Application of the U-Net Deep Learning Model for Segmenting Single-Photon Emission Computed Tomography Myocardial Perfusion Images by Ahmad Alenezi, Ali Mayya, Mahdi Alajmi, Wegdan Almutairi, Dana Alaradah, Hamad Alhamad

“…Background: Myocardial perfusion imaging (MPI) is a type of single-photon emission computed tomography (SPECT) used to evaluate patients with suspected or confirmed coronary artery disease (CAD). …”
Get full text

Prevalence of Detecting Unknown Cerebral Metastases in Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography and its Potential Clinical Impact by Boom Kung, T Auyong, C Tong

“…A retrospective review of 1876 patients who underwent whole body PET/CT examination in our clinical PET center for oncological evaluation from January 2009 to September 2009 was performed. …”
Get full text

Perfusion Parameter Map Generation from 3 Phases of Computed Tomography Perfusion in Stroke Using Generative Adversarial Networks by Cuidie Zeng, Xiaoling Wu, Fusheng Ouyang, Baoliang Guo, Xiao Zhang, Jianghua Ma, Dong Zeng, Bin Zhang

“…Computed tomography perfusion (CTP) plays a crucial role in guiding reperfusion therapy and patient selection for acute ischemic stroke (AIS) through perfusion parameter maps of the brain; however, its widespread use is limited by the complexity of acquisition protocols and high radiation dose. …”
Get full text

Novel Solid Forms of Cardarine/GW501516 and Their Characterization by X-Ray Diffraction, Thermal, Computational, FTIR, and UV Analysis by Alexandru Turza, Maria Bosca, Marieta Muresan-Pop, Liviu Mare, Gheorghe Borodi, Violeta Popescu

Get full text

Computed Tomography Coronary Angiography Is Feasible and Reliable for Proximal Coronary Segment Interpretation in Patients with Elevated Body Mass Index by Anthony Salib, Michael Hay, Rahul Muthalaly, Timothy Abrahams, Nushrat Sultana, Raj Kanna, Ravi Rao, Akira Abe, John Bastwrous, Emma Aldous, Huong Tu, Sarang Paleri, Sheran Vasanthakumar, Alisha Patel, Rhea Nandurkar, Adam Brown, Andrew Lin, Nitesh Nerlekar

“…Computed tomography coronary angiography (CTCA) is under-utilised in detecting coronary artery disease (CAD) in obese patients due to concerns about non-evaluable testing. …”
Get full text

Clinical validation of using a commercial synthetic-computed tomography solution for brain MRI-only radiotherapy treatment planning by Lamyaa Aljaafari, Richard Speight, David L. Buckley, David Bird, Bashar Al-Qaisieh

Get full text

Benefits, burden, and harms of computer aided polyp detection with artificial intelligence in colorectal cancer screening: microsimulation modelling study by Cesare Hassan, Alessandro Repici, Farid Foroutan, Lise M Helsingen, Michael Bretthauer, Mette Kalager, Marco Spadaccini, Yuichi Mori, Magnus Løberg, Per Olav Vandvik, Loredana Correale, Natalie Halvorsen, Nastazja Pilonis, Shanaz Sultan

“…Objective To estimate the benefits, burden, and harms of implementing computer aided detection (CADe) of polyps in colonoscopy of population based screening programmes for colorectal cancer.Design Microsimulation modelling study.Setting Cost effectiveness working package in the OperA (optimising colorectal cancer prevention through personalised treatment with artificial intelligence) project. …”
Get full text

Diagnostic Accuracy of Computational Fluid Dynamics‐Based Fractional Flow Reserve Derived From Coronary Angiography: The ACCURATE Study by Jun Jiang, Yumeng Hu, Changling Li, Liang Dong, Jian Xu, Lijiang Tang, Wenbing Jiang, Changqing Du, Xuejun Jiang, Yongnan Lyu, Xiaochang Leng, Chengguang Li, Bon‐Kwon Koo, Jianping Xiang, Junbo Ge, Jian’an Wang

Get full text

Constant-delay enumeration for SLP-compressed documents by Martín Muñoz, Cristian Riveros

Get full text

Multi-GPU Acceleration for Finite Element Analysis in Structural Mechanics by David Herrero-Pérez, Humberto Martínez-Barberá

“…This work evaluates the computing performance of finite element analysis in structural mechanics using modern multi-GPU systems. …”
Get full text

Transient energy storage systems for fast frequency response: Power‐train considerations by Yiheng Hu, Nigel Schofield, Nan Zhao

Get full text

User Authentication Method for Smart Rings Using Active Acoustic Sensing by Shunsuke Iwakiri, Kazuya Murao

Get full text

Protocol-Agnostic and Packet-Based Intrusion Detection Using a Multi-Layer Deep-Learning Architecture at the Network Edge by Rodolphe Picot, Felipe Gohring de Magalhaes, Ahmad Shahnejat Bushehri, Maroua Ben Atti, Gabriela Nicolescu, Alejandro Quintero

“…Experimental results demonstrate that our approach outperforms existing methods in terms of accuracy, F1-score, recall, and precision when evaluated on a real-world dataset. This work highlights the potential of deep learning in enhancing network security while respecting edge computing constraints.…”
Get full text

Range and angle estimation with spiking neural resonators for FMCW radar by Nico Reeb, Javier Lopez-Randulfe, Robin Dietrich, Alois C Knoll

“…Automotive radar systems face the challenge of managing high sampling rates and large data bandwidth while complying with stringent real-time and energy efficiency requirements. Neuromorphic computing offers promising solutions because of its inherent energy efficiency and parallel processing capacity. …”
Get full text

Shower–IoT: An Internet of Things System for Monitoring Electric Showers by Helder Holanda Prezotto, Natássya Barlate Floro da Silva, Lucas Dias Hiera Sampaio, Rogério Santos Pozza

“…To implement the software infrastructure, we used the services present in cloud computing, such as a broker, processing, and storage, in which the information about the electric shower was made available through an Android application. …”
Get full text

Data center virtualization and its economic implications for the companies by Cristian STEFAN, Mariana JURIAN, Logica BANICA

“…In the current situation of the economic crisis, when companies target budgetcuttings in a context of an explosive data growth, the IT community must evaluate potentialtechnology developments not only on their technical advantages, but on their economiceffects as well. …”
Get full text

Application of the cyberinfrastructure production function model to R1 institutions by Preston M. Smith, Jill Gemmill, David Y. Hancock, Brian W. O'Shea, Brian W. O'Shea, Brian W. O'Shea, Brian W. O'Shea, Winona Snapp-Childs, Winona Snapp-Childs, James Wilgenbusch

“…This study applies the concepts of the production function model from economics with two thrusts: (1) to evaluate if previous research on building a model for quantifying the value of investment in research computing is generalizable to a wider set of universities, and (2) to define a model with which to capacity plan HPC investment, based on institutional production—inverting the production function. …”
Get full text

CWL-PLAS: Task Workflows Assisted by Data Science Cloud Platforms by Andrea Detti, Ludovico Funari, Luca Petrucci, Michele Dorazio, Arianna Mencattini, Eugenio Martinelli

“…We used this workflow manager to evaluate the performance of CWL-PLAS in a couple of machine learning workflows.…”
Get full text

The Impact of an Automation System Built with Jenkins on the Efficiency of Container-Based System Deployment by Giwoo Hyun, Jiwon Oak, Donghoon Kim, Kunwoo Kim

Get full text

Numerical Investigation on the Cavitating Flow and the Cavitation-induced Noise in the Pump-jet Propeller by P. Zhang, J. Yuan, Y. Fu, X. Hou, J. Hao

Get full text