Home > Research > Publications & Outputs > Topological measures of connectomics for low gr...

Electronic data

  • paper

    Accepted author manuscript, 682 KB, PDF document

Links

Text available via DOI:

View graph of relations

Topological measures of connectomics for low grades Glioma

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published

Standard

Topological measures of connectomics for low grades Glioma. / Amoah, Benjamin; Crimi, Alessandro.

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Second International Workshop, BrainLes 2016, with the Challenges on BRATS, ISLES and mTOP 2016 Held in Conjunction with MICCAI 2016, Revised Selected Papers. ed. / Alessandro Crimi; Bjoern Menze; Oskar Maier; Mauricio Reyes; Stefan Winzeck; Heinz Handels. Vol. 10154 Cham : Springer-Verlag, 2017. p. 23-31 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10154 LNCS).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Amoah, B & Crimi, A 2017, Topological measures of connectomics for low grades Glioma. in A Crimi, B Menze, O Maier, M Reyes, S Winzeck & H Handels (eds), Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Second International Workshop, BrainLes 2016, with the Challenges on BRATS, ISLES and mTOP 2016 Held in Conjunction with MICCAI 2016, Revised Selected Papers. vol. 10154, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10154 LNCS, Springer-Verlag, Cham, pp. 23-31, 2nd International Workshop on Brain Lesion, BrainLes 2016, with the challenges on Brain Tumor Segmentation BRATS, Ischemic Stroke Lesion Image Segmentation ISLES, and the Mild Traumatic Brain Injury Outcome Prediction mTOP held in conjunction with the International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, Athens, Greece, 17/10/16. https://doi.org/10.1007/978-3-319-55524-9_3

APA

Amoah, B., & Crimi, A. (2017). Topological measures of connectomics for low grades Glioma. In A. Crimi, B. Menze, O. Maier, M. Reyes, S. Winzeck, & H. Handels (Eds.), Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Second International Workshop, BrainLes 2016, with the Challenges on BRATS, ISLES and mTOP 2016 Held in Conjunction with MICCAI 2016, Revised Selected Papers (Vol. 10154, pp. 23-31). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10154 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-319-55524-9_3

Vancouver

Amoah B, Crimi A. Topological measures of connectomics for low grades Glioma. In Crimi A, Menze B, Maier O, Reyes M, Winzeck S, Handels H, editors, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Second International Workshop, BrainLes 2016, with the Challenges on BRATS, ISLES and mTOP 2016 Held in Conjunction with MICCAI 2016, Revised Selected Papers. Vol. 10154. Cham: Springer-Verlag. 2017. p. 23-31. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-55524-9_3

Author

Amoah, Benjamin ; Crimi, Alessandro. / Topological measures of connectomics for low grades Glioma. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Second International Workshop, BrainLes 2016, with the Challenges on BRATS, ISLES and mTOP 2016 Held in Conjunction with MICCAI 2016, Revised Selected Papers. editor / Alessandro Crimi ; Bjoern Menze ; Oskar Maier ; Mauricio Reyes ; Stefan Winzeck ; Heinz Handels. Vol. 10154 Cham : Springer-Verlag, 2017. pp. 23-31 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Bibtex

@inproceedings{6dead5338892474297e0fff4932d9a88,
title = "Topological measures of connectomics for low grades Glioma",
abstract = "Recent advancements in neuroimaging have allowed the use of network analysis to study the brain in a system-based approach. In fact, several neurological disorders have been investigated from a network perspective. These include Alzheimer{\textquoteright}s disease, autism spectrum disorder, stroke, and traumatic brain injury. So far, few studies have been conducted on glioma by using connectome techniques. A connectomebased approach might be useful in quantifying the status of patients, in supporting surgical procedures, and ultimately shedding light on the underlying mechanisms and the recovery process. In this manuscript, by using graph theoretical methods of segregation and integration, topological structural connectivity is studied comparing patients with low grade glioma to healthy control. These measures suggest that it is possible to quantify the status of patients pre- and post-surgical intervention to evaluate the condition.",
author = "Benjamin Amoah and Alessandro Crimi",
year = "2017",
month = apr,
day = "12",
doi = "10.1007/978-3-319-55524-9_3",
language = "English",
isbn = "9783319555232",
volume = "10154",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "23--31",
editor = "Alessandro Crimi and Bjoern Menze and Oskar Maier and Mauricio Reyes and Stefan Winzeck and Heinz Handels",
booktitle = "Brainlesion",
note = "2nd International Workshop on Brain Lesion, BrainLes 2016, with the challenges on Brain Tumor Segmentation BRATS, Ischemic Stroke Lesion Image Segmentation ISLES, and the Mild Traumatic Brain Injury Outcome Prediction mTOP held in conjunction with the International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016 ; Conference date: 17-10-2016 Through 17-10-2016",

}

RIS

TY - GEN

T1 - Topological measures of connectomics for low grades Glioma

AU - Amoah, Benjamin

AU - Crimi, Alessandro

PY - 2017/4/12

Y1 - 2017/4/12

N2 - Recent advancements in neuroimaging have allowed the use of network analysis to study the brain in a system-based approach. In fact, several neurological disorders have been investigated from a network perspective. These include Alzheimer’s disease, autism spectrum disorder, stroke, and traumatic brain injury. So far, few studies have been conducted on glioma by using connectome techniques. A connectomebased approach might be useful in quantifying the status of patients, in supporting surgical procedures, and ultimately shedding light on the underlying mechanisms and the recovery process. In this manuscript, by using graph theoretical methods of segregation and integration, topological structural connectivity is studied comparing patients with low grade glioma to healthy control. These measures suggest that it is possible to quantify the status of patients pre- and post-surgical intervention to evaluate the condition.

AB - Recent advancements in neuroimaging have allowed the use of network analysis to study the brain in a system-based approach. In fact, several neurological disorders have been investigated from a network perspective. These include Alzheimer’s disease, autism spectrum disorder, stroke, and traumatic brain injury. So far, few studies have been conducted on glioma by using connectome techniques. A connectomebased approach might be useful in quantifying the status of patients, in supporting surgical procedures, and ultimately shedding light on the underlying mechanisms and the recovery process. In this manuscript, by using graph theoretical methods of segregation and integration, topological structural connectivity is studied comparing patients with low grade glioma to healthy control. These measures suggest that it is possible to quantify the status of patients pre- and post-surgical intervention to evaluate the condition.

U2 - 10.1007/978-3-319-55524-9_3

DO - 10.1007/978-3-319-55524-9_3

M3 - Conference contribution/Paper

AN - SCOPUS:85018699832

SN - 9783319555232

VL - 10154

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 23

EP - 31

BT - Brainlesion

A2 - Crimi, Alessandro

A2 - Menze, Bjoern

A2 - Maier, Oskar

A2 - Reyes, Mauricio

A2 - Winzeck, Stefan

A2 - Handels, Heinz

PB - Springer-Verlag

CY - Cham

T2 - 2nd International Workshop on Brain Lesion, BrainLes 2016, with the challenges on Brain Tumor Segmentation BRATS, Ischemic Stroke Lesion Image Segmentation ISLES, and the Mild Traumatic Brain Injury Outcome Prediction mTOP held in conjunction with the International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016

Y2 - 17 October 2016 through 17 October 2016

ER -