Methodological consensus on clinical proton MRS of the brain: Review and recommendations

M Wilson, O Andronesi, PB Barker… - Magnetic resonance …, 2019 - Wiley Online Library
Proton MRS (1H MRS) provides noninvasive, quantitative metabolite profiles of tissue and
has been shown to aid the clinical management of several brain diseases. Although most …

A survey and analysis of intrusion detection models based on cse-cic-ids2018 big data

JL Leevy, TM Khoshgoftaar - Journal of Big Data, 2020 - Springer
The exponential growth in computer networks and network applications worldwide has been
matched by a surge in cyberattacks. For this reason, datasets such as CSE-CIC-IDS2018 …

BioSeq-BLM: a platform for analyzing DNA, RNA and protein sequences based on biological language models

HL Li, YH Pang, B Liu - Nucleic acids research, 2021 - academic.oup.com
In order to uncover the meanings of 'book of life', 155 different biological language models
(BLMs) for DNA, RNA and protein sequence analysis are discussed in this study, which are …

Recommended implementation of quantitative susceptibility map** for clinical research in the brain: a consensus of the ISMRM electro‐magnetic tissue properties …

QSM Consensus Organization … - Magnetic resonance …, 2024 - Wiley Online Library
This article provides recommendations for implementing QSM for clinical brain research. It is
a consensus of the International Society of Magnetic Resonance in Medicine, Electro …

Quantitative susceptibility map** (QSM): decoding MRI data for a tissue magnetic biomarker

Y Wang, T Liu - Magnetic resonance in medicine, 2015 - Wiley Online Library
In MRI, the main magnetic field polarizes the electron cloud of a molecule, generating a
chemical shift for observer protons within the molecule and a magnetic susceptibility …

Explore a deep learning multi-output neural network for regional multi-step-ahead air quality forecasts

Y Zhou, FJ Chang, LC Chang, IF Kao… - Journal of cleaner …, 2019 - Elsevier
Timely regional air quality forecasting in a city is crucial and beneficial for supporting
environmental management decisions as well as averting serious accidents caused by air …

Overview of quantitative susceptibility map**

A Deistung, F Schweser… - NMR in …, 2017 - Wiley Online Library
Magnetic susceptibility describes the magnetizability of a material to an applied magnetic
field and represents an important parameter in the field of MRI. With the recently introduced …

Quantitative susceptibility map** using deep neural network: QSMnet

J Yoon, E Gong, I Chatnuntawech, B Bilgic, J Lee… - Neuroimage, 2018 - Elsevier
Deep neural networks have demonstrated promising potential for the field of medical image
reconstruction, successfully generating high quality images for CT, PET and MRI. In this …

Quantitative susceptibility map**: report from the 2016 reconstruction challenge

C Langkammer, F Schweser, K Shmueli… - Magnetic resonance …, 2018 - Wiley Online Library
Purpose The aim of the 2016 quantitative susceptibility map** (QSM) reconstruction
challenge was to test the ability of various QSM algorithms to recover the underlying …

Wave‐CAIPI for highly accelerated 3D imaging

B Bilgic, BA Gagoski, SF Cauley, AP Fan… - Magnetic resonance …, 2015 - Wiley Online Library
Purpose To introduce the wave‐CAIPI (controlled aliasing in parallel imaging) acquisition
and reconstruction technique for highly accelerated 3D imaging with negligible g‐factor and …