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The progression of X-ray technology introduces diverse image styles that need to be adapted to the preferences of radiologists. To support this task, we introduce a novel deep learning-based metric that quantifies style differences of…

Computer Vision and Pattern Recognition · Computer Science 2024-05-24 Dominik Eckert , Christopher Syben , Christian Hümmer , Ludwig Ritschl , Steffen Kappler , Sebastian Stober

Cardiovascular disease remains a predominant global health concern, responsible for a significant portion of mortality worldwide. Accurate segmentation of cardiac medical imaging data is pivotal in mitigating fatality rates associated with…

Computer Vision and Pattern Recognition · Computer Science 2024-10-24 Quoc-Bao Nguyen-Le , Tuan-Hy Le , Anh-Triet Do , Quoc-Huy Trinh

Heart murmurs are a common manifestation of cardiovascular diseases and can provide crucial clues to early cardiac abnormalities. While most current research methods primarily focus on the accuracy of models, they often overlook other…

Sound · Computer Science 2024-05-08 Zixing Zhang , Tao Pang , Jing Han , Björn W. Schuller

Acoustic signals are crucial for health monitoring, particularly heart sounds which provide essential data like heart rate and detect cardiac anomalies such as murmurs. This study utilizes a publicly available phonocardiogram (PCG) dataset…

Sound · Computer Science 2024-07-29 Jingping Nie , Ran Liu , Behrooz Mahasseni , Erdrin Azemi , Vikramjit Mitra

We develop X-ray Multi-modal Intrinsic-Speckle-Tracking (MIST), a form of X-ray speckle-tracking that is able to recover both the position-dependent phase shift and the position-dependent small-angle X-ray scattering (SAXS) signal of a…

Image and Video Processing · Electrical Eng. & Systems 2021-11-16 Konstantin M. Pavlov , David M. Paganin , Heyang Li , Sebastien Berujon , Hélène Rougé-Labriet , Emmanuel Brun

Recent advancements in particle physics demand pixel detectors that can withstand increased luminosity in the future collider experiments. In response, MALTA, a novel monolithic active pixel detector, has been developed with a cutting-edge…

Instrumentation and Detectors · Physics 2025-02-05 Anusree Vijay , Prafulla Kumar Behera , Theertha Chembakan , Ganapati Dash

The Gamma-Ray Energy Tracking Array (GRETA) is a next-generation gamma-ray spectrometer designed to push the frontiers of nuclear structure and astrophysics experiment. Its high sensitivity is enabled by high-precision localization of…

Instrumentation and Detectors · Physics 2025-12-16 Arin Manohar , Mario Cromaz , Christopher Campbell , Heather Crawford , Marco Salathe

Density Functional Theory (DFT) is the de facto workhorse for large-scale electronic structure calculations in chemistry and materials science. While plane-wave DFT implementations remain the most widely used, real-space DFT provides…

MX is a portable beamline control system that has been described at previous NOBUGS meetings. This talk will briefly review MX and then discuss important changes and improvements made since the last meeting in 2000. For materials science,…

Materials Science · Physics 2007-05-23 William M. Lavender

For x-ray spot sizes of a few tens of microns or smaller, a mm-sized flat analyzer crystal placed ~ 1 cm from the sample will exhibit high energy resolution while subtending a collection solid angle comparable to that of a typical…

Materials Science · Physics 2009-11-13 B. Dickinson , G. T. Seidler , Z. W. Webb , J. A. Bradley , K. P. Nagle , S. M. Heald , R. A. Gordon , I. M. Chou

Deep learning methods have reached state-of-the-art performance in cardiac image segmentation. Currently, the main bottleneck towards their effective translation into clinics requires assuring continuous high model performance and…

Image and Video Processing · Electrical Eng. & Systems 2021-06-15 Francesco Galati , Maria A. Zuluaga

Graph mining applications analyze the structural properties of large graphs, and they do so by finding subgraph isomorphisms, which makes them computationally intensive. Existing graph mining techniques including both custom graph mining…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-12-09 Kasra Jamshidi , Keval Vora

Medical image segmentation is pivotal in healthcare, enhancing diagnostic accuracy, informing treatment strategies, and tracking disease progression. This process allows clinicians to extract critical information from visual data, enabling…

Image and Video Processing · Electrical Eng. & Systems 2024-10-31 Ovais Iqbal Shah , Danish Raza Rizvi , Aqib Nazir Mir

I present the Automated Line Fitting Algorithm, ALFA, a new code which can fit emission line spectra of arbitrary wavelength coverage and resolution, fully automatically. In contrast to traditional emission line fitting methods which…

Solar and Stellar Astrophysics · Physics 2016-01-20 Roger Wesson

Objective- Heart rate monitoring using wrist type Photoplethysmographic (PPG) signals is getting popularity because of construction simplicity and low cost of wearable devices. The task becomes very difficult due to the presence of various…

High precision atomic data is indispensable for experiments involving studies of fundamental interactions, astrophysics, atomic clocks, plasma science, and others. We develop new parallel atomic structure codes and explore the difficulties…

Atomic Physics · Physics 2021-03-11 C. Cheung , M. S. Safronova , S. G. Porsev

xBIT is a tool for performing parameter scans in beyond the Standard Model theories. It's written in Python and fully open source. The main purpose of xBIT is to provide an easy to use tool to help phenomenologists with their daily task:…

High Energy Physics - Phenomenology · Physics 2019-06-11 Florian Staub

Imaginary-time path integral (PI) is a rigorous tool to compute static properties at finite temperatures. However, the stiff PI internal modes poses a sampling challenge. This is commonly tackled using staging coordinates, in which the free…

Statistical Mechanics · Physics 2024-08-23 Sabry G. Moustafa , Andrew J. Schultz

Transient X-ray absorption techniques can measure ultrafast dynamics of the elemental edges in a material or multiple layer junction, giving them immense potential for deconvoluting concurrent processes. However, the interpretation of the…

Materials Science · Physics 2021-06-10 Hanzhe Liu , Isabel M. Klein , Jonathan M. Michelsen , Scott K. Cushing

The spectrum of laser-plasma-generated X-rays is very important as it can characterize electron dynamics and also be useful for applications, and nowadays with the forthcoming high-repetition-rate laser-plasma experiments, there is a…

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