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Felix Nensa

Showing results (161-170 of 199) with videos related to

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Journal of Cachexia, Sarcopenia and Muscle|December 22, 2022
Deep learning-based assessment of body composition and liver tumour burden for survival modelling in advanced colorectal cancerJulius Keyl, René Hosch, Aaron Berger, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|April 4, 2024
Early Metabolic Response by PET Predicts Sensitivity to Next-Line Targeted Therapy in <i>EGFR</i>-Mutated Lung Cancer with Unknown Mechanism of Acquired ResistanceMartin Schuler, Jörg Hense, Kaid Darwiche, et al.
Future Oncology (London, England)|May 7, 2014
Dynamic contrast-enhanced MRI parameters as biomarkers for the effect of vatalanib in patients with non-small-cell lung cancerFelix Nensa, Jörg Stattaus, Bruno Morgan, et al.
Eurointervention : Journal of Europcr in Collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology|May 28, 2015
Myocardial injury during transfemoral transcatheter aortic valve implantation: an intracoronary Doppler and cardiac magnetic resonance imaging studyPhilipp Kahlert, Fadi Al-Rashid, Björn Plicht, et al.
Scientific Data|June 26, 2024
ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image DatasetJohannes Rückert, Louise Bloch, Raphael Brüngel, et al.
Computers in Biology and Medicine|June 24, 2025
From BERT to generative AI - Comparing encoder-only vs. large language models in a cohort of lung cancer patients for named entity recognition in unstructured medical reportsKamyar Arzideh, Henning Schäfer, Héctor Allende-Cid, et al.
Journal of Clinical Medicine|October 16, 2024
Opportunistic Screening for Low Bone Mineral Density in Adults with Cystic Fibrosis Using Low-Dose Computed Tomography of the Chest with Artificial IntelligenceMatthias Welsner, Henning Navel, Rene Hosch, et al.
European Radiology Experimental|December 5, 2024
Fully automatic quantification of pulmonary fat attenuation volume by CT: an exploratory pilot studyLuca Salhöfer, Mathias Holtkamp, Francesco Bonella, et al.
Scientific Reports|July 21, 2025
AI-based body composition analysis of CT data has the potential to predict disease course in patients with multiple myelomaFranz Wegner, Malte Maria Sieren, Hanna Grasshoff, et al.
Investigative Radiology|February 17, 2025
Moving Beyond CT Body Composition Analysis: Using Style Transfer for Bringing CT-Based Fully-Automated Body Composition Analysis to T2-Weighted MRI SequencesJohannes Haubold, Olivia Barbara Pollok, Mathias Holtkamp, et al.
Pageof 20

Showing results (161-170 of 199) with videos related to

Sort By:
Pageof 20
Journal of Cachexia, Sarcopenia and Muscle|December 22, 2022
Deep learning-based assessment of body composition and liver tumour burden for survival modelling in advanced colorectal cancerJulius Keyl, René Hosch, Aaron Berger, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|April 4, 2024
Early Metabolic Response by PET Predicts Sensitivity to Next-Line Targeted Therapy in <i>EGFR</i>-Mutated Lung Cancer with Unknown Mechanism of Acquired ResistanceMartin Schuler, Jörg Hense, Kaid Darwiche, et al.
Future Oncology (London, England)|May 7, 2014
Dynamic contrast-enhanced MRI parameters as biomarkers for the effect of vatalanib in patients with non-small-cell lung cancerFelix Nensa, Jörg Stattaus, Bruno Morgan, et al.
Eurointervention : Journal of Europcr in Collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology|May 28, 2015
Myocardial injury during transfemoral transcatheter aortic valve implantation: an intracoronary Doppler and cardiac magnetic resonance imaging studyPhilipp Kahlert, Fadi Al-Rashid, Björn Plicht, et al.
Scientific Data|June 26, 2024
ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image DatasetJohannes Rückert, Louise Bloch, Raphael Brüngel, et al.
Computers in Biology and Medicine|June 24, 2025
From BERT to generative AI - Comparing encoder-only vs. large language models in a cohort of lung cancer patients for named entity recognition in unstructured medical reportsKamyar Arzideh, Henning Schäfer, Héctor Allende-Cid, et al.
Journal of Clinical Medicine|October 16, 2024
Opportunistic Screening for Low Bone Mineral Density in Adults with Cystic Fibrosis Using Low-Dose Computed Tomography of the Chest with Artificial IntelligenceMatthias Welsner, Henning Navel, Rene Hosch, et al.
European Radiology Experimental|December 5, 2024
Fully automatic quantification of pulmonary fat attenuation volume by CT: an exploratory pilot studyLuca Salhöfer, Mathias Holtkamp, Francesco Bonella, et al.
Scientific Reports|July 21, 2025
AI-based body composition analysis of CT data has the potential to predict disease course in patients with multiple myelomaFranz Wegner, Malte Maria Sieren, Hanna Grasshoff, et al.
Investigative Radiology|February 17, 2025
Moving Beyond CT Body Composition Analysis: Using Style Transfer for Bringing CT-Based Fully-Automated Body Composition Analysis to T2-Weighted MRI SequencesJohannes Haubold, Olivia Barbara Pollok, Mathias Holtkamp, et al.
Pageof 20