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Medical imaging

Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network

Shrimanti Ghosh

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Shrimanti Ghosh
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11 September 2017 - 12:17pm
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[1] , "Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1913. Accessed: Aug. 19, 2019.
@article{1913-17,
url = {http://sigport.org/1913},
author = { },
publisher = {IEEE SigPort},
title = {Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network},
year = {2017} }
TY - EJOUR
T1 - Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1913
ER -
. (2017). Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network. IEEE SigPort. http://sigport.org/1913
, 2017. Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network. Available at: http://sigport.org/1913.
. (2017). "Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network." Web.
1. . Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1913

Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network

Shrimanti Ghosh

Paper Details

Authors:
Shrimanti Ghosh
Submitted On:
11 September 2017 - 12:17pm
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[1] , "Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1912. Accessed: Aug. 19, 2019.
@article{1912-17,
url = {http://sigport.org/1912},
author = { },
publisher = {IEEE SigPort},
title = {Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network},
year = {2017} }
TY - EJOUR
T1 - Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1912
ER -
. (2017). Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network. IEEE SigPort. http://sigport.org/1912
, 2017. Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network. Available at: http://sigport.org/1912.
. (2017). "Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network." Web.
1. . Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1912

Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network

Shrimanti Ghosh

ICIP2017_poster.pdf

PDF icon ICIP2017_poster.pdf (383)

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Authors:
Shrimanti Ghosh
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11 September 2017 - 12:17pm
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[1] , "Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1911. Accessed: Aug. 19, 2019.
@article{1911-17,
url = {http://sigport.org/1911},
author = { },
publisher = {IEEE SigPort},
title = {Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network},
year = {2017} }
TY - EJOUR
T1 - Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1911
ER -
. (2017). Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network. IEEE SigPort. http://sigport.org/1911
, 2017. Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network. Available at: http://sigport.org/1911.
. (2017). "Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network." Web.
1. . Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1911

Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network

Shrimanti Ghosh

ICIP2017_poster.pdf

PDF icon ICIP2017_poster.pdf (383)

Paper Details

Authors:
Shrimanti Ghosh
Submitted On:
11 September 2017 - 12:17pm
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[1] , "Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1910. Accessed: Aug. 19, 2019.
@article{1910-17,
url = {http://sigport.org/1910},
author = { },
publisher = {IEEE SigPort},
title = {Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network},
year = {2017} }
TY - EJOUR
T1 - Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1910
ER -
. (2017). Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network. IEEE SigPort. http://sigport.org/1910
, 2017. Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network. Available at: http://sigport.org/1910.
. (2017). "Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network." Web.
1. . Automated 3D Muscle Segmentation From MRI Data Using Convolutional Neural Network [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1910

LINE DETECTION IN SPECKLE IMAGES USING RADON TRANSFORM AND L1 REGULARIZATION

Nantheera Anantrasirichai

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Authors:
Nantheera Anantrasirichai
Submitted On:
5 March 2017 - 12:42pm
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linerestoration.pptx

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[1] , " LINE DETECTION IN SPECKLE IMAGES USING RADON TRANSFORM AND L1 REGULARIZATION", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1633. Accessed: Aug. 19, 2019.
@article{1633-17,
url = {http://sigport.org/1633},
author = { },
publisher = {IEEE SigPort},
title = { LINE DETECTION IN SPECKLE IMAGES USING RADON TRANSFORM AND L1 REGULARIZATION},
year = {2017} }
TY - EJOUR
T1 - LINE DETECTION IN SPECKLE IMAGES USING RADON TRANSFORM AND L1 REGULARIZATION
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1633
ER -
. (2017). LINE DETECTION IN SPECKLE IMAGES USING RADON TRANSFORM AND L1 REGULARIZATION. IEEE SigPort. http://sigport.org/1633
, 2017. LINE DETECTION IN SPECKLE IMAGES USING RADON TRANSFORM AND L1 REGULARIZATION. Available at: http://sigport.org/1633.
. (2017). " LINE DETECTION IN SPECKLE IMAGES USING RADON TRANSFORM AND L1 REGULARIZATION." Web.
1. . LINE DETECTION IN SPECKLE IMAGES USING RADON TRANSFORM AND L1 REGULARIZATION [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1633

Sparse Reconstruction for Fluorescence Lifetime Imaging Microscopy with Poisson Noise

Lasith Adhikari

We present a novel, three-stage method to solve the fluorescence lifetime imaging problem under low-photon conditions. In particular, we reconstruct the fluorophore concentration along with its support and fluorescence lifetime from the time-dependent measurements of scattered light exiting the domain. Because detectors used for these problems are photon counting devices, measurements are corrupted by Poisson noise. Consequently, we explicitly consider Poisson noise in conjunction with SPIRAL-$\ell_p$ -- a sparsity-promoting nonconvex optimization method -- to solve this problem.

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Authors:
Lasith Adhikari
Lasith Adhikari, Arnold D. Kim, Roummel F. Marcia
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7 December 2016 - 10:28am
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FLIM with Poisson

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[1] Lasith Adhikari, Arnold D. Kim, Roummel F. Marcia, "Sparse Reconstruction for Fluorescence Lifetime Imaging Microscopy with Poisson Noise", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1406. Accessed: Aug. 19, 2019.
@article{1406-16,
url = {http://sigport.org/1406},
author = {Lasith Adhikari; Arnold D. Kim; Roummel F. Marcia },
publisher = {IEEE SigPort},
title = {Sparse Reconstruction for Fluorescence Lifetime Imaging Microscopy with Poisson Noise},
year = {2016} }
TY - EJOUR
T1 - Sparse Reconstruction for Fluorescence Lifetime Imaging Microscopy with Poisson Noise
AU - Lasith Adhikari; Arnold D. Kim; Roummel F. Marcia
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1406
ER -
Lasith Adhikari, Arnold D. Kim, Roummel F. Marcia. (2016). Sparse Reconstruction for Fluorescence Lifetime Imaging Microscopy with Poisson Noise. IEEE SigPort. http://sigport.org/1406
Lasith Adhikari, Arnold D. Kim, Roummel F. Marcia, 2016. Sparse Reconstruction for Fluorescence Lifetime Imaging Microscopy with Poisson Noise. Available at: http://sigport.org/1406.
Lasith Adhikari, Arnold D. Kim, Roummel F. Marcia. (2016). "Sparse Reconstruction for Fluorescence Lifetime Imaging Microscopy with Poisson Noise." Web.
1. Lasith Adhikari, Arnold D. Kim, Roummel F. Marcia. Sparse Reconstruction for Fluorescence Lifetime Imaging Microscopy with Poisson Noise [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1406

Fast Dynamic MRI using Linear Dynamical System Model

Vimal Singh

ICASSP 2016 Slide Cover

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Authors:
Vimal Singh
Vimal Singh, Ahmed Tewfik
Submitted On:
20 March 2016 - 3:51pm
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ICASSP2016_draft3.pptx

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ICASSP2016_draft2.pptx

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[1] Vimal Singh, Ahmed Tewfik, "Fast Dynamic MRI using Linear Dynamical System Model", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/759. Accessed: Aug. 19, 2019.
@article{759-16,
url = {http://sigport.org/759},
author = {Vimal Singh; Ahmed Tewfik },
publisher = {IEEE SigPort},
title = {Fast Dynamic MRI using Linear Dynamical System Model},
year = {2016} }
TY - EJOUR
T1 - Fast Dynamic MRI using Linear Dynamical System Model
AU - Vimal Singh; Ahmed Tewfik
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/759
ER -
Vimal Singh, Ahmed Tewfik. (2016). Fast Dynamic MRI using Linear Dynamical System Model. IEEE SigPort. http://sigport.org/759
Vimal Singh, Ahmed Tewfik, 2016. Fast Dynamic MRI using Linear Dynamical System Model. Available at: http://sigport.org/759.
Vimal Singh, Ahmed Tewfik. (2016). "Fast Dynamic MRI using Linear Dynamical System Model." Web.
1. Vimal Singh, Ahmed Tewfik. Fast Dynamic MRI using Linear Dynamical System Model [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/759

Super-resolution spectral analysis for ultrasound scatter characterization

Konstantinos Diamantis

Parametric Bayesian spectral estimation methods have been previously utilized to improve frequency resolution. Ultrasound signals have been tested in such methods resulting in higher precision frequency detection compared to common non-parametric spectral estimation methods based on the Fourier transform. Such a technique using a reversible jump Markov Chain Monte Carlo algorithm has been developed to fully characterize signals and in addition to frequency, to provide amplitude and noise estimation.

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Authors:
Konstantinos Diamantis
Maruf A. Dhali, Gavin Gibson, Yan Yan, James R. Hopgood, Vassilis Sboros
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11 March 2016 - 7:28pm
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[1] Maruf A. Dhali, Gavin Gibson, Yan Yan, James R. Hopgood, Vassilis Sboros, "Super-resolution spectral analysis for ultrasound scatter characterization", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/615. Accessed: Aug. 19, 2019.
@article{615-16,
url = {http://sigport.org/615},
author = {Maruf A. Dhali; Gavin Gibson; Yan Yan; James R. Hopgood; Vassilis Sboros },
publisher = {IEEE SigPort},
title = {Super-resolution spectral analysis for ultrasound scatter characterization},
year = {2016} }
TY - EJOUR
T1 - Super-resolution spectral analysis for ultrasound scatter characterization
AU - Maruf A. Dhali; Gavin Gibson; Yan Yan; James R. Hopgood; Vassilis Sboros
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/615
ER -
Maruf A. Dhali, Gavin Gibson, Yan Yan, James R. Hopgood, Vassilis Sboros. (2016). Super-resolution spectral analysis for ultrasound scatter characterization. IEEE SigPort. http://sigport.org/615
Maruf A. Dhali, Gavin Gibson, Yan Yan, James R. Hopgood, Vassilis Sboros, 2016. Super-resolution spectral analysis for ultrasound scatter characterization. Available at: http://sigport.org/615.
Maruf A. Dhali, Gavin Gibson, Yan Yan, James R. Hopgood, Vassilis Sboros. (2016). "Super-resolution spectral analysis for ultrasound scatter characterization." Web.
1. Maruf A. Dhali, Gavin Gibson, Yan Yan, James R. Hopgood, Vassilis Sboros. Super-resolution spectral analysis for ultrasound scatter characterization [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/615

Magnetic Resonance and computed Tomography Image Fusion using Bidimensional Empirical Mode Decomposition

Saleh Alshebeili

Medical Fuison Image

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Authors:
Saleh Alshebeili
Fathi E. Abd El-Samie
Submitted On:
23 February 2016 - 1:38pm
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BEMD fusion slides.pdf

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[1] Fathi E. Abd El-Samie, "Magnetic Resonance and computed Tomography Image Fusion using Bidimensional Empirical Mode Decomposition", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/497. Accessed: Aug. 19, 2019.
@article{497-15,
url = {http://sigport.org/497},
author = {Fathi E. Abd El-Samie },
publisher = {IEEE SigPort},
title = {Magnetic Resonance and computed Tomography Image Fusion using Bidimensional Empirical Mode Decomposition},
year = {2015} }
TY - EJOUR
T1 - Magnetic Resonance and computed Tomography Image Fusion using Bidimensional Empirical Mode Decomposition
AU - Fathi E. Abd El-Samie
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/497
ER -
Fathi E. Abd El-Samie. (2015). Magnetic Resonance and computed Tomography Image Fusion using Bidimensional Empirical Mode Decomposition. IEEE SigPort. http://sigport.org/497
Fathi E. Abd El-Samie, 2015. Magnetic Resonance and computed Tomography Image Fusion using Bidimensional Empirical Mode Decomposition. Available at: http://sigport.org/497.
Fathi E. Abd El-Samie. (2015). "Magnetic Resonance and computed Tomography Image Fusion using Bidimensional Empirical Mode Decomposition." Web.
1. Fathi E. Abd El-Samie. Magnetic Resonance and computed Tomography Image Fusion using Bidimensional Empirical Mode Decomposition [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/497

Magnetic Resonance and computed Tomography Image Fusion using Bidimensional Empirical Mode Decomposition

Saleh Alshebeili

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Authors:
Saleh Alshebeili
Fathi E. Abd El-Samie
Submitted On:
23 February 2016 - 1:44pm
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BEMD fusion slides.pdf

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[1] Fathi E. Abd El-Samie, "Magnetic Resonance and computed Tomography Image Fusion using Bidimensional Empirical Mode Decomposition", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/418. Accessed: Aug. 19, 2019.
@article{418-15,
url = {http://sigport.org/418},
author = {Fathi E. Abd El-Samie },
publisher = {IEEE SigPort},
title = {Magnetic Resonance and computed Tomography Image Fusion using Bidimensional Empirical Mode Decomposition},
year = {2015} }
TY - EJOUR
T1 - Magnetic Resonance and computed Tomography Image Fusion using Bidimensional Empirical Mode Decomposition
AU - Fathi E. Abd El-Samie
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/418
ER -
Fathi E. Abd El-Samie. (2015). Magnetic Resonance and computed Tomography Image Fusion using Bidimensional Empirical Mode Decomposition. IEEE SigPort. http://sigport.org/418
Fathi E. Abd El-Samie, 2015. Magnetic Resonance and computed Tomography Image Fusion using Bidimensional Empirical Mode Decomposition. Available at: http://sigport.org/418.
Fathi E. Abd El-Samie. (2015). "Magnetic Resonance and computed Tomography Image Fusion using Bidimensional Empirical Mode Decomposition." Web.
1. Fathi E. Abd El-Samie. Magnetic Resonance and computed Tomography Image Fusion using Bidimensional Empirical Mode Decomposition [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/418

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