Zobrazeno 1 - 10
of 3 773
pro vyhledávání: '"Zwanenburg A"'
Autor:
Yilmaz, Figen, Singh, Siddharth, Zwanenburg, Martijn F. S., Hu, Jinlun, Stefanski, Taryn V., Andersen, Christian Kraglund
Superconducting circuits are being employed for large-scale quantum devices, and a pertinent challenge is to perform accurate numerical simulations of device parameters. One of the most advanced methods for analyzing superconducting circuit designs i
Externí odkaz:
http://arxiv.org/abs/2411.15039
Autor:
Stefanski, Taryn V., Yilmaz, Figen, Huang, Eugene Y., Zwanenburg, Martijn F. S., Singh, Siddharth, Wang, Siyu, Splitthoff, Lukas J., Andersen, Christian Kraglund
The ability to perform rapid, high fidelity readout of a qubit state is an important requirement for quantum algorithms and, in particular, for enabling operations such as mid-circuit measurements and measurement-based feedback for error correction s
Externí odkaz:
http://arxiv.org/abs/2411.13437
Autor:
Loutfi, Mahdi Ait Lhaj, Podasca, Teodora Boblea, Zwanenburg, Alex, Upadhaya, Taman, Barrios, Jorge, Raleigh, David R., Chen, William C., Capaldi, Dante P. I., Zheng, Hong, Gevaert, Olivier, Wu, Jing, Silva, Alvin C., Zhang, Paul J., Bai, Harrison X., Seuntjens, Jan, Löck, Steffen, Richard, Patrick O., Morin, Olivier, Reinhold, Caroline, Lepage, Martin, Vallières, Martin
Background: The high dimensionality of radiomic feature sets, the variability in radiomic feature types and potentially high computational requirements all underscore the need for an effective method to identify the smallest set of predictive feature
Externí odkaz:
http://arxiv.org/abs/2407.04888
Autor:
Bhasker, Nithya, Leger, Stefan, Zwanenburg, Alexander, Reddy, Chethan Babu, Bodenstedt, Sebastian, Löck, Steffen, Speidel, Stefanie
Graph neural networks (GNNs) are becoming increasingly popular in the medical domain for the tasks of disease classification and outcome prediction. Since patient data is not readily available as a graph, most existing methods either manually define
Externí odkaz:
http://arxiv.org/abs/2310.02931
Autor:
Iram Shahzadi, Alex Zwanenburg, Lynn Johann Frohwein, Dominik Schramm, Hans Jonas Meyer, Mattes Hinnerichs, Christoph Moenninghoff, Julius Henning Niehoff, Jan Robert Kroeger, Jan Borggrefe, Alexey Surov
Publikováno v:
Journal of Cachexia, Sarcopenia and Muscle, Vol 15, Iss 4, Pp 1430-1440 (2024)
Abstract Background Acute pulmonary embolism (APE) is a potentially life‐threatening disorder, emphasizing the importance of accurate risk stratification and survival prognosis. The exploration of imaging biomarkers that can reflect patient surviva
Externí odkaz:
https://doaj.org/article/ba055d4921df449c8b4506b5010d02e2
Publikováno v:
Current Oncology, Vol 31, Iss 7, Pp 4003-4014 (2024)
Resilience is defined as the maintenance or relatively quick recovery of mental health during and after adversity. Rather than focusing on psychopathology and its causes, resilience research aims to understand what protective mechanisms shield indivi
Externí odkaz:
https://doaj.org/article/246c25d33ee2446dbee2d9ee69f7e932
Autor:
Iris N. Vos, Rick J. van Tuijl, Liselore A. Mensing, Maud E. H. Ophelders, Mireille R. E. Velthuis, Nicolaas P. A. Zuithoff, Gabriel J. E. Rinkel, Hugo J. Kuijf, Jaco J. M. Zwanenburg, Irene C. van der Schaaf, Birgitta K. Velthuis, Ynte M. Ruigrok
Publikováno v:
Stroke: Vascular and Interventional Neurology, Vol 4, Iss 4 (2024)
Background Hemodynamic stress is linked to the development of intracranial aneurysms (IAs) and may be influenced by anatomic variation of intracranial arteries. We assessed diameters and bifurcation angles of intracranial arteries forming the circle
Externí odkaz:
https://doaj.org/article/0db75e6e0f2641b0ae4a9efe5f146e6d
Publikováno v:
In Earth-Science Reviews January 2025 260
Autor:
Iram Shahzadi, Annekatrin Seidlitz, Bettina Beuthien-Baumann, Alex Zwanenburg, Ivan Platzek, Jörg Kotzerke, Michael Baumann, Mechthild Krause, Esther G. C. Troost, Steffen Löck
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Personalized treatment strategies based on non-invasive biomarkers have potential to improve patient management in patients with newly diagnosed glioblastoma (GBM). The residual tumour burden after surgery in GBM patients is a prognostic ima
Externí odkaz:
https://doaj.org/article/0cb44df618b04c51a1088cc64d371f11
Autor:
Felix Schön, Aaron Kieslich, Heiner Nebelung, Carina Riediger, Ralf-Thorsten Hoffmann, Alex Zwanenburg, Steffen Löck, Jens-Peter Kühn
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract To examine the comparative robustness of computed tomography (CT)-based conventional radiomics and deep-learning convolutional neural networks (CNN) to predict overall survival (OS) in HCC patients. Retrospectively, 114 HCC patients with pre
Externí odkaz:
https://doaj.org/article/ad7a4a29dc334dd883deb434c8699dc8