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Table representation of search results timeline featuring number of search results per year.

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
2013 41
2014 38
2015 57
2016 54
2017 68
2018 89
2019 59
2020 70
2021 82
2022 74
2023 62
2024 16

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889 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 …
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 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 …
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 …
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 …
Retinal Vessel Segmentation Using Minimum Spanning Superpixel Tree Detector.
Sheng B, Li P, Mo S, Li H, Hou X, Wu Q, Qin J, Fang R, Feng DD. Sheng B, et al. IEEE Trans Cybern. 2019 Jul;49(7):2707-2719. doi: 10.1109/TCYB.2018.2833963. Epub 2018 May 22. IEEE Trans Cybern. 2019. PMID: 29994327
And the segmentation results are then refined by employing the efficient minimum spanning superpixel tree to detect and capture both global and local structure of the retinal images. Such an effective and structure-aware tree detector significantly imp …
And the segmentation results are then refined by employing the efficient minimum spanning superpixel tree to detect and …
Outlier detection using iterative adaptive mini-minimum spanning tree generation with applications on medical data.
Li J, Li J, Wang C, Verbeek FJ, Schultz T, Liu H. Li J, et al. Front Physiol. 2023 Oct 13;14:1233341. doi: 10.3389/fphys.2023.1233341. eCollection 2023. Front Physiol. 2023. PMID: 37900945 Free PMC article.
To address this problem to some extent, this article proposes an adaptive mini-minimum spanning tree-based outlier detection (MMOD) method, which utilizes a novel distance measure by scaling the Euclidean distance. ...
To address this problem to some extent, this article proposes an adaptive mini-minimum spanning tree-based outlier dete …
889 results