Results 101 to 110 of about 6,560,420 (350)

REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing

PLoS ONE, 2011
Resting-state fMRI (RS-fMRI) has been drawing more and more attention in recent years. However, a publicly available, systematically integrated and easy-to-use tool for RS-fMRI data processing is still lacking.
Xiaowei Song, Zhang-Ye Dong, Xiang-Yu Long, Su-Fang Li, X. Zuo, Chao-Zhe Zhu, Yong He, Chaogan Yan, Y. Zang   +8 more
semanticscholar   +1 more source

Value of black blood T2*cardiovascular magnetic resonance. [PDF]

, 2011
Purpose To assess whether black blood T2* cardiovascular magnetic resonance is superior to conventional white blood imaging of cardiac iron in patients with thalassaemia major (TM).
Gillian C Smith, Alam, MH, Mohammed H Alam, Firmin, DN, Carpenter John Paul, Alam Mohammed H, He, T, Smith Gillian C, Taigang He, Pennell, DJ, Firmin David N, Smith, GC, Carpenter, JP, Pennell Dudley J, Dudley J Pennell, David N Firmin, John Paul Carpenter, He Taigang   +17 more
core   +1 more source

Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA

FEBS Open Bio, EarlyView.
Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley   +1 more source

Evaluation of preoperative magnetic resonance imaging features and diagnostic effectiveness of grades II and III intracranial solitary fibroma

European Journal of Medical Research
Objectives To explore the value of preoperative magnetic resonance imaging (MRI) characterization of intracranial solitary fibrous tumors (ISFT) and to evaluate the effectiveness of preoperative MRI features in predicting pathological grading.
Yuncai Ran, Xiao Wang, Yong Zhang, Rui Chen, Chenchen Liu, Yunwei Ran, Weijian Wang, Xiaoyue Ma, Mengzhu Wang, Jingliang Cheng   +9 more
doaj   +1 more source

Update of the Standard Operating Procedure on the Use of Multiparametric Magnetic Resonance Imaging for the Diagnosis, Staging and Management of Prostate Cancer

Journal of Urology, 2019
Purpose: We update the prior standard operating procedure for magnetic resonance imaging of the prostate, and summarize the available data about the technique and clinical use for the diagnosis and management of prostate cancer.
M. Bjurlin, P. Carroll, S. Eggener, P. Fulgham, D. Margolis, P. Pinto, A. Rosenkrantz, J. Rubenstein, D. Rukstalis, S. Taneja, B. Turkbey   +10 more
semanticscholar   +1 more source

Magnetic resonance of membranes [PDF]

Biochemical Journal, 1991
Knowles, P., Marsh, D.
openaire   +3 more sources

Adenosine triphosphate as a modulator of protein interactions and stability

FEBS Open Bio, EarlyView.
ATP is best known as the cell's energy currency, but it also shapes how proteins fold, interact, aggregate and form biomolecular condensates. This review explains the emerging physical principles behind these effects, including weak binding to charged protein regions, magnesium‐dependent behaviour and concentration‐dependent control of protein ...
Shuyuan Tan, Robin Curtis
wiley   +1 more source

Revisiting how we perform late gadolinium enhancement CMR: insights gleaned over 25 years of clinical practice

Journal of Cardiovascular Magnetic Resonance, 2023
Elizabeth R. Jenista, David C. Wendell, Clerio F. Azevedo, Igor Klem, Robert M. Judd, Raymond J. Kim, Han W. Kim   +6 more
doaj   +1 more source

Altered local intrinsic neural activity and molecular architecture in internet use disorders

Brain Research Bulletin
Background: Internet gaming disorder (IGD) is mainly characterized by its core dysfunction in higher-order brain cortices involved in inhibitory control, whose neurobiological basis remains unclear.
Longyao Ma, Qiuying Tao, Jinghan Dang, Jieping Sun, Xiaoyu Niu, Mengzhe Zhang, Yimeng Kang, Weijian Wang, Jingliang Cheng, Shaoqiang Han, Yong Zhang   +10 more
doaj   +1 more source

Development of a deep learning algorithm for detection of liver cancers on Magnetic Resonance Imaging

, 2020
Early detection of liver cancer is crucial for improving patient management outcome. However, liver lesions can be differencaited to be identified. In recent years, the fully convolution neural network (FCNN) has shown to be able to achieve commensurate ...
Chiu, WHK, Cao, P, Zhang, S, Mak, SH, Efstratios, T   +4 more
core