Felix Nensa

Latest

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
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
MOMO--Deep Learning-driven classification of external DICOM studies for PACS archivation
Joint Imaging Platform for Federated Clinical Data Analytics