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/ISSN › Conference contribution/Paper › peer-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)). Epub 2017 Apr 12. doi: 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 -
