Sorry, you need to enable JavaScript to visit this website.

Bio Imaging and Signal Processing

CIRCLET BASED FRAMEWORK FOR OPTIC DISK DETECTION


Optic Disc (OD) detection in retinal fundus images is a crucial stage for the automation of a screening system in diabetic ophthalmology. Most researches for automatic localization of OD benefit the regions of vessels. In this paper, we present a fast and novel method based on the Circlet Trans-form to detect OD in digital retinal fundus images that doesn’t utilize the location of the vessels. First, each R, G and B band is enhanced using CLAHE method. Then, the enhanced image in RGB color space is converted to L*a*b one.

Paper Details

Authors:
Omid Sarrafzadeh, Hossein Rabbani
Submitted On:
6 September 2017 - 3:56am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

2017 ICIP Optic Disk 3.pdf

(7 downloads)

Keywords

Subscribe

[1] Omid Sarrafzadeh, Hossein Rabbani, "CIRCLET BASED FRAMEWORK FOR OPTIC DISK DETECTION", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1838. Accessed: Sep. 20, 2017.
@article{1838-17,
url = {http://sigport.org/1838},
author = {Omid Sarrafzadeh; Hossein Rabbani },
publisher = {IEEE SigPort},
title = {CIRCLET BASED FRAMEWORK FOR OPTIC DISK DETECTION},
year = {2017} }
TY - EJOUR
T1 - CIRCLET BASED FRAMEWORK FOR OPTIC DISK DETECTION
AU - Omid Sarrafzadeh; Hossein Rabbani
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1838
ER -
Omid Sarrafzadeh, Hossein Rabbani. (2017). CIRCLET BASED FRAMEWORK FOR OPTIC DISK DETECTION. IEEE SigPort. http://sigport.org/1838
Omid Sarrafzadeh, Hossein Rabbani, 2017. CIRCLET BASED FRAMEWORK FOR OPTIC DISK DETECTION. Available at: http://sigport.org/1838.
Omid Sarrafzadeh, Hossein Rabbani. (2017). "CIRCLET BASED FRAMEWORK FOR OPTIC DISK DETECTION." Web.
1. Omid Sarrafzadeh, Hossein Rabbani. CIRCLET BASED FRAMEWORK FOR OPTIC DISK DETECTION [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1838

ALIGNMENT OF OPTIC NERVE HEAD OPTICAL COHERENCE TOMOGRAPHY B-SCANS IN RIGHT AND LEFT EYES


Symmetry analysis of right and left eyes can be a useful tool for early detection of eye diseases. In this study, we want to compare the Optical Coherent Tomography (OCT) images captured from optic nerve head (ONH) of right and left eyes. To do this, it is necessary to align the OCT data and com-pare equivalent B-scans in right and left eyes.

icip_7.pdf

PDF icon icip_7.pdf (13 downloads)

Paper Details

Authors:
Marzieh Mokhtari, Hossein Rabbani, Alireza Mehri-Dehnavi
Submitted On:
5 September 2017 - 1:33am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

icip_7.pdf

(13 downloads)

Keywords

Subscribe

[1] Marzieh Mokhtari, Hossein Rabbani, Alireza Mehri-Dehnavi, "ALIGNMENT OF OPTIC NERVE HEAD OPTICAL COHERENCE TOMOGRAPHY B-SCANS IN RIGHT AND LEFT EYES", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1834. Accessed: Sep. 20, 2017.
@article{1834-17,
url = {http://sigport.org/1834},
author = {Marzieh Mokhtari; Hossein Rabbani; Alireza Mehri-Dehnavi },
publisher = {IEEE SigPort},
title = {ALIGNMENT OF OPTIC NERVE HEAD OPTICAL COHERENCE TOMOGRAPHY B-SCANS IN RIGHT AND LEFT EYES},
year = {2017} }
TY - EJOUR
T1 - ALIGNMENT OF OPTIC NERVE HEAD OPTICAL COHERENCE TOMOGRAPHY B-SCANS IN RIGHT AND LEFT EYES
AU - Marzieh Mokhtari; Hossein Rabbani; Alireza Mehri-Dehnavi
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1834
ER -
Marzieh Mokhtari, Hossein Rabbani, Alireza Mehri-Dehnavi. (2017). ALIGNMENT OF OPTIC NERVE HEAD OPTICAL COHERENCE TOMOGRAPHY B-SCANS IN RIGHT AND LEFT EYES. IEEE SigPort. http://sigport.org/1834
Marzieh Mokhtari, Hossein Rabbani, Alireza Mehri-Dehnavi, 2017. ALIGNMENT OF OPTIC NERVE HEAD OPTICAL COHERENCE TOMOGRAPHY B-SCANS IN RIGHT AND LEFT EYES. Available at: http://sigport.org/1834.
Marzieh Mokhtari, Hossein Rabbani, Alireza Mehri-Dehnavi. (2017). "ALIGNMENT OF OPTIC NERVE HEAD OPTICAL COHERENCE TOMOGRAPHY B-SCANS IN RIGHT AND LEFT EYES." Web.
1. Marzieh Mokhtari, Hossein Rabbani, Alireza Mehri-Dehnavi. ALIGNMENT OF OPTIC NERVE HEAD OPTICAL COHERENCE TOMOGRAPHY B-SCANS IN RIGHT AND LEFT EYES [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1834

A KNOWLEDGE-DRIVEN FRAMEWORK FOR ECG REPRESENTATION AND INTERPRETATION FOR WEARABLE APPLICATIONS

Paper Details

Authors:
Ramasubramanian Balasubramanian, Theodora Chaspari, Shrikanth Narayanan
Submitted On:
28 February 2017 - 9:32pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

ICASSP2017_ECGRepresentation.pdf

(138 downloads)

Keywords

Subscribe

[1] Ramasubramanian Balasubramanian, Theodora Chaspari, Shrikanth Narayanan, "A KNOWLEDGE-DRIVEN FRAMEWORK FOR ECG REPRESENTATION AND INTERPRETATION FOR WEARABLE APPLICATIONS", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1525. Accessed: Sep. 20, 2017.
@article{1525-17,
url = {http://sigport.org/1525},
author = {Ramasubramanian Balasubramanian; Theodora Chaspari; Shrikanth Narayanan },
publisher = {IEEE SigPort},
title = {A KNOWLEDGE-DRIVEN FRAMEWORK FOR ECG REPRESENTATION AND INTERPRETATION FOR WEARABLE APPLICATIONS},
year = {2017} }
TY - EJOUR
T1 - A KNOWLEDGE-DRIVEN FRAMEWORK FOR ECG REPRESENTATION AND INTERPRETATION FOR WEARABLE APPLICATIONS
AU - Ramasubramanian Balasubramanian; Theodora Chaspari; Shrikanth Narayanan
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1525
ER -
Ramasubramanian Balasubramanian, Theodora Chaspari, Shrikanth Narayanan. (2017). A KNOWLEDGE-DRIVEN FRAMEWORK FOR ECG REPRESENTATION AND INTERPRETATION FOR WEARABLE APPLICATIONS. IEEE SigPort. http://sigport.org/1525
Ramasubramanian Balasubramanian, Theodora Chaspari, Shrikanth Narayanan, 2017. A KNOWLEDGE-DRIVEN FRAMEWORK FOR ECG REPRESENTATION AND INTERPRETATION FOR WEARABLE APPLICATIONS. Available at: http://sigport.org/1525.
Ramasubramanian Balasubramanian, Theodora Chaspari, Shrikanth Narayanan. (2017). "A KNOWLEDGE-DRIVEN FRAMEWORK FOR ECG REPRESENTATION AND INTERPRETATION FOR WEARABLE APPLICATIONS." Web.
1. Ramasubramanian Balasubramanian, Theodora Chaspari, Shrikanth Narayanan. A KNOWLEDGE-DRIVEN FRAMEWORK FOR ECG REPRESENTATION AND INTERPRETATION FOR WEARABLE APPLICATIONS [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1525

EPILEPTOGENIC BRAIN CONNECTIVITY PATTERNS USING SCALP EEG

Paper Details

Authors:
Submitted On:
6 December 2016 - 10:02am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

GlobalSIP_Presentation.pptx

(117 downloads)

Keywords

Subscribe

[1] , "EPILEPTOGENIC BRAIN CONNECTIVITY PATTERNS USING SCALP EEG", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1358. Accessed: Sep. 20, 2017.
@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


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.

Varshney.pdf

PDF icon Varshney.pdf (247 downloads)

Paper Details

Authors:
Lav R. Varshney
Submitted On:
20 March 2016 - 4:38am
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

Varshney.pdf

(247 downloads)

Keywords

Subscribe

[1] Lav R. Varshney, "Bottleneck Capacity of Random Graphs for Connectomics", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/859. Accessed: Sep. 20, 2017.
@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


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.

Paper Details

Authors:
Dawei Zhang, Minghao Yang, Jianhua Tao, Yang Wang, Bin Liu, Danish Bukhari
Submitted On:
19 March 2016 - 10:52am
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

Poster-ICASSP-2016.pdf

(237 downloads)

Keywords

Subscribe

[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: Sep. 20, 2017.
@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

Paper Details

Authors:
Mario Banuelos, Rubi Almanza, Lasith Adhikari, Suzanne Sindi, Roummel Marcia
Submitted On:
19 March 2016 - 4:15am
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

ICASSP2016_2589.pdf

(245 downloads)

Keywords

Additional Categories

Subscribe

[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: Sep. 20, 2017.
@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

Paper Details

Authors:
Apit Hemakom, Valentin Goverdovsky, Lisa Aufegger, Danilo P. Mandic
Submitted On:
24 March 2016 - 11:40pm
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

20160325 ICASSP choir synchrony.pdf

(219 downloads)

Keywords

Subscribe

[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: Sep. 20, 2017.
@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


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).

poster.pdf

PDF icon poster.pdf (594 downloads)

Paper Details

Authors:
Renliang Gu, Aleksandar Dogandzic
Submitted On:
14 March 2016 - 6:04am
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

poster.pdf

(594 downloads)

Keywords

Subscribe

[1] Renliang Gu, Aleksandar Dogandzic, "Blind polychromatic X-Ray CT reconstruction from Poisson measurements", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/668. Accessed: Sep. 20, 2017.
@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


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.

Paper Details

Authors:
Submitted On:
16 November 2016 - 9:38am
Short Link:
Type:
Document Year:
Cite

Document Files

Defense_Presentation.pptx

(120 downloads)

Keywords

Subscribe

[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: Sep. 20, 2017.
@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

Pages