David Bani-Harouni

Technical University of Munich — Germany

Medicine · Health Sciences

3h-index47citations17works1.22yr avg
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Research Topics

COVID-19 diagnosis using AI(5), Artificial Intelligence in Healthcare and Education(4), Machine Learning in Healthcare(4), Surgical Simulation and Training(3), Cardiac, Anesthesia and Surgical Outcomes(3)

Publications17 total

Knowledge Graph Sparsification for GNN-based Rare Disease Diagnosis
arXiv (Cornell University)·2025Open Access
SpeechCT-CLIP: Distilling Text-Image Knowledge to Speech for Voice-Native Multimodal CT Analysis
arXiv (Cornell University)·2025Open Access
Language Agents for Hypothesis-driven Clinical Decision Making with Reinforcement Learning
arXiv (Cornell University)·2025Open Access
MM-OR: A Large Multimodal Operating Room Dataset for Semantic Understanding of High-Intensity Surgical Environments
2025· 8 cited
From EHRs to Patient Pathways: Scalable Modeling of Longitudinal Health Trajectories with LLMs
arXiv (Cornell University)·2025Open Access
ORQA: A Benchmark and Foundation Model for Holistic Operating Room Modeling
arXiv (Cornell University)·2025Open Access
MM-OR: A Large Multimodal Operating Room Dataset for Semantic Understanding of High-Intensity Surgical Environments
arXiv (Cornell University)·2025Open Access
MAGDA: Multi-agent Guideline-Driven Diagnostic Assistance
Lecture notes in computer science·2024· 3 cited
MAGDA: Multi-agent guideline-driven diagnostic assistance
arXiv (Cornell University)·2024Open Access
Multimodal graph attention network for COVID-19 outcome prediction
Scientific Reports·2023· 25 citedOpen Access
Gradient Self-alignment in Private Deep Learning
Lecture notes in computer science·2023
ToxNet: an artificial intelligence designed for decision support for toxin prediction
Clinical Toxicology·2022· 9 citedOpen Access
Machine Learning
Der Hautarzt·2021· 1 citedOpen Access
U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction
arXiv (Cornell University)·2021Open Access
U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome\n Prediction
arXiv (Cornell University)·2021· 1 citedOpen Access
Decision support for toxin prediction using artificial intelligence
mediaTUM (Technical University of Munich)·2021
Decision Support for Intoxication Prediction Using Graph Convolutional Networks
Lecture notes in computer science·2020Open Access

Frequent Co-authors

Nassir Navab(15), Matthias Keicher(14), Hendrik Burwinkel(6), Chantal Pellegrini(6), Tobias Czempiel(5), Ege Özsoy(5), Magdalini Paschali(3), Egon Burian(3), Marcus R. Makowski(3), Thomas Wendler(3), Tobias Zellner(3), Seyed‐Ahmad Ahmadi(3), Florian Eyer(3), Rickmer Braren(2), Felix Tristram(2), Ulrich Eck(2), Benjamin Busam(2), Katrin Romanek(1), Christian Rabe(1), Sabrina Schmoll(1)