Search Results - "Jensen, Laura J."

Stability of Radiomic Features across Different Region of Interest Sizes—A CT and MR Phantom Study by Jensen, Laura J., Kim, Damon, Elgeti, Thomas, Steffen, Ingo G., Hamm, Bernd, Nagel, Sebastian N.

“…We aimed to evaluate radiomic features’ stability across different region of interest (ROI) sizes in CT and MR images. We chose a phantom with a homogenous…”
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CT radiomics to predict Deauville score 4 positive and negative Hodgkin lymphoma manifestations by Jensen, Laura J., Rogasch, Julian M. M., Kim, Damon, Rießelmann, Juliana, Furth, Christian, Amthauer, Holger, Hamm, Bernd, Steffen, Ingo G., Elgeti, Thomas, Nagel, Sebastian N.

“…18F-FDG-PET/CT is standard to assess response in Hodgkin lymphoma by quantifying metabolic activity with the Deauville score. PET/CT, however, is…”
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Stability of Liver Radiomics across Different 3D ROI Sizes-An MRI In Vivo Study by Jensen, Laura J, Kim, Damon, Elgeti, Thomas, Steffen, Ingo G, Hamm, Bernd, Nagel, Sebastian N

“…We aimed to evaluate the stability of radiomic features in the liver of healthy individuals across different three-dimensional regions of interest (3D ROI)…”
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Enhancing the stability of CT radiomics across different volume of interest sizes using parametric feature maps: a phantom study by Jensen, Laura J., Kim, Damon, Elgeti, Thomas, Steffen, Ingo G., Schaafs, Lars-Arne, Hamm, Bernd, Nagel, Sebastian N.

“…Background In radiomics studies, differences in the volume of interest (VOI) are often inevitable and may confound the extracted features. We aimed to correct…”
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Radiomics for Everyone: A New Tool Simplifies Creating Parametric Maps for the Visualization and Quantification of Radiomics Features by Kim, Damon, Jensen, Laura J., Elgeti, Thomas, Steffen, Ingo G., Hamm, Bernd, Nagel, Sebastian N.

“…Aim was to develop a user-friendly method for creating parametric maps that would provide a comprehensible visualization and allow immediate quantification of…”
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Enhancing the differentiation of pulmonary lymphoma and fungal pneumonia in hematological patients using texture analysis in 3-T MRI by Kim, Damon, Elgeti, Thomas, Penzkofer, Tobias, Steffen, Ingo G., Jensen, Laura J., Schwartz, Stefan, Hamm, Bernd, Nagel, Sebastian N.

“…Objectives To evaluate texture analysis in nonenhanced 3-T MRI for differentiating pulmonary fungal infiltrates and lymphoma manifestations in hematological…”
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Differentiating inflammatory and malignant pulmonary lesions on 3T lung MRI with radiomics of apparent diffusion coefficient maps and T2w derived radiomic feature maps by Jensen, Laura J, Kim, Damon, Elgeti, Thomas, Steffen, Ingo G, Schaafs, Lars-Arne, Hamm, Bernd, Nagel, Sebastian N

“…Differentiating inflammatory from malignant lung lesions continues to be challenging in clinical routine, frequently requiring invasive methods like biopsy…”
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Differentiation of Pulmonary Lymphoma Manifestations and Nonlymphoma Infiltrates in Possible Invasive Fungal Disease Using Fast T1-weighted Magnetic Resonance Imaging at 3 T Comparison of Texture Analysis, Mapping, and Signal Intensity Quotients by Jensen, Laura J., Kim, Damon, Elgeti, Thomas, Steffen, Ingo G., Hamm, Bernd, Nagel, Sebastian N.

“…This study aimed to evaluate the diagnostic performance of texture analysis (TA), T1 mapping, and signal intensity quotients derived from fast T1-weighted…”
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Feasibility of in vivo magnetic resonance elastography of mesenteric adipose tissue in Crohn's disease by Jensen, Laura J, Loch, Florian N, Kamphues, Carsten, Shahryari, Mehrgan, Marticorena Garcia, Stephan R, Siegmund, Britta, Weidinger, Carl, Kühl, Anja A, Hamm, Bernd, Braun, Jürgen, Sack, Ingolf, Asbach, Patrick, Reiter, Rolf

“…Although there is growing evidence that functional involvement and structural changes of mesenteric adipose tissue (MAT) influence the course of Crohn's…”
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Differentiation of Pulmonary Lymphoma Manifestations and Nonlymphoma Infiltrates in Possible Invasive Fungal Disease Using Fast T1-weighted Magnetic Resonance Imaging at 3 T Comparison of Texture Analysis, Mapping, and Signal Intensity Quotients by Jensen, Laura J., Kim, Damon, Elgeti, Thomas, Steffen, Ingo G., Hamm, Bernd, Nagel, Sebastian N.

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Detecting Clinically Significant Prostate Cancer in PI-RADS 3 Lesions Using T2w-Derived Radiomics Feature Maps in 3T Prostate MRI by Jensen, Laura J., Kim, Damon, Elgeti, Thomas, Steffen, Ingo G., Schaafs, Lars-Arne, Haas, Matthias, Kurz, Lukas J., Hamm, Bernd, Nagel, Sebastian N.

“…Prostate Imaging Reporting and Data System version 2.1 (PI-RADS) category 3 lesions are a challenge in the clinical workflow. A better detection of the…”
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