Chantal Pellegrini

According to our database, Chantal Pellegrini authored at least 16 papers between 2021 and 2025.

Collaborative distances:

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

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

EgoExOR: An Ego-Exo-Centric Operating Room Dataset for Surgical Activity Understanding.

Ege Özsoy, Arda Mamur, Felix Tristram, Chantal Pellegrini, Magdalena Wysocki, Benjamin Busam, Nassir Navab

CoRR, May, 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

Location-Free Scene Graph Generation.

Ege Özsoy, Felix Holm, Chantal Pellegrini, Tobias Czempiel, Mahdi Saleh, Nassir Navab, Benjamin Busam

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

2024

ORacle: Large Vision-Language Models for Knowledge-Guided Holistic OR Domain Modeling.

Ege Özsoy, Chantal Pellegrini, Matthias Keicher, Nassir Navab

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Unsupervised pre-training of graph transformers on patient population graphs.

Chantal Pellegrini, Nassir Navab, Anees Kazi

Medical Image Anal., October, 2023

RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conversational Assistance.

Chantal Pellegrini, Ege Özsoy, Benjamin Busam, Nassir Navab, Matthias Keicher

CoRR, 2023

Rad-ReStruct: A Novel VQA Benchmark and Method for Structured Radiology Reporting.

Chantal Pellegrini, Matthias Keicher, Ege Özsoy, Nassir Navab

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

Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis.

Chantal Pellegrini, Matthias Keicher, Ege Özsoy, Petra Jiraskova, Rickmer Braren, Nassir Navab

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

LABRAD-OR: Lightweight Memory Scene Graphs for Accurate Bimodal Reasoning in Dynamic Operating Rooms.

Ege Özsoy, Tobias Czempiel, Felix Holm, Chantal Pellegrini, Nassir Navab

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

2022

Geometry-Aware Neural Solver for Fast Bayesian Calibration of Brain Tumor Models.

Ivan Ezhov, Tudor Mot, Suprosanna Shit, Jana Lipková, Johannes C. Paetzold, Florian Kofler, Chantal Pellegrini, Marcel Kollovieh, Fernando Navarro, Hongwei Li, Marie Metz, Benedikt Wiestler, Bjoern H. Menze

IEEE Trans. Medical Imaging, 2022

Unsupervised Pre-Training on Patient Population Graphs for Patient-Level Predictions.

Chantal Pellegrini, Anees Kazi, Nassir Navab

CoRR, 2022

2021

Exploiting Food Embeddings for Ingredient Substitution.

Chantal Pellegrini, Ege Özsoy, Monika Wintergerst, Georg Groh

Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021