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Tumor regression during radiotherapy for non-small cell lung cancer patients using cone-beam computed tomography images

Strahlentherapie und Onkologie, 2020-02, Vol.196 (2), p.159-171

2020

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A global calibration model for a ‐ Si EPIDs used for transit dosimetry

Medical physics (Lancaster), 2007-10, Vol.34 (10), p.3872-3884

2007

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PO-0922: Are planning CT radiomics and cone-beam CT radiomics interchangeable?

Radiotherapy and oncology, 2016-04, Vol.119, p.S446-S447

2016

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Can we replace high quality simulation CT by simple kVcone-beam CT images to extract an externally validated radiomics signature?

Radiotherapy and oncology, 2016-02, Vol.118, p.S107-S107

2016

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Interfractional trend analysis of dose differences based on 2D transit portal dosimetry

Physics in medicine & biology, 2012-10, Vol.57 (20), p.6445-6458

2012

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Clinical implementation of standardized neurocognitive assessment before and after radiation to the brain

Clinical and translational radiation oncology, 2023-09, Vol.42, p.100664-100664, Article 100664

2023

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Evaluation of third treatment week as temporal window for assessing responsiveness on repeated FDG-PET-CT scans in Non-Small Cell Lung Cancer patients

Physica medica, 2018-02, Vol.46, p.45-51

2018

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SP-0206: Tissue characterisation using quantitative radiomics

Radiotherapy and oncology, 2016-04, Vol.119, p.S94-S94

Van Elmpt, W

2016

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Is dual energy CT the next standard imaging modality for radiotherapy?

Radiotherapy and oncology, 2016-02, Vol.118, p.S107-S107

van Elmpt, W

2016

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Experimental verification of a portal dose prediction model

Medical physics (Lancaster), 2005-09, Vol.32 (9), p.2805-2818

2005

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SP-0643: Anatomical and functional imaging based adaptive radiotherapy for lung tumours

Radiotherapy and oncology, 2014, Vol.111, p.S248-S248

Van Elmpt, W

2014

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Prediction of DVH parameter changes due to setup errors for breast cancer treatment based on 2D portal dosimetry

Medical physics (Lancaster), 2009-01, Vol.36 (1), p.83-94

2009

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Can radiomics help to predict skeletal muscle response to chemotherapy in stage IV non-small cell lung cancer?

European journal of cancer (1990), 2019-10, Vol.120, p.107-113

2019

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Current applications of deep-learning in neuro-oncological MRI

Physica medica, 2021-03, Vol.83, p.161-173

2021

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Interchangeability of a Radiomic Signature Between Conventional and Weekly Cone Beam Computed Tomography Allowing Response Prediction in Non-Small Cell Lung Cancer

International journal of radiation oncology, biology, physics, 2016-10, Vol.96 (2), p.S193-S193

2016

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SP-1003 How to quantify the added value of automated (artificial intelligence) based RT workflows in 2030

Radiotherapy and oncology, 2023-05, Vol.182, p.S838-S838

van Elmpt, W.

2023

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PO-0877: Baseline CT image and isodose shape features improve prognostic models for dyspnea after RT in NSCLC

Radiotherapy and oncology, 2016-04, Vol.119, p.S420-S420

2016

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SP-0053 LUNG

Radiotherapy and oncology, 2012-05, Vol.103, p.S21-S21

van Elmpt, W

2012

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SP-0037

Radiotherapy and oncology, 2022-05, Vol.170, p.S753-S753

van Elmpt, W.

2022

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OC-0252: Accurate prediction of PTV and OAR doses for doseescalation of non-small cell lung cancer patients

Radiotherapy and oncology, 2015-04, Vol.115, p.S127-S128

2015

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Characterization of tumor heterogeneity using dynamic contrast enhanced CT and FDG-PET in non-small cell lung cancer

Radiotherapy and oncology, 2013-10, Vol.109 (1), p.65-70

2013

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Current preclinical and clinical applications of hypoxia PET imaging using 2-nitroimidazoles

The quarterly journal of nuclear medicine and molecular imaging, 2015-03, Vol.59 (1), p.39

2015

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TU-AB-202-10: How Effective Are Current Atlas Selection Methods for Atlas-Based Auto-Contouring in Radiotherapy Planning?

Medical physics (Lancaster), 2016-06, Vol.43 (6), p.3738-3739

2016

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576 speaker PATIENT-SPECIFIC QA FOR ADAPTIVE RADIOTHERAPY

Radiotherapy and oncology, 2011, Vol.99, p.S234-S234

van Elmpt, W

2011

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SU‐E‐J‐173: Evaluation of Deformable Registration for Correcting Respiratory Motion in 4DCT Lung Images

Medical physics (Lancaster), 2014-06, Vol.41 (6Part9), p.196-196

2014

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Tumor regression during radiotherapy for non-small cell lung cancer patients using cone-beam computed tomography images

A global calibration model for a ‐ Si EPIDs used for transit dosimetry

PO-0922: Are planning CT radiomics and cone-beam CT radiomics interchangeable?

Can we replace high quality simulation CT by simple kVcone-beam CT images to extract an externally validated radiomics signature?

Interfractional trend analysis of dose differences based on 2D transit portal dosimetry

Clinical implementation of standardized neurocognitive assessment before and after radiation to the brain

Evaluation of third treatment week as temporal window for assessing responsiveness on repeated FDG-PET-CT scans in Non-Small Cell Lung Cancer patients

SP-0206: Tissue characterisation using quantitative radiomics

Is dual energy CT the next standard imaging modality for radiotherapy?

Experimental verification of a portal dose prediction model

SP-0643: Anatomical and functional imaging based adaptive radiotherapy for lung tumours

Prediction of DVH parameter changes due to setup errors for breast cancer treatment based on 2D portal dosimetry

Can radiomics help to predict skeletal muscle response to chemotherapy in stage IV non-small cell lung cancer?

Current applications of deep-learning in neuro-oncological MRI

Interchangeability of a Radiomic Signature Between Conventional and Weekly Cone Beam Computed Tomography Allowing Response Prediction in Non-Small Cell Lung Cancer

SP-1003 How to quantify the added value of automated (artificial intelligence) based RT workflows in 2030

PO-0877: Baseline CT image and isodose shape features improve prognostic models for dyspnea after RT in NSCLC

SP-0053 LUNG

SP-0037

OC-0252: Accurate prediction of PTV and OAR doses for doseescalation of non-small cell lung cancer patients

Characterization of tumor heterogeneity using dynamic contrast enhanced CT and FDG-PET in non-small cell lung cancer

Current preclinical and clinical applications of hypoxia PET imaging using 2-nitroimidazoles

TU-AB-202-10: How Effective Are Current Atlas Selection Methods for Atlas-Based Auto-Contouring in Radiotherapy Planning?

576 speaker PATIENT-SPECIFIC QA FOR ADAPTIVE RADIOTHERAPY

SU‐E‐J‐173: Evaluation of Deformable Registration for Correcting Respiratory Motion in 4DCT Lung Images

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