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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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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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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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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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Hippocampus segmentation in CT using deep learning: impact of MR versus CT-based training contours

Journal of medical imaging (Bellingham, Wash.), 2020-11, Vol.7 (6), p.064001-064001

2020

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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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Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing

Scientific reports, 2018-10, Vol.8 (1), p.15497-7, Article 15497

2018

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Comparison of Volumetric and Linear Serial CT Assessments of Lung Metastases in Renal Cell Carcinoma Patients in a Clinical Phase IIB Study

Academic radiology, 2015-05, Vol.22 (5), p.619-625

2015

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CNN-based lung CT registration with multiple anatomical constraints

Medical image analysis, 2021-08, Vol.72, p.102139-102139, Article 102139

2021

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Radiomics workflow definition & challenges - German priority program 2177 consensus statement on clinically applied radiomics

Insights into imaging, 2024-06, Vol.15 (1), p.124-124, Article 124

2024

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Algorithm Variability in the Estimation of Lung Nodule Volume From Phantom CT Scans: Results of the QIBA 3A Public Challenge

Academic radiology, 2016-08, Vol.23 (8), p.940-952

2016

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The Liver Tumor Segmentation Benchmark (LiTS)

Medical image analysis, 2023-02, Vol.84, p.102680, Article 102680

2023

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Semi-automatic 3D-volumetry of liver metastases from neuroendocrine tumors to improve combination therapy with 177Lu-DOTATOC and 90Y-DOTATOC

Diagnostic and interventional radiology (Ankara, Turkey), 2016-05, Vol.22 (3), p.201-206

2016

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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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Automated segmentation and quantification of the healthy and diseased aorta in CT angiographies using a dedicated deep learning approach

European radiology, 2022, Vol.32 (1), p.690-701

2022

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The relevance of CT-based geometric and radiomics analysis of whole liver tumor burden to predict survival of patients with metastatic colorectal cancer

European radiology, 2021-02, Vol.31 (2), p.834-846

2021

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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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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

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

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

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

Hippocampus segmentation in CT using deep learning: impact of MR versus CT-based training contours

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

Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing

Comparison of Volumetric and Linear Serial CT Assessments of Lung Metastases in Renal Cell Carcinoma Patients in a Clinical Phase IIB Study

CNN-based lung CT registration with multiple anatomical constraints

Radiomics workflow definition & challenges - German priority program 2177 consensus statement on clinically applied radiomics

Algorithm Variability in the Estimation of Lung Nodule Volume From Phantom CT Scans: Results of the QIBA 3A Public Challenge

The Liver Tumor Segmentation Benchmark (LiTS)

Semi-automatic 3D-volumetry of liver metastases from neuroendocrine tumors to improve combination therapy with 177Lu-DOTATOC and 90Y-DOTATOC

On the evaluation of segmentation editing tools

Automated segmentation and quantification of the healthy and diseased aorta in CT angiographies using a dedicated deep learning approach

The relevance of CT-based geometric and radiomics analysis of whole liver tumor burden to predict survival of patients with metastatic colorectal cancer

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

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