Zobrazeno 1 - 10
of 497
pro vyhledávání: '"Neumuth, Thomas"'
Autor:
Berger, Johann, Unger, Michael, Keller, Johannes, Reich, C. Martin, Neumuth, Thomas, Melzer, Andreas
The percutaneous biopsy is a critical intervention for diagnosis and staging in cancer therapy. Robotic systems can improve the efficiency and outcome of such procedures while alleviating stress for physicians and patients. However, the high complexi
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A93062
https://ul.qucosa.de/api/qucosa%3A93062/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A93062/attachment/ATT-0/
Autor:
Tamer, Abdulbaki Alshirbaji, Jalal, Nour Aldeen, Docherty, Paul David, Neumuth, Thomas, Möller, Knut
Deep learning approaches have been explored for surgical tool classification in laparoscopic videos. Convolutional neural networks (CNN) are prominent among the proposed approaches. However, concerns about the robustness and generalisability of CNN a
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A90675
https://ul.qucosa.de/api/qucosa%3A90675/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A90675/attachment/ATT-0/
Autor:
Wald, Theresa, Zebralla, Veit, Boege, Maren, Kunz, Viktor, Neumuth, Thomas, Dietz, Andreas, Wichmann, Gunnar, Wiegand, Susanne
Background: Patient-reported outcomes (PRO) assess disease burden and indicate unmet needs. Home-based electronic PRO measures (ePROMs) can support tumor aftercare (TAC). Creating an ePROM is the next step after implementing the software “OncoFunct
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A90299
https://ul.qucosa.de/api/qucosa%3A90299/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A90299/attachment/ATT-0/
Autor:
Buyer, Julia, Oeser, Alexander, Grieb, Nora, Dietz, Andreas, Neumuth, Thomas, Stoehr, Matthaeus
Making complex medical decisions is becoming an increasingly challenging task due to the growing amount of available evidence to consider and the higher demand for personalized treatment and patient care. IT systems for the provision of clinical deci
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A85894
https://ul.qucosa.de/api/qucosa%3A85894/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A85894/attachment/ATT-0/
Autor:
Broemer, Laura, Friedrich, Michael, Wichmann, Gunnar, Müller, Juliane, Neumuth, Thomas, Dietz, Andreas, Mehnert, Anja, Wiegand, Susanne, Zebralla, Veit
Background Compared with other malignancies, head and neck cancer (HNC) increases the risk of not returning to work (RTW). Methods Within a cross-sectional study, patients with HNC filled out the OncoFunction questionnaire, a version of the Internati
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A85797
https://ul.qucosa.de/api/qucosa%3A85797/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A85797/attachment/ATT-0/
Autor:
Huehn, Marius, Gaebel, Jan, Oeser, Alexander, Dietz, Andreas, Neumuth, Thomas, Wichmann, Gunnar, Stoehr, Matthaeus
New diagnostic methods and novel therapeutic agents spawn additional and heterogeneous information, leading to an increasingly complex decision-making process for optimal treatment of cancer. A great amount of information is collected in organ-specif
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A85085
https://ul.qucosa.de/api/qucosa%3A85085/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A85085/attachment/ATT-0/
Autor:
Zebralla, Veit, Wiegand, Susanne, Dietz, Andreas, Wichmann, Gunnar, Neumuth, Thomas, Mehnert-Theuerkauf, Anja, Hinz, Andreas
Background: Head and neck cancer (HNC)-specific symptoms have a substantial impact on health-related quality of life. The aim of this study was to determine whether self-reported dysphagia, voice problems and pain of HNC patients changed over time an
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A84997
https://ul.qucosa.de/api/qucosa%3A84997/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A84997/attachment/ATT-0/
Autor:
Ferle, Maximilian, Grieb, Nora, Kreuz, Markus, Platzbecker, Uwe, Neumuth, Thomas, Reiche, Kristin, Oeser, Alexander, Merz, Maximilian
The ability to accurately predict disease progression is paramount for optimizing multiple myeloma patient care. This study introduces a hybrid neural network architecture, combining Long Short-Term Memory networks with a Conditional Restricted Boltz
Externí odkaz:
http://arxiv.org/abs/2405.18051
Autor:
Zebralla, Veit, Müller, Juliane, Wald, Theresa, Boehm, Andreas, Wichmann, Gunnar, Berger, Thomas, Birnbaum, Klemens, Heuermann, Katharina, Oeltze-Jafra, Steffen, Neumuth, Thomas, Singer, Susanne, Büttner, Matthias, Dietz, Andreas, Wiegand, Susanne
The disease and treatment of patients with head and neck cancer can lead to multiple late and long-term sequelae. Especially pain, psychosocial problems, and voice issues can have a high impact on patients’ health-related quality of life. The aim w
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A84187
https://ul.qucosa.de/api/qucosa%3A84187/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A84187/attachment/ATT-0/
Widespread adoption of AI for medical decision making is still hindered due to ethical and safety-related concerns. For AI-based decision support systems in healthcare settings it is paramount to be reliable and trustworthy. Common deep learning appr
Externí odkaz:
http://arxiv.org/abs/2401.13657