Daniel Truhn
- MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data
2023/04/14 by Tianyu Han, Han, Tianyu, Lisa C. Adams +14 · 37 citations
Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning in Healthcare #Topic Modeling
- Molnets: An Artificial Chemistry Based on Neural Networks
2002/01/01 by Felix Busch, Lena Hoffmann, Daniel Truhn +15 · 5 citations
Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #COVID-19 diagnosis using AI #Clinical Reasoning and Diagnostic Skills #Neural Networks and Applications
- Benchmarking foundation models as feature extractors for weakly-supervised computational pathology
2024/08/28 by Peter Neidlinger, Omar S. M. El Nahhas, Neidlinger, Peter +29 · 14 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · #AI in cancer detection #Cell Image Analysis Techniques
- 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
- LongHealth: A Question Answering Benchmark with Long Clinical Documents
2024/01/25 by Lisa C. Adams, Adams, Lisa, Felix Busch +17 · 7 citations
Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning in Healthcare #Topic Modeling
- Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data
2024/08/25 by Felix J. Dorfner, Amin Dada, Dorfner, Felix J. +19 · 9 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer Genomics and Diagnostics #Computation and Language (cs.CL) #FOS: Computer and information sciences #Topic Modeling
- Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Generation
2022/11/07 by Firas Khader, Gustav Mueller-Franzes, Khader, Firas +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
- 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
- LLM Agents Making Agent Tools
2025/02/17 by Georg Wölflein, Wölflein, Georg, Dyke Ferber +7 · 11 citations
Computer Science · Engineering · Business, Management and Accounting · #Multi-Agent Systems and Negotiation #Scheduling and Optimization Algorithms #Business Process Modeling and Analysis
- 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)
- End-To-End Clinical Trial Matching with Large Language Models
2024/07/18 by Dyke Ferber, Lars Hilgers, Ferber, Dyke +29 · 3 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Biomedical Text Mining and Ontologies #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning in Healthcare #Statistical Methods in Clinical Trials
- MRSegmentator: Multi-Modality Segmentation of 40 Classes in MRI and CT
2024/05/10 by Hartmut Häntze, Häntze, Hartmut, Lina Xu +40 · 2 citations
Engineering · Medicine · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #J.3 #Machine Learning (cs.LG) #Medical Imaging and Analysis #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
- Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology
2024/03/06 by Omar S. M. El Nahhas, Nahhas, Omar S. M. El, Georg Wölflein +13 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · #AI in cancer detection #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Gene expression and cancer classification #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
- Prompt Injection Attacks on Large Language Models in Oncology
2024/07/23 by Jan Clusmann, Dyke Ferber, Clusmann, Jan +13 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Natural Language Processing Techniques #Topic Modeling
- 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
- 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
- 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
- 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