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Bio Imaging and Signal Processing

EPILEPTOGENIC BRAIN CONNECTIVITY PATTERNS USING SCALP EEG

Panuwat Janwattanapong

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Authors:
Panuwat Janwattanapong
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6 December 2016 - 10:02am
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[1] , "EPILEPTOGENIC BRAIN CONNECTIVITY PATTERNS USING SCALP EEG", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1358. Accessed: Oct. 20, 2019.
@article{1358-16,
url = {http://sigport.org/1358},
author = { },
publisher = {IEEE SigPort},
title = {EPILEPTOGENIC BRAIN CONNECTIVITY PATTERNS USING SCALP EEG},
year = {2016} }
TY - EJOUR
T1 - EPILEPTOGENIC BRAIN CONNECTIVITY PATTERNS USING SCALP EEG
AU -
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1358
ER -
. (2016). EPILEPTOGENIC BRAIN CONNECTIVITY PATTERNS USING SCALP EEG. IEEE SigPort. http://sigport.org/1358
, 2016. EPILEPTOGENIC BRAIN CONNECTIVITY PATTERNS USING SCALP EEG. Available at: http://sigport.org/1358.
. (2016). "EPILEPTOGENIC BRAIN CONNECTIVITY PATTERNS USING SCALP EEG." Web.
1. . EPILEPTOGENIC BRAIN CONNECTIVITY PATTERNS USING SCALP EEG [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1358

Bottleneck Capacity of Random Graphs for Connectomics

Lav Varshney

With developments in experimental connectomics producing wiring diagrams of many neuronal networks, there is emerging interest in theories to understand the relationship between structure and function. Efficiency of information flow in networks has been proposed as a key functional in characterizing cognition, and we have previously shown that information-theoretic limits on information flow are predictive of behavioral speed in the nematode Caenorhabditis elegans.

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Authors:
Lav Varshney
Lav R. Varshney
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20 March 2016 - 4:38am
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[1] Lav R. Varshney, "Bottleneck Capacity of Random Graphs for Connectomics", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/859. Accessed: Oct. 20, 2019.
@article{859-16,
url = {http://sigport.org/859},
author = {Lav R. Varshney },
publisher = {IEEE SigPort},
title = {Bottleneck Capacity of Random Graphs for Connectomics},
year = {2016} }
TY - EJOUR
T1 - Bottleneck Capacity of Random Graphs for Connectomics
AU - Lav R. Varshney
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/859
ER -
Lav R. Varshney. (2016). Bottleneck Capacity of Random Graphs for Connectomics. IEEE SigPort. http://sigport.org/859
Lav R. Varshney, 2016. Bottleneck Capacity of Random Graphs for Connectomics. Available at: http://sigport.org/859.
Lav R. Varshney. (2016). "Bottleneck Capacity of Random Graphs for Connectomics." Web.
1. Lav R. Varshney. Bottleneck Capacity of Random Graphs for Connectomics [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/859

EXTRACTION OF TONGUE CONTOUR IN REAL-TIME MAGNETIC RESONANCE IMAGING SEQUENCES

Dawei Zhang
Bin Liu

Real-time magnetic resonance imaging (rtMRI) is becoming a practical tool in speech production research and language pathology observation. It is still a challenge to extract the tongue contour accurately in rtMRI sequences, since tongue is a soft tissue and often touches other organs such as lips and upper mandible. This paper proposes a novel semi-automatic tongue contour extraction method from rtMRI sequences. The initial boundary image is obtained by combined multi-directional Sobel operators in tongue movement region; then a boundary intensity map is constructed to find the most probable tongue contour points by searching for the optimal boundary route with Viterbi algorithm; finally the tongue contour is obtained using B-Spline approximation. The proposed method could obtain accurate tongue contour from rtMRI sequences, even in the cases that some parts of tongue touch other organs. Experiments demonstrate the robustness of the proposed method.

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Authors:
Dawei Zhang
Bin Liu
Dawei Zhang, Minghao Yang, Jianhua Tao, Yang Wang, Bin Liu, Danish Bukhari
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19 March 2016 - 10:52am
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[1] Dawei Zhang, Minghao Yang, Jianhua Tao, Yang Wang, Bin Liu, Danish Bukhari, "EXTRACTION OF TONGUE CONTOUR IN REAL-TIME MAGNETIC RESONANCE IMAGING SEQUENCES", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/815. Accessed: Oct. 20, 2019.
@article{815-16,
url = {http://sigport.org/815},
author = {Dawei Zhang; Minghao Yang; Jianhua Tao; Yang Wang; Bin Liu; Danish Bukhari },
publisher = {IEEE SigPort},
title = {EXTRACTION OF TONGUE CONTOUR IN REAL-TIME MAGNETIC RESONANCE IMAGING SEQUENCES},
year = {2016} }
TY - EJOUR
T1 - EXTRACTION OF TONGUE CONTOUR IN REAL-TIME MAGNETIC RESONANCE IMAGING SEQUENCES
AU - Dawei Zhang; Minghao Yang; Jianhua Tao; Yang Wang; Bin Liu; Danish Bukhari
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/815
ER -
Dawei Zhang, Minghao Yang, Jianhua Tao, Yang Wang, Bin Liu, Danish Bukhari. (2016). EXTRACTION OF TONGUE CONTOUR IN REAL-TIME MAGNETIC RESONANCE IMAGING SEQUENCES. IEEE SigPort. http://sigport.org/815
Dawei Zhang, Minghao Yang, Jianhua Tao, Yang Wang, Bin Liu, Danish Bukhari, 2016. EXTRACTION OF TONGUE CONTOUR IN REAL-TIME MAGNETIC RESONANCE IMAGING SEQUENCES. Available at: http://sigport.org/815.
Dawei Zhang, Minghao Yang, Jianhua Tao, Yang Wang, Bin Liu, Danish Bukhari. (2016). "EXTRACTION OF TONGUE CONTOUR IN REAL-TIME MAGNETIC RESONANCE IMAGING SEQUENCES." Web.
1. Dawei Zhang, Minghao Yang, Jianhua Tao, Yang Wang, Bin Liu, Danish Bukhari. EXTRACTION OF TONGUE CONTOUR IN REAL-TIME MAGNETIC RESONANCE IMAGING SEQUENCES [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/815

Sparse Signal Recovery Methods for Variant Detection in Next-Generation Sequencing Data

Mario Banuelos
Lasith Adhikari

Abstract:

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Authors:
Mario Banuelos
Lasith Adhikari
Mario Banuelos, Rubi Almanza, Lasith Adhikari, Suzanne Sindi, Roummel Marcia
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19 March 2016 - 4:15am
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[1] Mario Banuelos, Rubi Almanza, Lasith Adhikari, Suzanne Sindi, Roummel Marcia, "Sparse Signal Recovery Methods for Variant Detection in Next-Generation Sequencing Data", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/785. Accessed: Oct. 20, 2019.
@article{785-16,
url = {http://sigport.org/785},
author = { Mario Banuelos; Rubi Almanza; Lasith Adhikari; Suzanne Sindi; Roummel Marcia },
publisher = {IEEE SigPort},
title = {Sparse Signal Recovery Methods for Variant Detection in Next-Generation Sequencing Data},
year = {2016} }
TY - EJOUR
T1 - Sparse Signal Recovery Methods for Variant Detection in Next-Generation Sequencing Data
AU - Mario Banuelos; Rubi Almanza; Lasith Adhikari; Suzanne Sindi; Roummel Marcia
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/785
ER -
Mario Banuelos, Rubi Almanza, Lasith Adhikari, Suzanne Sindi, Roummel Marcia. (2016). Sparse Signal Recovery Methods for Variant Detection in Next-Generation Sequencing Data. IEEE SigPort. http://sigport.org/785
Mario Banuelos, Rubi Almanza, Lasith Adhikari, Suzanne Sindi, Roummel Marcia, 2016. Sparse Signal Recovery Methods for Variant Detection in Next-Generation Sequencing Data. Available at: http://sigport.org/785.
Mario Banuelos, Rubi Almanza, Lasith Adhikari, Suzanne Sindi, Roummel Marcia. (2016). "Sparse Signal Recovery Methods for Variant Detection in Next-Generation Sequencing Data." Web.
1. Mario Banuelos, Rubi Almanza, Lasith Adhikari, Suzanne Sindi, Roummel Marcia. Sparse Signal Recovery Methods for Variant Detection in Next-Generation Sequencing Data [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/785

Quantifying Cooperation in Choir Singing: Respiratory and Cardiac Synchronisation

Apit Hemakom

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Authors:
Apit Hemakom
Apit Hemakom, Valentin Goverdovsky, Lisa Aufegger, Danilo P. Mandic
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24 March 2016 - 11:40pm
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20160325 ICASSP choir synchrony.pdf

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[1] Apit Hemakom, Valentin Goverdovsky, Lisa Aufegger, Danilo P. Mandic, "Quantifying Cooperation in Choir Singing: Respiratory and Cardiac Synchronisation", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/784. Accessed: Oct. 20, 2019.
@article{784-16,
url = {http://sigport.org/784},
author = {Apit Hemakom; Valentin Goverdovsky; Lisa Aufegger; Danilo P. Mandic },
publisher = {IEEE SigPort},
title = {Quantifying Cooperation in Choir Singing: Respiratory and Cardiac Synchronisation},
year = {2016} }
TY - EJOUR
T1 - Quantifying Cooperation in Choir Singing: Respiratory and Cardiac Synchronisation
AU - Apit Hemakom; Valentin Goverdovsky; Lisa Aufegger; Danilo P. Mandic
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/784
ER -
Apit Hemakom, Valentin Goverdovsky, Lisa Aufegger, Danilo P. Mandic. (2016). Quantifying Cooperation in Choir Singing: Respiratory and Cardiac Synchronisation. IEEE SigPort. http://sigport.org/784
Apit Hemakom, Valentin Goverdovsky, Lisa Aufegger, Danilo P. Mandic, 2016. Quantifying Cooperation in Choir Singing: Respiratory and Cardiac Synchronisation. Available at: http://sigport.org/784.
Apit Hemakom, Valentin Goverdovsky, Lisa Aufegger, Danilo P. Mandic. (2016). "Quantifying Cooperation in Choir Singing: Respiratory and Cardiac Synchronisation." Web.
1. Apit Hemakom, Valentin Goverdovsky, Lisa Aufegger, Danilo P. Mandic. Quantifying Cooperation in Choir Singing: Respiratory and Cardiac Synchronisation [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/784

Blind polychromatic X-Ray CT reconstruction from Poisson measurements

Aleksandar Dogandzic

X-ray sources are polychromatic. Ignoring this fact when performing reconstruction leads to artifacts, such as cupping and streaking, in reconstructed images. We first propose a new model parameterization that allows for blind correction of these artifacts and then develop reconstruction algorithms based on this parameterization.

Here, blind correction means that we do not know
- incident spectrum (which is an X-ray machine characteristic) and
- mass attenuation (inspected material).

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Authors:
Aleksandar Dogandzic
Renliang Gu, Aleksandar Dogandzic
Submitted On:
14 March 2016 - 6:04am
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[1] Renliang Gu, Aleksandar Dogandzic, "Blind polychromatic X-Ray CT reconstruction from Poisson measurements", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/668. Accessed: Oct. 20, 2019.
@article{668-16,
url = {http://sigport.org/668},
author = {Renliang Gu; Aleksandar Dogandzic },
publisher = {IEEE SigPort},
title = {Blind polychromatic X-Ray CT reconstruction from Poisson measurements},
year = {2016} }
TY - EJOUR
T1 - Blind polychromatic X-Ray CT reconstruction from Poisson measurements
AU - Renliang Gu; Aleksandar Dogandzic
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/668
ER -
Renliang Gu, Aleksandar Dogandzic. (2016). Blind polychromatic X-Ray CT reconstruction from Poisson measurements. IEEE SigPort. http://sigport.org/668
Renliang Gu, Aleksandar Dogandzic, 2016. Blind polychromatic X-Ray CT reconstruction from Poisson measurements. Available at: http://sigport.org/668.
Renliang Gu, Aleksandar Dogandzic. (2016). "Blind polychromatic X-Ray CT reconstruction from Poisson measurements." Web.
1. Renliang Gu, Aleksandar Dogandzic. Blind polychromatic X-Ray CT reconstruction from Poisson measurements [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/668

PCA BASED ALGORITHM FOR LONGITUDINAL BRAIN TUMOR STAGE CLASSIFICATION AND DYNAMICALMODELING OF TUMOR DECAY IN RESPONSE TO VB-111 VIROTHERAPY

Amy Daali

In this dissertation, we propose the first, to the best of our knowledge, PCA based algorithm to noninvasively recognize and classify different temporal stages of brain tumors given a large time series of MRI images. We propose an algorithm that addresses the challenging task of classifying stage of tumor over period of time while the tumor is being treated with VB-111 virotherapy. Our approach treats stage tumor recognition as a two-dimensional recognition problem. Detecting the stage of the tumor is a crucial prognosis factor for predicting the progression of cancer and patient survival.

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Authors:
Amy Daali
Submitted On:
16 November 2016 - 9:38am
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[1] , "PCA BASED ALGORITHM FOR LONGITUDINAL BRAIN TUMOR STAGE CLASSIFICATION AND DYNAMICALMODELING OF TUMOR DECAY IN RESPONSE TO VB-111 VIROTHERAPY", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/570. Accessed: Oct. 20, 2019.
@article{570-15,
url = {http://sigport.org/570},
author = { },
publisher = {IEEE SigPort},
title = {PCA BASED ALGORITHM FOR LONGITUDINAL BRAIN TUMOR STAGE CLASSIFICATION AND DYNAMICALMODELING OF TUMOR DECAY IN RESPONSE TO VB-111 VIROTHERAPY},
year = {2015} }
TY - EJOUR
T1 - PCA BASED ALGORITHM FOR LONGITUDINAL BRAIN TUMOR STAGE CLASSIFICATION AND DYNAMICALMODELING OF TUMOR DECAY IN RESPONSE TO VB-111 VIROTHERAPY
AU -
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/570
ER -
. (2015). PCA BASED ALGORITHM FOR LONGITUDINAL BRAIN TUMOR STAGE CLASSIFICATION AND DYNAMICALMODELING OF TUMOR DECAY IN RESPONSE TO VB-111 VIROTHERAPY. IEEE SigPort. http://sigport.org/570
, 2015. PCA BASED ALGORITHM FOR LONGITUDINAL BRAIN TUMOR STAGE CLASSIFICATION AND DYNAMICALMODELING OF TUMOR DECAY IN RESPONSE TO VB-111 VIROTHERAPY. Available at: http://sigport.org/570.
. (2015). "PCA BASED ALGORITHM FOR LONGITUDINAL BRAIN TUMOR STAGE CLASSIFICATION AND DYNAMICALMODELING OF TUMOR DECAY IN RESPONSE TO VB-111 VIROTHERAPY." Web.
1. . PCA BASED ALGORITHM FOR LONGITUDINAL BRAIN TUMOR STAGE CLASSIFICATION AND DYNAMICALMODELING OF TUMOR DECAY IN RESPONSE TO VB-111 VIROTHERAPY [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/570

A Time-Frequency Based Bivariate Synchrony Measure for Reducing Volume Conduction Effects in EEG

Marisel Villafane-Delgado
Selin Aviyente

Phase synchrony measures computed on electrophysiological signals play an important role in the assessment of cognitive and sensory processes. However, due to the effects of volume conduction false synchronization values may arise between time series. Measures such as the imaginary part of coherence (ImC), phase-lag index (PLI) and an enhanced version of it, the weighted PLI (WPLI) have been proposed in order to attenuate the effects of volume conduction.

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Authors:
Marisel Villafane-Delgado
Selin Aviyente
Submitted On:
23 February 2016 - 1:44pm
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[1] , "A Time-Frequency Based Bivariate Synchrony Measure for Reducing Volume Conduction Effects in EEG", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/558. Accessed: Oct. 20, 2019.
@article{558-15,
url = {http://sigport.org/558},
author = { },
publisher = {IEEE SigPort},
title = {A Time-Frequency Based Bivariate Synchrony Measure for Reducing Volume Conduction Effects in EEG},
year = {2015} }
TY - EJOUR
T1 - A Time-Frequency Based Bivariate Synchrony Measure for Reducing Volume Conduction Effects in EEG
AU -
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/558
ER -
. (2015). A Time-Frequency Based Bivariate Synchrony Measure for Reducing Volume Conduction Effects in EEG. IEEE SigPort. http://sigport.org/558
, 2015. A Time-Frequency Based Bivariate Synchrony Measure for Reducing Volume Conduction Effects in EEG. Available at: http://sigport.org/558.
. (2015). "A Time-Frequency Based Bivariate Synchrony Measure for Reducing Volume Conduction Effects in EEG." Web.
1. . A Time-Frequency Based Bivariate Synchrony Measure for Reducing Volume Conduction Effects in EEG [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/558

Brain Functional Connectivity Analysis Using Mutual Information

Tongtong Li

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Authors:
Tongtong Li
Zhe Wang, Ahmed Alahmadi, David C. Zhu
Submitted On:
23 February 2016 - 1:44pm
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[1] Zhe Wang, Ahmed Alahmadi, David C. Zhu, "Brain Functional Connectivity Analysis Using Mutual Information", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/388. Accessed: Oct. 20, 2019.
@article{388-15,
url = {http://sigport.org/388},
author = {Zhe Wang; Ahmed Alahmadi; David C. Zhu },
publisher = {IEEE SigPort},
title = {Brain Functional Connectivity Analysis Using Mutual Information},
year = {2015} }
TY - EJOUR
T1 - Brain Functional Connectivity Analysis Using Mutual Information
AU - Zhe Wang; Ahmed Alahmadi; David C. Zhu
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/388
ER -
Zhe Wang, Ahmed Alahmadi, David C. Zhu. (2015). Brain Functional Connectivity Analysis Using Mutual Information. IEEE SigPort. http://sigport.org/388
Zhe Wang, Ahmed Alahmadi, David C. Zhu, 2015. Brain Functional Connectivity Analysis Using Mutual Information. Available at: http://sigport.org/388.
Zhe Wang, Ahmed Alahmadi, David C. Zhu. (2015). "Brain Functional Connectivity Analysis Using Mutual Information." Web.
1. Zhe Wang, Ahmed Alahmadi, David C. Zhu. Brain Functional Connectivity Analysis Using Mutual Information [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/388

IMAGE UNMIXING SUCCESS ESTIMATION IN SPATIALLY VARYING SYSTEMS

Ron Gaizman

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Authors:
Ron Gaizman
Yehoshua Y. Zeevi
Submitted On:
23 February 2016 - 1:44pm
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PaperPresentation.pdf

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[1] Yehoshua Y. Zeevi, "IMAGE UNMIXING SUCCESS ESTIMATION IN SPATIALLY VARYING SYSTEMS", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/353. Accessed: Oct. 20, 2019.
@article{353-15,
url = {http://sigport.org/353},
author = {Yehoshua Y. Zeevi },
publisher = {IEEE SigPort},
title = {IMAGE UNMIXING SUCCESS ESTIMATION IN SPATIALLY VARYING SYSTEMS},
year = {2015} }
TY - EJOUR
T1 - IMAGE UNMIXING SUCCESS ESTIMATION IN SPATIALLY VARYING SYSTEMS
AU - Yehoshua Y. Zeevi
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/353
ER -
Yehoshua Y. Zeevi. (2015). IMAGE UNMIXING SUCCESS ESTIMATION IN SPATIALLY VARYING SYSTEMS. IEEE SigPort. http://sigport.org/353
Yehoshua Y. Zeevi, 2015. IMAGE UNMIXING SUCCESS ESTIMATION IN SPATIALLY VARYING SYSTEMS. Available at: http://sigport.org/353.
Yehoshua Y. Zeevi. (2015). "IMAGE UNMIXING SUCCESS ESTIMATION IN SPATIALLY VARYING SYSTEMS." Web.
1. Yehoshua Y. Zeevi. IMAGE UNMIXING SUCCESS ESTIMATION IN SPATIALLY VARYING SYSTEMS [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/353

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