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
@article{baniharouni2026calibrated,title={Calibrated Confidence Expression for Radiology Report Generation},author={Bani-Harouni, David and Pellegrini, Chantal and Lüers, Julian and Kim, Su Hwan and Baalmann, Markus and Wiestler, Benedikt and Braren, Rickmer and Navab, Nassir and Keicher, Matthias},journal={MICCAI},year={2026},}
Learning Diagnostic Reasoning for Decision Support in Toxicology
Nico Oberländer*, David Bani-Harouni*, Tobias Zellner, Nassir Navab, Florian Eyer, and Matthias Keicher
@article{oberlaender2026toxicology,title={Learning Diagnostic Reasoning for Decision Support in Toxicology},author={Oberländer, Nico and Bani-Harouni, David and Zellner, Tobias and Navab, Nassir and Eyer, Florian and Keicher, Matthias},journal={MICCAI AMAI},year={2026},}
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
@article{buess2026speechctclip,title={{SpeechCT-CLIP}: Distilling Text-Image Knowledge to Speech for Voice-Native Multimodal {CT} Analysis},author={Buess, Lukas and Geier, Jan and Bani-Harouni, David and Pellegrini, Chantal and Keicher, Matthias and Perez-Toro, Paula Andrea and Navab, Nassir and Maier, Andreas and Arias-Vergara, Tomas},journal={ICASSP},year={2026},}
Specialized Foundation Models for Intelligent Operating Rooms
Ege Özsoy, Chantal Pellegrini, David Bani-Harouni, Kun Yuan, Matthias Keicher, and Nassir Navab
@article{oezsoy2026specialized,title={Specialized Foundation Models for Intelligent Operating Rooms},author={Özsoy, Ege and Pellegrini, Chantal and Bani-Harouni, David and Yuan, Kun and Keicher, Matthias and Navab, Nassir},journal={npj Digital Medicine},year={2026},}
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
@article{pellegrini2026pathways,title={From {EHRs} to Patient Pathways: Scalable Modeling of Longitudinal Health Trajectories with {LLMs}},author={Pellegrini, Chantal and Özsoy, Ege and Bani-Harouni, David and Keicher, Matthias and Navab, Nassir},journal={TMLR},year={2026},}
Language Agents for Hypothesis-Driven Clinical Decision Making with Reinforcement Learning
David Bani-Harouni, Chantal Pellegrini, Ege Özsoy, Matthias Keicher, and Nassir Navab
@article{baniharouni2026language,title={Language Agents for Hypothesis-Driven Clinical Decision Making with Reinforcement Learning},author={Bani-Harouni, David and Pellegrini, Chantal and Özsoy, Ege and Keicher, Matthias and Navab, Nassir},journal={ICLR},year={2026},}
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
@article{baniharouni2026rewarding,title={Rewarding Doubt: A Reinforcement Learning Approach to Calibrated Confidence Expression of Large Language Models},author={Bani-Harouni, David and Pellegrini, Chantal and Stangel, Paul and Özsoy, Ege and Zaripova, Kamilia and Keicher, Matthias and Navab, Nassir},journal={ICLR},year={2026},}
2025
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
@article{oezsoy2025orqa,title={{ORQA}: A Benchmark and Foundation Model for Holistic Operating Room Modeling},author={Özsoy, Ege and Pellegrini, Chantal and Bani-Harouni, David and Yuan, Kun and Keicher, Matthias and Navab, Nassir},journal={Preprint},year={2025},}
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
@article{oezsoy2025mmor,title={{MM-OR}: A Large Multimodal Operating Room Dataset for Semantic Understanding of High-Intensity Surgical Environments},author={Özsoy, Ege and Pellegrini, Chantal and Czempiel, Tobias and Tristram, Felix and Yuan, Kun and Bani-Harouni, David and Eck, Ulrich and Busam, Benjamin and Keicher, Matthias and Navab, Nassir},journal={CVPR},year={2025},}
@article{baniharouni2024magda,title={{MAGDA}: Multi-Agent Guideline-Driven Diagnostic Assistance},author={Bani-Harouni, David and Navab, Nassir and Keicher, Matthias},journal={MICCAI MedAGI},year={2024},}
2023
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
@article{keicher2023multimodal,title={Multimodal Graph Attention Network for {COVID-19} Outcome Prediction},author={Keicher, Matthias and Burwinkel, Hendrik and Bani-Harouni, David and Paschali, Magdalini and Czempiel, Tobias and Burian, Egon and Makowski, Marcus R. and Braren, Rickmer and Navab, Nassir and Wendler, Thomas},journal={Scientific Reports},year={2023},}
Gradient Self-Alignment in Private Deep Learning
David Bani-Harouni, Tamara T. Mueller, Daniel Rueckert, and Georgios Kaissis
@article{baniharouni2023gradient,title={Gradient Self-Alignment in Private Deep Learning},author={Bani-Harouni, David and Mueller, Tamara T. and Rueckert, Daniel and Kaissis, Georgios},journal={MICCAI CareAI},year={2023},}
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
@article{zellner2023toxnet,title={{ToxNet}: An Artificial Intelligence Designed for Decision Support for Toxin Prediction},author={Zellner, Tobias and Romanek, Katrin and Rabe, Christian and Schmoll, Sabrina and Geith, Stefanie and Heier, Eva-Carina and Stich, Raphael and Burwinkel, Hendrik and Keicher, Matthias and Bani-Harouni, David and Navab, Nassir and Ahmadi, Seyed-Ahmad and Eyer, Florian},journal={Clinical Toxicology},year={2023},}
2020
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
@article{burwinkel2020intoxication,title={Decision Support for Intoxication Prediction Using Graph Convolutional Networks},author={Burwinkel, Hendrik and Keicher, Matthias and Bani-Harouni, David and Zellner, Tobias and Navab, Nassir and Ahmadi, Seyed-Ahmad and Eyer, Florian},journal={MICCAI},year={2020},}