Daniel Truhn
Universitätsklinikum Aachen(DE)RWTH Aachen University(DE)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, Artificial Intelligence in Healthcare and Education, Osteoarthritis Treatment and Mechanisms, Machine Learning in Healthcare
Most-Cited Works
- → Leveraging GPT-4 for Post Hoc Transformation of Free-text Radiology Reports into Structured Reporting: A Multilingual Feasibility Study(2023)306 cited
- → Radiomic versus Convolutional Neural Networks Analysis for Classification of Contrast-enhancing Lesions at Multiparametric Breast MRI(2018)271 cited
- → Denoising diffusion probabilistic models for 3D medical image generation(2023)270 cited
- → Temperature responses of roots: impact on growth, root system architecture and implications for phenotyping(2009)255 cited
- → Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study(2023)226 cited
- → Swarm learning for decentralized artificial intelligence in cancer histopathology(2022)202 cited
- → A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis(2023)174 cited
- → Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology(2022)169 cited
- → Current applications and challenges in large language models for patient care: a systematic review(2025)154 cited
- → Radiomics feature reproducibility under inter-rater variability in segmentations of CT images(2020)123 cited