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SP-0526 OPPORTUNITIES OF DOSE MODIFIERS: ILLUSTRATING THE CONCEPTS AND OUTLINING THE FUTURE

Radiotherapy and oncology, 2012-05, Vol.103, p.S211-S211

Vens, C

2012

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SP-1026 Against the motion

Radiotherapy and oncology, 2023-05, Vol.182, p.S841-S841

Vens, C.

2023

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Study protocols of three parallel phase 1 trials combining radical radiotherapy with the PARP inhibitor olaparib

BMC cancer, 2019-09, Vol.19 (1), p.901-13, Article 901

2019

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A joint physics and radiobiology DREAM team vision – Towards better response prediction models to advance radiotherapy

Radiotherapy and oncology, 2024-07, Vol.196, p.110277-110277, Article 110277

2024

Volltextzugriff (PDF)

Micro cone beam computed tomography for sensitive assessment of radiation-induced late lung toxicity in preclinical models

Radiotherapy and oncology, 2019-09, Vol.138, p.17-24

2019

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SP-0390: Radiotherapy and targeted drugs: which and how many pathway(s) to target?

Radiotherapy and oncology, 2013-03, Vol.106, p.S151-S151

2013

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OC-0258: Linear-quadratic modeling of acute rectum toxicity in a prostate hypo-fractionation trial

Radiotherapy and oncology, 2016-04, Vol.119, p.S119-S119

2016

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OC-0339: More acute proctitis symptoms with hypofractionation (3.4 Gy) than 2 Gy fractions

Radiotherapy and oncology, 2016-04, Vol.119, p.S155-S156

2016

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351 Sensitive pharmacodynamic assessment of PARP inhibitors for individualized treatment in clinic

European journal of cancer (1990), 2015-09, Vol.51, p.S71-S71

2015

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Results of phase I trials combining PARP inhibition and radiotherapy in multiple sites

Radiotherapy and oncology, 2016-04, Vol.119, p.S138-S138

2016

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SP-0208: Validation of imaging with histology: implications for dose prescriptions

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

2016

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PO-0713: Pathology of CTV of prostate cancer: implications for the dose to the tumor and the gland

Radiotherapy and oncology, 2015-04, Vol.115, p.S351-S351

2015

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PD-0427: A pharmacodynamic assay to assess the radiosensitizing potential of PARP inhibitors in clinical trials

Radiotherapy and oncology, 2014, Vol.111, p.S170-S170

2014

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OC-0051: Towards the clinic: application of μ-IGRT for assessment of radiationinduced pneumonitis and pulmonary fibrosis

Radiotherapy and oncology, 2014, Vol.111, p.S19-S19

2014

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P0-42: Targeting NAD+ Biosynthesis Combined with Radiation to Enhance Cell Death

Radiotherapy and oncology, 2012-09, Vol.104, p.34-34

2012

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OC-0617: The PARP inhibitor olaparib is effective as radiosensitizer at 10-fold lower doses than as single agent

Radiotherapy and oncology, 2015-04, Vol.115, p.S298-S299

2015

Volltextzugriff (PDF)

PD-0426: Homologous recombination repair deficient tumor cells exhibit increased radiosensitization by PARP inhibition

Radiotherapy and oncology, 2014, Vol.111, p.S170-S170

2014

Volltextzugriff (PDF)

Scatteract: Automated Extraction of Data from Scatter Plots

Machine Learning and Knowledge Discovery in Databases, p.135-150

Volltextzugriff (PDF)

A Simple Exponential Family Framework for Zero-Shot Learning

Machine Learning and Knowledge Discovery in Databases, p.792-808

Volltextzugriff (PDF)

OC-0068 THE NAD+ DEPLETING AGENT APO866 ENHANCES CELL DEATH WHEN COMBINED WITH RADIATION

Radiotherapy and oncology, 2012-05, Vol.103, p.S27-S28

2012

Volltextzugriff (PDF)

OC-0483: DNA repair defects in squamous cell carcinomas of the head and neck

Radiotherapy and oncology, 2014, Vol.111, p.S189-S189

2014

Volltextzugriff (PDF)

Echocardiographic phenogrouping by machine learning for risk stratification in the general population

European heart journal, 2020-11, Vol.41 (Supplement_2)

2020

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Robust, Deep and Inductive Anomaly Detection

Machine Learning and Knowledge Discovery in Databases, p.36-51

Volltextzugriff (PDF)

PowerCast: Mining and Forecasting Power Grid Sequences

Machine Learning and Knowledge Discovery in Databases, p.606-621

Volltextzugriff (PDF)

Unsupervised Diverse Colorization via Generative Adversarial Networks

Machine Learning and Knowledge Discovery in Databases, p.151-166

Volltextzugriff (PDF)

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SP-0526 OPPORTUNITIES OF DOSE MODIFIERS: ILLUSTRATING THE CONCEPTS AND OUTLINING THE FUTURE

SP-1026 Against the motion

Study protocols of three parallel phase 1 trials combining radical radiotherapy with the PARP inhibitor olaparib

A joint physics and radiobiology DREAM team vision – Towards better response prediction models to advance radiotherapy

Micro cone beam computed tomography for sensitive assessment of radiation-induced late lung toxicity in preclinical models

SP-0390: Radiotherapy and targeted drugs: which and how many pathway(s) to target?

OC-0258: Linear-quadratic modeling of acute rectum toxicity in a prostate hypo-fractionation trial

OC-0339: More acute proctitis symptoms with hypofractionation (3.4 Gy) than 2 Gy fractions

351 Sensitive pharmacodynamic assessment of PARP inhibitors for individualized treatment in clinic

Results of phase I trials combining PARP inhibition and radiotherapy in multiple sites

SP-0208: Validation of imaging with histology: implications for dose prescriptions

PO-0713: Pathology of CTV of prostate cancer: implications for the dose to the tumor and the gland

PD-0427: A pharmacodynamic assay to assess the radiosensitizing potential of PARP inhibitors in clinical trials

OC-0051: Towards the clinic: application of μ-IGRT for assessment of radiationinduced pneumonitis and pulmonary fibrosis

P0-42: Targeting NAD+ Biosynthesis Combined with Radiation to Enhance Cell Death

OC-0617: The PARP inhibitor olaparib is effective as radiosensitizer at 10-fold lower doses than as single agent

PD-0426: Homologous recombination repair deficient tumor cells exhibit increased radiosensitization by PARP inhibition

Scatteract: Automated Extraction of Data from Scatter Plots

A Simple Exponential Family Framework for Zero-Shot Learning

OC-0068 THE NAD+ DEPLETING AGENT APO866 ENHANCES CELL DEATH WHEN COMBINED WITH RADIATION

OC-0483: DNA repair defects in squamous cell carcinomas of the head and neck

Echocardiographic phenogrouping by machine learning for risk stratification in the general population

Robust, Deep and Inductive Anomaly Detection

PowerCast: Mining and Forecasting Power Grid Sequences

Unsupervised Diverse Colorization via Generative Adversarial Networks

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