David Bani-Harouni

I am a PhD Student at the Computer-Aided Medical Procedures (CAMP) group under the supervision of Prof. Nassir Navab. My research focuses on reinforcement learning for LLMs, e.g. for calibrated confidence expressions. I also investigate how agents can be trained for hypothesis-driven accurate and cost-effective clinical decision-making.

Before my PhD, I completed my master’s and bachelor’s degrees in computer science at TUM with a semester abroad at the National University of Singapore.

News

Oct 2026	DeToxR has won the Best Student Paper Award at the AMAI workshop at MICCAI 2026.
Jul 2026	One main track paper, ConRad, and one workshop paper, DeToxR, have been accepted to MICCAI 2026.
Apr 2026	I was part of the delegation from the Munich Center of Machine Learning to visit the UK and strengthen collaboration with their universities.
Jan 2026	Two papers, Rewarding Doubt and LA-CDM have been accepted to ICLR 2026 in Rio de Janeiro.
Sep 2024	MAGDA was published at MedAGI@MICCAI 2024.
Nov 2023	U-GAT, a graph-based method for COVID-19 outcome predictions was published in Nature Scientific Reports.
Oct 2023	Our paper Gradient Self-alignment in Private Deep Learning, based on my master’s thesis with Prof. Daniel Rückert was published at CareAI@MICCAI 2023.
Jun 2023	I started my PhD at the Technical University of Munich under the supervision of Prof. Nassir Navab.

Selected Publications

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

arXiv Bib Code

@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},
}

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

arXiv Bib Code

@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

ICLR, 2026

arXiv Bib Code

@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},
}

MAGDA: Multi-Agent Guideline-Driven Diagnostic Assistance

David Bani-Harouni, Nassir Navab, and Matthias Keicher

MICCAI MedAGI, 2024

arXiv Bib

@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},
}