Zobrazeno 1 - 10
of 1 690
pro vyhledávání: '"P. Buelow"'
Recent years have seen tremendous developments in the use of machine learning models to link amino acid sequence, structure and function of folded proteins. These methods are, however, rarely applicable to the wide range of proteins and sequences tha
Externí odkaz:
http://arxiv.org/abs/2410.15940
Autor:
Watson, Joe, Song, Chen, Weeger, Oliver, Gruner, Theo, Le, An T., Hansel, Kay, Hendawy, Ahmed, Arenz, Oleg, Trojak, Will, Cranmer, Miles, D'Eramo, Carlo, Bülow, Fabian, Goyal, Tanmay, Peters, Jan, Hoffman, Martin W.
This survey examines the broad suite of methods and models for combining machine learning with physics knowledge for prediction and forecast, with a focus on partial differential equations. These methods have attracted significant interest due to the
Externí odkaz:
http://arxiv.org/abs/2408.09840
Autor:
Graf, Robert, Platzek, Paul-Sören, Riedel, Evamaria Olga, Ramschütz, Constanze, Starck, Sophie, Möller, Hendrik Kristian, Atad, Matan, Völzke, Henry, Bülow, Robin, Schmidt, Carsten Oliver, Rüdebusch, Julia, Jung, Matthias, Reisert, Marco, Weiss, Jakob, Löffler, Maximilian, Bamberg, Fabian, Wiestler, Bene, Paetzold, Johannes C., Rueckert, Daniel, Kirschke, Jan Stefan
Objectives: To present a publicly available torso segmentation network for large epidemiology datasets on volumetric interpolated breath-hold examination (VIBE) images. Materials & Methods: We extracted preliminary segmentations from TotalSegmentator
Externí odkaz:
http://arxiv.org/abs/2406.00125
Autor:
Belov, Vladimir, Erwin-Grabner, Tracy, Zeng, Ling-Li, Ching, Christopher R. K., Aleman, Andre, Amod, Alyssa R., Basgoze, Zeynep, Benedetti, Francesco, Besteher, Bianca, Brosch, Katharina, Bülow, Robin, Colle, Romain, Connolly, Colm G., Corruble, Emmanuelle, Couvy-Duchesne, Baptiste, Cullen, Kathryn, Dannlowski, Udo, Davey, Christopher G., Dols, Annemiek, Ernsting, Jan, Evans, Jennifer W., Fisch, Lukas, Fuentes-Claramonte, Paola, Gonul, Ali Saffet, Gotlib, Ian H., Grabe, Hans J., Groenewold, Nynke A., Grotegerd, Dominik, Hahn, Tim, Hamilton, J. Paul, Han, Laura K. M., Harrison, Ben J, Ho, Tiffany C., Jahanshad, Neda, Jamieson, Alec J., Karuk, Andriana, Kircher, Tilo, Klimes-Dougan, Bonnie, Koopowitz, Sheri-Michelle, Lancaster, Thomas, Leenings, Ramona, Li, Meng, Linden, David E. J., MacMaster, Frank P., Mehler, David M. A., Meinert, Susanne, Melloni, Elisa, Mueller, Bryon A., Mwangi, Benson, Nenadić, Igor, Ojha, Amar, Okamoto, Yasumasa, Oudega, Mardien L., Penninx, Brenda W. J. H., Poletti, Sara, Pomarol-Clotet, Edith, Portella, Maria J., Pozzi, Elena, Radua, Joaquim, Rodríguez-Cano, Elena, Sacchet, Matthew D., Salvador, Raymond, Schrantee, Anouk, Sim, Kang, Soares, Jair C., Solanes, Aleix, Stein, Dan J., Stein, Frederike, Stolicyn, Aleks, Thomopoulos, Sophia I., Toenders, Yara J., Uyar-Demir, Aslihan, Vieta, Eduard, Vives-Gilabert, Yolanda, Völzke, Henry, Walter, Martin, Whalley, Heather C., Whittle, Sarah, Winter, Nils, Wittfeld, Katharina, Wright, Margaret J., Wu, Mon-Ju, Yang, Tony T., Zarate, Carlos, Veltman, Dick J., Schmaal, Lianne, Thompson, Paul M., Goya-Maldonado, Roberto
Major depressive disorder (MDD) is a complex psychiatric disorder that affects the lives of hundreds of millions of individuals around the globe. Even today, researchers debate if morphological alterations in the brain are linked to MDD, likely due t
Externí odkaz:
http://arxiv.org/abs/2311.11046
Autor:
Maria L. Vozzo, Christina A. Buelow, Michael Sievers, M. Fernanda Adame, Paul Branson, Maddison Brown, Joseph R. Crosswell, Christopher Doropoulos, Ben L. Gilby, Francisco Martinez-Baena, Simon Reeves, Vera Rullens, Andy Steven, Ziyu Xiao, Kirk Dahle, Brian Silliman, Remment ter Hofstede, Mark van Koningsveld, Megan I. Saunders
Publikováno v:
npj Ocean Sustainability, Vol 3, Iss 1, Pp 1-14 (2024)
Abstract Cross-habitat facilitative processes can enhance seascape restoration outcomes but there is uncertainty around the spatial dependencies of these processes across habitats. We synthesised the influence of environmental parameters on six proce
Externí odkaz:
https://doaj.org/article/9287d806786a4ef1ace60f8999984886
Autor:
Stephanie Buelow
Publikováno v:
School-University Partnerships, Vol 17, Iss 4, Pp 421-430 (2024)
Purpose – School–university partnerships are the core of effective teacher preparation programs, and central to this model are the classroom teachers who mentor preservice teachers into the profession. This article describes an innovative collabo
Externí odkaz:
https://doaj.org/article/73a5b0e9c01a4a3f9115215d58d41584
Autor:
Faubel, Leonhard, Woudsma, Thomas, Methnani, Leila, Ghezeljhemeidan, Amir Ghorbani, Buelow, Fabian, Schmid, Klaus, van Driel, Willem D., Kloepper, Benjamin, Theodorou, Andreas, Nosratinia, Mohsen, Bång, Magnus
Machine learning (ML) has become a popular tool in the industrial sector as it helps to improve operations, increase efficiency, and reduce costs. However, deploying and managing ML models in production environments can be complex. This is where Mach
Externí odkaz:
http://arxiv.org/abs/2309.12756
In molecular dynamics simulations in the NPT ensemble at constant pressure, the size and shape of the periodic simulation box fluctuate with time. For particle images far from the origin, the rescaling of the box by the barostat results in unbounded
Externí odkaz:
http://arxiv.org/abs/2303.09418
Publikováno v:
eLife, Vol 13 (2024)
We use data from 30 countries and find that the more women in a discipline, the lower quality the research in that discipline is evaluated to be and the lower the funding success rate is. This affects men and women, and is robust to age, number of re
Externí odkaz:
https://doaj.org/article/911e0f94f5484a53a6a83c71cd2527d4
Autor:
Belov, Vladimir, Erwin-Grabner, Tracy, Gonul, Ali Saffet, Amod, Alyssa R., Ojha, Amar, Aleman, Andre, Dols, Annemiek, Scharntee, Anouk, Uyar-Demir, Aslihan, Harrison, Ben J, Irungu, Benson M., Besteher, Bianca, Klimes-Dougan, Bonnie, Penninx, Brenda W. J. H., Mueller, Bryon A., Zarate, Carlos, Davey, Christopher G., Ching, Christopher R. K., Connolly, Colm G., Fu, Cynthia H. Y., Stein, Dan J., Dima, Danai, Linden, David E. J., Mehler, David M. A., Pomarol-Clotet, Edith, Pozzi, Elena, Melloni, Elisa, Benedetti, Francesco, MacMaster, Frank P., Grabe, Hans J., Völzke, Henry, Gotlib, Ian H., Soares, Jair C., Evans, Jennifer W., Sim, Kang, Wittfeld, Katharina, Cullen, Kathryn, Reneman, Liesbeth, Oudega, Mardien L., Wright, Margaret J., Portella, Maria J., Sacchet, Matthew D., Li, Meng, Aghajani, Moji, Wu, Mon-Ju, Jaworska, Natalia, Jahanshad, Neda, van der Wee, Nic J. A., Groenewold, Nynke, Hamilton, Paul J., Saemann, Philipp, Bülow, Robin, Poletti, Sara, Whittle, Sarah, Thomopoulos, Sophia I., van, Steven J. A., Werff, der, Koopowitz, Sheri-Michelle, Lancaster, Thomas, Ho, Tiffany C., Yang, Tony T., Basgoze, Zeynep, Veltman, Dick J., Schmaal, Lianne, Thompson, Paul M., Goya-Maldonado, Roberto
Machine learning (ML) techniques have gained popularity in the neuroimaging field due to their potential for classifying neuropsychiatric disorders. However, the diagnostic predictive power of the existing algorithms has been limited by small sample
Externí odkaz:
http://arxiv.org/abs/2206.08122