Philip Müller

36 papers A* 1Journal 25Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Benchmarking Uncertainty Calibration in Large Language Model Long-Form Question Answering. CoRR Philip Müller, Nicholas Popovic, Michael Färber, Peter Steinbach
2026	J	`jnl`	Echo2ECG: Enhancing ECG Representations with Cardiac Morphology from Multi-View Echos. CoRR Michelle Espranita Liman, Özgün Turgut, Alexander Müller, Eimo Martens, Daniel Rueckert, Philip Müller
2026	J	`jnl`	Multi-View Stenosis Classification Leveraging Transformer-Based Multiple-Instance Learning Using Real-World Clinical Data. CoRR Nikola Cenikj, Özgün Turgut, Alexander Müller, Alexander Steger, Jan Kehrer, Marcus Brugger, Daniel Rueckert, Eimo Martens, Philip Müller
2025	—	`conf`	Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG. MICCAI (1) Alexander Selivanov, Philip Müller, Özgün Turgut, Nil Stolt Ansó, Daniel Rueckert
2025	J	`jnl`	Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG. CoRR Alexander Selivanov, Philip Müller, Özgün Turgut, Nil Stolt Ansó, Daniel Rückert
2025	J	`jnl`	LungEvaty: A Scalable, Open-Source Transformer-based Deep Learning Model for Lung Cancer Risk Prediction in LDCT Screening. CoRR Johannes Brandt, Maulik Chevli, Rickmer Braren, Georgios Kaissis, Philip Müller, Daniel Rueckert
2025	J	`jnl`	Specialized curricula for training vision language models in retinal image analysis. npj Digit. Medicine Robbie Holland, Thomas R. P. Taylor, Christopher Holmes, Sophie Riedl, Julia Mai, Maria Patsiamanidi, Dimitra Mitsopoulou, Paul Hager, Philip Müller, Johannes C. Paetzold, Hendrik P. N. Scholl, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Daniel Rueckert, Sobha Sivaprasad, Andrew J. Lotery, Martin J. Menten, Toby Prevost, Lars Fritsche, Kristina Pfau, Maximilian Pfau
2025	J	`jnl`	Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging. Medical Image Anal. Özgün Turgut, Philip Müller, Paul Hager, Suprosanna Shit, Sophie Starck, Martin J. Menten, Eimo Martens, Daniel Rueckert
2025	J	`jnl`	Weakly Supervised Object Detection in Chest X-Rays With Differentiable ROI Proposal Networks and Soft ROI Pooling. IEEE Trans. Medical Imaging Philip Müller, Felix Meissen, Georgios Kaissis, Daniel Rueckert
2024	J	`jnl`	Akantu: an HPC finite-element library for contact and dynamic fracture simulations. J. Open Source Softw. Nicolas Richart, Guillaume Anciaux, Emil R. Gallyamov, Lucas Frérot, David S. Kammer, Mohit Pundir, Marco Vocialta, Aurelia Isabel Cuba Ramos, Mauro Corrado, Philip Müller, Fabian Barras, Shenghan Zhang, Roxane Ferry, Shad Durussel, Jean-François Molinari
2024	—	`conf`	ChEX: Interactive Localization and Region Description in Chest X-Rays. ECCV (21) Philip Müller, Georgios Kaissis, Daniel Rueckert
2024	J	`jnl`	ChEX: Interactive Localization and Region Description in Chest X-rays. CoRR Philip Müller, Georgios Kaissis, Daniel Rueckert
2024	—	`conf`	Diffusion-Based Generative Image Outpainting for Recovery of FOV-Truncated CT Images. MICCAI (1) Michelle Espranita Liman, Daniel Rueckert, Florian J. Fintelmann, Philip Müller
2024	J	`jnl`	Diffusion-based Generative Image Outpainting for Recovery of FOV-Truncated CT Images. CoRR Michelle Espranita Liman, Daniel Rueckert, Florian J. Fintelmann, Philip Müller
2024	—	`conf`	Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans. MICCAI (7) Mohammed Munzer Dwedari, William Consagra, Philip Müller, Özgün Turgut, Daniel Rueckert, Yogesh Rathi
2024	J	`jnl`	Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans. CoRR Mohammed Munzer Dwedari, William Consagra, Philip Müller, Özgün Turgut, Daniel Rueckert, Yogesh Rathi
2024	J	`jnl`	Evaluation of Language Models in the Medical Context Under Resource-Constrained Settings. CoRR Andrea Posada, Daniel Rueckert, Felix Meissen, Philip Müller
2024	—	`conf`	Language Models Meet Anomaly Detection for Better Interpretability and Generalizability. LDTM/MMMI/ML4MHD/ML-CDS@MICCAI Jun Li, Su Hwan Kim, Philip Müller, Lina Felsner, Daniel Rueckert, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea
2024	J	`jnl`	Multi-Image Visual Question Answering for Unsupervised Anomaly Detection. CoRR Jun Li, Cosmin I. Bercea, Philip Müller, Lina Felsner, Su Hwan Kim, Daniel Rueckert, Benedikt Wiestler, Julia A. Schnabel
2024	J	`jnl`	Specialist vision-language models for clinical ophthalmology. CoRR Robbie Holland, Thomas R. P. Taylor, Christopher Holmes, Sophie Riedl, Julia Mai, Maria Patsiamanidi, Dimitra Mitsopoulou, Paul Hager, Philip Müller, Hendrik P. N. Scholl, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Daniel Rueckert, Sobha Sivaprasad, Andrew J. Lotery, Martin J. Menten
2024	J	`jnl`	Towards Generalisable Time Series Understanding Across Domains. CoRR Özgün Turgut, Philip Müller, Martin J. Menten, Daniel Rueckert
2024	J	`jnl`	Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling. CoRR Philip Müller, Felix Meissen, Georgios Kaissis, Daniel Rueckert
2023	—	`conf`	Anatomy-Driven Pathology Detection on Chest X-rays. MICCAI (1) Philip Müller, Felix Meissen, Johannes Brandt, Georgios Kaissis, Daniel Rueckert
2023	J	`jnl`	Anatomy-Driven Pathology Detection on Chest X-rays. CoRR Philip Müller, Felix Meissen, Johannes Brandt, Georgios Kaissis, Daniel Rueckert
2023	—	`conf`	DWT-CNNTRN: a Convolutional Transformer for ECG Classification with Discrete Wavelet Transform. EMBC Congyu Zou, Mikhael Djajapermana, Eimo Martens, Alexander Müller, Daniel Rückert, Philip Müller, Alexander Steger, Matthias Becker, Wolfgang Utschick
2023	J	`jnl`	Explainable 2D Vision Models for 3D Medical Data. CoRR Alexander Ziller, Alp Güvenir, Ayhan Can Erdur, Tamara T. Mueller, Philip Müller, Friederike Jungmann, Johannes Brandt, Jan Peeken, Rickmer Braren, Daniel Rueckert, Georgios Kaissis
2023	A*	`conf`	Interactive and Explainable Region-guided Radiology Report Generation. CVPR Tim Tanida, Philip Müller, Georgios Kaissis, Daniel Rueckert
2023	J	`jnl`	Interactive and Explainable Region-guided Radiology Report Generation. CoRR Tim Tanida, Philip Müller, Georgios Kaissis, Daniel Rueckert
2023	—	`conf`	Robust Detection Outcome: A Metric for Pathology Detection in Medical Images. MIDL Felix Meissen, Philip Müller, Georgios Kaissis, Daniel Rueckert
2023	J	`jnl`	Robust Detection Outcome: A Metric for Pathology Detection in Medical Images. CoRR Felix Meissen, Philip Müller, Georgios Kaissis, Daniel Rueckert
2023	J	`jnl`	Unlocking the Diagnostic Potential of ECG through Knowledge Transfer from Cardiac MRI. CoRR Özgün Turgut, Philip Müller, Paul Hager, Suprosanna Shit, Sophie Starck, Martin J. Menten, Eimo Martens, Daniel Rueckert
2022	—	`conf`	Joint Learning of Localized Representations from Medical Images and Reports. ECCV (26) Philip Müller, Georgios Kaissis, Congyu Zou, Daniel Rueckert
2022	—	`conf`	Radiological Reports Improve Pre-training for Localized Imaging Tasks on Chest X-Rays. MICCAI (5) Philip Müller, Georgios Kaissis, Congyu Zou, Daniel Rueckert
2022	J	`jnl`	The Role of Local Alignment and Uniformity in Image-Text Contrastive Learning on Medical Images. CoRR Philip Müller, Georgios Kaissis, Daniel Rueckert
2021	J	`jnl`	Joint Learning of Localized Representations from Medical Images and Reports. CoRR Philip Müller, Georgios Kaissis, Congyu Zou, Daniel Rueckert
2021	J	`jnl`	Rotation-Equivariant Deep Learning for Diffusion MRI. CoRR Philip Müller, Vladimir Golkov, Valentina Tomassini, Daniel Cremers