Zobrazeno 1 - 10
of 267 699
pro vyhledávání: 'Haase, Michael'
Autor:
Meth, Michael, Haase, Jan F., Zhang, Jinglei, Edmunds, Claire, Postler, Lukas, Steiner, Alex, Jena, Andrew J., Dellantonio, Luca, Blatt, Rainer, Zoller, Peter, Monz, Thomas, Schindler, Philipp, Muschik, Christine, Ringbauer, Martin
Particle physics underpins our understanding of the world at a fundamental level by describing the interplay of matter and forces through gauge theories. Yet, despite their unmatched success, the intrinsic quantum mechanical nature of gauge theories
Externí odkaz:
http://arxiv.org/abs/2310.12110
We present SemOpenAlex, an extensive RDF knowledge graph that contains over 26 billion triples about scientific publications and their associated entities, such as authors, institutions, journals, and concepts. SemOpenAlex is licensed under CC0, prov
Externí odkaz:
http://arxiv.org/abs/2308.03671
Autor:
Reinke, Annika, Tizabi, Minu D., Baumgartner, Michael, Eisenmann, Matthias, Heckmann-Nötzel, Doreen, Kavur, A. Emre, Rädsch, Tim, Sudre, Carole H., Acion, Laura, Antonelli, Michela, Arbel, Tal, Bakas, Spyridon, Benis, Arriel, Blaschko, Matthew, Buettner, Florian, Cardoso, M. Jorge, Cheplygina, Veronika, Chen, Jianxu, Christodoulou, Evangelia, Cimini, Beth A., Collins, Gary S., Farahani, Keyvan, Ferrer, Luciana, Galdran, Adrian, van Ginneken, Bram, Glocker, Ben, Godau, Patrick, Haase, Robert, Hashimoto, Daniel A., Hoffman, Michael M., Huisman, Merel, Isensee, Fabian, Jannin, Pierre, Kahn, Charles E., Kainmueller, Dagmar, Kainz, Bernhard, Karargyris, Alexandros, Karthikesalingam, Alan, Kenngott, Hannes, Kleesiek, Jens, Kofler, Florian, Kooi, Thijs, Kopp-Schneider, Annette, Kozubek, Michal, Kreshuk, Anna, Kurc, Tahsin, Landman, Bennett A., Litjens, Geert, Madani, Amin, Maier-Hein, Klaus, Martel, Anne L., Mattson, Peter, Meijering, Erik, Menze, Bjoern, Moons, Karel G. M., Müller, Henning, Nichyporuk, Brennan, Nickel, Felix, Petersen, Jens, Rafelski, Susanne M., Rajpoot, Nasir, Reyes, Mauricio, Riegler, Michael A., Rieke, Nicola, Saez-Rodriguez, Julio, Sánchez, Clara I., Shetty, Shravya, van Smeden, Maarten, Summers, Ronald M., Taha, Abdel A., Tiulpin, Aleksei, Tsaftaris, Sotirios A., Van Calster, Ben, Varoquaux, Gaël, Wiesenfarth, Manuel, Yaniv, Ziv R., Jäger, Paul F., Maier-Hein, Lena
Publikováno v:
Nature methods, 1-13 (2024)
Validation metrics are key for the reliable tracking of scientific progress and for bridging the current chasm between artificial intelligence (AI) research and its translation into practice. However, increasing evidence shows that particularly in im
Externí odkaz:
http://arxiv.org/abs/2302.01790
Autor:
McElwain, Michael W., Feinberg, Lee D., Perrin, Marshall D., Clampin, Mark, Mountain, C. Matt, Lallo, Matthew D., Lajoie, Charles-Philippe, Kimble, Randy A., Bowers, Charles W., Stark, Christopher C., Acton, D. Scott, Aiello, Ken, Atkinson, Charles, Barinek, Beth, Barto, Allison, Basinger, Scott, Beck, Tracy, Bergkoetter, Matthew D., Bluth, Marcel, Boucarut, Rene A., Brady, Gregory R., Brooks, Keira J., Brown, Bob, Byard, John, Carey, Larkin, Carrasquilla, Maria, Celeste, Sid, Chae, Dan, Chaney, David, Chayer, Pierre, Chonis, Taylor, Cohen, Lester, Cole, Helen J., Comeau, Thomas M., Coon, Matthew, Coppock, Eric, Coyle, Laura, Davis, Rick, Dean, Bruce H., Dziak, Kenneth J., Eisenhower, Michael, Flagey, Nicolas, Franck, Randy, Gallagher, Benjamin, Gilman, Larry, Glassman, Tiffany, Golnik, Gary, Green, Joseph J., Grieco, John, Haase, Shari, Hadjimichael, Theodore J., Hagopian, John G., Hahn, Walter G., Hartig, George F., Havey, Keith A., Hayden, William L., Hellekson, Robert, Hicks, Brian, Holfeltz, Sherie T., Howard, Joseph M., Huguet, Jesse A., Jahne, Brian, Johnson, Leslie A., Johnston, John D., Jurling, Alden S., Kegley, Jeffrey R., Kennard, Scott, Keski-Kuha, Ritva A., Knight, J. Scott, Kulp, Bernard A., Levi, Joshua S., Levine, Marie B., Lightsey, Paul, Luetgens, Robert A., Mather, John C., Matthews, Gary W., McKay, Andrew G., Mehalick, Kimberly I., Meléndez, Marcio, Messer, Ted, Mosier, Gary E., Murphy, Jess, Nelan, Edmund P., Niedner, Malcolm B., Noël, Darin M., Ohara, Catherine M., Ohl, Raymond G., Olczak, Eugene, Osborne, Shannon B., Park, Sang, Patton, Kevin, Perrygo, Charles, Pueyo, Laurent, Quesnel, Lisbeth, Ranck, Dale, Redding, David C., Regan, Michael W., Reynolds, Paul, Rifelli, Rich, Rigby, Jane R., Sabatke, Derek, Saif, Babak N., Scorse, Thomas R., Seo, Byoung-Joon, Shi, Fang, Sigrist, Norbert, Smith, Koby, Smith, J. Scott, Smith, Erin C., Sohn, Sangmo Tony, Spina, John, Stahl, H. Philip, Telfer, Randal, Terlecki, Todd, Texter, Scott C., Van Buren, David, Van Campen, Julie M., Vila, Begoña, Voyton, Mark F., Waldman, Mark, Walker, Chanda B., Weiser, Nick, Wells, Conrad, West, Garrett, Whitman, Tony L., Wick, Eric, Wolf, Erin, Young, Greg, Zielinski, Thomas P.
The James Webb Space Telescope (JWST) is a large, infrared space telescope that has recently started its science program which will enable breakthroughs in astrophysics and planetary science. Notably, JWST will provide the very first observations of
Externí odkaz:
http://arxiv.org/abs/2301.01779
Quantum sensing encompasses highly promising techniques with diverse applications including noise-reduced imaging, super-resolution microscopy as well as imaging and spectroscopy in challenging spectral ranges. These detection schemes use biphoton co
Externí odkaz:
http://arxiv.org/abs/2211.11844
Autor:
Maier-Hein, Lena, Reinke, Annika, Godau, Patrick, Tizabi, Minu D., Buettner, Florian, Christodoulou, Evangelia, Glocker, Ben, Isensee, Fabian, Kleesiek, Jens, Kozubek, Michal, Reyes, Mauricio, Riegler, Michael A., Wiesenfarth, Manuel, Kavur, A. Emre, Sudre, Carole H., Baumgartner, Michael, Eisenmann, Matthias, Heckmann-Nötzel, Doreen, Rädsch, Tim, Acion, Laura, Antonelli, Michela, Arbel, Tal, Bakas, Spyridon, Benis, Arriel, Blaschko, Matthew, Cardoso, M. Jorge, Cheplygina, Veronika, Cimini, Beth A., Collins, Gary S., Farahani, Keyvan, Ferrer, Luciana, Galdran, Adrian, van Ginneken, Bram, Haase, Robert, Hashimoto, Daniel A., Hoffman, Michael M., Huisman, Merel, Jannin, Pierre, Kahn, Charles E., Kainmueller, Dagmar, Kainz, Bernhard, Karargyris, Alexandros, Karthikesalingam, Alan, Kenngott, Hannes, Kofler, Florian, Kopp-Schneider, Annette, Kreshuk, Anna, Kurc, Tahsin, Landman, Bennett A., Litjens, Geert, Madani, Amin, Maier-Hein, Klaus, Martel, Anne L., Mattson, Peter, Meijering, Erik, Menze, Bjoern, Moons, Karel G. M., Müller, Henning, Nichyporuk, Brennan, Nickel, Felix, Petersen, Jens, Rajpoot, Nasir, Rieke, Nicola, Saez-Rodriguez, Julio, Sánchez, Clara I., Shetty, Shravya, van Smeden, Maarten, Summers, Ronald M., Taha, Abdel A., Tiulpin, Aleksei, Tsaftaris, Sotirios A., Van Calster, Ben, Varoquaux, Gaël, Jäger, Paul F.
Publikováno v:
Nature methods, 1-18 (2024)
Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. Particularly in automatic biomedical image analysis, chosen performance metrics often do not reflect the domain interest, thus fa
Externí odkaz:
http://arxiv.org/abs/2206.01653