Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Christopher Kloth"'
Autor:
Patrick Thiam, Christopher Kloth, Daniel Blaich, Andreas Liebold, Meinrad Beer, Hans A. Kestler
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract The successful integration of neural networks in a clinical setting is still uncommon despite major successes achieved by artificial intelligence in other domains. This is mainly due to the black box characteristic of most optimized models a
Externí odkaz:
https://doaj.org/article/a8ddf02b11134a88bd8f5030b6ba5617
Autor:
Christopher Kloth, Annika Beck, Nico Sollmann, Meinrad Beer, Marius Horger, Wolfgang Maximilian Thaiss
Publikováno v:
Tomography, Vol 9, Iss 6, Pp 2190-2210 (2023)
Imaging of the temporal bone and middle ear is challenging for radiologists due to the abundance of distinct anatomical structures and the plethora of possible pathologies. The basis for a precise diagnosis is knowledge of the underlying anatomy as w
Externí odkaz:
https://doaj.org/article/a2013893b282439190dadd55ba83abba
Autor:
Daniel Schaudt, Reinhold von Schwerin, Alexander Hafner, Pascal Riedel, Manfred Reichert, Marianne von Schwerin, Meinrad Beer, Christopher Kloth
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract Since the beginning of the COVID-19 pandemic, many different machine learning models have been developed to detect and verify COVID-19 pneumonia based on chest X-ray images. Although promising, binary models have only limited implications fo
Externí odkaz:
https://doaj.org/article/6938be97cebe4916b189878fdecced52
Autor:
Daniel Schaudt, Reinhold von Schwerin, Alexander Hafner, Pascal Riedel, Christian Späte, Manfred Reichert, Andreas Hinteregger, Meinrad Beer, Christopher Kloth
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract In medical imaging, deep learning models can be a critical tool to shorten time-to-diagnosis and support specialized medical staff in clinical decision making. The successful training of deep learning models usually requires large amounts of
Externí odkaz:
https://doaj.org/article/84e1234e552b4fe285310a86d9e50b84
Autor:
Andrea Steuwe, Benedikt Kamp, Saif Afat, Alena Akinina, Schekeb Aludin, Elif Gülsah Bas, Josephine Berger, Evelyn Bohrer, Alexander Brose, Susanne Martina Büttner, Constantin Ehrengut, Mirjam Gerwing, Sergio Grosu, Alexander Gussew, Felix Güttler, Andreas Heinrich, Petra Jiraskova, Christopher Kloth, Jonathan Kottlors, Marc-David Kuennemann, Christian Liska, Nora Lubina, Mathias Manzke, Felix G. Meinel, Hans-Jonas Meyer, Andreas Mittermeier, Thorsten Persigehl, Lars-Patrick Schmill, Manuel Steinhardt, The RACOON Study Group, Gerald Antoch, Birte Valentin
Publikováno v:
Bioengineering, Vol 11, Iss 3, p 207 (2024)
CT protocols that diagnose COVID-19 vary in regard to the associated radiation exposure and the desired image quality (IQ). This study aims to evaluate CT protocols of hospitals participating in the RACOON (Radiological Cooperative Network) project,
Externí odkaz:
https://doaj.org/article/207854145dc442ccaf673bb0b00fe819
Autor:
Daniel Schaudt, Christian Späte, Reinhold von Schwerin, Manfred Reichert, Marianne von Schwerin, Meinrad Beer, Christopher Kloth
Publikováno v:
Bioengineering, Vol 10, Iss 12, p 1421 (2023)
In medical imaging, deep learning models serve as invaluable tools for expediting diagnoses and aiding specialized medical professionals in making clinical decisions. However, effectively training deep learning models typically necessitates substanti
Externí odkaz:
https://doaj.org/article/841ac0f4932d465b816bdaded47adbd3
Autor:
Patrick Thiam, Ludwig Lausser, Christopher Kloth, Daniel Blaich, Andreas Liebold, Meinrad Beer, Hans A. Kestler
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2023)
In recent years, several deep learning approaches have been successfully applied in the field of medical image analysis. More specifically, different deep neural network architectures have been proposed and assessed for the detection of various patho
Externí odkaz:
https://doaj.org/article/8599f2e2a62746688ffd4dd45565ca84
Autor:
Kaspar Ekert, Christopher Kloth, Konstantin Nikolaou, Gerd Grözinger, Marius Horger, Wolfgang Thaiss
Publikováno v:
Tomography, Vol 8, Iss 2, Pp 1148-1158 (2022)
Contrast enhancement at the margins/rim of embolization areas in hepatocellular-carcinoma (HCC) lesions treated with transarterial chemoembolization (TACE) might be an early prognostic indicator for HCC recurrence. The aim of this study was to evalua
Externí odkaz:
https://doaj.org/article/686aa2cd544c47f5a33acd8fdaff1506
Autor:
Una Ebong, Susanne Martina Büttner, Stefan A. Schmidt, Franziska Flack, Patrick Korf, Lynn Peters, Beate Grüner, Steffen Stenger, Thomas Stamminger, Hans Kestler, Meinrad Beer, Christopher Kloth
Publikováno v:
Diagnostics, Vol 13, Iss 12, p 2129 (2023)
PURPOSE: To implement the technical feasibility of an AI-based software prototype optimized for the detection of COVID-19 pneumonia in CT datasets of the lung and the differentiation between other etiologies of pneumonia. METHODS: This single-center
Externí odkaz:
https://doaj.org/article/23444a3c8d614812aee46c56fb64faae
Autor:
Tobias Greve, Nithin Manohar Rayudu, Michael Dieckmeyer, Christof Boehm, Stefan Ruschke, Egon Burian, Christopher Kloth, Jan S. Kirschke, Dimitrios C. Karampinos, Thomas Baum, Karupppasamy Subburaj, Nico Sollmann
Publikováno v:
Frontiers in Endocrinology, Vol 13 (2022)
PurposeOsteoporosis is prevalent and entails alterations of vertebral bone and marrow. Yet, the spine is also a common site of metastatic spread. Parameters that can be non-invasively measured and could capture these alterations are the volumetric bo
Externí odkaz:
https://doaj.org/article/ca5e4bbb304f447a9cffdec91d7e7bb9