Philip Müller

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 21

Top Topics

Wavelet Transform

Weakly Supervised

Top Venues

Publications

Philip Müller, Felix Meissen, Georgios Kaissis, Daniel Rueckert
Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling. CoRR (2024)
Philip Müller, Georgios Kaissis, Daniel Rueckert
ChEX: Interactive Localization and Region Description in Chest X-rays. CoRR (2024)
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
Specialist vision-language models for clinical ophthalmology. CoRR (2024)
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
Akantu: an HPC finite-element library for contact and dynamic fracture simulations. J. Open Source Softw. 9 (95) (2024)
Michelle Espranita Liman, Daniel Rueckert, Florian J. Fintelmann, Philip Müller
Diffusion-based Generative Image Outpainting for Recovery of FOV-Truncated CT Images. CoRR (2024)
Andrea Posada, Daniel Rueckert, Felix Meissen, Philip Müller
Evaluation of Language Models in the Medical Context Under Resource-Constrained Settings. CoRR (2024)
Jun Li, Cosmin I. Bercea, Philip Müller, Lina Felsner, Suhwan Kim, Daniel Rueckert, Benedikt Wiestler, Julia A. Schnabel
Multi-Image Visual Question Answering for Unsupervised Anomaly Detection. CoRR (2024)
Congyu Zou, Mikhael Djajapermana, Eimo Martens, Alexander Müller, Daniel Rückert, Philip Müller, Alexander Steger, Matthias Becker, Utschick Wolfgang
DWT-CNNTRN: a Convolutional Transformer for ECG Classification with Discrete Wavelet Transform. EMBC (2023)
Felix Meissen, Philip Müller, Georgios Kaissis, Daniel Rueckert
Robust Detection Outcome: A Metric for Pathology Detection in Medical Images. MIDL (2023)
Alexander Ziller, Alp Güvenir, Ayhan Can Erdur, Tamara T. Mueller, Philip Müller, Friederike Jungmann, Johannes Brandt, Jan Peeken, Rickmer Braren, Daniel Rueckert, Georgios Kaissis
Explainable 2D Vision Models for 3D Medical Data. CoRR (2023)
Felix Meissen, Philip Müller, Georgios Kaissis, Daniel Rueckert
Robust Detection Outcome: A Metric for Pathology Detection in Medical Images. CoRR (2023)
Özgün Turgut, Philip Müller, Paul Hager, Suprosanna Shit, Sophie Starck, Martin J. Menten, Eimo Martens, Daniel Rueckert
Unlocking the Diagnostic Potential of ECG through Knowledge Transfer from Cardiac MRI. CoRR (2023)
Tim Tanida, Philip Müller, Georgios Kaissis, Daniel Rueckert
Interactive and Explainable Region-guided Radiology Report Generation. CVPR (2023)
Philip Müller, Felix Meissen, Johannes Brandt, Georgios Kaissis, Daniel Rueckert
Anatomy-Driven Pathology Detection on Chest X-rays. CoRR (2023)
Tim Tanida, Philip Müller, Georgios Kaissis, Daniel Rueckert
Interactive and Explainable Region-guided Radiology Report Generation. CoRR (2023)
Philip Müller, Felix Meissen, Johannes Brandt, Georgios Kaissis, Daniel Rueckert
Anatomy-Driven Pathology Detection on Chest X-rays. MICCAI (1) (2023)
Philip Müller, Georgios Kaissis, Congyu Zou, Daniel Rueckert
Joint Learning of Localized Representations from Medical Images and Reports. ECCV (26) (2022)
Philip Müller, Georgios Kaissis, Daniel Rueckert
The Role of Local Alignment and Uniformity in Image-Text Contrastive Learning on Medical Images. CoRR (2022)
Philip Müller, Georgios Kaissis, Congyu Zou, Daniel Rueckert
Radiological Reports Improve Pre-training for Localized Imaging Tasks on Chest X-Rays. MICCAI (5) (2022)
Philip Müller, Georgios Kaissis, Congyu Zou, Daniel Rueckert
Joint Learning of Localized Representations from Medical Images and Reports. CoRR (2021)
Philip Müller, Vladimir Golkov, Valentina Tomassini, Daniel Cremers
Rotation-Equivariant Deep Learning for Diffusion MRI. CoRR (2021)