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Year Number of Results
1971 1
1977 1
1980 1
1982 1
1985 2
1988 1
1989 3
1990 2
1991 1
1992 6
1993 6
1994 7
1995 1
1996 8
1997 7
1998 2
1999 4
2000 4
2001 6
2002 6
2003 12
2004 17
2005 12
2006 12
2007 10
2008 26
2009 24
2010 31
2011 36
2012 28
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2014 38
2015 57
2016 54
2017 68
2018 89
2019 59
2020 70
2021 82
2022 72
2023 40

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852 results

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Page 1
Minimum spanning tree based graph neural network for emotion classification using EEG.
Liu H, Zhang J, Liu Q, Cao J. Liu H, et al. Neural Netw. 2022 Jan;145:308-318. doi: 10.1016/j.neunet.2021.10.023. Epub 2021 Nov 3. Neural Netw. 2022. PMID: 34794003
In this paper, we propose a novel method to capture the distinct minimum spanning tree (MST) topology underpinning the different emotions. ...
In this paper, we propose a novel method to capture the distinct minimum spanning tree (MST) topology underpinning the …
Minimum spanning tree analysis of the human connectome.
van Dellen E, Sommer IE, Bohlken MM, Tewarie P, Draaisma L, Zalesky A, Di Biase M, Brown JA, Douw L, Otte WM, Mandl RCW, Stam CJ. van Dellen E, et al. Hum Brain Mapp. 2018 Jun;39(6):2455-2471. doi: 10.1002/hbm.24014. Epub 2018 Feb 21. Hum Brain Mapp. 2018. PMID: 29468769 Free PMC article.
One of the challenges of brain network analysis is to directly compare network organization between subjects, irrespective of the number or strength of connections. In this study, we used minimum spanning tree (MST; a unique, acyclic subnetwork with a fixed n …
One of the challenges of brain network analysis is to directly compare network organization between subjects, irrespective of the number or …
A Novel Minimum Spanning Tree Clustering Algorithm Based on Density Core.
Gao Q, Gao QQ, Xiong ZY, Zhang YF, Zhang M. Gao Q, et al. Comput Intell Neurosci. 2022 Oct 5;2022:8496265. doi: 10.1155/2022/8496265. eCollection 2022. Comput Intell Neurosci. 2022. PMID: 36248922 Free PMC article.
Firstly, we employ the reverse nearest neighbors to extract core objects. Secondly, we use the minimum spanning tree algorithm to cluster the core objects. Finally, the remaining objects are assigned to the cluster to which their nearest core object belongs. …
Firstly, we employ the reverse nearest neighbors to extract core objects. Secondly, we use the minimum spanning tree al …
Minimum spanning tree analysis of brain networks: A systematic review of network size effects, sensitivity for neuropsychiatric pathology, and disorder specificity.
Blomsma N, de Rooy B, Gerritse F, van der Spek R, Tewarie P, Hillebrand A, Otte WM, Stam CJ, van Dellen E. Blomsma N, et al. Netw Neurosci. 2022 Jun 1;6(2):301-319. doi: 10.1162/netn_a_00245. eCollection 2022 Jun. Netw Neurosci. 2022. PMID: 35733422 Free PMC article.
Brain network characteristics' potential to serve as a neurological and psychiatric pathology biomarker has been hampered by the so-called thresholding problem. The minimum spanning tree (MST) is increasingly applied to overcome this problem. ...
Brain network characteristics' potential to serve as a neurological and psychiatric pathology biomarker has been hampered by the so-called t …
EEG based emotion recognition using minimum spanning tree.
Farashi S, Khosrowabadi R. Farashi S, et al. Phys Eng Sci Med. 2020 Sep;43(3):985-996. doi: 10.1007/s13246-020-00895-y. Epub 2020 Jul 6. Phys Eng Sci Med. 2020. PMID: 32632572
This psychological state arises spontaneously and goes with physiological changes that can be recognized by computational methods. In this study, changes in minimum spanning tree (MST) structure of brain functional connectome were used for emotion classificat …
This psychological state arises spontaneously and goes with physiological changes that can be recognized by computational methods. In this s …
GLaMST: grow lineages along minimum spanning tree for b cell receptor sequencing data.
Yang X, Tipton CM, Woodruff MC, Zhou E, Lee FE, Sanz I, Qiu P. Yang X, et al. BMC Genomics. 2020 Sep 9;21(Suppl 9):583. doi: 10.1186/s12864-020-06936-w. BMC Genomics. 2020. PMID: 32900378 Free PMC article.
In BCR sequencing data, the observed data only contains a subset of BCR sequences in this microevolution process. Therefore, reconstructing the lineage tree from experimental data requires algorithms to build the tree based on partially observed tree nodes. R …
In BCR sequencing data, the observed data only contains a subset of BCR sequences in this microevolution process. Therefore, reconstructing …
A Characterization of Minimum Spanning Tree-Like Metric Spaces.
Hayamizu M, Endo H, Fukumizu K. Hayamizu M, et al. IEEE/ACM Trans Comput Biol Bioinform. 2017 Mar-Apr;14(2):468-471. doi: 10.1109/TCBB.2016.2550431. Epub 2016 Apr 5. IEEE/ACM Trans Comput Biol Bioinform. 2017. PMID: 27076458
Recent years have witnessed a surge of biological interest in the minimum spanning tree (MST) problem for its relevance to automatic model construction using the distances between data points. ...Motivated by this, we provide a necessary and sufficient condit …
Recent years have witnessed a surge of biological interest in the minimum spanning tree (MST) problem for its relevance …
A Clustering-Enhanced Memetic Algorithm for the Quadratic Minimum Spanning Tree Problem.
Zhang S, Mao J, Wang N, Li D, Ju C. Zhang S, et al. Entropy (Basel). 2022 Dec 31;25(1):87. doi: 10.3390/e25010087. Entropy (Basel). 2022. PMID: 36673228 Free PMC article.
The quadratic minimum spanning tree problem (QMSTP) is a spanning tree optimization problem that considers the interaction cost between pairs of edges arising from a number of practical scenarios. ...
The quadratic minimum spanning tree problem (QMSTP) is a spanning tree optimization problem that consider …
Real-Time Hierarchical Supervoxel Segmentation via a Minimum Spanning Tree.
Wang B, Chen Y, Liu W, Qin J, Du Y, Han G, He S. Wang B, et al. IEEE Trans Image Process. 2020;29:9665-9677. doi: 10.1109/TIP.2020.3030502. Epub 2020 Oct 22. IEEE Trans Image Process. 2020. PMID: 33074808
In this paper, we propose a real-time hierarchical supervoxel segmentation algorithm based on the minimum spanning tree (MST), which achieves state-of-the-art accuracy meanwhile at least 11 faster than existing methods. ...
In this paper, we propose a real-time hierarchical supervoxel segmentation algorithm based on the minimum spanning tree …
The minimum spanning tree: an unbiased method for brain network analysis.
Tewarie P, van Dellen E, Hillebrand A, Stam CJ. Tewarie P, et al. Neuroimage. 2015 Jan 1;104:177-88. doi: 10.1016/j.neuroimage.2014.10.015. Epub 2014 Oct 16. Neuroimage. 2015. PMID: 25451472
However, studies on brain networks have reported contradictory findings, and do not easily converge to a clear concept of the structural and functional network organization of the brain. It has recently been suggested that the minimum spanning tree (MST) may …
However, studies on brain networks have reported contradictory findings, and do not easily converge to a clear concept of the structural and …
852 results