Felix Nensa

Latest

AI-derived body composition parameters as prognostic factors in patients with HCC undergoing TACE in a multicenter study
Establishing Medical Intelligence - Leveraging FHIR to Improve Clinical Management: a retrospective cohort and clinical implementation study
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding
Automated 3D-Body Composition Analysis as a Predictor of Survival in Patients With Idiopathic Pulmonary Fibrosis
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding
k-strip: A novel segmentation algorithm in k-space for the application of skull stripping
Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence
MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
Information extraction from weakly structured radiological reports with natural language queries
Open-source skull reconstruction with MONAI
Establishing Medical Intelligence - Leveraging FHIR to Improve Clinical Management
Contrast Agent Dose Reduction in MRI Utilizing a Generative Adversarial Network in an Exploratory Animal Study
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries
Current State of Community-Driven Radiological AI Deployment in Medical Imaging
Deep learning-based assessment of body composition and liver tumor burden for survival modeling in advanced colorectal cancer
Open-Source Skull Reconstruction with MONAI
Biomarkers extracted by fully automated body composition analysis from chest CT correlate with SARS-CoV-2 outcome severity
CT-derived body composition analysis could possibly replace DXA and BIA to monitor NET-patients
Artificial intelligence guided enhancement of digital PET: scans as fast as CT?
Deep Learning–driven classification of external DICOM studies for PACS archiving
k-strip: A novel segmentation algorithm in k-space for the application of skull stripping
Contrast Media Reduction in Computed Tomography With Deep Learning Using a Generative Adversarial Network in an Experimental Animal Study
Joint Imaging Platform for Federated Clinical Data Analytics