71 citations · 111 across the 6 of their papers we have counts for
9 papers
High-accuracy numerical models of Brownian thermal noise in thin mirror coatings
Nils L. Vu, Samuel Rodriguez, Tom Włodarczyk +8
Brownian coating thermal noise in detector test masses is limiting the sensitivity of current gravitational-wave detectors on Earth. Therefore, accurate numerical models can inform…
A scalable elliptic solver with task-based parallelism for the SpECTRE numerical relativity code
Nils L. Vu, Harald P. Pfeiffer, Gabriel S. Bonilla +10
Elliptic partial differential equations must be solved numerically for many problems in numerical relativity, such as initial data for every simulation of merging black holes and n…
Simulating magnetized neutron stars with discontinuous Galerkin methods
Nils Deppe, François Hébert, Lawrence E. Kidder +33
Discontinuous Galerkin methods are popular because they can achieve high order where the solution is smooth, because they can capture shocks while needing only nearest-neighbor com…
FetalNet: Multi-task Deep Learning Framework for Fetal Ultrasound Biometric Measurements
Szymon Płotka, Tomasz Włodarczyk, Adam Klasa +3
In this paper, we propose an end-to-end multi-task neural network called FetalNet with an attention mechanism and stacked module for spatio-temporal fetal ultrasound scan video ana…
Convolutional Neural Networks in Orthodontics: a review
Szymon Płotka, Tomasz Włodarczyk, Ryszard Szczerba +5
Convolutional neural networks (CNNs) are used in many areas of computer vision, such as object tracking and recognition, security, military, and biomedical image analysis. This rev…
All-sky search in early O3 LIGO data for continuous gravitational-wave signals from unknown neutron stars in binary systems
The LIGO Scientific Collaboration, the Virgo Collaboration, R. Abbott +1369
Rapidly spinning neutron stars are promising sources of persistent, continuous gravitational waves. Detecting such a signal would allow probing of the physical properties of matter…
Spontaneous preterm birth prediction using convolutional neural networks
Tomasz Włodarczyk, Szymon Płotka, Przemysław Rokita +4
An estimated 15 million babies are born too early every year. Approximately 1 million children die each year due to complications of preterm birth (PTB). Many survivors face a life…
Estimation of preterm birth markers with U-Net segmentation network
Tomasz Włodarczyk, Szymon Płotka, Tomasz Trzciński +4
Preterm birth is the most common cause of neonatal death. Current diagnostic methods that assess the risk of preterm birth involve the collection of maternal characteristics and tr…
Siamese Generative Adversarial Privatizer for Biometric Data
Witold Oleszkiewicz, Peter Kairouz, Karol Piczak +2
State-of-the-art machine learning algorithms can be fooled by carefully crafted adversarial examples. As such, adversarial examples present a concrete problem in AI safety. In this…