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A first glimpse at the MeerKAT DEEP2 field at S-band

Autor: Ranchod, S., Wagenveld, J. D., Klöckner, H. -R., Wucknitz, O., Deane, R. P., Sridhar, S. S., Barr, E., Buchner, S., Camilo, F., Damas-Segovia, A., Kasemann, C., Kramer, M., Legodi, L. S., Mao, S. A., Menten, K., Rammala, I., Rugel, M. R., Wieching, G.

We present the first widefield extragalactic continuum catalogue with the MeerKAT S-band (2.5 GHz), of the radio-selected DEEP2 field. The combined image over the S1 (1.96 - 2.84 GHz) and S4 (2.62 - 3.50 GHz) sub-bands has an angular resolution of 6.

Externí odkaz: http://arxiv.org/abs/2412.09314

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Highest weight vectors, shifted topological recursion and quantum curves

Autor: Belliard, Raphaël, Bouchard, Vincent, Kramer, Reinier, Nelson, Tanner

We extend the theory of topological recursion by considering Airy structures whose partition functions are highest weight vectors of particular $\mathcal{W}$-algebra representations. Such highest weight vectors arise as partition functions of Airy st

Externí odkaz: http://arxiv.org/abs/2412.09120

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How to select slices for annotation to train best-performing deep learning segmentation models for cross-sectional medical images?

Autor: Zhang, Yixin, Kramer, Kevin, Mazurowski, Maciej A.

Automated segmentation of medical images highly depends on the availability of accurate manual image annotations. Such annotations are very time-consuming and costly to generate, and often require specialized expertise, particularly for cross-section

Externí odkaz: http://arxiv.org/abs/2412.08081

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The High Time Resolution Universe Pulsar Survey-XIX. A coherent GPU accelerated reprocessing and the discovery of 71 pulsars in the Southern Galactic plane

We have conducted a GPU accelerated reprocessing of $\sim 87\%$ of the archival data from the High Time Resolution Universe South Low Latitude (HTRU-S LowLat) pulsar survey by implementing a pulsar search pipeline that was previously used to reproces

Externí odkaz: http://arxiv.org/abs/2412.07104

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The impact on astrometry by solar-wind effect in pulsar timing

Autor: Liu, K., Parthasarathy, A., Keith, M., Tiburzi, C., Susarla, S. C., Antoniadis, J., Chalumeau, A., Chen, S., Cognard, I., Golden, A., Grießmeier, J. -M., Guillemot, L., Janssen, G. H., Keane, E. F., Kramer, M., McKee, J. W., Mickaliger, M. B., Theureau, G., Wang, J.

Astrometry of pulsars, particularly their distances, serves as a critical input for various astrophysical experiments using pulsars. Pulsar timing is a primary approach for determining a pulsar's position, parallax, and distance. In this paper, we ex

Externí odkaz: http://arxiv.org/abs/2412.07103

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Sliding Squares in Parallel

Autor: Akitaya, Hugo A., Fekete, Sándor P., Kramer, Peter, Molaei, Saba, Rieck, Christian, Stock, Frederick, Wallner, Tobias

We consider algorithmic problems motivated by modular robotic reconfiguration, for which we are given $n$ square-shaped modules (or robots) in a (labeled or unlabeled) start configuration and need to find a schedule of sliding moves to transform it i

Externí odkaz: http://arxiv.org/abs/2412.05523

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Spinal ligaments detection on vertebrae meshes using registration and 3D edge detection

Autor: Kramer, Ivanna, Blomenkamp, Lara, Weirauch, Kevin, Bauer, Sabine, Paulus, Dietrich

Spinal ligaments are crucial elements in the complex biomechanical simulation models as they transfer forces on the bony structure, guide and limit movements and stabilize the spine. The spinal ligaments encompass seven major groups being responsible

Externí odkaz: http://arxiv.org/abs/2412.05081

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Reconstruction of 3D lumbar spine models from incomplete segmentations using landmark detection

Autor: Blomenkamp, Lara, Kramer, Ivanna, Bauer, Sabine, Weirauch, Kevin, Paulus, Dietrich

Patient-specific 3D spine models serve as a foundation for spinal treatment and surgery planning as well as analysis of loading conditions in biomechanical and biomedical research. Despite advancements in imaging technologies, the reconstruction of c

Externí odkaz: http://arxiv.org/abs/2412.05065

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Quantifying the Limits of Segment Anything Model: Analyzing Challenges in Segmenting Tree-Like and Low-Contrast Structures

Autor: Zhang, Yixin, Konz, Nicholas, Kramer, Kevin, Mazurowski, Maciej A.

Segment Anything Model (SAM) has shown impressive performance in interactive and zero-shot segmentation across diverse domains, suggesting that they have learned a general concept of "objects" from their large-scale training. However, we observed tha

Externí odkaz: http://arxiv.org/abs/2412.04243

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