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Pre-treatment 18F-FDG-PET/CT parameters as biomarkers for progression free survival, best overall response and overall survival in metastatic melanoma patients undergoing first-line immunotherapy

PloS one, 2024-01, Vol.19 (1), p.e0296253-e0296253

2024

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Can Delta Radiomics Improve the Prediction of Best Overall Response, Progression-Free Survival, and Overall Survival of Melanoma Patients Treated with Immune Checkpoint Inhibitors?

Cancers, 2024-08, Vol.16 (15), p.2669

2024

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Combination of Whole-Body Baseline CT Radiomics and Clinical Parameters to Predict Response and Survival in a Stage-IV Melanoma Cohort Undergoing Immunotherapy

Cancers, 2022-06, Vol.14 (12), p.2992

2022

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Radiomics Features of the Spleen as Surrogates for CT-Based Lymphoma Diagnosis and Subtype Differentiation

Cancers, 2022-01, Vol.14 (3), p.713

2022

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Segmentation-Based Partial Volume Correction for Volume Estimation of Solid Lesions in CT

IEEE transactions on medical imaging, 2014-02, Vol.33 (2), p.462-480

2014

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MRI-based radiomic feature analysis of end-stage liver disease for severity stratification

International journal for computer assisted radiology and surgery, 2021-03, Vol.16 (3), p.457-466

2021

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Quantitative Imaging Biomarkers of the Whole Liver Tumor Burden Improve Survival Prediction in Metastatic Pancreatic Cancer

Cancers, 2021-11, Vol.13 (22), p.5732

2021

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Can Whole-Body Baseline CT Radiomics Add Information to the Prediction of Best Response, Progression-Free Survival, and Overall Survival of Stage IV Melanoma Patients Receiving First-Line Targeted Therapy: A Retrospective Register Study

Diagnostics (Basel), 2023-10, Vol.13 (20), p.3210

2023

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Sketch-Based Editing Tools for Tumour Segmentation in 3D Medical Images

Computer graphics forum, 2013-12, Vol.32 (8), p.144-157

2013

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Inferring 3D finger bone shapes from 2D images – a detailed analysis of shape accuracy

Computer methods in biomechanics and biomedical engineering., 2024-12, Vol.12 (1)

2024

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Determination of lung segments in computed tomography images using the Euclidean distance to the pulmonary artery

Medical physics (Lancaster), 2013-09, Vol.40 (9), p.091912-n/a

2013

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On the evaluation of segmentation editing tools

Journal of medical imaging (Bellingham, Wash.), 2014-10, Vol.1 (3), p.034005-034005

2014

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Toward Automated Validation of Sketch-Based 3D Segmentation Editing Tools

Image Analysis, p.256-265

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Robust Intensity-based Initialization for 2D-3D Pelvis Registration (RobIn)

Bildverarbeitung für die Medizin 2022, 2022, p.69-74

2022

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Advanced Segmentation Techniques for Lung Nodules, Liver Metastases, and Enlarged Lymph Nodes in CT Scans

IEEE journal of selected topics in signal processing, 2009-02, Vol.3 (1), p.122-134

2009

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Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge

Medical image analysis, 2022-11, Vol.82, p.102605-102605, Article 102605

2022

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Correlation Between SUVmax and CT Radiomic Analysis Using Lymph Node Density in PET/CT-Based Lymph Node Staging

The Journal of nuclear medicine (1978), 2017-02, Vol.58 (2), p.282-287

2017

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Efficient Registration of Longitudinal Studies for Follow-Up Lesion Assessment by Exploiting Redundancy and Composition of Deformations

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.91-99

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Radiomic Analysis using Density Threshold for FDG-PET/CT-Based N-Staging in Lung Cancer Patients

Molecular imaging and biology, 2017-04, Vol.19 (2), p.315-322

2017

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The International Radiomics Platform - An Initiative of the German and Austrian Radiological Societies - First Application Examples

RöFo : Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebende Verfahren, 2021-03, Vol.193 (3), p.276

2021

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Correlation Between SUV sub( max) and CT Radiomic Analysis Using Lymph Node Density in PET/CT-Based Lymph Node Staging

The Journal of nuclear medicine (1978), 2017-02, Vol.58 (2), p.282-282

2017

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Correlation Between SUV max and CT Radiomic Analysis Using Lymph Node Density in PET/CT-Based Lymph Node Staging

Journal of Nuclear Medicine, 2017-02, Vol.58 (2), p.282-287

2017

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Correlation Between SUV^sub max^ and CT Radiomic Analysis Using Lymph Node Density in PET/CT-Based Lymph Node Staging

The Journal of nuclear medicine (1978), 2017-02, Vol.58 (2), p.282

2017

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DTI segmentation via the combined analysis of connectivity maps and tensor distances

NeuroImage (Orlando, Fla.), 2012-04, Vol.60 (2), p.1025-1035

2012

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Pre-treatment 18F-FDG-PET/CT parameters as biomarkers for progression free survival, best overall response and overall survival in metastatic melanoma patients undergoing first-line immunotherapy

Can Delta Radiomics Improve the Prediction of Best Overall Response, Progression-Free Survival, and Overall Survival of Melanoma Patients Treated with Immune Checkpoint Inhibitors?

Combination of Whole-Body Baseline CT Radiomics and Clinical Parameters to Predict Response and Survival in a Stage-IV Melanoma Cohort Undergoing Immunotherapy

Radiomics Features of the Spleen as Surrogates for CT-Based Lymphoma Diagnosis and Subtype Differentiation

Segmentation-Based Partial Volume Correction for Volume Estimation of Solid Lesions in CT

MRI-based radiomic feature analysis of end-stage liver disease for severity stratification

Quantitative Imaging Biomarkers of the Whole Liver Tumor Burden Improve Survival Prediction in Metastatic Pancreatic Cancer

Can Whole-Body Baseline CT Radiomics Add Information to the Prediction of Best Response, Progression-Free Survival, and Overall Survival of Stage IV Melanoma Patients Receiving First-Line Targeted Therapy: A Retrospective Register Study

Inter-Method Performance Study of Tumor Volumetry Assessment on Computed Tomography Test-Retest Data

Sketch-Based Editing Tools for Tumour Segmentation in 3D Medical Images

Inferring 3D finger bone shapes from 2D images – a detailed analysis of shape accuracy

Determination of lung segments in computed tomography images using the Euclidean distance to the pulmonary artery

On the evaluation of segmentation editing tools

Toward Automated Validation of Sketch-Based 3D Segmentation Editing Tools

Robust Intensity-based Initialization for 2D-3D Pelvis Registration (RobIn)

Advanced Segmentation Techniques for Lung Nodules, Liver Metastases, and Enlarged Lymph Nodes in CT Scans

Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge

Correlation Between SUVmax and CT Radiomic Analysis Using Lymph Node Density in PET/CT-Based Lymph Node Staging

Efficient Registration of Longitudinal Studies for Follow-Up Lesion Assessment by Exploiting Redundancy and Composition of Deformations

Radiomic Analysis using Density Threshold for FDG-PET/CT-Based N-Staging in Lung Cancer Patients

The International Radiomics Platform - An Initiative of the German and Austrian Radiological Societies - First Application Examples

Correlation Between SUV sub( max) and CT Radiomic Analysis Using Lymph Node Density in PET/CT-Based Lymph Node Staging

Correlation Between SUV max and CT Radiomic Analysis Using Lymph Node Density in PET/CT-Based Lymph Node Staging

Correlation Between SUV^sub max^ and CT Radiomic Analysis Using Lymph Node Density in PET/CT-Based Lymph Node Staging

DTI segmentation via the combined analysis of connectivity maps and tensor distances

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