Overview
Background
Dr Prabhakar Ramachandran is the Director of Medical Physics at the Princess Alexandra Hospital (Ipswich Road). He has post-graduate degrees in Medical Physics, Electronics Engineering, and Computer Science. He earned his PhD from the All India Institute of Medical Sciences, New Delhi. He holds accreditation in Radiotherapy QA from the Australasian College of Physical Scientists and Engineers in Medicine (ACPSEM) and in Radiation Safety from the Australasian Radiation Protection Society Inc (ARPS). He is also board certified by the American Board of Radiology. His research interests include real-time dosimetry, treatment planning, 4D-imaging, radiation dosimetry, and developing deep learning models for Gamma Knife radiotherapy.
Availability
- Dr Prabhakar Ramachandran is:
- Available for supervision
Research interests
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Radiation Dosimetry
Works
Search Professor Prabhakar Ramachandran’s works on UQ eSpace
2025
Journal Article
A review of image processing and analysis of computed tomography images using deep learning methods
Anderson, Darcie, Ramachandran, Prabhakar, Trapp, Jamie and Fielding, Andrew (2025). A review of image processing and analysis of computed tomography images using deep learning methods. Physical and Engineering Sciences in Medicine, 48 (4), 1491-1523. doi: 10.1007/s13246-025-01635-w
2025
Conference Publication
Deep Learning-Based Synthetic CT Generation from MRI for Head and Neck Cancer Radiation Therapy Planning
Liefman, D., Ramachandran, P., Jones, C., Gould, C., Devlin, A., McDowell, L.J. and Liu, H. (2025). Deep Learning-Based Synthetic CT Generation from MRI for Head and Neck Cancer Radiation Therapy Planning. ASTRO 2025: 67th Annual Meeting, San Francisco, CA United States, 28-30 September 2025. Philadelphia, PA United States: Elsevier. doi: 10.1016/j.ijrobp.2025.06.2315
2025
Conference Publication
Deep Learning-Based Framework for Liver Tumour Motion Detection Using Fiducial Markers in Kilovoltage X-ray Images
Kan, Frances, Jin, Freeman, Mylonas, Adam, Zwan, Benjamin, Nguyen, Trang, Moodie, Trevor, Hardcastle, Nick, Ramachandran, Prabhakar, Mason, Daniel, Wang, Tim, Lee, Yoo Young, Keall, Paul and Sengupta, Chandrima (2025). Deep Learning-Based Framework for Liver Tumour Motion Detection Using Fiducial Markers in Kilovoltage X-ray Images. ESTRO 2025, Vienna, Austria, 2-6 May 2025. Shannon, Ireland: Elsevier. doi: 10.1016/s0167-8140(25)00260-9
2025
Book Chapter
Teletherapy Technology and Principles
Sarkar, Biplab and Ramachandran, Prabhakar (2025). Teletherapy Technology and Principles. Radiation Oncology – Principles, Precepts and Practice. (pp. 269-295) Singapore: Springer Nature Singapore. doi: 10.1007/978-981-97-8389-2_12
2025
Book Chapter
Electron Beams
Ganesh, Tharmarnadar and Ramachandran, Prabhakar (2025). Electron Beams. Radiation Oncology – Principles, Precepts and Practice. (pp. 319-337) Singapore: Springer Nature Singapore. doi: 10.1007/978-981-97-8389-2_14
2025
Book Chapter
Clinical Radiation Physics
Ganesh, Tharmarnadar, Semwal, Manoj K., Ramachandran, Prabhakar, Sarkar, Biplab, Holla, Raghavendra and Manikandan, Arjunan (2025). Clinical Radiation Physics. Radiation Oncology – Principles, Precepts and Practice. (pp. 95-137) Singapore: Springer Nature Singapore. doi: 10.1007/978-981-97-8389-2_5
2024
Journal Article
Radio-opaque contrast agents for liver cancer targeting with KIM during radiation therapy (ROCK-RT): an observational feasibility study
Plant, 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, 1-8. doi: 10.1186/s13014-024-02524-4
2024
Journal Article
A cost-effective breath-hold coaching camera system for patients undergoing external beam radiotherapy
Mehta, 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
2024
Conference Publication
Enhancing Gamma Knife CBCT Image Quality Using Pix2Pix Generative Adversarial Networks
Ramachandran, 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
2024
Journal Article
The first clinical implementation of real-time 6 degree-of-freedom image-guided radiotherapy for liver SABR patients
Sengupta, 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
2024
Journal Article
Utility of 68Ga-DOTATATE PET-MRI for Gamma Knife® stereotactic radiosurgery treatment planning for meningioma
Ratnayake, 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
2023
Journal Article
Design and development of a low-cost integrated dosimeter for external beam dosimetry in radiation oncology
Chant, 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
2023
Journal Article
Generating missing patient anatomy from partially acquired cone-beam computed tomography images using deep learning: a proof of concept
Shields, 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
2023
Journal Article
Auto-segmentation of thoracic organs in CT scans of breast cancer patients using a 3D U-Net cascaded into PatchGANs
Colbert, 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, 055011. doi: 10.1088/2057-1976/ace631
2023
Conference Publication
Machine learning to predict local failure in melanoma brain metastases treated with radiosurgery
Shanker, 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
2023
Journal Article
Assessment of optimizers and their performance in autosegmenting lung tumors
Ramachandran, 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
2023
Journal Article
Repurposing traditional U-Net predictions for sparse SAM prompting in medical image segmentation
Colbert, 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
2023
Journal Article
Investigation of computed tomography numbers on multiple imaging systems using single and multislice methods
Ramachandran, 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
2023
Journal Article
Autosegmentation of lung computed tomography datasets using deep learning U-Net architecture
Mehta, 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
2022
Journal Article
Autosegmentation of brain metastases using 3D FCNN models and methods to manage GPU memory limitations
Bognar, 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
Funding
Past funding
Supervision
Availability
- Dr Prabhakar Ramachandran is:
- Available for supervision
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Supervision history
Current supervision
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Doctor Philosophy
Investigation into assessment methods of heterogeneity within MR and MRS images of brain tumours treated with Leksell Gamma Knife and their predictive value for treatment outcome
Associate Advisor
Media
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