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Adam Mylonas
Adam Mylonas
Image X Institute, The University of Sydney
Verified email at sydney.edu.au
Title
Cited by
Cited by
Year
A deep learning framework for automatic detection of arbitrarily shaped fiducial markers in intrafraction fluoroscopic images
A Mylonas, PJ Keall, JT Booth, CC Shieh, T Eade, PR Poulsen, ...
Medical physics 46 (5), 2286-2297, 2019
262019
A review of artificial intelligence applications for motion tracking in radiotherapy
A Mylonas, J Booth, DT Nguyen
Journal of Medical Imaging and Radiation Oncology 65 (5), 596-611, 2021
162021
Realistic CT data augmentation for accurate deep‐learning based segmentation of head and neck tumors in kV images acquired during radiation therapy
M Gardner, YB Bouchta, A Mylonas, M Mueller, C Cheng, P Chlap, ...
Medical Physics 50 (7), 4206-4219, 2023
52023
Deep learning enables MV-based real-time image guided radiation therapy for prostate cancer patients
D Chrystall, A Mylonas, E Hewson, J Martin, P Keall, J Booth, DT Nguyen
Physics in Medicine & Biology 68 (9), 095016, 2023
52023
Method and system for guided radiation therapy
DT Nguyen, P Keall, A Mylonas
US Patent App. 16/978,847, 2021
32021
Evaluation of deep learning based implanted fiducial markers tracking in pancreatic cancer patients
AM Ahmed, M Gargett, L Madden, A Mylonas, D Chrystall, R Brown, ...
Biomedical Physics & Engineering Express 9 (3), 035008, 2023
22023
Towards real-time markerless prostate IGRT during VMAT treatment
A Mylonas, M Mueller, P Keall, J Booth, D Nguyen
MEDICAL PHYSICS 48 (6), 2021
12021
CBCT-DRRs superior to CT-DRRs for target-tracking applications for pancreatic SBRT
L Madden, A Ahmed, M Stewart, D Chrystall, A Mylonas, R Brown, ...
Biomedical Physics & Engineering Express 10 (3), 035039, 2024
2024
Evaluation of Deep Learning-Based Algorithms for Tracking of Implanted Fiducial Markers in Pancreatic Cancer Patients
A Ahmed, A Mylonas, M Gargett, L Madden, D Chrystall, R Brown, ...
MEDICAL PHYSICS 49 (6), E744-E745, 2022
2022
A Deep Learning Fiducial Marker Detection Algorithm for Beam's-Eye-View Marker Tracking for Liver Cancer Patients
D Chrystall, E Hewson, C Sengupta, A Mylonas, T Wang, R O'Brien, Y Lee, ...
MEDICAL PHYSICS 49 (6), E333-E333, 2022
2022
PO-1698 Evaluation of deep learning based fiducial markers segmentation in pancreatic cancer patients
AM Ahmed, A Mylonas, M Gargett, D Chrystall, A Briggs, DT Nguyen, ...
Radiotherapy and Oncology 170, S1498, 2022
2022
Deep-learning method for segmenting head and neck tumours in kv images acquired during radiotherapy
M Gardner, A Mylonas, M Mueller, Y Ben Bouchta, JR Sykes, P Keall, ...
2022
Simultaneous Segmentation of Target and Organ at Risk in Thoracic Kilovoltage Images
M Mueller, A Mylonas, P Keall, J Booth, D Nguyen
MEDICAL PHYSICS 48 (6), 2021
2021
Automatic segmentation of head and neck tumors during treatment: Can we remove the mask yet?
M Gardner, M Mueller, Y Ben Bouchta, P Keall, A Mylonas, D Nguyen, ...
2021
Beams-Eye-View Tracking of Prostate Fiducial Markers During VMAT Treatments
A Mylonas, E Hewson, P Keall, J Booth, D Nguyen
MEDICAL PHYSICS 47 (6), E411-E411, 2020
2020
Development of An Automatic Deep Learning Framework for the Detection of Fiducial Markers in Intrafraction Kilovoltage Images
A Mylonas, PJ Keall, JT Booth, T Eade, DT Nguyen
MEDICAL PHYSICS 45 (6), E162-E162, 2018
2018
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