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SP-003: Radiomics: the poor man molecular imaging?

Radiotherapy and oncology, 2017-03, Vol.122, p.6-6

Lambin, P

2017

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SP-0353: Initiating and maintaining meaningful collaborations: a requirement for good sciences! - A guide for dummies

Radiotherapy and oncology, 2015-04, Vol.115, p.S172-S172

Lambin, P

2015

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Radiomics for precision medicine: Current challenges, future prospects, and the proposal of a new framework

Methods (San Diego, Calif.), 2021-04, Vol.188, p.20-29

2021

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How do changes in the mtDNA and mitochondrial dysfunction influence cancer and cancer therapy? Challenges, opportunities and models

Mutation research. Reviews in mutation research, 2015-04, Vol.764, p.16-30

2015

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SP-18: Radiomics: A New Paradigm in the Analysis Of Medical Imaging Data

Radiotherapy and oncology, 2012-09, Vol.104, p.27-27

Lambin, P

2012

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SP-0357 Radiomics to predict outcomes of patients treated with immunotherapy combinations

Radiotherapy and oncology, 2023-05, Vol.182, p.S275-S275

Lambin, P.

2023

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TH‐B‐224‐03: FDG for Dose Painting: A Rational Choice

Medical Physics, 2011-06, Vol.38 (6), p.3848-3849

Lambin, P

2011

Volltextzugriff (PDF)

The application of artificial intelligence in the detection of basal cell carcinoma: A systematic review

Journal of the European Academy of Dermatology and Venereology, 2023-06, Vol.37 (6), p.1160-1167

2023

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Eligibility for concurrent chemotherapy and radiotherapy of locally advanced lung cancer patients: a prospective, population-based study

Annals of oncology, 2009-01, Vol.20 (1), p.98-102

2009

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The REQUITE Project: Validating Predictive Models and Biomarkers of Radiotherapy Toxicity to Reduce Side-effects and Improve Quality of Life in Cancer Survivors

Clinical oncology (Royal College of Radiologists (Great Britain)), 2014-12, Vol.26 (12), p.739-742

2014

Volltextzugriff (PDF)

SP-0111: Response prediction in rectal cancer using PET Radiomics

Radiotherapy and oncology, 2016-04, Vol.119, p.S51-S51

2016

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Intratumor genetic heterogeneity and head and neck cancer relapse

Radiotherapy and oncology, 2024-02, Vol.191, p.110087-110087, Article 110087

2024

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The search for genetic predictors of radiotherapy response

Radiotherapy and oncology, 2016-02, Vol.118, p.S30-S31

2016

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Test–Retest Data for the Assessment of Breast MRI Radiomic Feature Repeatability

Journal of magnetic resonance imaging, 2022-08, Vol.56 (2), p.592-604

2022

Volltextzugriff (PDF)

SP-102: Radiomics: transforming standard imaging into mineable data related for diagnostic and theragnostic applications

Radiotherapy and oncology, 2019-12, Vol.141, p.S42-S43

Lambin, P.

2019

Volltextzugriff (PDF)

Can Individualized Isotoxic Dose Prescription Improve the Therapeutic Ratio of Stereotactic Radiation Therapy in Large Brain Metastases?

International journal of radiation oncology, biology, physics, 2016-10, Vol.96 (2), p.E576-E576

2016

Volltextzugriff (PDF)

Radiomics for Predicting Lung Cancer Outcomes Following Radiotherapy: A Systematic Review

Clinical oncology (Royal College of Radiologists (Great Britain)), 2022-03, Vol.34 (3), p.e107-e122

2022

Volltextzugriff (PDF)

SP-004 Against the motion

Radiotherapy and oncology, 2019-03, Vol.132, p.6-6

Lambin, P.

2019

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Nomograms to predict survival and the risk for developing local or distant recurrence in patients with rectal cancer treated with optional short-term radiotherapy

Annals of oncology, 2015-05, Vol.26 (5), p.928-935

2015

Volltextzugriff (PDF)

Different prognostic models for different patient populations: validation of a new prognostic model for patients with oropharyngeal cancer in Western Europe

British journal of cancer, 2015-05, Vol.112 (11), p.1733-1736

2015

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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

Volltextzugriff (PDF)

SP-0575: Radiotherapy combined with immunotherapy: present status and future perspectives

Radiotherapy and oncology, 2016-04, Vol.119, p.S276-S277

2016

Volltextzugriff (PDF)

To Improve Personalization of Radiation Therapy Via Scripted In Silico Trials

International journal of radiation oncology, biology, physics, 2016-10, Vol.96 (2), p.E670-E670

2016

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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

Volltextzugriff (PDF)

Towards texture accurate slice interpolation of medical images using PixelMiner

Computers in biology and medicine, 2023-07, Vol.161, p.106701-106701, Article 106701

2023

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SP-003: Radiomics: the poor man molecular imaging?

SP-0353: Initiating and maintaining meaningful collaborations: a requirement for good sciences! - A guide for dummies

Radiomics for precision medicine: Current challenges, future prospects, and the proposal of a new framework

How do changes in the mtDNA and mitochondrial dysfunction influence cancer and cancer therapy? Challenges, opportunities and models

SP-18: Radiomics: A New Paradigm in the Analysis Of Medical Imaging Data

SP-0357 Radiomics to predict outcomes of patients treated with immunotherapy combinations

TH‐B‐224‐03: FDG for Dose Painting: A Rational Choice

The application of artificial intelligence in the detection of basal cell carcinoma: A systematic review

Eligibility for concurrent chemotherapy and radiotherapy of locally advanced lung cancer patients: a prospective, population-based study

The REQUITE Project: Validating Predictive Models and Biomarkers of Radiotherapy Toxicity to Reduce Side-effects and Improve Quality of Life in Cancer Survivors

SP-0111: Response prediction in rectal cancer using PET Radiomics

Intratumor genetic heterogeneity and head and neck cancer relapse

The search for genetic predictors of radiotherapy response

Test–Retest Data for the Assessment of Breast MRI Radiomic Feature Repeatability

SP-102: Radiomics: transforming standard imaging into mineable data related for diagnostic and theragnostic applications

Can Individualized Isotoxic Dose Prescription Improve the Therapeutic Ratio of Stereotactic Radiation Therapy in Large Brain Metastases?

Radiomics for Predicting Lung Cancer Outcomes Following Radiotherapy: A Systematic Review

SP-004 Against the motion

Nomograms to predict survival and the risk for developing local or distant recurrence in patients with rectal cancer treated with optional short-term radiotherapy

Different prognostic models for different patient populations: validation of a new prognostic model for patients with oropharyngeal cancer in Western Europe

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

SP-0575: Radiotherapy combined with immunotherapy: present status and future perspectives

To Improve Personalization of Radiation Therapy Via Scripted In Silico Trials

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

Towards texture accurate slice interpolation of medical images using PixelMiner

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