Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Menten, Martin J"'
In natural language processing and computer vision, self-supervised pre-training on large datasets unlocks foundational model capabilities across domains and tasks. However, this potential has not yet been realised in time series analysis, where exis
Externí odkaz:
http://arxiv.org/abs/2410.07299
Autor:
Holland, Robbie, Taylor, Thomas R. P., Holmes, Christopher, Riedl, Sophie, Mai, Julia, Patsiamanidi, Maria, Mitsopoulou, Dimitra, Hager, Paul, Müller, Philip, Scholl, Hendrik P. N., Bogunović, Hrvoje, Schmidt-Erfurth, Ursula, Rueckert, Daniel, Sivaprasad, Sobha, Lotery, Andrew J., Menten, Martin J.
Clinicians spend a significant amount of time reviewing medical images and transcribing their findings regarding patient diagnosis, referral and treatment in text form. Vision-language models (VLMs), which automatically interpret images and summarize
Externí odkaz:
http://arxiv.org/abs/2407.08410
Autor:
Holland, Robbie, Kaye, Rebecca, Hagag, Ahmed M., Leingang, Oliver, Taylor, Thomas R. P., Bogunović, Hrvoje, Schmidt-Erfurth, Ursula, Scholl, Hendrik P. N., Rueckert, Daniel, Lotery, Andrew J., Sivaprasad, Sobha, Menten, Martin J.
Diseases are currently managed by grading systems, where patients are stratified by grading systems into stages that indicate patient risk and guide clinical management. However, these broad categories typically lack prognostic value, and proposals f
Externí odkaz:
http://arxiv.org/abs/2405.09549
Autor:
Shen, Chengzhi, Menten, Martin J., Bogunović, Hrvoje, Schmidt-Erfurth, Ursula, Scholl, Hendrik, Sivaprasad, Sobha, Lotery, Andrew, Rueckert, Daniel, Hager, Paul, Holland, Robbie
Analyzing temporal developments is crucial for the accurate prognosis of many medical conditions. Temporal changes that occur over short time scales are key to assessing the health of physiological functions, such as the cardiac cycle. Moreover, trac
Externí odkaz:
http://arxiv.org/abs/2403.07513
Autor:
Berger, Alexander H., Lux, Laurin, Shit, Suprosanna, Ezhov, Ivan, Kaissis, Georgios, Menten, Martin J., Rueckert, Daniel, Paetzold, Johannes C.
Direct image-to-graph transformation is a challenging task that involves solving object detection and relationship prediction in a single model. Due to this task's complexity, large training datasets are rare in many domains, making the training of d
Externí odkaz:
http://arxiv.org/abs/2403.06601
Autor:
Meissen, Felix, Getzner, Johannes, Ziller, Alexander, Turgut, Özgün, Kaissis, Georgios, Menten, Martin J., Rueckert, Daniel
Unsupervised anomaly detection (UAD) alleviates large labeling efforts by training exclusively on unlabeled in-distribution data and detecting outliers as anomalies. Generally, the assumption prevails that large training datasets allow the training o
Externí odkaz:
http://arxiv.org/abs/2312.03804
Autor:
Feiner, Leonhard F., Menten, Martin J., Hammernik, Kerstin, Hager, Paul, Huang, Wenqi, Rueckert, Daniel, Braren, Rickmer F., Kaissis, Georgios
Uncertainty estimation, which provides a means of building explainable neural networks for medical imaging applications, have mostly been studied for single deep learning models that focus on a specific task. In this paper, we propose a method to pro
Externí odkaz:
http://arxiv.org/abs/2309.16831
Autor:
Dima, Alina F., Zimmer, Veronika A., Menten, Martin J., Li, Hongwei Bran, Graf, Markus, Lemke, Tristan, Raffler, Philipp, Graf, Robert, Kirschke, Jan S., Braren, Rickmer, Rueckert, Daniel
Automated segmentation of the blood vessels in 3D volumes is an essential step for the quantitative diagnosis and treatment of many vascular diseases. 3D vessel segmentation is being actively investigated in existing works, mostly in deep learning ap
Externí odkaz:
http://arxiv.org/abs/2309.08481
Autor:
Menten, Martin J., Paetzold, Johannes C., Zimmer, Veronika A., Shit, Suprosanna, Ezhov, Ivan, Holland, Robbie, Probst, Monika, Schnabel, Julia A., Rueckert, Daniel
The skeleton of a digital image is a compact representation of its topology, geometry, and scale. It has utility in many computer vision applications, such as image description, segmentation, and registration. However, skeletonization has only seen l
Externí odkaz:
http://arxiv.org/abs/2309.02527
Autor:
Turgut, Özgün, Müller, Philip, Hager, Paul, Shit, Suprosanna, Starck, Sophie, Menten, Martin J., Martens, Eimo, Rueckert, Daniel
The electrocardiogram (ECG) is a widely available diagnostic tool that allows for a cost-effective and fast assessment of the cardiovascular health. However, more detailed examination with expensive cardiac magnetic resonance (CMR) imaging is often p
Externí odkaz:
http://arxiv.org/abs/2308.05764