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Aly Khalifa
Aly Khalifa
Verified email at mail.utoronto.ca - Homepage
Title
Cited by
Cited by
Year
The future of MRI in radiation therapy: Challenges and opportunities for the MR community
RJ Goodburn, MEP Philippens, TL Lefebvre, A Khalifa, T Bruijnen, ...
Magnetic resonance in medicine 88 (6), 2592-2608, 2022
482022
Artificial intelligence for radiation treatment planning: Bridging gaps from retrospective promise to clinical reality
L Conroy, J Winter, A Khalifa, G Tsui, A Berlin, TG Purdie
Clinical Oncology 37, 103630, 2025
122025
Performance stability evaluation of atlas-based machine learning radiation therapy treatment planning in prostate cancer
L Conroy, A Khalifa, A Berlin, C McIntosh, TG Purdie
Physics in Medicine & Biology 66 (13), 134001, 2021
72021
Machine learning automated treatment planning for online magnetic resonance guided adaptive radiotherapy of prostate cancer
A Khalifa, JD Winter, T Tadic, TG Purdie, C McIntosh
Physics and Imaging in Radiation Oncology 32, 100649, 2024
62024
Domain adaptation of automated treatment planning from computed tomography to magnetic resonance
A Khalifa, J Winter, I Navarro, C McIntosh, TG Purdie
Physics in Medicine & Biology 67 (12), 125010, 2022
32022
Multi-task learning for automated contouring and dose prediction in radiotherapy
S Kim, A Khalifa, TG Purdie, C McIntosh
Physics in Medicine & Biology 70 (5), 055007, 2025
22025
Multi-Task Learning for Integrated Automated Contouring and Voxel-Based Dose Prediction in Radiotherapy
S Kim, A Khalifa, TG Purdie, C McIntosh
arXiv preprint arXiv:2411.18767, 2024
22024
Does Machine Learning Deliver? Advancing Applications of Automated Treatment Planning in Radiation Therapy
AS Khalifa
University of Toronto (Canada), 2025
2025
Feasibility of Prostate Radiation Therapy Planning on Deep Learning Enhanced Diagnostic CT Imaging
A Khalifa, S Kim, J Roh, Y Jun, C Wong, MVN Barcelona, JD Winter, ...
AAPM 66th Annual Meeting & Exhibition, 2024
2024
9 Machine Learning Plan Adaptation Improves Quality of Ultra-Hypofractionated Adaptive Radiation Therapy for Prostate Cancer On a 1.5 T MR-Linear Accelerator
A Khalifa, J Winter, T Tadic, C McIntosh, TG Purdie
Radiotherapy and Oncology 186, S7, 2023
2023
Dose Accumulation in Automated Machine Learning Treatment Plan Adaptation for Ultra-Hypofractionated Prostate Adaptive Radiation Therapy Using Magnetic Resonance Image Guidance
A Khalifa, JD Winter, T Tadic, C McIntosh, TG Purdie
AAPM 65th Annual Meeting & Exhibition, 2023
2023
Machine Learning Radiotherapy Automated Planning: Transition to an Ultra-hypofractionated Prostate Model
V Wan, E Ramchand, A Khalifa, L Conroy, C McIntosh, TG Purdie, G Tsui, ...
Journal of Medical Imaging and Radiation Sciences 54 (1), 10, 2023
2023
Validation of a daily adaptive radiation therapy pipeline incorporating machine learning automated treatment planning on CBCT with dose accumulation
A Khalifa, M Golshan, I Navarro, J Xie, C McIntosh, TG Purdie, V Malkov, ...
Medical Physics 49 (8), 5638, 2022
2022
Daily Adaptive Replanning with Dose Accumulation for Prostate Ultra-Hypofractionated Radiotherapy Using Machine Learning Automated Planning On CBCT
M Golshan, A Khalifa, J Winter, J Xie, C McIntosh, T Purdie, V Malkov, ...
MEDICAL PHYSICS 49 (6), E465-E466, 2022
2022
Validation of CBCT-Based Machine-Learning Automated Planning for Adaptive Prostate Radiation Therapy
A Khalifa, M Golshan, I Navarro, V Malkov, C McIntosh, T Purdie, T Tadic, ...
MEDICAL PHYSICS 49 (6), E246-E246, 2022
2022
PD-0894 atlas-based treatment planning models for magnetic resonance guided therapy
A Khalifa, J Winter, I Navarro, C McIntosh, TG Purdie
Radiotherapy and Oncology 170, S786-S787, 2022
2022
A Comparison of Brain Iron Accumulation Patterns Between Subtypes of Multiple Sclerosis
A Khalifa, MD Noseworthy
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Articles 1–17