Zobrazeno 1 - 10
of 130
pro vyhledávání: '"Tie-Qiang Li"'
Autor:
Tomas Jonsson, Tie‐Qiang Li, Saly Abdelhadi, Louise Lönndahl, Elvar Theodorsson, Klas Nordlind
Publikováno v:
JEADV Clinical Practice, Vol 3, Iss 2, Pp 580-590 (2024)
Abstract Background Atopic dermatitis (AD) is a chronic inflammatory skin disorder characterized by eczematous lesions, dry skin and persistent itch. AD may worsen due to psychological stress. However, little is known about the neural correlates that
Externí odkaz:
https://doaj.org/article/890ce6b822d349cd934b924a02b9e2e3
Publikováno v:
Journal of Rehabilitation Medicine - Clinical Communications, Vol 7 (2024)
Objective: To explore functional connectivity after intensive attention training in the chronic phase after traumatic brain injury as clinical evidence indicates that intensive attention training improves attention dysfunction in persons with traumat
Externí odkaz:
https://doaj.org/article/52fa7c4131ff421aa7e66e89ef1e42b1
Publikováno v:
Sensors, Vol 23, Iss 18, p 7685 (2023)
Compressed sensing (CS) MRI has shown great potential in enhancing time efficiency. Deep learning techniques, specifically generative adversarial networks (GANs), have emerged as potent tools for speedy CS-MRI reconstruction. Yet, as the complexity o
Externí odkaz:
https://doaj.org/article/56f3c1a0c23b45288d400fe833bbd055
Publikováno v:
Tomography, Vol 7, Iss 4, Pp 675-687 (2021)
Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is an illness characterized by a diverse range of debilitating symptoms including autonomic, immunologic, and cognitive dysfunction. Although neurological and cognitive aberrations have been
Externí odkaz:
https://doaj.org/article/7d1150e2981a49d399d27ac3055298c0
Publikováno v:
Current Oncology, Vol 28, Iss 5, Pp 3585-3601 (2021)
Cervical cancer is a worldwide public health problem with a high rate of illness and mortality among women. In this study, we proposed a novel framework based on Faster RCNN-FPN architecture for the detection of abnormal cervical cells in cytology im
Externí odkaz:
https://doaj.org/article/617b838b147649f39142baa3f285e565
Autor:
Andrea Bieder, Elisabet Einarsdottir, Hans Matsson, Harriet E. Nilsson, Jesper Eisfeldt, Anca Dragomir, Martin Paucar, Tobias Granberg, Tie-Qiang Li, Anna Lindstrand, Juha Kere, Isabel Tapia-Páez
Publikováno v:
BMC Medical Genetics, Vol 21, Iss 1, Pp 1-9 (2020)
Abstract Background Developmental dyslexia (DD) is a neurodevelopmental learning disorder with high heritability. A number of candidate susceptibility genes have been identified, some of which are linked to the function of the cilium, an organelle re
Externí odkaz:
https://doaj.org/article/5544082e59974e9a9eb410d7ba08276a
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
The objective of this study is to introduce a new quantitative data-driven analysis (QDA) framework for the analysis of resting-state fMRI (R-fMRI) and use it to investigate the effect of adult age on resting-state functional connectivity (RFC). Whol
Externí odkaz:
https://doaj.org/article/b8a2f8377bee452eb0602c4b6b7c40f7
Publikováno v:
Data in Brief, Vol 38, Iss , Pp 107333- (2021)
To investigate the impact of adult age on the brain functional connectivity, whole-brain resting-state functional magnetic resonance imaging (R-fMRI) data were acquired on a 3T clinical MRI scanner in a cohort of 227, right-handed, native Swedish-spe
Externí odkaz:
https://doaj.org/article/98299ca4b0bd49a486922cdf52794113
Publikováno v:
PLoS ONE, Vol 15, Iss 5, p e0232127 (2020)
In this study, we proposed a novel convolutional neural network (CNN) architecture for classification of benign and malignant breast cancer (BC) in histological images. To improve the delivery and use of feature information, we chose the DenseNet as
Externí odkaz:
https://doaj.org/article/eb6a3c7ed7ff4cf2849330738d01822b
Publikováno v:
NeuroImage: Clinical, Vol 21, Iss , Pp - (2019)
Purpose: Characterize the static and dynamic functional connectivity for subjects with juvenile myoclonic epilepsy (JME) using a quantitative data-driven analysis approach. Methods: Whole-brain resting-state functional MRI data were acquired on a 3 T
Externí odkaz:
https://doaj.org/article/bf552800288c485597de128189b6059c