Zobrazeno 1 - 10
of 709
pro vyhledávání: '"Schulze, Hagen"'
Autor:
Khader, Firas, Mueller-Franzes, Gustav, Arasteh, Soroosh Tayebi, Han, Tianyu, Haarburger, Christoph, Schulze-Hagen, Maximilian, Schad, Philipp, Engelhardt, Sandy, Baessler, Bettina, Foersch, Sebastian, Stegmaier, Johannes, Kuhl, Christiane, Nebelung, Sven, Kather, Jakob Nikolas, Truhn, Daniel
Recent advances in computer vision have shown promising results in image generation. Diffusion probabilistic models in particular have generated realistic images from textual input, as demonstrated by DALL-E 2, Imagen and Stable Diffusion. However, t
Externí odkaz:
http://arxiv.org/abs/2211.03364
Autor:
Daniel Schaffert, Igor Bibi, Mara Blauth, Christian Lull, Jan Alwin von Ahnen, Georg Gross, Theresa Schulze-Hagen, Johannes Knitza, Sebastian Kuhn, Johannes Benecke, Astrid Schmieder, Jan Leipe, Victor Olsavszky
Publikováno v:
JMIR Formative Research, Vol 8, p e55855 (2024)
BackgroundPsoriasis vulgaris (PsV) and psoriatic arthritis (PsA) are complex, multifactorial diseases significantly impacting health and quality of life. Predicting treatment response and disease progression is crucial for optimizing therapeutic inte
Externí odkaz:
https://doaj.org/article/23b13a771a5644a3991af2c3e341dd76
Autor:
Han, Tianyu, Kather, Jakob Nikolas, Pedersoli, Federico, Zimmermann, Markus, Keil, Sebastian, Schulze-Hagen, Maximilian, Terwoelbeck, Marc, Isfort, Peter, Haarburger, Christoph, Kiessling, Fabian, Schulz, Volkmar, Kuhl, Christiane, Nebelung, Sven, Truhn, Daniel
Disease-modifying management aims to prevent deterioration and progression of the disease, not just relieve symptoms. Unfortunately, the development of necessary therapies is often hampered by the failure to recognize the presymptomatic disease and l
Externí odkaz:
http://arxiv.org/abs/2111.11439
Autor:
Lemainque, Teresa, Yoneyama, Masami, Morsch, Chiara, Iordanishvili, Elene, Barabasch, Alexandra, Schulze-Hagen, Maximilian, Peeters, Johannes M., Kuhl, Christiane, Zhang, Shuo
Publikováno v:
In Magnetic Resonance Imaging July 2024 110:96-103
Publikováno v:
In Poultry Science March 2024 103(3)
Autor:
Truhn, Daniel, Tayebi Arasteh, Soroosh, Saldanha, Oliver Lester, Müller-Franzes, Gustav, Khader, Firas, Quirke, Philip, West, Nicholas P., Gray, Richard, Hutchins, Gordon G.A., James, Jacqueline A., Loughrey, Maurice B., Salto-Tellez, Manuel, Brenner, Hermann, Brobeil, Alexander, Yuan, Tanwei, Chang-Claude, Jenny, Hoffmeister, Michael, Foersch, Sebastian, Han, Tianyu, Keil, Sebastian, Schulze-Hagen, Maximilian, Isfort, Peter, Bruners, Philipp, Kaissis, Georgios, Kuhl, Christiane, Nebelung, Sven, Kather, Jakob Nikolas
Publikováno v:
In Medical Image Analysis February 2024 92
Autor:
Schulze-Hagen, Karl1 karl@schulze-hagen.de
Publikováno v:
Ornithologische Beobachter. mar2024, Vol. 121 Issue 1, p48-63. 16p.
Publikováno v:
Cancer Reports, Vol 7, Iss 2, Pp n/a-n/a (2024)
Abstract Background Patients with suspected prostate cancer usually undergo transrectal ultrasound‐guided (TRUS) systematic biopsy, which can miss relevant prostate cancers and lead to overtreatment. Aims The aim of this study was to evaluate the d
Externí odkaz:
https://doaj.org/article/78c199bd68d94ae5b8c97379bdb7480e
Autor:
Han, Tianyu, Nebelung, Sven, Pedersoli, Federico, Zimmermann, Markus, Schulze-Hagen, Maximilian, Ho, Michael, Haarburger, Christoph, Kiessling, Fabian, Kuhl, Christiane, Schulz, Volkmar, Truhn, Daniel
Unmasking the decision-making process of machine learning models is essential for implementing diagnostic support systems in clinical practice. Here, we demonstrate that adversarially trained models can significantly enhance the usability of patholog
Externí odkaz:
http://arxiv.org/abs/2011.13011