Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Marc-Andre Schulz"'
Publikováno v:
Cell Reports, Vol 43, Iss 1, Pp 113597- (2024)
Summary: This study examines the impact of sample size on predicting cognitive and mental health phenotypes from brain imaging via machine learning. Our analysis shows a 3- to 9-fold improvement in prediction performance when sample size increases fr
Externí odkaz:
https://doaj.org/article/916f9b7a662240369d99447f9ba59acf
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/b06c970cbf004ce6a27f1cf197718fbb
Autor:
Marc-Andre Schulz, Stefan Hetzer, Fabian Eitel, Susanna Asseyer, Lil Meyer-Arndt, Tanja Schmitz-Hübsch, Judith Bellmann-Strobl, James H. Cole, Stefan M. Gold, Friedemann Paul, Kerstin Ritter, Martin Weygandt
Publikováno v:
iScience, Vol 26, Iss 9, Pp 107679- (2023)
Summary: Clinical and neuroscientific studies suggest a link between psychological stress and reduced brain health in health and neurological disease but it is unclear whether mediating pathways are similar. Consequently, we applied an arterial-spin-
Externí odkaz:
https://doaj.org/article/dfc4848e2c224cfcb083a15e33d1ba18
Autor:
Marc-Andre Schulz, B. T. Thomas Yeo, Joshua T. Vogelstein, Janaina Mourao-Miranada, Jakob N. Kather, Konrad Kording, Blake Richards, Danilo Bzdok
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-15 (2020)
Schulz et al. systematically benchmark performance scaling with increasingly sophisticated prediction algorithms and with increasing sample size in reference machine-learning and biomedical datasets. Complicated nonlinear intervariable relationships
Externí odkaz:
https://doaj.org/article/b1ee0d1de11c40d8869725556c90d89f
By promising more accurate diagnostics and individual treatment recommendations, deep neural networks and in particular convolutional neural networks have advanced to a powerful tool in medical imaging. Here, we first give an introduction into method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::108537087a5434f21ba56b94db5518b1
Autor:
Marc-Andre Schulz, Stefan Hetzer, Fabian Eitel, Susanna Asseyer, Lil Meyer-Arndt, Tanja Schmitz-Hübsch, Judith Bellmann-Strobl, James H. Cole, Stefan M. Gold, Friedemann Paul, Kerstin Ritter, Martin Weygandt
SummaryClinical and neuroscientific studies suggest a link between psychological stress and reduced brain health - in healthy humans and patients with neurological disorders. However, it is unclear which neural pathways mediate between stress and bra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::515c39e780be2c3d3f22092fd34833f8
https://doi.org/10.1101/2022.12.19.521098
https://doi.org/10.1101/2022.12.19.521098
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:11433-11441
Instance-based model-agnostic feature importance explanations (LIME, SHAP, L2X) are a popular form of algorithmic transparency. These methods generally return either a weighting or subset of input features as an explanation for the classification of
Machine learning studies have shown that various phenotypes can be predicted from structural and functional brain images. However, in most such studies, prediction performance ranged from moderate to disappointing. It is unclear whether prediction pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a006bb3481a981942eada66b58cf77aa
https://doi.org/10.1101/2022.02.23.481601
https://doi.org/10.1101/2022.02.23.481601
Autor:
Marc-Andre Schulz, Alexander Koch, Vanessa Emanuela Guarino, Dagmar Kainmueller, Kerstin Ritter
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031178986
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05a99f84ccc3e79019bd20b972ec978a
https://doi.org/10.1007/978-3-031-17899-3_17
https://doi.org/10.1007/978-3-031-17899-3_17
Autor:
Joshua T. Vogelstein, Blake A. Richards, B.T. Thomas Yeo, Janaina Mourao-Miranada, Konrad P. Kording, Marc-Andre Schulz, Jakob Nikolas Kather, Danilo Bzdok
Publikováno v:
Nature Communications
Nature Communications, Vol 11, Iss 1, Pp 1-15 (2020)
Nature Communications, Vol 11, Iss 1, Pp 1-15 (2020)
Recently, deep learning has unlocked unprecedented success in various domains, especially using images, text, and speech. However, deep learning is only beneficial if the data have nonlinear relationships and if they are exploitable at available samp