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Journal of Cancer Research and Therapeutics|June 14, 2023
Autosegmentation of lung computed tomography datasets using deep learning U-Net architectureAkash Mehta, Margot Lehman, Prabhakar RamachandranJournal of Medical Physics|June 21, 2023
Investigation of Computed Tomography Numbers on Multiple Imaging Systems using Single and Multislice MethodsAkash Mehta, Daniel Arrington, Prabhakar Ramachandran, et al.Journal of Medical Physics|August 14, 2023
Assessment of Optimizers and their Performance in Autosegmenting Lung TumorsPrabhakar Ramachandran, Tamma Eswarlal, Margot Lehman, et al.Journal of Medical Physics|February 10, 2025
A Cost-effective Breath-hold Coaching Camera System for Patients Undergoing External Beam RadiotherapyAkash Mehta, Emma Horgan, Prabhakar Ramachandran, et al.Journal of Medical Physics|June 3, 2024
PAHPhysRAD: A Digital Imaging and Communications in Medicine Research Tool for Segmentation and Radiomic Feature ExtractionDaniel Arrington, Ryan Motley, Zachery Morton Colbert, et al.Journal of Medical Physics|September 27, 2021
Automatic Detection and Tracking of Marker Seeds Implanted in Prostate Cancer Patients using a Deep Learning AlgorithmKeya Amarsee, Prabhakar Ramachandran, Andrew Fielding, et al.Radiation Oncology Journal|October 8, 2021
Use of GammaPlan convolution algorithm for dose calculation on CT and cone-beam CT imagesPrabhakar Ramachandran, Ben Perrett, Orrie Dancewicz, et al.Journal of Medical Imaging and Radiation Oncology|May 11, 2021
A prospective evaluation of treatment recommendations compared to outcomes for a lung cancer multidisciplinary team and legal implicationsDaniel Klemm, Margot LehmanJournal of Medical Imaging and Radiation Oncology|February 6, 2019
Contouring experiences amongst Australian, New Zealand and Singaporean radiation oncology trainees. Is it enough? What next?John Leung, Margot LehmanPageof 10