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Journal Articles
- 2024
[j1]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): 5253 (2024)
Conference and Workshop Papers
- 2024
- [c9]Philip Müller, Georgios Kaissis, Daniel Rueckert:
ChEX: Interactive Localization and Region Description in Chest X-Rays. ECCV (21) 2024: 92-111 - [c8]Michelle Espranita Liman, Daniel Rueckert, Florian J. Fintelmann, Philip Müller:
Diffusion-Based Generative Image Outpainting for Recovery of FOV-Truncated CT Images. MICCAI (1) 2024: 14-23 - [c7]Mohammed Munzer Dwedari, William Consagra, Philip Müller, Özgün Turgut, Daniel Rueckert, Yogesh Rathi:
Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans. MICCAI (7) 2024: 307-317 - 2023
- [c6]Tim Tanida, Philip Müller, Georgios Kaissis, Daniel Rueckert:
Interactive and Explainable Region-guided Radiology Report Generation. CVPR 2023: 7433-7442 - [c5]Congyu Zou, Mikhael Djajapermana, Eimo Martens, Alexander Müller, Daniel Rückert, Philip Müller, Alexander Steger, Matthias Becker, Wolfgang Utschick:
DWT-CNNTRN: a Convolutional Transformer for ECG Classification with Discrete Wavelet Transform. EMBC 2023: 1-6 - [c4]Philip Müller, Felix Meissen, Johannes Brandt, Georgios Kaissis, Daniel Rueckert:
Anatomy-Driven Pathology Detection on Chest X-rays. MICCAI (1) 2023: 57-66 - [c3]Felix Meissen, Philip Müller, Georgios Kaissis, Daniel Rueckert:
Robust Detection Outcome: A Metric for Pathology Detection in Medical Images. MIDL 2023: 568-585 - 2022
- [c2]Philip Müller, Georgios Kaissis, Congyu Zou, Daniel Rueckert:
Joint Learning of Localized Representations from Medical Images and Reports. ECCV (26) 2022: 685-701 - [c1]Philip Müller, Georgios Kaissis, Congyu Zou, Daniel Rueckert:
Radiological Reports Improve Pre-training for Localized Imaging Tasks on Chest X-Rays. MICCAI (5) 2022: 647-657
Informal and Other Publications
- 2024
- [i16]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 abs/2402.11985 (2024) - [i15]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 abs/2404.07622 (2024) - [i14]Philip Müller, Georgios Kaissis, Daniel Rueckert:
ChEX: Interactive Localization and Region Description in Chest X-rays. CoRR abs/2404.15770 (2024) - [i13]Michelle Espranita Liman, Daniel Rueckert, Florian J. Fintelmann, Philip Müller:
Diffusion-based Generative Image Outpainting for Recovery of FOV-Truncated CT Images. CoRR abs/2406.04769 (2024) - [i12]Andrea Posada, Daniel Rueckert, Felix Meissen, Philip Müller:
Evaluation of Language Models in the Medical Context Under Resource-Constrained Settings. CoRR abs/2406.16611 (2024) - [i11]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 abs/2407.08410 (2024) - [i10]Mohammed Munzer Dwedari, William Consagra, Philip Müller, Özgün Turgut, Daniel Rueckert, Yogesh Rathi:
Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans. CoRR abs/2409.09387 (2024) - [i9]Özgün Turgut, Philip Müller, Martin J. Menten, Daniel Rueckert:
Towards Generalisable Time Series Understanding Across Domains. CoRR abs/2410.07299 (2024) - 2023
- [i8]Felix Meissen, Philip Müller, Georgios Kaissis, Daniel Rueckert:
Robust Detection Outcome: A Metric for Pathology Detection in Medical Images. CoRR abs/2303.01920 (2023) - [i7]Tim Tanida, Philip Müller, Georgios Kaissis, Daniel Rueckert:
Interactive and Explainable Region-guided Radiology Report Generation. CoRR abs/2304.08295 (2023) - [i6]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 abs/2307.06614 (2023) - [i5]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 abs/2308.05764 (2023) - [i4]Philip Müller, Felix Meissen, Johannes Brandt, Georgios Kaissis, Daniel Rueckert:
Anatomy-Driven Pathology Detection on Chest X-rays. CoRR abs/2309.02578 (2023) - 2022
- [i3]Philip Müller, Georgios Kaissis, Daniel Rueckert:
The Role of Local Alignment and Uniformity in Image-Text Contrastive Learning on Medical Images. CoRR abs/2211.07254 (2022) - 2021
- [i2]Philip Müller, Vladimir Golkov, Valentina Tomassini, Daniel Cremers:
Rotation-Equivariant Deep Learning for Diffusion MRI. CoRR abs/2102.06942 (2021) - [i1]Philip Müller, Georgios Kaissis, Congyu Zou, Daniel Rueckert:
Joint Learning of Localized Representations from Medical Images and Reports. CoRR abs/2112.02889 (2021)
Coauthor Index
aka: Daniel Rückert
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