| 2025 | MICCAI | Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG. | Alexander Selivanov, Philip Mller, zgn Turgut, Nil Stolt Ans, Daniel Rueckert |
| 2024 | ECCV | ChEX: Interactive Localization and Region Description in Chest X-Rays. | Philip Mller, Georgios Kaissis, Daniel Rueckert |
| 2024 | MICCAI | Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans. | Mohammed Munzer Dwedari, William Consagra, Philip Mller, zgn Turgut, Daniel Rueckert, Yogesh Rathi |
| 2024 | MICCAI | Language Models Meet Anomaly Detection for Better Interpretability and Generalizability. | Jun Li, Su Hwan Kim, Philip Mller, Lina Felsner, Daniel Rueckert, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea |
| 2024 | MICCAI | Diffusion-Based Generative Image Outpainting for Recovery of FOV-Truncated CT Images. | Michelle Espranita Liman, Daniel Rueckert, Florian J. Fintelmann, Philip Mller |
| 2023 | CVPR | Interactive and Explainable Region-guided Radiology Report Generation. | Tim Tanida, Philip Mller, Georgios Kaissis, Daniel Rueckert |
| 2023 | MICCAI | Anatomy-Driven Pathology Detection on Chest X-rays. | Philip Mller, Felix Meissen, Johannes Brandt, Georgios Kaissis, Daniel Rueckert |
| 2022 | ECCV | Joint Learning of Localized Representations from Medical Images and Reports. | Philip Mller, Georgios Kaissis, Congyu Zou, Daniel Rueckert |
| 2022 | MICCAI | Radiological Reports Improve Pre-training for Localized Imaging Tasks on Chest X-Rays. | Philip Mller, Georgios Kaissis, Congyu Zou, Daniel Rueckert |