Article Radio-opaque contrast agents for liver cancer targeting with KIM during radiation therapy (ROCK-RT): an observational feasibility studyPlant, Natalie, Mylonas, Adam, Sengupta, Chandrima, Nguyen, Doan Trang, Silvester, Shona, Pryor, David, Greer, Peter, Lee, Yoo Young, Ramachandran, Prabhakar, Seshadri, Venkatakrishnan, Trada, Yuvnik, Khor, Richard, Wang, Tim, Hardcastle, Nicholas and Keall, Paul (2024). Radio-opaque contrast agents for liver cancer targeting with KIM during radiation therapy (ROCK-RT): an observational feasibility study. Radiation Oncology, 19 (1) 139, 1. doi: 10.1186/s13014-024-02524-4 |
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2024 Journal Article A cost-effective breath-hold coaching camera system for patients undergoing external beam radiotherapyMehta, Akash, Horgan, Emma, Ramachandran, Prabhakar and Noble, Christopher (2024). A cost-effective breath-hold coaching camera system for patients undergoing external beam radiotherapy. Journal of Medical Physics, 49 (4), 502-509. doi: 10.4103/jmp.jmp_101_24 |
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2024 Conference Publication Enhancing Gamma Knife CBCT Image Quality Using Pix2Pix Generative Adversarial NetworksRamachandran, Prabhakar, Colbert, Zachery, Anderson, Darcie, Fielding, Andrew, Arrington, Daniel and Foote, Matthew (2024). Enhancing Gamma Knife CBCT Image Quality Using Pix2Pix Generative Adversarial Networks. ESTRO meets Asia 2024, Kuala Lumpur, Malaysia, 23-25 August 2024. Shannon, Ireland: Elsevier. doi: 10.1016/s0167-8140(24)03134-7 |
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2024 Journal Article Utility of 68Ga-DOTATATE PET-MRI for Gamma Knife® stereotactic radiosurgery treatment planning for meningiomaRatnayake, Gishan, Huo, Michael, Mehta, Akash, Ramachandran, Prabhakar, Pinkham, Mark B., Law, Phillip, Watkins, Trevor, Olson, Sarah, Hall, Bruce, Brown, Simon, Lusk, Ryan, Jones, Catherine, O’Mahoney, Eoin, McGill, George and Foote, Matthew C. (2024). Utility of 68Ga-DOTATATE PET-MRI for Gamma Knife® stereotactic radiosurgery treatment planning for meningioma. British Journal of Radiology, 97 (1153), 180-185. doi: 10.1093/bjr/tqad026 |
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2024 Journal Article The first clinical implementation of real-time 6 degree-of-freedom image-guided radiotherapy for liver SABR patientsSengupta, Chandrima, Trang Nguyen, Doan, Moodie, Trevor, Mason, Daniel, Luo, Jianjie, Causer, Trent, Fan Liu, Sau, Brown, Elizabeth, Inskip, Lauren, Hazem, Maryam, Chao, Menglei, Wang, Tim, Lee, Yoo Y, van Gysen, Kirsten, Sullivan, Emma, Cosgriff, Eireann, Ramachandran, Prabhakar, Poulsen, Per, Booth, Jeremy, O'Brien, Ricky, Greer, Peter and Keall, Paul (2024). The first clinical implementation of real-time 6 degree-of-freedom image-guided radiotherapy for liver SABR patients. Radiotherapy and Oncology, 190 110031, 110031-190. doi: 10.1016/j.radonc.2023.110031 |
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2023 Journal Article Design and development of a low-cost integrated dosimeter for external beam dosimetry in radiation oncologyChant, Tim and Ramachandran, Prabhakar (2023). Design and development of a low-cost integrated dosimeter for external beam dosimetry in radiation oncology. Journal of Medical Physics, 48 (4), 392-397. doi: 10.4103/jmp.jmp_107_23 |
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2023 Journal Article Generating missing patient anatomy from partially acquired cone-beam computed tomography images using deep learning: a proof of conceptShields, Benjamin and Ramachandran, Prabhakar (2023). Generating missing patient anatomy from partially acquired cone-beam computed tomography images using deep learning: a proof of concept. Physical and Engineering Sciences in Medicine, 46 (3), 1321-1330. doi: 10.1007/s13246-023-01302-y |
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2023 Journal Article Auto-segmentation of thoracic organs in CT scans of breast cancer patients using a 3D U-Net cascaded into PatchGANsColbert, Zachery Morton and Ramachandran, Prabhakar (2023). Auto-segmentation of thoracic organs in CT scans of breast cancer patients using a 3D U-Net cascaded into PatchGANs. Biomedical Physics and Engineering Express, 9 (5) 055011. doi: 10.1088/2057-1976/ace631 |
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2023 Conference Publication Machine learning to predict local failure in melanoma brain metastases treated with radiosurgeryShanker, M., Ramachandran, P., Motley, R., Huo, M., Foote, M. and Pinkham, M. (2023). Machine learning to predict local failure in melanoma brain metastases treated with radiosurgery. ESTRO 2023, Vienna, Austria, 13 - 16 May 2023. Shannon, Ireland: Elsevier. doi: 10.1016/s0167-8140(23)67001-x |
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2023 Journal Article Assessment of optimizers and their performance in autosegmenting lung tumorsRamachandran, Prabhakar, Eswarlal, Tamma, Lehman, Margot and Colbert, Zachery (2023). Assessment of optimizers and their performance in autosegmenting lung tumors. Journal of Medical Physics, 48 (2), 129-135. doi: 10.4103/jmp.jmp_54_23 |
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2023 Journal Article Repurposing traditional U-Net predictions for sparse SAM prompting in medical image segmentationColbert, Zachery Morton, Arrington, Daniel, Foote, Matthew, Gårding, Jonas, Fay, Dominik, Huo, Michael, Pinkham, Mark and Ramachandran, Prabhakar (2023). Repurposing traditional U-Net predictions for sparse SAM prompting in medical image segmentation. Biomedical Physics and Engineering Express, 10 (2) 025004, 1-10. doi: 10.1088/2057-1976/ad17a7 |
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2023 Journal Article Investigation of computed tomography numbers on multiple imaging systems using single and multislice methodsRamachandran, Prabhakar, Mehta, Akash, Arrington, Daniel, Motley, Ryan, Seshadri, Venkatakrishnan, Anderson, Darcie, Lehman, Margot and Perrett, Ben (2023). Investigation of computed tomography numbers on multiple imaging systems using single and multislice methods. Journal of Medical Physics, 48 (1) 26, 1-12. doi: 10.4103/jmp.jmp_3_23 |
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2023 Journal Article Autosegmentation of lung computed tomography datasets using deep learning U-Net architectureMehta, Akash, Lehman, Margot and Ramachandran, Prabhakar (2023). Autosegmentation of lung computed tomography datasets using deep learning U-Net architecture. Journal of Cancer Research and Therapeutics, 19 (2), 289-298. doi: 10.4103/jcrt.jcrt_119_21 |
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2022 Journal Article Autosegmentation of brain metastases using 3D FCNN models and methods to manage GPU memory limitationsBognar, Joshua and Ramachandran, Prabhakar (2022). Autosegmentation of brain metastases using 3D FCNN models and methods to manage GPU memory limitations. Biomedical Physics and Engineering Express, 8 (6) 065027, 1-13. doi: 10.1088/2057-1976/ac9b5b |
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2022 Journal Article A framework for exactrac dynamic commissioning for stereotactic radiosurgery and stereotactic ablative radiotherapyRamachandran, Prabhakar, Perrett, Ben, Ukath, Jaysree, Horgan, Emma and Noble, Chris (2022). A framework for exactrac dynamic commissioning for stereotactic radiosurgery and stereotactic ablative radiotherapy. Journal of Medical Physics, 47 (4), 398-408. doi: 10.4103/jmp.jmp_67_22 |
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2022 Book Chapter Role of artificial intelligence in automatic segmentation of brain metastases for radiotherapyRamachandran, Prabhakar, Seshadri, Venkatakrishnan, Perrett, Ben, Mehta, Akash, Fontanarosa, Davide, Pinkham, Mark and Foote, Matthew (2022). Role of artificial intelligence in automatic segmentation of brain metastases for radiotherapy. Artificial intelligence in cancer diagnosis and prognosis, Volume 3: Brain and prostate cancer. (pp. 4-1-4-23) edited by Ayman El-Baz and Jasjit S Suri. Bristol, U.K. : IOP Publishing. doi: 10.1088/978-0-7503-3603-1ch4 |
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2022 Journal Article A direct comparison of the optically stimulated luminescent properties of BeO and Al2O3 for clinical in-vivo dosimetryBroadhead, Benjamin, Noble, Christopher and Ramachandran, Prabhakar (2022). A direct comparison of the optically stimulated luminescent properties of BeO and Al2O3 for clinical in-vivo dosimetry. Physical and Engineering Sciences in Medicine, 45 (3), 859-866. doi: 10.1007/s13246-022-01155-x |
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2022 Journal Article Comparison and validation of multiple detectors against monte carlo simulation for the use of small-field dosimetryRamachandran, Prabhakar, Parveen, Nazia, Seshadri, Venkatakrishnan, Perrett, Ben and Fielding, Andrew (2022). Comparison and validation of multiple detectors against monte carlo simulation for the use of small-field dosimetry. Journal of Medical Physics, 47 (3), 235-242. doi: 10.4103/jmp.jmp_35_22 |
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2022 Journal Article A feasibility study on the development and use of a deep learning model to automate real-time monitoring of tumor position and assessment of interfraction fiducial marker migration in prostate radiotherapy patientsMotley, Ryan, Fielding, Andrew L and Ramachandran, Prabhakar (2022). A feasibility study on the development and use of a deep learning model to automate real-time monitoring of tumor position and assessment of interfraction fiducial marker migration in prostate radiotherapy patients. Biomedical Physics and Engineering Express, 8 (3) 035009. doi: 10.1088/2057-1976/ac34da |
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2021 Journal Article Automatic detection and tracking of marker seeds implanted in prostate cancer patients using a deep learning algorithmAmarsee, Keya, Ramachandran, Prabhakar, Fielding, Andrew, Lehman, Margot, Noble, Christopher, Perrett, Ben and Ning, Daryl (2021). Automatic detection and tracking of marker seeds implanted in prostate cancer patients using a deep learning algorithm. Journal of Medical Physics, 46 (2), 80-87. doi: 10.4103/jmp.JMP_117_20 |
