Zobrazeno 1 - 10
of 262
pro vyhledávání: '"Garcia, Eloy"'
Integrating 2D mammography with 3D magnetic resonance imaging (MRI) is crucial for improving breast cancer diagnosis and treatment planning. However, this integration is challenging due to differences in imaging modalities and the need for precise ti
Externí odkaz:
http://arxiv.org/abs/2411.18784
Breast compression simulation is essential for accurate image registration from 3D modalities to X-ray procedures like mammography. It accounts for tissue shape and position changes due to compression, ensuring precise alignment and improved analysis
Externí odkaz:
http://arxiv.org/abs/2411.06596
One of the most animated themes of multidimensional persistence is the comparison between invariants. The matching distance between persistent Betti numbers functions (or rank invariants), is among the most studied metrics in this context, particular
Externí odkaz:
http://arxiv.org/abs/2312.04201
Autor:
Pasadas, Francisco, Medina-Rull, Alberto, Ruiz, Francisco G., Ramos-Silva, Javier Noe, Pacheco-Sanchez, Anibal, Pardo, Mari Carmen, Toral-Lopez, Alejandro, Godoy, Andrés, Ramírez-García, Eloy, Jiménez, David, Marin, Enrique G.
Exploiting ambipolar electrical conductivity based on graphene field-effect transistors has raised enormous interest for high-frequency (HF) analog electronics. Controlling the device polarity, by biasing the graphene transistor around the vertex of
Externí odkaz:
http://arxiv.org/abs/2309.08519
Publikováno v:
IEEE Journal of the Electron Devices Society, 2023
A first modeling approximation of the general performance of radiofrequency (RF) switches based on hexagonal boron nitride (hBN), a two-dimensional (2D) dielectric material is presented. The I-V characteristics intrinsic and extrinsic impedance param
Externí odkaz:
http://arxiv.org/abs/2304.12106
Autor:
Osuala, Richard, Skorupko, Grzegorz, Lazrak, Noussair, Garrucho, Lidia, García, Eloy, Joshi, Smriti, Jouide, Socayna, Rutherford, Michael, Prior, Fred, Kushibar, Kaisar, Diaz, Oliver, Lekadir, Karim
Publikováno v:
Journal of Medical Imaging 10.6 (2023) 061403
Synthetic data generated by generative models can enhance the performance and capabilities of data-hungry deep learning models in medical imaging. However, there is (1) limited availability of (synthetic) datasets and (2) generative models are comple
Externí odkaz:
http://arxiv.org/abs/2209.14472
The maximum surveillance of a target which is holding course is considered, wherein an observer vehicle aims to maximize the time that a faster target remains within a fixed-range of the observer. This entails two coupled phases: an approach phase an
Externí odkaz:
http://arxiv.org/abs/2209.11289
A conflict between rational and autonomous agents is considered. The paper addresses a differential game of protecting a target in the 3-D space. This problem highlights the strong correlation between the highly dynamic scenario, the uncertainty on t
Externí odkaz:
http://arxiv.org/abs/2202.01826
Autor:
Bajaj, Shivam, Torng, Eric, Bopardikar, Shaunak D., Von Moll, Alexander, Weintraub, Isaac, Garcia, Eloy, Casbeer, David W.
We consider a perimeter defense problem in a planar conical environment in which a single vehicle, having a finite capture radius, aims to defend a concentric perimeter from mobile intruders. The intruders are arbitrarily released at the circumferenc
Externí odkaz:
http://arxiv.org/abs/2110.04667