Zobrazeno 1 - 10
of 276
pro vyhledávání: '"Benedikt Wiestler"'
Autor:
Zhenyu Gong, Tao Xu, Nan Peng, Xing Cheng, Chen Niu, Benedikt Wiestler, Fan Hong, Hongwei Bran Li
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-6 (2024)
Abstract Brain metastases (BMs) and high-grade gliomas (HGGs) are the most common and aggressive types of malignant brain tumors in adults, with often poor prognosis and short survival. As their clinical symptoms and image appearances on conventional
Externí odkaz:
https://doaj.org/article/21a3c8d6d0d34071ae0a87e7ee507aed
Autor:
Ralf Floca, Jonas Bohn, Christian Haux, Benedikt Wiestler, Frank G. Zöllner, Annika Reinke, Jakob Weiß, Marco Nolden, Steffen Albert, Thorsten Persigehl, Tobias Norajitra, Bettina Baeßler, Marc Dewey, Rickmer Braren, Martin Büchert, Eva Maria Fallenberg, Norbert Galldiks, Annika Gerken, Michael Götz, Horst K. Hahn, Johannes Haubold, Tobias Haueise, Nils Große Hokamp, Michael Ingrisch, Andra-Iza Iuga, Marco Janoschke, Matthias Jung, Lena Sophie Kiefer, Philipp Lohmann, Jürgen Machann, Jan Hendrik Moltz, Johanna Nattenmüller, Tobias Nonnenmacher, Benedict Oerther, Ahmed E. Othman, Felix Peisen, Fritz Schick, Lale Umutlu, Barbara D. Wichtmann, Wenzhao Zhao, Svenja Caspers, Heinz-Peter Schlemmer, Christopher L. Schlett, Klaus Maier-Hein, Fabian Bamberg
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Objectives Achieving a consensus on a definition for different aspects of radiomics workflows to support their translation into clinical usage. Furthermore, to assess the perspective of experts on important challenges for a successful clinic
Externí odkaz:
https://doaj.org/article/6a8906e841ea488ea5abe79eaf2c5fc3
Autor:
Leonie Kram, Beate Neu, Axel Schroeder, Benedikt Wiestler, Bernhard Meyer, Sandro M. Krieg, Sebastian Ille
Publikováno v:
Frontiers in Human Neuroscience, Vol 18 (2024)
BackgroundAwake craniotomy is the standard of care for treating language eloquent gliomas. However, depending on preoperative functionality, it is not feasible in each patient and selection criteria are highly heterogeneous. Thus, this study aimed to
Externí odkaz:
https://doaj.org/article/3f2f376359244c3fb5171c47afa0478d
Autor:
Robert Graf, Joachim Schmitt, Sarah Schlaeger, Hendrik Kristian Möller, Vasiliki Sideri-Lampretsa, Anjany Sekuboyina, Sandro Manuel Krieg, Benedikt Wiestler, Bjoern Menze, Daniel Rueckert, Jan Stefan Kirschke
Publikováno v:
European Radiology Experimental, Vol 7, Iss 1, Pp 1-14 (2023)
Abstract Background Automated segmentation of spinal magnetic resonance imaging (MRI) plays a vital role both scientifically and clinically. However, accurately delineating posterior spine structures is challenging. Methods This retrospective study,
Externí odkaz:
https://doaj.org/article/05c5f8ba22ef47cda36ebc1fe94a4f0c
Single brain metastases – prognostic factors and impact of residual tumor burden on overall survival
Autor:
Lea Baumgart, Aida Anetsberger, Amir Kaywan Aftahy, Benedikt Wiestler, Denise Bernhardt, Stephanie E. Combs, Hanno S. Meyer, Gerhard Schneider, Bernhard Meyer, Jens Gempt
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
BackgroundBrain metastases (BM) are a common and challenging issue, with their incidence on the rise due to advancements in systemic therapies and increased patient survival. Most patients present with single BM, some of them without any further extr
Externí odkaz:
https://doaj.org/article/14666efe07d54c549dd537311230e127
Autor:
Felix Meissen, Svenja Breuer, Moritz Knolle, Alena Buyx, Ruth Müller, Georgios Kaissis, Benedikt Wiestler, Daniel Rückert
Publikováno v:
EBioMedicine, Vol 101, Iss , Pp 105002- (2024)
Summary: Background: With the ever-increasing amount of medical imaging data, the demand for algorithms to assist clinicians has amplified. Unsupervised anomaly detection (UAD) models promise to aid in the crucial first step of disease detection. Whi
Externí odkaz:
https://doaj.org/article/d62efed5f9a843a4a8bf244eda853221
Autor:
Maria Waltenberger, Denise Bernhardt, Christian Diehl, Jens Gempt, Bernhard Meyer, Christoph Straube, Benedikt Wiestler, Jan J. Wilkens, Claus Zimmer, Stephanie E. Combs
Publikováno v:
BMC Cancer, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract Background The brain is a common site for cancer metastases. In case of large and/or symptomatic brain metastases, neurosurgical resection is performed. Adjuvant radiotherapy is a standard procedure to minimize the risk of local recurrence a
Externí odkaz:
https://doaj.org/article/1a4db98d547744ea91eb51d3c5b5fd85
Autor:
Sarah Schlaeger, Suprosanna Shit, Paul Eichinger, Marco Hamann, Roland Opfer, Julia Krüger, Michael Dieckmeyer, Simon Schön, Mark Mühlau, Claus Zimmer, Jan S. Kirschke, Benedikt Wiestler, Dennis M. Hedderich
Publikováno v:
Insights into Imaging, Vol 14, Iss 1, Pp 1-11 (2023)
Abstract Background Contrast-enhancing (CE) lesions are an important finding on brain magnetic resonance imaging (MRI) in patients with multiple sclerosis (MS) but can be missed easily. Automated solutions for reliable CE lesion detection are emergin
Externí odkaz:
https://doaj.org/article/02a50acf4dff45a29a2cdd6df8c4edea
Autor:
Tun Wiltgen, Julian McGinnis, Sarah Schlaeger, Florian Kofler, CuiCi Voon, Achim Berthele, Daria Bischl, Lioba Grundl, Nikolaus Will, Marie Metz, David Schinz, Dominik Sepp, Philipp Prucker, Benita Schmitz-Koep, Claus Zimmer, Bjoern Menze, Daniel Rueckert, Bernhard Hemmer, Jan Kirschke, Mark Mühlau, Benedikt Wiestler
Publikováno v:
NeuroImage: Clinical, Vol 42, Iss , Pp 103611- (2024)
Automated segmentation of brain white matter lesions is crucial for both clinical assessment and scientific research in multiple sclerosis (MS). Over a decade ago, we introduced an engineered lesion segmentation tool, LST. While recent lesion segment
Externí odkaz:
https://doaj.org/article/282946db78e7480b84215979b2e318c5
Publikováno v:
NeuroImage: Clinical, Vol 42, Iss , Pp 103598- (2024)
Background: Quantitative susceptibility mapping (QSM) is a quantitative measure based on magnetic resonance imaging sensitive to iron and myelin content. This makes QSM a promising non-invasive tool for multiple sclerosis (MS) in research and clinica
Externí odkaz:
https://doaj.org/article/c02ccafd31be49779b9172ec788a9874