Sven Nebelung

1. Using Machine Learning to Reduce the Need for Contrast Agents in Breast MRI through Synthetic Images
   2023/03/21 by Gustav Müller-Franzes, Gustav Müller‐Franzes, Luisa Huck +11 · 8 citations
   Medicine · Computer Science · #MRI in cancer diagnosis #Radiomics and Machine Learning in Medical Imaging #AI in cancer detection
2. Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Generation
   2022/11/07 by Firas Khader, Khader, Firas, Gustav Mueller-Franzes +27 · 5 citations
   Computer Science · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
3. Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2
   2024/11/24 by Gustav Müller‐Franzes, Müller-Franzes, Gustav, Firas Khader +11 · 9 citations
   Engineering · Medicine · Neuroscience · #Artificial Intelligence (cs.AI) #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Medical Imaging and Analysis #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
4. RadioRAG: Online Retrieval-augmented Generation for Radiology Question Answering
   2024/07/22 by Soroosh Tayebi Arasteh, Arasteh, Soroosh Tayebi, Mahshad Lotfinia +17 · 1 voice · 6 citations
   Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. Foundation-model-guided radiogenomic discovery linking cancer genomes to cancer scans
   2026/07/22 by Frederik Hauke, Jeremias Krause, Patrick Wienholt +6 · 1 voice
   #q-bio.GN #cs.AI
6. Bayesian uncertainty estimation improves clinical decision making in medical AI agents
   2026/07/22 by Frederik Hauke, Patrick Wienholt, Christiane Kuhl +4
   #cs.LG #cs.AI #cs.MA
7. Self-supervision drives representational convergence in medical foundation models more than clinical supervision
   2026/07/22 by Soroosh Tayebi Arasteh, Sebastian Ziegelmayer, Mahshad Lotfinia +4
   #cs.CV #cs.AI #cs.CL #cs.LG
8. CANDOR: Chance-Calibrated Discordance in Frozen Foundation Encoders
   2026/07/20 by Soroosh Tayebi Arasteh, Sven Nebelung, Daniel Truhn
   #cs.LG #cs.AI #cs.CL #cs.CV