Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Dominik, Nörenberg"'
Autor:
Jannik Kahmann, Dominik Nörenberg, Theano Papavassiliu, Salman Ul Hassan Dar, Sandy Engelhardt, Stefan O. Schoenberg, Matthias F. Froelich, Isabelle Ayx
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Objectives This study aims to investigate how radiomics analysis can help understand the association between plaque texture, epicardial adipose tissue (EAT), and cardiovascular risk. Working with a Photon-counting CT, which exhibits enhanced
Externí odkaz:
https://doaj.org/article/45e8513a209646ccbfb36bf1eb31905d
Autor:
Alexander Hertel, Mustafa Kuru, Fabian Tollens, Hishan Tharmaseelan, Dominik Nörenberg, Nils Rathmann, Stefan O. Schoenberg, Matthias F. Froelich
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
BackgroundThe liver is a frequent location of metastatic disease in various malignant tumor entities. Computed tomography (CT) is the most frequently employed modality for initial diagnosis. However, liver metastases may only be delineated vaguely on
Externí odkaz:
https://doaj.org/article/4423e3cbbdf640be9db60d8b45c1ed8c
Publikováno v:
Zeitschrift für Medizinische Physik, Vol 34, Iss 2, Pp 330-342 (2024)
An accurate prognosis of renal function decline in Autosomal Dominant Polycystic Kidney Disease (ADPKD) is crucial for early intervention. Current biomarkers used are height-adjusted total kidney volume (HtTKV), estimated glomerular filtration rate (
Externí odkaz:
https://doaj.org/article/e2beb9d4004049fc8e788818a1a8d872
Tumor classification of gastrointestinal liver metastases using CT-based radiomics and deep learning
Autor:
Hishan Tharmaseelan, Abhinay K. Vellala, Alexander Hertel, Fabian Tollens, Lukas T. Rotkopf, Johann Rink, Piotr Woźnicki, Isabelle Ayx, Sönke Bartling, Dominik Nörenberg, Stefan O. Schoenberg, Matthias F. Froelich
Publikováno v:
Cancer Imaging, Vol 23, Iss 1, Pp 1-9 (2023)
Abstract Objectives The goal of this study is to demonstrate the performance of radiomics and CNN-based classifiers in determining the primary origin of gastrointestinal liver metastases for visually indistinguishable lesions. Methods In this retrosp
Externí odkaz:
https://doaj.org/article/9feae19fae0840dbb5615465790843e2
Autor:
Ali Darwich, Dominik Nörenberg, Julia Adam, Svetlana Hetjens, Mohamad Bdeir, Andreas Schilder, Steffen Thier, Sascha Gravius, Ahmed Jawhar
Publikováno v:
Diagnostics, Vol 14, Iss 16, p 1810 (2024)
Even after successful surgery for acute ankle fractures, many patients continue having complaints. A possible explanation is the presence of concomitant chondral lesions. The aim of this study is to investigate the accuracy of MRI compared to that of
Externí odkaz:
https://doaj.org/article/a0fa3f67bb5943e78c66ef9cdf34fd25
Autor:
Peter Mundt, Hishan Tharmaseelan, Alexander Hertel, Lukas T. Rotkopf, Dominik Nörenberg, Philipp Riffel, Stefan O. Schoenberg, Matthias F. Froelich, Isabelle Ayx
Publikováno v:
BMC Medical Imaging, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract Background Cardiovascular diseases remain the world’s primary cause of death. The identification and treatment of patients at risk of cardiovascular events thus are as important as ever. Adipose tissue is a classic risk factor for cardiova
Externí odkaz:
https://doaj.org/article/1e728c0ed98b414c8c869f5e649346af
Autor:
Florian Haag, Shanice S. Emmrich, Alexander Hertel, Johann S. Rink, Dominik Nörenberg, Stefan O. Schoenberg, Matthias F. Froelich
Publikováno v:
Diagnostics, Vol 14, Iss 11, p 1130 (2024)
The clinical use of photon-counting CT (PCCT) allows for the generation of virtual non-contrast (VNC) series from contrast-enhanced images. In routine clinical practice, specific issues such as ruling out acute bleeding require non-contrast images. T
Externí odkaz:
https://doaj.org/article/a7fc9f0794f8482097e4072ebdeba257
Autor:
Alexander Mühlberg, Paul Ritter, Simon Langer, Chloë Goossens, Stefanie Nübler, Dominik Schneidereit, Oliver Taubmann, Felix Denzinger, Dominik Nörenberg, Michael Haug, Sebastian Schürmann, Roarke Horstmeyer, Andreas K. Maier, Wolfgang H. Goldmann, Oliver Friedrich, Lucas Kreiss
Publikováno v:
Advanced Science, Vol 10, Iss 28, Pp n/a-n/a (2023)
Abstract Deep learning (DL) shows notable success in biomedical studies. However, most DL algorithms work as black boxes, exclude biomedical experts, and need extensive data. This is especially problematic for fundamental research in the laboratory,
Externí odkaz:
https://doaj.org/article/44bff05520d54a82863b2dbf105f2848
Autor:
Hishan Tharmaseelan, Lukas T. Rotkopf, Isabelle Ayx, Alexander Hertel, Dominik Nörenberg, Stefan O. Schoenberg, Matthias F. Froelich
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Feature stability and standardization remain challenges that impede the clinical implementation of radiomics. This study investigates the potential of spectral reconstructions from photon-counting computed tomography (PCCT) regarding organ-s
Externí odkaz:
https://doaj.org/article/a73db8c9fddf49c89ea24589d8d51736
Autor:
Peter Mundt, Alexander Hertel, Hishan Tharmaseelan, Dominik Nörenberg, Theano Papavassiliu, Stefan O. Schoenberg, Matthias F. Froelich, Isabelle Ayx
Publikováno v:
Diagnostics, Vol 14, Iss 3, p 277 (2024)
(1) Background: Epicardial adipose tissue influences cardiac biology in physiological and pathological terms. As it is suspected to be linked to coronary artery calcification, identifying improved methods of diagnostics for these patients is importan
Externí odkaz:
https://doaj.org/article/427bd856487d4ac28ce770cf0a5b1965