Publications

Also see my Google Scholar profile.

2026

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    Calibrated Confidence Expression for Radiology Report Generation
    David Bani-Harouni*, Chantal Pellegrini*, Julian Lüers, Su Hwan Kim, Markus Baalmann, Benedikt Wiestler, Rickmer Braren, Nassir Navab, and Matthias Keicher
    MICCAI, 2026
  2. Learning Diagnostic Reasoning for Decision Support in Toxicology
    Nico Oberländer*, David Bani-Harouni*, Tobias Zellner, Nassir Navab, Florian Eyer, and Matthias Keicher
    MICCAI AMAI, 2026
  3. SpeechCT-CLIP: Distilling Text-Image Knowledge to Speech for Voice-Native Multimodal CT Analysis
    Lukas Buess*, Jan Geier*, David Bani-Harouni, Chantal Pellegrini, Matthias Keicher, Paula Andrea Perez-Toro, Nassir Navab, Andreas Maier, and Tomas Arias-Vergara
    ICASSP, 2026
  4. Specialized Foundation Models for Intelligent Operating Rooms
    Ege Özsoy, Chantal Pellegrini, David Bani-Harouni, Kun Yuan, Matthias Keicher, and Nassir Navab
    npj Digital Medicine, 2026
  5. From EHRs to Patient Pathways: Scalable Modeling of Longitudinal Health Trajectories with LLMs
    Chantal Pellegrini, Ege Özsoy, David Bani-Harouni, Matthias Keicher, and Nassir Navab
    TMLR, 2026
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    Language Agents for Hypothesis-Driven Clinical Decision Making with Reinforcement Learning
    David Bani-Harouni, Chantal Pellegrini, Ege Özsoy, Matthias Keicher, and Nassir Navab
    ICLR, 2026
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    Rewarding Doubt: A Reinforcement Learning Approach to Calibrated Confidence Expression of Large Language Models
    David Bani-Harouni*, Chantal Pellegrini*, Paul Stangel, Ege Özsoy, Kamilia Zaripova, Matthias Keicher, and Nassir Navab
    ICLR, 2026

2025

  1. ORQA: A Benchmark and Foundation Model for Holistic Operating Room Modeling
    Ege Özsoy, Chantal Pellegrini, David Bani-Harouni, Kun Yuan, Matthias Keicher, and Nassir Navab
    Preprint, 2025
  2. MM-OR: A Large Multimodal Operating Room Dataset for Semantic Understanding of High-Intensity Surgical Environments
    Ege Özsoy, Chantal Pellegrini, Tobias Czempiel, Felix Tristram, Kun Yuan, David Bani-Harouni, Ulrich Eck, Benjamin Busam, Matthias Keicher, and Nassir Navab
    CVPR, 2025

2024

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    MAGDA: Multi-Agent Guideline-Driven Diagnostic Assistance
    David Bani-Harouni, Nassir Navab, and Matthias Keicher
    MICCAI MedAGI, 2024

2023

  1. Multimodal Graph Attention Network for COVID-19 Outcome Prediction
    Matthias Keicher*, Hendrik Burwinkel*, David Bani-Harouni*, Magdalini Paschali, Tobias Czempiel, Egon Burian, Marcus R. Makowski, Rickmer Braren, Nassir Navab, and Thomas Wendler
    Scientific Reports, 2023
  2. Gradient Self-Alignment in Private Deep Learning
    David Bani-Harouni, Tamara T. Mueller, Daniel Rueckert, and Georgios Kaissis
    MICCAI CareAI, 2023
  3. ToxNet: An Artificial Intelligence Designed for Decision Support for Toxin Prediction
    Tobias Zellner, Katrin Romanek, Christian Rabe, Sabrina Schmoll, Stefanie Geith, Eva-Carina Heier, Raphael Stich, Hendrik Burwinkel, Matthias Keicher, David Bani-Harouni, Nassir Navab, Seyed-Ahmad Ahmadi, and Florian Eyer
    Clinical Toxicology, 2023

2020

  1. Decision Support for Intoxication Prediction Using Graph Convolutional Networks
    Hendrik Burwinkel*, Matthias Keicher*, David Bani-Harouni, Tobias Zellner, Nassir Navab, Seyed-Ahmad Ahmadi, and Florian Eyer
    MICCAI, 2020