Zobrazeno 1 - 10
of 712
pro vyhledávání: '"Dörfler, Arnd"'
Autor:
Gomaa, Ahmed, Huang, Yixing, Hagag, Amr, Schmitter, Charlotte, Höfler, Daniel, Weissmann, Thomas, Breininger, Katharina, Schmidt, Manuel, Stritzelberger, Jenny, Delev, Daniel, Coras, Roland, Dörfler, Arnd, Schnell, Oliver, Frey, Benjamin, Gaipl, Udo S., Semrau, Sabine, Bert, Christoph, Fietkau, Rainer, Putz, Florian
Background: This research aims to improve glioblastoma survival prediction by integrating MR images, clinical and molecular-pathologic data in a transformer-based deep learning model, addressing data heterogeneity and performance generalizability. Me
Externí odkaz:
http://arxiv.org/abs/2405.12963
Autor:
Sommer, Philipp, Huang, Yixing, Bert, Christoph, Maier, Andreas, Schmidt, Manuel, Dörfler, Arnd, Fietkau, Rainer, Putz, Florian
Stereotactic radiotherapy (SRT) is one of the most important treatment for patients with brain metastases (BM). Conventionally, following SRT patients are monitored by serial imaging and receive salvage treatments in case of significant tumor growth.
Externí odkaz:
http://arxiv.org/abs/2302.08802
Autor:
Liebig, Patrick, Sedykh, Maria, Herz, Kai, Fabian, Moritz S., Mennecke, Angelika, Weinmüller, Simon, Schmidt, Manuel, Dörfler, Arnd, Zaiss, Moritz
CEST suffers from two main problems long acquisitin times or restricted coverage as well as incoherent protocol settings. In this paper we give suggestions on how to optimise your protocol settings fro CEST and present one setting for APT CEST. To in
Externí odkaz:
http://arxiv.org/abs/2207.00261
Autor:
Huang, Yixing, Bert, Christoph, Fischer, Stefan, Schmidt, Manuel, Dörfler, Arnd, Maier, Andreas, Fietkau, Rainer, Putz, Florian
Due to data privacy constraints, data sharing among multiple centers is restricted. Continual learning, as one approach to peer-to-peer federated learning, can promote multicenter collaboration on deep learning algorithm development by sharing interm
Externí odkaz:
http://arxiv.org/abs/2204.13591
Autor:
Stritzelberger, Jenny, Gesmann, Anna, Fuhrmann, Imke, Uhl, Martin, Brandner, Sebastian, Welte, Tamara-M., Schembs, Leah, Dörfler, Arnd, Coras, Roland, Adler, Werner, Schwab, Stefan, Putz, Florian, Fietkau, Rainer, Distel, Luitpold, Hamer, Hajo
Publikováno v:
In Epilepsy & Behavior September 2024 158
Autor:
Huang, Yixing, Bert, Christoph, Sommer, Philipp, Frey, Benjamin, Gaipl, Udo, Distel, Luitpold V., Weissmann, Thomas, Uder, Michael, Schmidt, Manuel A., Dörfler, Arnd, Maier, Andreas, Fietkau, Rainer, Putz, Florian
Publikováno v:
Medical Physics 2022
Brain metastases occur frequently in patients with metastatic cancer. Early and accurate detection of brain metastases is very essential for treatment planning and prognosis in radiation therapy. To improve brain metastasis detection performance with
Externí odkaz:
http://arxiv.org/abs/2112.11833
CT perfusion imaging (CTP) plays an important role in decision making for the treatment of acute ischemic stroke with large vessel occlusion. Since the CT perfusion scan time is approximately one minute, the patient is exposed to a non-negligible dos
Externí odkaz:
http://arxiv.org/abs/2111.01922
Autor:
Kulvait, Vojtěch, Hoelter, Philip, Frysch, Robert, Haseljić, Hana, Doerfler, Arnd, Rose, Georg
Publikováno v:
Kulvait, V, Hoelter, P, Frysch, R, Haselji\'c, H, Doerfler, A, Rose, G. A novel use of time separation technique to improve flat detector CT perfusion imaging in stroke patients. Med Phys. 2022; 1- 14. https://doi.org/10.1002/mp.15640
CT perfusion imaging (CTP) is used in the diagnostic workup of acute ischemic stroke (AIS). CTP may be performed within the angio suite using flat detector CT (FDCT) to help reduce patient management time. In order to significantly improve FDCT perfu
Externí odkaz:
http://arxiv.org/abs/2110.09438
Autor:
Feulner, Julian, Weidinger, Cornelia S., Dörfler, Arnd, Birkholz, Torsten, Buchfelder, Michael, Sommer, Björn
Publikováno v:
In World Neurosurgery June 2024 186:e106-e113
Autor:
Martin, Jan, Endt, Sebastian, Wetscherek, Andreas, Kuder, Tristan Anselm, Doerfler, Arnd, Uder, Michael, Hensel, Bernhard, Laun, Frederik Bernd
Publikováno v:
Z Med Phys 30(1):4-16, 2020
Diffusion anisotropy in diffusion tensor imaging (DTI) is commonly quantified with normalized diffusion anisotropy indices (DAIs). Most often, the fractional anisotropy (FA) is used, but several alternative DAIs have been introduced in attempts to ma
Externí odkaz:
http://arxiv.org/abs/2004.00892