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Christoph M Friedrich
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Moving Beyond CT Body Composition Analysis: Using Style Transfer for bringing CT-based fully-automated Body Composition Analysis to T2-weighted MRI Sequences
A Transformer-Based Pipeline for German Clinical Document De-Identification
Systematic comparison of 3D Deep learning and classical machine learning explanations for Alzheimer’s Disease detection
Boosting efficientnets ensemble performance via pseudo-labels and synthetic images by pix2pixHD for infection and Ischaemia classification in diabetic foot ulcers
Machine learning workflow to explain black-box models for early Alzheimer’s disease classification evaluated for multiple datasets
Data analysis with Shapley values for automatic subject selection in Alzheimer’s disease data sets using interpretable machine learning
Overview of the ImageCLEFmed 2021 concept \& caption prediction task
Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms
Overview of the ImageCLEFmed 2020 concept prediction task: Medical image understanding
Sociodemographic data and APOE-ε4 augmentation for MRI-based detection of amnestic mild cognitive impairment using deep learning systems
Overview of the ImageCLEFmed 2019 concept detection task
Variations on branding with text occurrence for optimized body parts classification
Annotation of enhanced radiographs for medical image retrieval with deep convolutional neural networks
Branding-fusion of meta data and musculoskeletal radiographs for multi-modal diagnostic recognition
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