David Bani-Harouni

According to our database, David Bani-Harouni authored at least 14 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Learning Diagnostic Reasoning for Decision Support in Toxicology.

Nico Oberländer, David Bani-Harouni, Tobias Zellner, Nassir Navab, Florian Eyer, Matthias Keicher

CoRR, March, 2026

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, Matthias Keicher

CoRR, March, 2026

Specialized foundation models for intelligent operating rooms.

Ege Özsoy, Chantal Pellegrini, David Bani-Harouni, Kun Yuan, Matthias Keicher, Nassir Navab

npj Digit. Medicine, 2026

2025

Knowledge Graph Sparsification for GNN-based Rare Disease Diagnosis.

Premt Cara, Kamilia Zaripova, David Bani-Harouni, Nassir Navab, Azade Farshad

CoRR, October, 2025

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 Pérez-Toro, Nassir Navab, Andreas K. Maier, Tomás Arias-Vergara

CoRR, October, 2025

Language Agents for Hypothesis-driven Clinical Decision Making with Reinforcement Learning.

David Bani-Harouni, Chantal Pellegrini, Ege Özsoy, Matthias Keicher, Nassir Navab

CoRR, June, 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, June, 2025

ORQA: A Benchmark and Foundation Model for Holistic Operating Room Modeling.

Ege Özsoy, Chantal Pellegrini, David Bani-Harouni, Kun Yuan, Matthias Keicher, Nassir Navab

CoRR, May, 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, March, 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, Nassir Navab

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

MAGDA: Multi-agent Guideline-Driven Diagnostic Assistance.

David Bani-Harouni, Nassir Navab, Matthias Keicher

Proceedings of the Foundation Models for General Medical AI, 2024

2023

Gradient Self-alignment in Private Deep Learning.

David Bani-Harouni, Tamara T. Mueller, Daniel Rueckert, Georgios Kaissis

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

2021

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

CoRR, 2021

2020

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020