Martha E. Shenton - Citegraph

Author Info

Name	Affiliation	Papers
MARTHA E. SHENTON	HARVARD UNIV, SCH MED,DEPT PSYCHIAT 116A,NEUROSCI LAB, CLIN NEUROSCI DIV, BROCKTON, MA 02401 USA	26
Collaborators	Citations	PageRank
165	394	41.14
Referers	Referees	References
1265	673	289

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Publications (26 rows)

Collaborators (100 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
A comparison of methods to harmonize cortical thickness measurements across scanners and sites	0	0.34	2022
MK-Curve improves sensitivity to identify white matter alterations in clinical high risk for psychosis	1	0.35	2021
Agglomerative Region-Based Analysis	0	0.34	2020
Using Machine Learning techniques for identification of Chronic Traumatic Encephalopathy related Spectroscopic Biomarkers	0	0.34	2017
Estimation of extracellular volume from regularized multi-shell diffusion MRI.	5	0.67	2012
A geometry-based particle filtering approach to white matter tractography.	5	0.50	2010
A filtered approach to neural tractography using the Watson directional function	16	0.95	2010
Biomarkers for identifying first-episode schizophrenia patients using diffusion weighted imaging.	4	0.48	2010
Local white matter geometry from diffusion tensor gradients.	8	0.66	2010
On approximation of orientation distributions by means of spherical ridgelets.	38	2.06	2010
Directional functions for orientation distribution estimation.	24	1.53	2009
Two-Tensor Tractography Using a Constrained Filter	3	0.40	2009
Local white matter geometry indices from diffusion tensor gradients.	0	0.34	2009
Neural Tractography Using an Unscented Kalman Filter	11	0.73	2009
Label space: a coupled multi-shape representation.	7	0.52	2008
Findings in schizophrenia by tract-oriented DT-MRI analysis.	2	0.44	2008
Segmenting images analytically in shape space	1	0.35	2008
Orientation distribution estimation for Q-ball imaging	2	0.49	2008
Global medical shape analysis using the Laplace-Beltrami spectrum.	37	1.59	2007
Outlier rejection for diffusion weighted imaging.	1	0.45	2007
On evaluating brain tissue classifiers without a ground truth.	32	1.87	2007
Fiber bundle estimation and parameterization.	2	0.46	2006
Detection and analysis of statistical differences in anatomical shape.	52	2.35	2005
Two methods for validating brain tissue classifiers.	10	1.12	2005
A unifying approach to registration, segmentation, and intensity correction	45	2.13	2005
A Digital Brain Atlas for Surgical Planning, Model-Driven Segmentation, and Teaching	88	19.67	1996