Zobrazeno 1 - 10
of 3 404
pro vyhledávání: '"Sonka, A"'
Deep learning (DL) methods have shown remarkable successes in medical image segmentation, often using large amounts of annotated data for model training. However, acquiring a large number of diverse labeled 3D medical image datasets is highly difficu
Externí odkaz:
http://arxiv.org/abs/2411.13873
Autor:
Behovits, Yannic, Chekhov, Alexander L., Serrano, Bruno Rosinus, Ruge, Amon, Reimers, Sonka, Lytvynenko, Yaryna, Kläui, Mathias, Jourdan, Martin, Kampfrath, Tobias
Antiferromagnetic materials have great potential for spintronic applications at terahertz (THz) frequencies. However, in contrast to ferromagnets, experimental studies of antiferromagnets are often challenging due to a lack of straightforward externa
Externí odkaz:
http://arxiv.org/abs/2409.18107
This paper introduces Spectral U-Net, a novel deep learning network based on spectral decomposition, by exploiting Dual Tree Complex Wavelet Transform (DTCWT) for down-sampling and inverse Dual Tree Complex Wavelet Transform (iDTCWT) for up-sampling.
Externí odkaz:
http://arxiv.org/abs/2409.09216
Diffusion models (DPMs) have demonstrated remarkable performance in image generation, often times outperforming other generative models. Since their introduction, the powerful noise-to-image denoising pipeline has been extended to various discriminat
Externí odkaz:
http://arxiv.org/abs/2407.12952
Autor:
Sierra, Carlos E., Harrington, Kathleen, Sutariya, Shreya, Alford, Thomas, Kofman, Anna M., Chesmore, Grace E., Austermann, Jason E., Bazarko, Andrew, Beall, James A., Bhandarkar, Tanay, Devlin, Mark J., Dicker, Simon R., Dow, Peter N., Duff, Shannon M., Dutcher, Daniel, Galitzki, Nicholas, Golec, Joseph E., Groh, John C., Gudmundsson, Jon E., Haridas, Saianeesh K., Healy, Erin, Hubmayr, Johannes, Iuliano, Jeffrey, Johnson, Bradley R., Lessler, Claire S., Lew, Richard A., Link, Michael J., Lucas, Tammy J., McMahon, Jeffrey J., Moore, Jenna E., Nati, Federico, Niemack, Michael D., Schmitt, Benjamin L., Silva-Feaver, Max, Singh, Robinjeet, Sonka, Rita F., Thomas, Alex, Thornton, Robert J., Tsan, Tran, Ullom, Joel N., Van Lanen, Jeffrey L., Vavagiakis, Eve M., Vissers, Michael R., Wang, Yuhan, Zheng, Kaiwen
The Simons Observatory will map the temperature and polarization over half of the sky, at millimeter wavelengths in six spectral bands from the Atacama Desert in Chile. These data will provide new insights into the genesis, content, and history of ou
Externí odkaz:
http://arxiv.org/abs/2405.06868
Autor:
Duff, Shannon M., Austermann, Jason, Beall, James A., Daniel, David P., Hubmayr, Johannes, Jaehnig, Greg C., Johnson, Bradley R., Jones, Dante, Link, Michael J., Lucas, Tammy J., Sonka, Rita F., Staggs, Suzanne T., Ullom, Joel, Wang, Yuhan
The Simons Observatory (SO) is a cosmic microwave background instrumentation suite in the Atacama Desert of Chile. More than 65,000 polarization-sensitive transition-edge sensor (TES) bolometers will be fielded in the frequency range spanning 27 to 2
Externí odkaz:
http://arxiv.org/abs/2403.18225
Diffusion models have shown impressive performance for image generation, often times outperforming other generative models. Since their introduction, researchers have extended the powerful noise-to-image denoising pipeline to discriminative tasks, in
Externí odkaz:
http://arxiv.org/abs/2312.12649
In this paper, we introduce U-Net v2, a new robust and efficient U-Net variant for medical image segmentation. It aims to augment the infusion of semantic information into low-level features while simultaneously refining high-level features with fine
Externí odkaz:
http://arxiv.org/abs/2311.17791
Autor:
Dutcher, Daniel, Duff, Shannon M., Groh, John C., Healy, Erin, Hubmayr, Johannes, Johnson, Bradley R., Jones, Dante, Keller, Ben, Lin, Lawrence T., Link, Michael J., Lucas, Tammy J., Morgan, Samuel, Seino, Yudai, Sonka, Rita F., Staggs, Suzanne T., Wang, Yuhan, Zheng, Kaiwen
The Simons Observatory (SO) is a cosmic microwave background instrumentation suite being deployed in the Atacama Desert in northern Chile. The telescopes within SO use three types of dichroic transition-edge sensor (TES) detector arrays, with the 90
Externí odkaz:
http://arxiv.org/abs/2311.05583
Quantum image processing is a growing field attracting attention from both the quantum computing and image processing communities. We propose a novel method in combining a graph-theoretic approach for optimal surface segmentation and hybrid quantum-c
Externí odkaz:
http://arxiv.org/abs/2310.20154