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Yu-Ping Wang
Tulane University
Pattern recognitionComputer visionMathematicsComputer scienceBioinformatics
219Publications
22H-index
1,845Citations
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Publications 247
Newest
#1Yun Gong (Tulane University)
#2Junxiao Yang (CSU: Central South University)H-Index: 1
Last. Jonathan Greenbaum (Tulane University)H-Index: 5
view all 22 authors...
Osteoblasts are multifunctional bone cells, which play essential roles in bone formation, angiogenesis regulation, as well as maintenance of hematopoiesis. Although both in vivo and in vitro studies on mice have identified several potential osteoblast subtypes based on their different transition stages or biological responses to external stimuli, the categorization of primary osteoblast subtypes in vivo in humans has not yet been achieved. Here, we used single-cell RNA sequencing (scRNA-seq) to ...
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#1Li Xiao (Tulane University)H-Index: 1
#2Junqi Wang (Tulane University)H-Index: 1
Last. Yu-Ping Wang (Tulane University)H-Index: 22
view all 9 authors...
Recently, a hypergraph constructed from functional magnetic resonance imaging (fMRI) was utilized to explore brain functional connectivity networks (FCNs) for the classification of neurodegenerative diseases. Each edge of a hypergraph (called hyperedge) can connect any number of brain regions-of-interest (ROIs) instead of only two ROIs, and thus characterizes highorder relations among multiple ROIs that cannot be uncovered by a simple graph in the traditional graph based FCN construction methods...
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#1ashad AlamH-Index: 1
#2Chuan QiuH-Index: 8
Last. Hong-Wen DengH-Index: 3
view all 5 authors...
In recent years, a comprehensive study of multi-view datasets (e.g., multi-omics and imaging scans) has been a focus and forefront in biomedical research. State-of-the-art biomedical technologies are enabling us to collect multi-view biomedical datasets for the study of complex diseases. While all the views of data tend to explore complementary information of a disease, multi-view data analysis with complex interactions is challenging for a deeper and holistic understanding of biological systems...
Human brain development is a complex and dynamic process caused by several factors such as genetics, sex hormones, and environmental changes. A number of recent studies on brain development have examined functional connectivity (FC) defined by the temporal correlation between time series of different brain regions. We propose to add the directional flow of information during brain maturation. To do so, we extract effective connectivity (EC) through Granger causality (GC) for two different groups...
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#1Brittany Taylor (UNMC: University of Nebraska Medical Center)
Last. Tony W. WilsonH-Index: 22
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Abstract Fluid intelligence, the ability to problem-solve in novel situations, is linked to higher-order cognitive abilities, and to academic achievement in youth. Previous research has demonstrated that fluid intelligence and the underlying neural circuitry continues to develop throughout adolescence. Neuroimaging studies have predominantly focused on identifying the spatial distribution of brain regions associated with fluid intelligence, with only a few studies examining the temporally-sensit...
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#1Yuntong Bai (Tulane University)
#2Pascal Zille (Tulane University)H-Index: 3
Last. Yu-Ping Wang (Tulane University)H-Index: 22
view all 5 authors...
Objective: Integration of multiple datasets is a hot topic in many fields. When studying complex mental disorders, great effort has been dedicated to fusing genetic and brain imaging data. However, an increasing number of studies have pointed out the importance of epigenetic factors in the cause of psychiatric diseases. In this study, we endeavor to fill the gap by combining epigenetics (e.g., DNA methylation) with imaging data (e.g., fMRI) to identify biomarkers for schizophrenia (SZ). Methods:...
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#1Kuan-Song Wang (CSU: Central South University)
#2Gang Yu (CSU: Central South University)
Last. Shitong Su (CSU: Central South University)
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Background: Accurate and robust pathological image analysis for colorectal cancer (CRC) diagnosis is time-consuming and knowledge-intensive, but is essential for CRC treatment. The current heavy workload of pathologists in clinics/hospitals may easily lead to unconscious misdiagnosis of CRC based on their daily image analyses. Methods: Based on a state-of-the-art transfer-learned deep convolutional neural network in artificial intelligence (AI), we proposed a novel patch aggregation strategy for...
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#1Biao CaiH-Index: 1
Last. Yu-Ping WangH-Index: 22
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#1Junqi Wang (Tulane University)H-Index: 1
#2Li Xiao (Tulane University)H-Index: 1
Last. Yu-Ping Wang (Tulane University)H-Index: 22
view all 6 authors...
Abstract Background: Longitudinal neuroimaging studies have demonstrated that adolescence is a crucial developmental period of continued brain growth and change. Motivated by both achievements in graph signal processing and recent evidence that some brain areas act as hubs connecting functionally specialized systems, we propose an approach to detect these regions from a spectral analysis perspective. In particular, as the human brain undergoes substantial development throughout adolescence, we e...
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