Zobrazeno 1 - 10
of 473
pro vyhledávání: '"Fritsche, Lars"'
When using graphs and graph transformations to model systems, consistency is an important concern. While consistency has primarily been viewed as a binary property, i.e., a graph is consistent or inconsistent with respect to a set of constraints, rec
Externí odkaz:
http://arxiv.org/abs/2405.08788
Publikováno v:
Logical Methods in Computer Science, Volume 20, Issue 3 (September 18, 2024) lmcs:12703
Sequential model synchronisation is the task of propagating changes from one model to another correlated one to restore consistency. It is challenging to perform this propagation in a least-changing way that avoids unnecessary deletions (which might
Externí odkaz:
http://arxiv.org/abs/2312.09828
Autor:
Wang, Di, Ye, Wen, Zhu, Ji, Xu, Gongjun, Tang, Weijing, Zawistowski, Matthew, Fritsche, Lars G., He, Kevin
Polygenic hazard score (PHS) models designed for European ancestry (EUR) individuals provide ample information regarding survival risk discrimination. Incorporating such information can improve the performance of risk discrimination in an internal sm
Externí odkaz:
http://arxiv.org/abs/2302.11123
Autor:
Holland, Robbie, Leingang, Oliver, Holmes, Christopher, Anders, Philipp, Kaye, Rebecca, Riedl, Sophie, Paetzold, Johannes C., Ezhov, Ivan, Bogunović, Hrvoje, Schmidt-Erfurth, Ursula, Fritsche, Lars, Scholl, Hendrik P. N., Sivaprasad, Sobha, Lotery, Andrew J., Rueckert, Daniel, Menten, Martin J.
Age-related macular degeneration (AMD) is the leading cause of blindness in the elderly. Current grading systems based on imaging biomarkers only coarsely group disease stages into broad categories and are unable to predict future disease progression
Externí odkaz:
http://arxiv.org/abs/2301.04525
Autor:
Holland, Robbie, Leingang, Oliver, Bogunović, Hrvoje, Riedl, Sophie, Fritsche, Lars, Prevost, Toby, Scholl, Hendrik P. N., Schmidt-Erfurth, Ursula, Sivaprasad, Sobha, Lotery, Andrew J., Rueckert, Daniel, Menten, Martin J.
Deep learning has potential to automate screening, monitoring and grading of disease in medical images. Pretraining with contrastive learning enables models to extract robust and generalisable features from natural image datasets, facilitating label-
Externí odkaz:
http://arxiv.org/abs/2208.02529
Autor:
Holland, Robbie, Leingang, Oliver, Bogunović, Hrvoje, Riedl, Sophie, Fritsche, Lars, Prevost, Toby, Scholl, Hendrik P.N., Schmidt-Erfurth, Ursula, Sivaprasad, Sobha, Lotery, Andrew J., Rueckert, Daniel, Menten, Martin J.
Publikováno v:
In Medical Image Analysis October 2024 97
Autor:
Martinsen, Amy E., Skogholt, Anne Heidi, Brumpton, Ben M., Willer, Cristen J., Fors, Egil A., Kristoffersen, Espen S., Heuch, Ingrid, Mundal, Ingunn, Zwart, John-Anker, Nielsen, Jonas B., Storheim, Kjersti, Hagen, Knut, Nilsen, Kristian Bernhard, Hveem, Kristian, Fritsche, Lars G., Thomas, Laurent F., Pedersen, Linda M., Gabrielsen, Maiken E., Lie, Marie U., Stensland, Synne Ø., Zhou, Wei, Jacobsen, Kaya Kvarme ∗, Børte, Sigrid, Laborie, Lene Bjerke, Kristiansen, Hege, Schäfer, Annette, Gundersen, Trude, Zayats, Tetyana, Slagsvold Winsvold, Bendik Kristoffer, Rosendahl, Karen
Publikováno v:
In Osteoarthritis and Cartilage Open March 2024 6(1)
Autor:
Hagag, Ahmed M., Kaye, Rebecca, Hoang, Vy, Riedl, Sophie, Anders, Philipp, Stuart, Beth, Traber, Ghislaine, Appenzeller-Herzog, Christian, Schmidt-Erfurth, Ursula, Bogunovic, Hrvoje, Scholl, Hendrik P., Prevost, Toby, Fritsche, Lars, Rueckert, Daniel, Sivaprasad, Sobha, Lotery, Andrew J.
Publikováno v:
In Survey of Ophthalmology March-April 2024 69(2):165-172
Concurrent model synchronization is the task of restoring consistency between two correlated models after they have been changed concurrently and independently. To determine whether such concurrent model changes conflict with each other and to resolv
Externí odkaz:
http://arxiv.org/abs/2011.03357
Autor:
Vince, Randy A., Jr, Sun, Helen, Singhal, Udit, Schumacher, Fredrick R., Trapl, Erika, Rose, Johnie, Cullen, Jennifer, Zaorsky, Nicholas, Shoag, Jonathan, Hartman, Holly, Jia, Angela Y., Spratt, Daniel E., Fritsche, Lars G., Morgan, Todd M.
Publikováno v:
In European Urology Oncology April 2024