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Friederike Jungmann

Showing results (1-10 of 17) with videos related to

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Journal of Clinical Medicine|December 16, 2020
Deep Convolutional Neural Network-Assisted Feature Extraction for Diagnostic Discrimination and Feature Visualization in Pancreatic Ductal Adenocarcinoma (PDAC) versus Autoimmune Pancreatitis (AIP)Sebastian Ziegelmayer, Georgios Kaissis, Felix Harder, et al.
Plos One|August 19, 2021
Efficient, high-performance semantic segmentation using multi-scale feature extractionMoritz Knolle, Georgios Kaissis, Friederike Jungmann, et al.
Nature|June 24, 2026
Disparate privacy risks from medical AIMoritz A Knolle, Martin J Menten, Friederike Jungmann, et al.
Computational and Structural Biotechnology Journal|June 12, 2025
Leveraging large language models for accurate classification of liver lesions from MRI reportsDaniel Spitzl, Markus Mergen, Ulrike Bauer, et al.
Nature Medicine|July 4, 2024
Evaluation and mitigation of the limitations of large language models in clinical decision-makingPaul Hager, Friederike Jungmann, Robbie Holland, et al.
European Radiology|October 25, 2022
Algorithmic transparency and interpretability measures improve radiologists' performance in BI-RADS 4 classificationFriederike Jungmann, Sebastian Ziegelmayer, Fabian K Lohoefer, et al.
Radiology|February 25, 2025
Automated CT Measurement of Total Kidney Volume for Predicting Renal Function Decline after <sup>177</sup>Lu Prostate-specific Membrane Antigen-I&T Radioligand TherapyLisa Steinhelfer, Friederike Jungmann, Manuel Nickel, et al.
European Journal of Nuclear Medicine and Molecular Imaging|February 16, 2026
Fully automated spleen segmentation predicts progression-free survival in HCC patients following transarterial radioembolizationLisa Steinhelfer, Friederike Jungmann, Lukas Endroes, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|July 11, 2024
Spleen Volume Reduction Is a Reliable and Independent Biomarker for Long-Term Risk of Leukopenia Development in Peptide Receptor Radionuclide TherapyLisa Steinhelfer, Friederike Jungmann, Lukas Endrös, et al.
Cancers|April 30, 2021
Prediction of Tumor Cellularity in Resectable PDAC from Preoperative Computed Tomography ImagingFriederike Jungmann, Georgios A Kaissis, Sebastian Ziegelmayer, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Journal of Clinical Medicine|December 16, 2020
Deep Convolutional Neural Network-Assisted Feature Extraction for Diagnostic Discrimination and Feature Visualization in Pancreatic Ductal Adenocarcinoma (PDAC) versus Autoimmune Pancreatitis (AIP)Sebastian Ziegelmayer, Georgios Kaissis, Felix Harder, et al.
Plos One|August 19, 2021
Efficient, high-performance semantic segmentation using multi-scale feature extractionMoritz Knolle, Georgios Kaissis, Friederike Jungmann, et al.
Nature|June 24, 2026
Disparate privacy risks from medical AIMoritz A Knolle, Martin J Menten, Friederike Jungmann, et al.
Computational and Structural Biotechnology Journal|June 12, 2025
Leveraging large language models for accurate classification of liver lesions from MRI reportsDaniel Spitzl, Markus Mergen, Ulrike Bauer, et al.
Nature Medicine|July 4, 2024
Evaluation and mitigation of the limitations of large language models in clinical decision-makingPaul Hager, Friederike Jungmann, Robbie Holland, et al.
European Radiology|October 25, 2022
Algorithmic transparency and interpretability measures improve radiologists' performance in BI-RADS 4 classificationFriederike Jungmann, Sebastian Ziegelmayer, Fabian K Lohoefer, et al.
Radiology|February 25, 2025
Automated CT Measurement of Total Kidney Volume for Predicting Renal Function Decline after <sup>177</sup>Lu Prostate-specific Membrane Antigen-I&T Radioligand TherapyLisa Steinhelfer, Friederike Jungmann, Manuel Nickel, et al.
European Journal of Nuclear Medicine and Molecular Imaging|February 16, 2026
Fully automated spleen segmentation predicts progression-free survival in HCC patients following transarterial radioembolizationLisa Steinhelfer, Friederike Jungmann, Lukas Endroes, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|July 11, 2024
Spleen Volume Reduction Is a Reliable and Independent Biomarker for Long-Term Risk of Leukopenia Development in Peptide Receptor Radionuclide TherapyLisa Steinhelfer, Friederike Jungmann, Lukas Endrös, et al.
Cancers|April 30, 2021
Prediction of Tumor Cellularity in Resectable PDAC from Preoperative Computed Tomography ImagingFriederike Jungmann, Georgios A Kaissis, Sebastian Ziegelmayer, et al.
Pageof 2