Zobrazeno 1 - 10
of 5 514
pro vyhledávání: '"Justin, G. A."'
Autor:
Alexeev, Yuri, Farag, Marwa H., Patti, Taylor L., Wolf, Mark E., Ares, Natalia, Aspuru-Guzik, Alán, Benjamin, Simon C., Cai, Zhenyu, Chandani, Zohim, Fedele, Federico, Harrigan, Nicholas, Kim, Jin-Sung, Kyoseva, Elica, Lietz, Justin G., Lubowe, Tom, McCaskey, Alexander, Melko, Roger G., Nakaji, Kouhei, Peruzzo, Alberto, Stanwyck, Sam, Tubman, Norm M., Wang, Hanrui, Costa, Timothy
Artificial intelligence (AI) advancements over the past few years have had an unprecedented and revolutionary impact across everyday application areas. Its significance also extends to technical challenges within science and engineering, including th
Externí odkaz:
http://arxiv.org/abs/2411.09131
Autor:
Meena, Muralikrishnan Gopalakrishnan, Gottiparthi, Kalyana C., Lietz, Justin G., Georgiadou, Antigoni, Pérez, Eduardo Antonio Coello
The development of quantum processors capable of handling practical fluid flow problems represents a distant yet promising frontier. Recent strides in quantum algorithms, particularly linear solvers, have illuminated the path toward quantum solutions
Externí odkaz:
http://arxiv.org/abs/2409.10857
Autor:
Francis, Emmet A., Laughlin, Justin G., Dokken, Jørgen S., Finsberg, Henrik N. T., Lee, Christopher T., Rognes, Marie E., Rangamani, Padmini
Biological cells rely on precise spatiotemporal coordination of biochemical reactions to control their many functions. Such cell signaling networks have been a common focus for mathematical models, but they remain challenging to simulate, particularl
Externí odkaz:
http://arxiv.org/abs/2405.15968
Autor:
Heinlein, Lukas, Maron, Roman C., Hekler, Achim, Haggenmüller, Sarah, Wies, Christoph, Utikal, Jochen S., Meier, Friedegund, Hobelsberger, Sarah, Gellrich, Frank F., Sergon, Mildred, Hauschild, Axel, French, Lars E., Heinzerling, Lucie, Schlager, Justin G., Ghoreschi, Kamran, Schlaak, Max, Hilke, Franz J., Poch, Gabriela, Korsing, Sören, Berking, Carola, Heppt, Markus V., Erdmann, Michael, Haferkamp, Sebastian, Drexler, Konstantin, Schadendorf, Dirk, Sondermann, Wiebke, Goebeler, Matthias, Schilling, Bastian, Krieghoff-Henning, Eva, Brinker, Titus J.
Early detection of melanoma, a potentially lethal type of skin cancer with high prevalence worldwide, improves patient prognosis. In retrospective studies, artificial intelligence (AI) has proven to be helpful for enhancing melanoma detection. Howeve
Externí odkaz:
http://arxiv.org/abs/2401.14193
Publikováno v:
Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis (SC-W 2023), November 12--17, 2023, Denver, CO, USA
We introduce the Trapped-Ion Surface Code Compiler (TISCC), a software tool that generates circuits for a universal set of surface code patch operations in terms of a native trapped-ion gate set. To accomplish this, TISCC manages an internal represen
Externí odkaz:
http://arxiv.org/abs/2311.10687
Autor:
Bauman, Paul T., Budiardja, Reuben D., Bykov, Dmytro, Chalmers, Noel, Chen, Jacqueline, Curtis, Nicholas, Day, Marc, Eisenbach, Markus, Esclapez, Lucas, Fanfarillo, Alessandro, Freitag, William, Frontiere, Nicholas, Georgiadou, Antigoni, Glenski, Joseph, Gottiparthi, Kalyana, de Frahan, Marc T. Henry, Jansen, Gustav R., Joubert, Wayne, Lietz, Justin G., Kurzak, Jakub, Malaya, Nicholas, Messer, Bronson, McDougall, Damon, Mullowney, Paul, Nichols, Stephen, Norman, Matthew, Papatheodore, Thomas, Rood, Jon, Roth, Philip C., Sreepathi, Sarat, White III, James, Wolfe, Noah
The advent of exascale computing invites an assessment of existing best practices for developing application readiness on the world's largest supercomputers. This work details observations from the last four years in preparing scientific applications
Externí odkaz:
http://arxiv.org/abs/2310.01586
Autor:
Lukas Heinlein, Roman C. Maron, Achim Hekler, Sarah Haggenmüller, Christoph Wies, Jochen S. Utikal, Friedegund Meier, Sarah Hobelsberger, Frank F. Gellrich, Mildred Sergon, Axel Hauschild, Lars E. French, Lucie Heinzerling, Justin G. Schlager, Kamran Ghoreschi, Max Schlaak, Franz J. Hilke, Gabriela Poch, Sören Korsing, Carola Berking, Markus V. Heppt, Michael Erdmann, Sebastian Haferkamp, Konstantin Drexler, Dirk Schadendorf, Wiebke Sondermann, Matthias Goebeler, Bastian Schilling, Eva Krieghoff-Henning, Titus J. Brinker
Publikováno v:
Communications Medicine, Vol 4, Iss 1, Pp 1-9 (2024)
Abstract Background Early detection of melanoma, a potentially lethal type of skin cancer with high prevalence worldwide, improves patient prognosis. In retrospective studies, artificial intelligence (AI) has proven to be helpful for enhancing melano
Externí odkaz:
https://doaj.org/article/b94e12d429514a5caf386ed1f4f44417
Autor:
Laughlin, Justin G., Dokken, Jørgen S., Finsberg, Henrik N. T., Francis, Emmet A., Lee, Christopher T., Rognes, Marie E., Rangamani, Padmini
Recent advances in microscopy and 3D reconstruction methods have allowed for characterization of cellular morphology in unprecedented detail, including the irregular geometries of intracellular subcompartments such as membrane-bound organelles. These
Externí odkaz:
http://arxiv.org/abs/2306.07368
Autor:
Hekler, Achim, Maron, Roman C., Haggenmüller, Sarah, Schmitt, Max, Wies, Christoph, Utikal, Jochen S., Meier, Friedegund, Hobelsberger, Sarah, Gellrich, Frank F., Sergon, Mildred, Hauschild, Axel, French, Lars E., Heinzerling, Lucie, Schlager, Justin G., Ghoreschi, Kamran, Schlaak, Max, Hilke, Franz J., Poch, Gabriela, Korsing, Sören, Berking, Carola, Heppt, Markus V., Erdmann, Michael, Haferkamp, Sebastian, Drexler, Konstantin, Schadendorf, Dirk, Sondermann, Wiebke, Goebeler, Matthias, Schilling, Bastian, Kather, Jakob N., Krieghoff-Henning, Eva, Brinker, Titus J.
Background: Convolutional neural network (CNN)-based melanoma classifiers face several challenges that limit their usefulness in clinical practice. Objective: To investigate the impact of multiple real-world dermoscopic views of a single lesion of in
Externí odkaz:
http://arxiv.org/abs/2306.02800
Autor:
Justin G. John, Bhim Bahadur Shreemal
Publikováno v:
CHRISMED Journal of Health and Research, Vol 11, Iss 1, Pp 23-30 (2024)
Study Type: Retrospective cohort study. Background and Purpose: Locally aggressive lesions of the proximal femur represent a spectrum of pathologies in the younger age group, which result in large defects. Safe surgical dislocation (SSD) is one of th
Externí odkaz:
https://doaj.org/article/a127121193044dfea6ce215bafe4c045