Algorithm:MIT:New - Revision history

JChris.FillionR: Fix MediaWiki table formatting issue discovered while converting to GitHub Flavored Markdown using pandoc (via https://github.com/outofcontrol/mediawiki-to-gfm)

2023-04-11T06:19:39Z

Fix MediaWiki table formatting issue discovered while converting to GitHub Flavored Markdown using pandoc (via https://github.com/outofcontrol/mediawiki-to-gfm)

Ythomas at 17:18, 14 November 2007

2007-11-14T17:18:19Z

Polina: /* Overview of MIT Algorithms */

2007-11-14T04:12:29Z

Overview of MIT Algorithms

Polina: /* Overview of MIT Algorithms */

2007-11-14T04:09:06Z

Overview of MIT Algorithms

Polina: /* Overview of MIT Algorithms */

2007-11-14T04:07:45Z

Overview of MIT Algorithms

Polina: /* Shape Analysis With Overcomplete Wavelets */

2007-11-14T04:05:57Z

Shape Analysis With Overcomplete Wavelets

Polina: /* Joint Registration and Segmentation of DWI Fiber Tractography */

2007-11-14T04:05:29Z

Joint Registration and Segmentation of DWI Fiber Tractography

Polina: /* Overview of MIT Algorithms */

2007-11-14T04:03:22Z

Overview of MIT Algorithms

Polina: /* Overview of MIT Algorithms */

2007-11-14T04:02:01Z

Overview of MIT Algorithms

Polina: /* Overview of MIT Algorithms */

2007-11-14T03:55:44Z

Overview of MIT Algorithms

← Older revision		Revision as of 06:19, 11 April 2023
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	<font color="red">'''New:'''</font> Mert R Sabuncu and Polina Golland. Structural Constellations for Population Analysis of Anatomical Variability.		<font color="red">'''New:'''</font> Mert R Sabuncu and Polina Golland. Structural Constellations for Population Analysis of Anatomical Variability.
	-->		-->
		+
		+	\|}

@@ Line 22: / Line 22: @@
 **[[#fMRI_clustering|fMRI clustering]]
 **[[#fMRI_Detection_and_Analysis|fMRI Detection and Analysis]]
-* WHite Matter Architecture
+* White Matter Architecture
 **[[#Joint_Registration_and_Segmentation_of_DWI_Fiber_Tractography|Joint Registration and Segmentation of DWI Fiber Tractography]]
 **[[#DTI_Fiber_Clustering_and_Fiber-Based_Analysis|DTI Fiber Clustering and Fiber-Based Analysis]]

@@ Line 3: / Line 3: @@
 = Overview of MIT Algorithms =
-Our group seeks to model statistical variability of anatomy and function across subjects and between populations and to utilize computational models of such variability to improve predictions for individual subjects, as well as characterize populations. Our long-term goal is to develop methods for joint modeling of anatomy and function and to apply them in clinical and scientific studies. We work primarily with anatomical, DTI and fMRI images. We actively contribute the implementation of our algorithms to the NAMIC-kit.
+Our group seeks to model statistical variability of anatomy and function across subjects and between populations and to utilize computational models of such variability to improve predictions for individual subjects, as well as characterize populations. Our long-term goal is to develop methods for joint modeling of anatomy and function and to apply them in clinical and scientific studies. We work primarily with anatomical, DTI and fMRI images. We actively contribute implementations of our algorithms to the NAMIC-kit.
 Most Recent Projects:

@@ Line 9: / Line 9: @@
 * Segmentation
 **[[#Shape_Based_Segmentation_and_Registration|Shape Based Segmentation and Registration]]
-**[[#Effects_of_Registration_Regularization_on_Segmentation_Accuracy|Effects of Registration Regularization on Segmentation Accuracy]]
+**[[#Effects_of_Registration_Regularization_on_Segmentation_Accuracy|Optimal Atlas Regularization in Image Segmentation]]
 **[[#Joint_Registration_and_Segmentation_of_DWI_Fiber_Tractography|Joint Registration and Segmentation of DWI Fiber Tractography]]
 **[[#fMRI_clustering|fMRI clustering]]
@@ Line 15: / Line 15: @@
 **[[#Groupwise_Registration|Groupwise Registration]]
 **[[#Multimodal_Atlas|Multimodal Atlas]]
-**[[#Effects_of_Registration_Regularization_on_Segmentation_Accuracy|Effects of Registration Regularization on Segmentation Accuracy]]
+**[[#Effects_of_Registration_Regularization_on_Segmentation_Accuracy|Optimal Atlas Regularization in Image Segmentation]]
 **[[#Joint_Registration_and_Segmentation_of_DWI_Fiber_Tractography|Joint Registration and Segmentation of DWI Fiber Tractography]]
 * Shape Representation and Analysis

@@ Line 10: / Line 10: @@
 **[[#Shape_Based_Segmentation_and_Registration|Shape Based Segmentation and Registration]]
 **[[#Effects_of_Registration_Regularization_on_Segmentation_Accuracy|Effects of Registration Regularization on Segmentation Accuracy]]
 **[[#fMRI_clustering|fMRI clustering]]
 * Registration
 **[[#Groupwise_Registration|Groupwise Registration]]

@@ Line 99: / Line 99: @@
 |-
-| | [[Image:mit_fmri_clustering_parcellation2_xsub.png|center|200px]]
+| | [[Image:mit_fmri_clustering_parcellation2_xsub.png|center|150px]]
 | |

@@ Line 123: / Line 123: @@
 |-
-| | [[Image:brain.png|center|200px]]
+| | [[Image:brain.png|center|150px]]
 | |

@@ Line 4: / Line 4: @@
 Our group seeks to model statistical variability of anatomy and function across subjects and between populations and to utilize computational models of such variability to improve predictions for individual subjects, as well as characterize populations. Our long-term goal is to develop methods for joint modeling of anatomy and function and to apply them in clinical and scientific studies. We work primarily with anatomical, DTI and fMRI images. We actively contribute the implementation of our algorithms to the NAMIC-kit.
 Most Recent Projects:
@@ Line 27: / Line 26: @@
 **[[#DTI_Fiber_Clustering_and_Fiber-Based_Analysis|DTI Fiber Clustering and Fiber-Based Analysis]]
 **[[#Fiber_Tract_Modeling.2C_Clustering.2C_and_Quantitative_Analysis|Fiber Tract Modeling, Clustering and Quantitative Analysis]]
 = MIT Projects =