Decision Support for Intoxication Prediction Using Graph Convolutional Networks. - Hendrik Burwinkel; Matthias Keicher; David Bani-Harouni; Tobias Zellner; Florian Eyer; Nassir Navab; Seyed-Ahmad Ahmadi (MICCAI (2), 2020)

U-GAT: 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; Thomas Wendler 001 (CoRR, 2021)

Gradient Self-alignment in Private Deep Learning. - David Bani-Harouni; Tamara T. Mueller; Daniel Rueckert; Georgios Kaissis (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

MAGDA: Multi-agent Guideline-Driven Diagnostic Assistance. - David Bani-Harouni; Nassir Navab; Matthias Keicher (MedAGI@MICCAI, 2024)

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 004; David Bani-Harouni; Ulrich Eck; Benjamin Busam; Matthias Keicher; Nassir Navab (CVPR, 2025)

Rewarding Doubt: A Reinforcement Learning Approach to Confidence Calibration of Large Language Models. - Paul Stangel; David Bani-Harouni; Chantal Pellegrini; Ege Özsoy; Kamilia Zaripova; Matthias Keicher; Nassir Navab (CoRR, 2025)

ORQA: A Benchmark and Foundation Model for Holistic Operating Room Modeling. - Ege Özsoy; Chantal Pellegrini; David Bani-Harouni; Kun Yuan 004; Matthias Keicher; Nassir Navab (CoRR, 2025)

From EHRs to Patient Pathways: Scalable Modeling of Longitudinal Health Trajectories with LLMs. - Chantal Pellegrini; Ege Özsoy; David Bani-Harouni; Matthias Keicher; Nassir Navab (CoRR, 2025)

Language Agents for Hypothesis-driven Clinical Decision Making with Reinforcement Learning. - David Bani-Harouni; Chantal Pellegrini; Ege Özsoy; Matthias Keicher; Nassir Navab (CoRR, 2025)