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Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study

PLoS medicine, 2018-11, Vol.15 (11), p.e1002711

2018

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Artificial intelligence in radiology

Nature reviews. Cancer, 2018-08, Vol.18 (8), p.500

2018

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A Review of Risk Perceptions and Other Factors that Influence Flood Mitigation Behavior

Risk analysis, 2012-09, Vol.32 (9), p.1481-1495

2012

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Effect of uncertainty in land use, damage models and inundation depth on flood damage estimates

Natural hazards (Dordrecht), 2011-07, Vol.58 (1), p.407-425

2011

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Water Scarcity Hotspots Travel Downstream Due to Human Interventions in the 20th and 21st Century

Nature communications, 2017-06, Vol.8 (15697), p.15697-15697, Article 15697

2017

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Comparative flood damage model assessment: towards a European approach

Natural hazards and earth system sciences, 2012-12, Vol.12 (12), p.3733-3752

2012

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FLOPROS: an evolving global database of flood protection standards

Natural hazards and earth system sciences, 2016-05, Vol.16 (5), p.1049-1061

2016

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Robust Radiomics feature quantification using semiautomatic volumetric segmentation

PloS one, 2014-07, Vol.9 (7), p.e102107-e102107

2014

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Integrated Direct and Indirect Flood Risk Modeling: Development and Sensitivity Analysis

Risk analysis, 2015-05, Vol.35 (5), p.882-900

2015

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Detailed insights into the influence of flood-coping appraisals on mitigation behaviour

Global environmental change, 2013-10, Vol.23 (5), p.1327-1338

2013

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Peritumoral radiomics features predict distant metastasis in locally advanced NSCLC

PloS one, 2018-11, Vol.13 (11), p.e0206108-e0206108

2018

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A novel feature for monitoring the enzymatic harvesting process of adherent cell cultures based on lens-free imaging

Scientific reports, 2022-12, Vol.12 (1), p.22202-22202, Article 22202

2022

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Quantitative imaging of cancer in the postgenomic era: Radio(geno)mics, deep learning, and habitats

Cancer, 2018-12, Vol.124 (24), p.4633-4649

2018

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Deep learning classification of lung cancer histology using CT images

Scientific reports, 2021-03, Vol.11 (1), p.5471-5471, Article 5471

2021

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Associations of Radiomic Data Extracted from Static and Respiratory-Gated CT Scans with Disease Recurrence in Lung Cancer Patients Treated with SBRT

PloS one, 2017-01, Vol.12 (1), p.e0169172-e0169172

2017

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Sensitivity of water scarcity events to ENSO-driven climate variability at the global scale

Hydrology and earth system sciences, 2015-10, Vol.19 (10), p.4081-4098

2015

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The smell of lung disease: a review of the current status of electronic nose technology

Respiratory research, 2021-09, Vol.22 (1), p.246-246, Article 246

2021

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Artificial intelligence in radiation oncology

Nature reviews. Clinical oncology, 2020-12, Vol.17 (12), p.771-781

2020

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Willingness of homeowners to mitigate climate risk through insurance

Ecological economics, 2009-06, Vol.68 (8), p.2265-2277

2009

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PD-L1+ lung cancer stem cells modify the metastatic lymph-node immunomicroenvironment in nsclc patients

Cancer Immunology, Immunotherapy, 2021-02, Vol.70 (2), p.453-461

2021

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Inconsistency in large pharmacogenomic studies

Nature (London), 2013-12, Vol.504 (7480), p.389-393

2013

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Prediction of response to pemetrexed in non-small-cell lung cancer with immunohistochemical phenotyping based on gene expression profiles

BMC cancer, 2019-05, Vol.19 (1), p.440-440, Article 440

2019

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Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer

Scientific reports, 2017-08, Vol.7 (1), p.10117-10117, Article 10117

2017

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Long-term development and effectiveness of private flood mitigation measures: an analysis for the German part of the river Rhine

Natural hazards and earth system sciences, 2012-11, Vol.12 (11), p.3507-3518

2012

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Patient expectations, experiences and satisfaction with nintedanib and pirfenidone in idiopathic pulmonary fibrosis: a quantitative study

Respiratory research, 2020-07, Vol.21 (1), p.1-196, Article 196

2020

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Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study

Artificial intelligence in radiology

A Review of Risk Perceptions and Other Factors that Influence Flood Mitigation Behavior

Effect of uncertainty in land use, damage models and inundation depth on flood damage estimates

Water Scarcity Hotspots Travel Downstream Due to Human Interventions in the 20th and 21st Century

Comparative flood damage model assessment: towards a European approach

FLOPROS: an evolving global database of flood protection standards

Robust Radiomics feature quantification using semiautomatic volumetric segmentation

Integrated Direct and Indirect Flood Risk Modeling: Development and Sensitivity Analysis

Detailed insights into the influence of flood-coping appraisals on mitigation behaviour

Peritumoral radiomics features predict distant metastasis in locally advanced NSCLC

A novel feature for monitoring the enzymatic harvesting process of adherent cell cultures based on lens-free imaging

Quantitative imaging of cancer in the postgenomic era: Radio(geno)mics, deep learning, and habitats

Deep learning classification of lung cancer histology using CT images

Associations of Radiomic Data Extracted from Static and Respiratory-Gated CT Scans with Disease Recurrence in Lung Cancer Patients Treated with SBRT

Sensitivity of water scarcity events to ENSO-driven climate variability at the global scale

The smell of lung disease: a review of the current status of electronic nose technology

Artificial intelligence in radiation oncology

Willingness of homeowners to mitigate climate risk through insurance

PD-L1+ lung cancer stem cells modify the metastatic lymph-node immunomicroenvironment in nsclc patients

Inconsistency in large pharmacogenomic studies

Prediction of response to pemetrexed in non-small-cell lung cancer with immunohistochemical phenotyping based on gene expression profiles

Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer

Long-term development and effectiveness of private flood mitigation measures: an analysis for the German part of the river Rhine

Patient expectations, experiences and satisfaction with nintedanib and pirfenidone in idiopathic pulmonary fibrosis: a quantitative study

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