Zobrazeno 1 - 10
of 25 544
pro vyhledávání: '"Dyke SO"'
Autor:
Lammert, Jacqueline, Pfarr, Nicole, Kuligin, Leonid, Mathes, Sonja, Dreyer, Tobias, Modersohn, Luise, Metzger, Patrick, Ferber, Dyke, Kather, Jakob Nikolas, Truhn, Daniel, Adams, Lisa Christine, Bressem, Keno Kyrill, Lange, Sebastian, Schwamborn, Kristina, Boeker, Martin, Kiechle, Marion, Schatz, Ulrich A., Bronger, Holger, Tschochohei, Maximilian
Rare gynecological tumors (RGTs) present major clinical challenges due to their low incidence and heterogeneity. The lack of clear guidelines leads to suboptimal management and poor prognosis. Molecular tumor boards accelerate access to effective the
Externí odkaz:
http://arxiv.org/abs/2409.00544
Autor:
Liu, Mira M., Dyke, Jonathan, Gladytz, Thomas, Jasse, Jonas, Bolger, Ian, Calle, Sergio, Pavaluri, Swathi, Crews, Tanner, Seshan, Surya, Salvatore, Steven, Stillman, Isaac, Muthukumar, Thangamani, Taouli, Bachir, Farouk, Samira, Lewis, Sara, Bane, Octavia
Purpose: Estimation of multi-compartment intravoxel flow in fD in ml/100g/min with multi-b-value diffusion weighted imaging and a multi-Gaussian model in the kidneys. Theory and Methods: A multi-Gaussian model of intravoxel flow using water transport
Externí odkaz:
http://arxiv.org/abs/2408.06427
Autor:
Clusmann, Jan, Ferber, Dyke, Wiest, Isabella C., Schneider, Carolin V., Brinker, Titus J., Foersch, Sebastian, Truhn, Daniel, Kather, Jakob N.
Vision-language artificial intelligence models (VLMs) possess medical knowledge and can be employed in healthcare in numerous ways, including as image interpreters, virtual scribes, and general decision support systems. However, here, we demonstrate
Externí odkaz:
http://arxiv.org/abs/2407.18981
Autor:
Arasteh, Soroosh Tayebi, Lotfinia, Mahshad, Bressem, Keno, Siepmann, Robert, Ferber, Dyke, Kuhl, Christiane, Kather, Jakob Nikolas, Nebelung, Sven, Truhn, Daniel
Large language models (LLMs) have advanced the field of artificial intelligence (AI) in medicine. However LLMs often generate outdated or inaccurate information based on static training datasets. Retrieval augmented generation (RAG) mitigates this by
Externí odkaz:
http://arxiv.org/abs/2407.15621
Autor:
Ferber, Dyke, Hilgers, Lars, Wiest, Isabella C., Leßmann, Marie-Elisabeth, Clusmann, Jan, Neidlinger, Peter, Zhu, Jiefu, Wölflein, Georg, Lammert, Jacqueline, Tschochohei, Maximilian, Böhme, Heiko, Jäger, Dirk, Aldea, Mihaela, Truhn, Daniel, Höper, Christiane, Kather, Jakob Nikolas
Matching cancer patients to clinical trials is essential for advancing treatment and patient care. However, the inconsistent format of medical free text documents and complex trial eligibility criteria make this process extremely challenging and time
Externí odkaz:
http://arxiv.org/abs/2407.13463
Interstellar Neutral Hydrogen in the Heliosphere: New Horizons Observations in the Context of Models
Autor:
Swaczyna, P., Bzowski, M., Dialynas, K., Dyke, L., Fraternale, F., Galli, A., Heerikhuisen, J., Kornbleuth, M. Z., Koutroumpa, D., Kowalska-Leszczyńska, I., Kubiak, M. A., Michael, A. T., Müller, H. -R., Opher, M., Rahmanifard, F.
Publikováno v:
The Astrophysical Journal Letters 969:L20 (2024)
Interstellar neutral (ISN) hydrogen is the most abundant species in the outer heliosheath and the very local interstellar medium (VLISM). Charge exchange collisions in the outer heliosheath result in filtration, reducing the ISN hydrogen density insi
Externí odkaz:
http://arxiv.org/abs/2406.09915
Autor:
Dyke, Lucas, Müller, Hans-Reinhard
Radiation pressure exerted by solar photon output is salient to the motion of primary neutral hydrogen atoms streaming into the inner heliosphere directly from the Local Interstellar Medium (LISM). The action of a time-dependent radiation pressure fo
Externí odkaz:
http://arxiv.org/abs/2404.17659
Autor:
Ferber, Dyke, Nahhas, Omar S. M. El, Wölflein, Georg, Wiest, Isabella C., Clusmann, Jan, Leßman, Marie-Elisabeth, Foersch, Sebastian, Lammert, Jacqueline, Tschochohei, Maximilian, Jäger, Dirk, Salto-Tellez, Manuel, Schultz, Nikolaus, Truhn, Daniel, Kather, Jakob Nikolas
Multimodal artificial intelligence (AI) systems have the potential to enhance clinical decision-making by interpreting various types of medical data. However, the effectiveness of these models across all medical fields is uncertain. Each discipline p
Externí odkaz:
http://arxiv.org/abs/2404.04667
To date, the prospect of using real-time hybrid simulation (RTHS) to study the effects of long-term or 'wear-and-tear' loads, such as exposure to harmful environmental conditions or fatigue, has remained underexplored. This study presents a conceptua
Externí odkaz:
http://arxiv.org/abs/2404.01575
Autor:
Ferber, Dyke, Wölflein, Georg, Wiest, Isabella C., Ligero, Marta, Sainath, Srividhya, Laleh, Narmin Ghaffari, Nahhas, Omar S. M. El, Müller-Franzes, Gustav, Jäger, Dirk, Truhn, Daniel, Kather, Jakob Nikolas
Medical image classification requires labeled, task-specific datasets which are used to train deep learning networks de novo, or to fine-tune foundation models. However, this process is computationally and technically demanding. In language processin
Externí odkaz:
http://arxiv.org/abs/2403.07407