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Miriam Rinneburger

5PUBLICATIONS
20CO-AUTHORS
Deep learningNatural language processingCancer diagnosisPredictive and prognostic markersComputational imaging
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Publications (5)

Sort by Publication Date:
|Jun 24, 2026
Impact on Cost and Expert Time of Data-Efficient Deep Learning for Medical Image Segmentation.

|Apr 14, 2026
Fully Automated AI-Based Lymph Node Measurements in Chest CT: Accuracy and Reproducibility Compared with Multi-Reader Assessment.

Andra-Iza Iuga, Heike Carolus, Liliana Lourenco Caldeira

|Jan 28, 2026
Automated Lymph Node Localization and Segmentation in Patients with Head and Neck Cancer: Opportunities and Limitations of Using a Generic AI Model.

Miriam Rinneburger, Heike Carolus, Andra-Iza Iuga

|Jul 28, 2023
Automated localization and segmentation of cervical lymph nodes on contrast-enhanced CT using a 3D foveal fully convolutional neural network.

Miriam Rinneburger, Heike Carolus, Andra-Iza Iuga

|Aug 13, 2021
Manual kidney stone size measurements in computed tomography are most accurate using multiplanar image reformatations and bone window settings.

Robert Peter Reimer, Konstantin Klein, Miriam Rinneburger

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Frequent Collaborators

3 joint publications

Nils Große Hokamp

3 joint publications

Thorsten Persigehl

2 joint publications

Simon Lennartz

2 joint publications

Heike Carolus

2 joint publications

Andra-Iza Iuga

2 joint publications

Mathilda Weisthoff

2 joint publications

Liliana Lourenco Caldeira

2 joint publications

Fabian Laqua

1 joint publications

Robert Peter Reimer

1 joint publications

David Zopfs

Frequent Collaborators

3 joint publications

Nils Große Hokamp

3 joint publications

Thorsten Persigehl

2 joint publications

Simon Lennartz

2 joint publications

Heike Carolus