Johannes Hofmanninger

Vienna, Austria

Last Updated: 09/26/2026

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Found 13 publications

Radiomic features define risk and are linked to DNA methylation attributes in primary CNS lymphoma.

Radiomic features define risk and are linked to DNA methylation attributes in primary CNS lymphoma.

Journal: Neuro-oncology advances

Published: November 29, 2023

Unsupervised machine learning identifies predictive progression markers of IPF.

Unsupervised machine learning identifies predictive progression markers of IPF.

Journal: European radiology

Published: November 03, 2021

Correction to: Radiomics score predicts acute respiratory distress syndrome based on the initial CT scan after trauma.

Correction to: Radiomics score predicts acute respiratory distress syndrome based on the initial CT scan after trauma.

Journal: European radiology

Published: May 04, 2021

Dynamic memory to alleviate catastrophic forgetting in continual learning with medical imaging.

Dynamic memory to alleviate catastrophic forgetting in continual learning with medical imaging.

Journal: Nature communications

Published: May 03, 2021

Variability of computed tomography radiomics features of fibrosing interstitial lung disease: A test-retest study.

Variability of computed tomography radiomics features of fibrosing interstitial lung disease: A test-retest study.

Journal: Methods (San Diego, Calif.)

Published: July 03, 2020

Radiomics score predicts acute respiratory distress syndrome based on the initial CT scan after trauma.

Radiomics score predicts acute respiratory distress syndrome based on the initial CT scan after trauma.

Journal: European radiology

Published: May 22, 2020

Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem.

Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem.

Journal: European radiology experimental

Published: March 31, 2020

Machine learning in radiology : Terminology from individual timepoint to trajectory

Machine learning in radiology : Terminology from individual timepoint to trajectory

Journal: Der Radiologe

Published: January 10, 2020

Artificial intelligence in lung imaging

Artificial intelligence in lung imaging

Journal: Der Radiologe

Published: November 23, 2019

Prospects and Challenges of Radiomics by Using Nononcologic Routine Chest CT.

Prospects and Challenges of Radiomics by Using Nononcologic Routine Chest CT.

Journal: Radiology. Cardiothoracic imaging

Published: September 15, 2019

Machine learning: from radiomics to discovery and routine.

Machine learning: from radiomics to discovery and routine.

Journal: Der Radiologe

Published: June 21, 2018

Volumetry based biomarker speed of growth: Quantifying the change of total tumor volume in whole-body magnetic resonance imaging over time improves risk stratification of smoldering multiple myeloma patients.

Volumetry based biomarker speed of growth: Quantifying the change of total tumor volume in whole-body magnetic resonance imaging over time improves risk stratification of smoldering multiple myeloma patients.

Journal: Oncotarget

Published: March 07, 2018

Showing 1-12 of 13

Last Updated: 09/26/2026