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SP-0271: Deep learning for target volume segmentation in the head and neck region

Radiotherapy and oncology, 2020-11, Vol.152, p.S135-S135

Aristophanous, M.

2020

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A multi-region algorithm for markerless beam's-eye view lung tumor tracking

Physics in medicine & biology, 2010-09, Vol.55 (18), p.5585-5598

2010

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Development of a Radiomics-Based Survival Prediction Model for Cervical Cancer Patients

International journal of radiation oncology, biology, physics, 2016-10, Vol.96 (2), p.S72-S72

2016

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EPID-guided 3D dose verification of lung SBRT

Medical physics (Lancaster), 2011-01, Vol.38 (1), p.495-503

2011

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Biological and Dosimetric Analysis of Locoregional Failure After IMRT for Head and Neck Cancer

International journal of radiation oncology, biology, physics, 2014-09, Vol.90 (1), p.S571-S572

2014

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The Effect Of Respiratory Motion On Pet Imaging Of Tumor Heterogeneity In Non-small Cell Lung Cancer (NSCLC)

International journal of radiation oncology, biology, physics, 2014-09, Vol.90 (1), p.S25-S26

2014

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FDG-PET Semi automatic Segmentation Methods for GTV Delineation in Laryngeal and Hypopharyngeal Cancer

International journal of radiation oncology, biology, physics, 2014-09, Vol.90 (1), p.S536-S536

2014

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SU‐E‐T‐184: LINAC Commissioning Measurements Utilizing the Cylindrical Arc Check Phantom

Medical Physics, 2012-06, Vol.39 (6), p.3745-3745

2012

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A Novel Hybrid Multimodal Registration for Lung Radiation Therapy Response Evaluation

International journal of radiation oncology, biology, physics, 2012-11, Vol.84 (3), p.S755-S756

2012

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Neck Volume as a Novel Surrogate to Trigger Adaptation for Head and Neck Radiotherapy

International journal of radiation oncology, biology, physics, 2024-10, Vol.120 (2), p.e96-e96

2024

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WE‐A‐217A‐07: Predicting Residual Disease for NSCLC Using Pre‐Radiotherapy 4D PET/CT

Medical Physics, 2012-06, Vol.39 (6), p.3937-3937

2012

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TU‐F‐CAMPUS‐J‐04: Setup Uncertainties in the Mediastinum Area for IMRT Treatment of Lymphoma Patients

Medical physics (Lancaster), 2015-06, Vol.42 (6Part35), p.3638-3638

2015

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TU‐A‐204B‐03: 3‐D Fiducial Localization with MV EPID Imaging during a RapidArc Therapy

Medical Physics, 2010-06, Vol.37 (6), p.3370-3370

2010

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SU‐EE‐A3‐04: A Superfluence Approach for EPID‐Guided 3D Dose Verification

Medical Physics, 2010-06, Vol.37 (6), p.3098-3098

2010

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SU‐GG‐J‐189: Use of a Clinically Relevant Digital PET Chest Phantom to Investigate the Threshold Required to Define a PET‐Based Target Volume

Medical Physics, 2008-06, Vol.35 (6), p.2723-2723

2008

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OC-0554: FDG-PET semi-automatic segmentation methods for GTV delineation in laryngeal and hypopharyngeal cancer

Radiotherapy and oncology, 2013-03, Vol.106, p.S212-S212

2013

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Investigation of the Clinical Utility of 4D FDG-PET/CT Scans In Radiation Treatment Planning

International journal of radiation oncology, biology, physics, 2010-11, Vol.78 (3), p.S539-S539

2010

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SU‐FF‐J‐67: Marker‐Less Verification of Respiratory‐Gated Radiotherapy for Lung Cancer

Medical Physics, 2009-06, Vol.36 (6), p.2491-2491

2009

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SU‐EE‐A3‐05: Mutual Information for Beams‐Eye‐View Lung Tumor Tracking Without Radiopaque Markers

Medical Physics, 2009-06, Vol.36 (6), p.2431-2431

2009

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Artificial Intelligence-Driven Measurement of Brain Metastases' SRS Response – A Comparison with Current Standards for Assessment

International journal of radiation oncology, biology, physics, 2022-11, Vol.114 (3), p.e104

2022

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SU‐E‐J‐95: Evaluation of Repeat Respiratory Gated PET Scans for the Assessment of Treatment Effectiveness

Medical Physics, 2011-06, Vol.38 (6), p.3464-3464

2011

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SU‐E‐J‐92: Dosimetric Evaluation of Treatment Delivery for Lung SBRT Using Respiratory Gated PET and In‐Treatment Imaging

Medical Physics, 2011-06, Vol.38 (6), p.3463-3463

2011

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TU‐E‐204B‐03: A Multiregion Algorithm for Robust Lung Tumor Tracking with Portal Image Sequences

Medical Physics, 2010-06, Vol.37 (6), p.3401-3402

2010

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SU‐EE‐A3‐06: Deformations in Tumor Volumes and High Uptake Sub‐Volumes Observed with 4D FDG‐PET

Medical Physics, 2010-06, Vol.37 (6), p.3098-3098

2010

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SU‐GG‐J‐137: Application of Unsupervised Spectral Clustering in 3D for PET Tumor Segmentation: A Digital Phantom Study

Medical Physics, 2010-06, Vol.37 (6), p.3177-3177

2010

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SP-0271: Deep learning for target volume segmentation in the head and neck region

A multi-region algorithm for markerless beam's-eye view lung tumor tracking

Development of a Radiomics-Based Survival Prediction Model for Cervical Cancer Patients

EPID-guided 3D dose verification of lung SBRT

Biological and Dosimetric Analysis of Locoregional Failure After IMRT for Head and Neck Cancer

The Effect Of Respiratory Motion On Pet Imaging Of Tumor Heterogeneity In Non-small Cell Lung Cancer (NSCLC)

FDG-PET Semi automatic Segmentation Methods for GTV Delineation in Laryngeal and Hypopharyngeal Cancer

SU‐E‐T‐184: LINAC Commissioning Measurements Utilizing the Cylindrical Arc Check Phantom

A Novel Hybrid Multimodal Registration for Lung Radiation Therapy Response Evaluation

Neck Volume as a Novel Surrogate to Trigger Adaptation for Head and Neck Radiotherapy

WE‐A‐217A‐07: Predicting Residual Disease for NSCLC Using Pre‐Radiotherapy 4D PET/CT

TU‐F‐CAMPUS‐J‐04: Setup Uncertainties in the Mediastinum Area for IMRT Treatment of Lymphoma Patients

TU‐A‐204B‐03: 3‐D Fiducial Localization with MV EPID Imaging during a RapidArc Therapy

SU‐EE‐A3‐04: A Superfluence Approach for EPID‐Guided 3D Dose Verification

SU‐GG‐J‐189: Use of a Clinically Relevant Digital PET Chest Phantom to Investigate the Threshold Required to Define a PET‐Based Target Volume

OC-0554: FDG-PET semi-automatic segmentation methods for GTV delineation in laryngeal and hypopharyngeal cancer

Investigation of the Clinical Utility of 4D FDG-PET/CT Scans In Radiation Treatment Planning

SU‐FF‐J‐67: Marker‐Less Verification of Respiratory‐Gated Radiotherapy for Lung Cancer

SU‐EE‐A3‐05: Mutual Information for Beams‐Eye‐View Lung Tumor Tracking Without Radiopaque Markers

Artificial Intelligence-Driven Measurement of Brain Metastases' SRS Response – A Comparison with Current Standards for Assessment

SU‐E‐J‐95: Evaluation of Repeat Respiratory Gated PET Scans for the Assessment of Treatment Effectiveness

SU‐E‐J‐92: Dosimetric Evaluation of Treatment Delivery for Lung SBRT Using Respiratory Gated PET and In‐Treatment Imaging

TU‐E‐204B‐03: A Multiregion Algorithm for Robust Lung Tumor Tracking with Portal Image Sequences

SU‐EE‐A3‐06: Deformations in Tumor Volumes and High Uptake Sub‐Volumes Observed with 4D FDG‐PET

SU‐GG‐J‐137: Application of Unsupervised Spectral Clustering in 3D for PET Tumor Segmentation: A Digital Phantom Study

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