Zobrazeno 1 - 10
of 30 938
pro vyhledávání: '"Ipek, A"'
The availability of large-scale neuronal population datasets necessitates new methods to model population dynamics and extract interpretable, scientifically translatable insights. Existing deep learning methods often overlook the biological mechanism
Externí odkaz:
http://arxiv.org/abs/2411.08221
Autor:
Yao, Xing, Yu, Runxuan, Hu, Dewei, Yang, Hao, Lou, Ange, Wang, Jiacheng, Lu, Daiwei, Arenas, Gabriel, Oguz, Baris, Pouch, Alison, Schwartz, Nadav, Byram, Brett C, Oguz, Ipek
Ultrasound (US) image stitching can expand the field-of-view (FOV) by combining multiple US images from varied probe positions. However, registering US images with only partially overlapping anatomical contents is a challenging task. In this work, we
Externí odkaz:
http://arxiv.org/abs/2411.06750
We introduce a new classical simulation algorithm based on non-signaling polytopes of multipartite Bell scenarios, capable of simulating universal measurement-based quantum computation with single-qubit Pauli measurements. In our model, the simultane
Externí odkaz:
http://arxiv.org/abs/2410.23734
Autor:
Srba, Ivan, Razuvayevskaya, Olesya, Leite, João A., Moro, Robert, Schlicht, Ipek Baris, Tonelli, Sara, García, Francisco Moreno, Lottmann, Santiago Barrio, Teyssou, Denis, Porcellini, Valentin, Scarton, Carolina, Bontcheva, Kalina, Bielikova, Maria
In the current era of social media and generative AI, an ability to automatically assess the credibility of online social media content is of tremendous importance. Credibility assessment is fundamentally based on aggregating credibility signals, whi
Externí odkaz:
http://arxiv.org/abs/2410.21360
Deep learning has shown remarkable performance in medical image segmentation. However, despite its promise, deep learning has many challenges in practice due to its inability to effectively transition to unseen domains, caused by the inherent data di
Externí odkaz:
http://arxiv.org/abs/2410.04648
Our study uses the centralized, flexible, dynamic, and programmable structure of Software-Defined networks (SDN) to overcome the problems. Although SDN effectively addresses the challenges present in traditional networks, it still requires further en
Externí odkaz:
http://arxiv.org/abs/2409.10512
Autor:
Koshitani, Shigeo, Tuvay, İpek
It is proven that if a finite group $G$ has a normal subgroup $H$ with $p'$-index (where $p$ is a prime) and $G/H$ is solvable, then for a $p$-subgroup $P$ of $H$, if the Scott $kH$-module with vertex $P$ is Brauer indecomposable, then so is the Scot
Externí odkaz:
http://arxiv.org/abs/2409.00403
Is the Standard Model Charge-Parity (CP) violation ever enough to generate the observed baryon asymmetry? Yes! We introduce a mechanism of baryogenesis (and dark matter production) that can generate the entire observed baryon asymmetry of the Univers
Externí odkaz:
http://arxiv.org/abs/2408.12647
Autor:
Li, Hao, Oguz, Baris, Arenas, Gabriel, Yao, Xing, Wang, Jiacheng, Pouch, Alison, Byram, Brett, Schwartz, Nadav, Oguz, Ipek
Placenta volume measured from 3D ultrasound (3DUS) images is an important tool for tracking the growth trajectory and is associated with pregnancy outcomes. Manual segmentation is the gold standard, but it is time-consuming and subjective. Although f
Externí odkaz:
http://arxiv.org/abs/2408.05372
Autor:
Li, Hao, Liu, Han, von Busch, Heinrich, Grimm, Robert, Huisman, Henkjan, Tong, Angela, Winkel, David, Penzkofer, Tobias, Shabunin, Ivan, Choi, Moon Hyung, Yang, Qingsong, Szolar, Dieter, Shea, Steven, Coakley, Fergus, Harisinghani, Mukesh, Oguz, Ipek, Comaniciu, Dorin, Kamen, Ali, Lou, Bin
Publikováno v:
Radiology: Artificial Intelligence 2024;6(5):e230521
Our hypothesis is that UDA using diffusion-weighted images, generated with a unified model, offers a promising and reliable strategy for enhancing the performance of supervised learning models in multi-site prostate lesion detection, especially when
Externí odkaz:
http://arxiv.org/abs/2408.04777