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Large-scale Radiomic Profiling of Recurrent Glioblastoma Identifies an Imaging Predictor for Stratifying Anti-Angiogenic Treatment Response

Clinical cancer research, 2016-12, Vol.22 (23), p.5765-5771

2016

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A Novel Concept for Self-Reporting Materials: Stress Sensitive Photoluminescence in ZnO Tetrapod Filled Elastomers

Advanced materials (Weinheim), 2013-03, Vol.25 (9), p.1342-1347

2013

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Self-supervised pre-training with contrastive and masked autoencoder methods for dealing with small datasets in deep learning for medical imaging

Scientific reports, 2023-11, Vol.13 (1), p.20260-20260, Article 20260

2023

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Prediction of malignancy by a radiomic signature from contrast agent‐free diffusion MRI in suspicious breast lesions found on screening mammography

Journal of magnetic resonance imaging, 2017-08, Vol.46 (2), p.604-616

2017

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Development and Validation of an Automatic Segmentation Algorithm for Quantification of Intracerebral Hemorrhage

Stroke (1970), 2016-11, Vol.47 (11), p.2776-2782

2016

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Soziales Engagement politisch denken: Chancen für Politische Bildung

1, 2015

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A CRR2-Dependent sRNA Sequence Supports Papillomavirus Vaccine Expression in Tobacco Chloroplasts

Metabolites, 2023-02, Vol.13 (3), p.315

2023

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Weakly Supervised Learning with Positive and Unlabeled Data for Automatic Brain Tumor Segmentation

Applied sciences, 2022-11, Vol.12 (21), p.10763

2022

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Artificial intelligence in coronary computed tomography angiography: Demands and solutions from a clinical perspective

Frontiers in cardiovascular medicine, 2023-02, Vol.10, p.1120361

2023

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Longitudinal CT Imaging to Explore the Predictive Power of 3D Radiomic Tumour Heterogeneity in Precise Imaging of Mantle Cell Lymphoma (MCL)

Cancers, 2022-01, Vol.14 (2), p.393

2022

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Vulnerability of spruce (Picea abies) and beech (Fagus sylvatica) forest stands to storms and consequences for silviculture

European journal of forest research, 2006-07, Vol.125 (3), p.291-302

2006

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A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting

Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015, p.45-52

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PAR modulation of the UV-dependent levels of flavonoid metabolites in Arabidopsis thaliana (L.) Heynh. leaf rosettes: cumulative effects after a whole vegetative growth period

Protoplasma, 2010-07, Vol.243 (1-4), p.95-103

2010

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MITK Phenotyping: An open-source toolchain for image-based personalized medicine with radiomics

Radiotherapy and oncology, 2019-02, Vol.131, p.108-111

2019

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Radiomic Profiling of Glioblastoma: Identifying an Imaging Predictor of Patient Survival with Improved Performance over Established Clinical and Radiologic Risk Models

Radiology, 2016-09, Vol.280 (3), p.880

2016

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Communities of Practice for Functional Learning in Agile Contexts: Definition Approach and Call for Research

International journal of advanced corporate learning, 2021-06, Vol.14 (1), p.62

2021

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The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

Radiology, 2020-05, Vol.295 (2), p.328-338

2020

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Editorial for "Multi-Phase MRI-Based Radiomics for Predicting Histological Grade of Hepatocellular Carcinoma"

Journal of magnetic resonance imaging, 2024-02

2024

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Optimal Statistical Incorporation of Independent Feature Stability Information into Radiomics Studies

Scientific reports, 2020-01, Vol.10 (1), p.737-737, Article 737

2020

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Radiomic subtyping improves disease stratification beyond key molecular, clinical, and standard imaging characteristics in patients with glioblastoma

Neuro-oncology (Charlottesville, Va.), 2018-05, Vol.20 (6), p.848-857

2018

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Photoelastic Imaging of Residual Stress Distribution in Epoxy Interface Layers of Ceramics with Periodic Building-Block Structure

Advanced engineering materials, 2013-11, Vol.15 (11), p.1099-1104

2013

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Early postoperative delineation of residual tumor after low-grade glioma resection by probabilistic quantification of diffusion-weighted imaging

Journal of neurosurgery, 2019-06, Vol.130 (6), p.2016-2024

2019

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In Vivo Repeatability and Multiscanner Reproducibility of MRI Radiomics Features in Patients With Monoclonal Plasma Cell Disorders: A Prospective Bi-institutional Study

Investigative radiology, 2023-04, Vol.58 (4), p.253

2023

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Volumetric Evaluation of 3D Multi-Gradient-Echo MRI Data to Assess Whole Liver Iron Distribution by Segmental R2 Analysis: First Experience

RöFo : Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebende Verfahren, 2023-03, Vol.195 (3), p.224

2023

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Miteinander, voneinander und übereinander lernen: Politische Bildung intergenerationell

Politische Bildung, 2012 (2), p.25-33

2012

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Large-scale Radiomic Profiling of Recurrent Glioblastoma Identifies an Imaging Predictor for Stratifying Anti-Angiogenic Treatment Response

A Novel Concept for Self-Reporting Materials: Stress Sensitive Photoluminescence in ZnO Tetrapod Filled Elastomers

Self-supervised pre-training with contrastive and masked autoencoder methods for dealing with small datasets in deep learning for medical imaging

Prediction of malignancy by a radiomic signature from contrast agent‐free diffusion MRI in suspicious breast lesions found on screening mammography

Development and Validation of an Automatic Segmentation Algorithm for Quantification of Intracerebral Hemorrhage

Soziales Engagement politisch denken: Chancen für Politische Bildung

A CRR2-Dependent sRNA Sequence Supports Papillomavirus Vaccine Expression in Tobacco Chloroplasts

Weakly Supervised Learning with Positive and Unlabeled Data for Automatic Brain Tumor Segmentation

Artificial intelligence in coronary computed tomography angiography: Demands and solutions from a clinical perspective

Longitudinal CT Imaging to Explore the Predictive Power of 3D Radiomic Tumour Heterogeneity in Precise Imaging of Mantle Cell Lymphoma (MCL)

Vulnerability of spruce (Picea abies) and beech (Fagus sylvatica) forest stands to storms and consequences for silviculture

A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting

PAR modulation of the UV-dependent levels of flavonoid metabolites in Arabidopsis thaliana (L.) Heynh. leaf rosettes: cumulative effects after a whole vegetative growth period

MITK Phenotyping: An open-source toolchain for image-based personalized medicine with radiomics

Radiomic Profiling of Glioblastoma: Identifying an Imaging Predictor of Patient Survival with Improved Performance over Established Clinical and Radiologic Risk Models

Communities of Practice for Functional Learning in Agile Contexts: Definition Approach and Call for Research

The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

Editorial for "Multi-Phase MRI-Based Radiomics for Predicting Histological Grade of Hepatocellular Carcinoma"

Optimal Statistical Incorporation of Independent Feature Stability Information into Radiomics Studies

Radiomic subtyping improves disease stratification beyond key molecular, clinical, and standard imaging characteristics in patients with glioblastoma

Photoelastic Imaging of Residual Stress Distribution in Epoxy Interface Layers of Ceramics with Periodic Building-Block Structure

Early postoperative delineation of residual tumor after low-grade glioma resection by probabilistic quantification of diffusion-weighted imaging

In Vivo Repeatability and Multiscanner Reproducibility of MRI Radiomics Features in Patients With Monoclonal Plasma Cell Disorders: A Prospective Bi-institutional Study

Volumetric Evaluation of 3D Multi-Gradient-Echo MRI Data to Assess Whole Liver Iron Distribution by Segmental R2 Analysis: First Experience

Miteinander, voneinander und übereinander lernen: Politische Bildung intergenerationell

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