Polina Golland

Summary

Affiliation: Massachusetts Institute of Technology
Country: USA

Publications

  1. ncbi request reprint AnatomyBrowser: A novel approach to visualization and integration of medical information
    P Golland
    Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
    Comput Aided Surg 4:129-43. 1999
  2. ncbi request reprint Permutation tests for classification: towards statistical significance in image-based studies
    Polina Golland
    Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
    Inf Process Med Imaging 18:330-41. 2003
  3. pmc Segmentation of image ensembles via latent atlases
    Tammy Riklin-Raviv
    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, USA
    Med Image Anal 14:654-65. 2010
  4. pmc Learning task-optimal registration cost functions for localizing cytoarchitecture and function in the cerebral cortex
    B T Thomas Yeo
    Computer Science and Artificial Intelligence Laboratory, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
    IEEE Trans Med Imaging 29:1424-41. 2010
  5. pmc A generative model for brain tumor segmentation in multi-modal images
    Bjoern H Menze
    1 Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, USA
    Med Image Comput Comput Assist Interv 13:151-9. 2010
  6. pmc Scoring diverse cellular morphologies in image-based screens with iterative feedback and machine learning
    Thouis R Jones
    The Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA 02142, USA
    Proc Natl Acad Sci U S A 106:1826-31. 2009
  7. pmc DT-REFinD: diffusion tensor registration with exact finite-strain differential
    B T Thomas Yeo
    Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
    IEEE Trans Med Imaging 28:1914-28. 2009
  8. pmc Combining spatial priors and anatomical information for fMRI detection
    Wanmei Ou
    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, United States
    Med Image Anal 14:318-31. 2010
  9. pmc Multimodal functional imaging using fMRI-informed regional EEG/MEG source estimation
    Wanmei Ou
    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
    Neuroimage 52:97-108. 2010
  10. pmc CellProfiler Analyst: data exploration and analysis software for complex image-based screens
    Thouis R Jones
    Imaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
    BMC Bioinformatics 9:482. 2008

Detail Information

Publications43

  1. ncbi request reprint AnatomyBrowser: A novel approach to visualization and integration of medical information
    P Golland
    Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
    Comput Aided Surg 4:129-43. 1999
    ..We demonstrate several possible applications for AnatomyBrowser, including interactive anatomy atlases, surgery planning, and assistance in segmentation...
  2. ncbi request reprint Permutation tests for classification: towards statistical significance in image-based studies
    Polina Golland
    Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
    Inf Process Med Imaging 18:330-41. 2003
    ..We demonstrate the method on examples of both structural and functional neuroimaging studies...
  3. pmc Segmentation of image ensembles via latent atlases
    Tammy Riklin-Raviv
    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, USA
    Med Image Anal 14:654-65. 2010
    ..The quality of the results supports the latent atlas as a promising alternative when existing atlases are not compatible with the images to be segmented...
  4. pmc Learning task-optimal registration cost functions for localizing cytoarchitecture and function in the cerebral cortex
    B T Thomas Yeo
    Computer Science and Artificial Intelligence Laboratory, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
    IEEE Trans Med Imaging 29:1424-41. 2010
    ..We demonstrate state-of-the-art localization results in both histological and functional magnetic resonance imaging data sets...
  5. pmc A generative model for brain tumor segmentation in multi-modal images
    Bjoern H Menze
    1 Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, USA
    Med Image Comput Comput Assist Interv 13:151-9. 2010
    ..We present experiments on 25 glioma patient data sets, demonstrating significant improvement over the traditional multivariate tumor segmentation...
  6. pmc Scoring diverse cellular morphologies in image-based screens with iterative feedback and machine learning
    Thouis R Jones
    The Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA 02142, USA
    Proc Natl Acad Sci U S A 106:1826-31. 2009
    ..By using this approach, we successfully scored images in RNA interference screens in 2 organisms for the prevalence of 15 diverse cellular morphologies, some of which were previously intractable...
  7. pmc DT-REFinD: diffusion tensor registration with exact finite-strain differential
    B T Thomas Yeo
    Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
    IEEE Trans Med Imaging 28:1914-28. 2009
    ..The improvements persist even when a different reorientation scheme, preservation of principal directions, is used to apply the final deformations...
  8. pmc Combining spatial priors and anatomical information for fMRI detection
    Wanmei Ou
    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, United States
    Med Image Anal 14:318-31. 2010
    ..The anatomically guided MRF regularizer enables significant reduction of the scan length while maintaining the quality of the resulting activation maps...
  9. pmc Multimodal functional imaging using fMRI-informed regional EEG/MEG source estimation
    Wanmei Ou
    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
    Neuroimage 52:97-108. 2010
    ..Analysis using human E/MEG-fMRI data reveals that FIRE significantly reduces the ambiguities in source localization present in the minimum-norm estimates, and that it accurately captures activation timing in adjacent functional regions...
  10. pmc CellProfiler Analyst: data exploration and analysis software for complex image-based screens
    Thouis R Jones
    Imaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
    BMC Bioinformatics 9:482. 2008
    ..Image-based screens can produce hundreds of measured features for each of hundreds of millions of individual cells in a single experiment...
  11. pmc A generative approach for image-based modeling of tumor growth
    Bjoern H Menze
    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, USA
    Inf Process Med Imaging 22:735-47. 2011
    ..The approach can be used for integrating information from different multi-modal imaging protocols and can easily be adapted to other tumor growth models...
  12. pmc From brain connectivity models to identifying foci of a neurological disorder
    Archana Venkataraman
    MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
    Med Image Comput Comput Assist Interv 15:715-22. 2012
    ..We employ the variational EM algorithm to fit the model and to identify both the afflicted regions and the differences in connectivity induced by the disorder. We demonstrate our method on a population study of schizophrenia...
  13. pmc Learning an atlas of a cognitive process in its functional geometry
    Georg Langs
    Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA
    Inf Process Med Imaging 22:135-46. 2011
    ..We derive an algorithm for fitting this generative model to the observed data in a population. Our results in a language fMRI study demonstrate that the method identifies coherent and functionally equivalent regions across subjects...
  14. pmc Detecting epileptic regions based on global brain connectivity patterns
    Andrew Sweet
    MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
    Med Image Comput Comput Assist Interv 16:98-105. 2013
    ..This suggests the promise of our approach for pre-surgical planning in epilepsy...
  15. pmc Search for patterns of functional specificity in the brain: a nonparametric hierarchical Bayesian model for group fMRI data
    Danial Lashkari
    Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA 02139, USA
    Neuroimage 59:1348-68. 2012
    ..In empirical comparisons with previously proposed exploratory methods, our results appear superior in capturing the structure in the space of visual categories of stimuli...
  16. pmc A generative model for image segmentation based on label fusion
    Mert R Sabuncu
    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
    IEEE Trans Med Imaging 29:1714-29. 2010
    ..In a second experiment, we use brain MRI scans of 282 subjects to demonstrate that the proposed segmentation tool is sufficiently sensitive to robustly detect hippocampal volume changes in a study of aging and Alzheimer's Disease...
  17. pmc Effects of registration regularization and atlas sharpness on segmentation accuracy
    B T Thomas Yeo
    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
    Med Image Anal 12:603-15. 2008
    ..Our experiments also suggest that segmentation accuracy is tolerant up to a small mismatch between atlas sharpness and warp smoothness...
  18. pmc Whole brain resting state functional connectivity abnormalities in schizophrenia
    Archana Venkataraman
    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, United States
    Schizophr Res 139:7-12. 2012
    ..Relatively little has been done to understand global brain connectivity in schizophrenia...
  19. pmc Joint generative model for fMRI/DWI and its application to population studies
    Archana Venkataraman
    MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
    Med Image Comput Comput Assist Interv 13:191-9. 2010
    ..The resulting algorithm identifies differences in latent connectivity between the groups. We demonstrate our method on a study of normal controls and schizophrenia patients...
  20. doi request reprint Joint modeling of anatomical and functional connectivity for population studies
    Archana Venkataraman
    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
    IEEE Trans Med Imaging 31:164-82. 2012
    ..We further establish that our model learns predictive differences between the control and clinical populations, and that combining the two modalities yields better results than considering each one in isolation...
  21. pmc Image-driven population analysis through mixture modeling
    Mert R Sabuncu
    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
    IEEE Trans Med Imaging 28:1473-87. 2009
    ..The algorithm produces two modes, one of which contains dementia patients only. These results suggest that the algorithm can be used to discover subpopulations that correspond to interesting structural or functional "modes."..
  22. pmc On the construction of invertible filter banks on the 2-sphere
    Boon Thye Thomas Yeo
    Department of Electrical Engineering and Computer Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
    IEEE Trans Image Process 17:283-300. 2008
    ..We conclude by examining the use of a self-invertible spherical steerable pyramid in a denoising experiment and discussing the computational complexity of the filtering framework...
  23. pmc Spherical demons: fast diffeomorphic landmark-free surface registration
    B T Thomas Yeo
    Computer Science and Artificial Intelligence Laboratory, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
    IEEE Trans Med Imaging 29:650-68. 2010
    ..We validate the technique in two different applications that use registration to transfer segmentation labels onto a new image 1) parcellation of in vivo cortical surfaces and 2) Brodmann area localization in ex vivo cortical surfaces...
  24. pmc Detecting stable distributed patterns of brain activation using Gini contrast
    Georg Langs
    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
    Neuroimage 56:497-507. 2011
    ..Moreover, we demonstrate higher classification accuracy and stability of the detected spatial patterns across runs than the traditional methods such as the recursive feature elimination used in conjunction with support vector machines...
  25. pmc A distributed spatio-temporal EEG/MEG inverse solver
    Wanmei Ou
    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
    Neuroimage 44:932-46. 2009
    ..Furthermore, the l(1)l(2)-norm solver achieves fewer false positives and a better representation of the source locations than the conventional l(2) minimum-norm estimates...
  26. pmc Task-optimal registration cost functions
    B T Thomas Yeo
    Computer Science and Artificial Intelligence Laboratory, MIT, USA
    Med Image Comput Comput Assist Interv 12:598-606. 2009
    ..We demonstrate state-of-the-art localization of V1, V2, BA44 and BA45...
  27. pmc Spherical demons: fast surface registration
    B T Thomas Yeo
    Computer Science and Artificial Intelligence Laboratory, MIT, USA
    Med Image Comput Comput Assist Interv 11:745-53. 2008
    ..We validate the technique in two different settings: (1) parcellation in a set of in-vivo cortical surfaces and (2) Brodmann area localization in ex-vivo cortical surfaces...
  28. pmc Multimodal functional imaging using fMRI-informed regional EEG/MEG source estimation
    Wanmei Ou
    Computer Science and Artificial Intelligence Laboratory, MIT, USA
    Conf Proc IEEE Eng Med Biol Soc 2009:1926-9. 2009
    ..Comparisons with several joint fMRI-E/MEG algorithms demonstrate robustness of FIRE in the presence of sources silent to either fMRI or E/MEG measurements...
  29. pmc Multimodal functional imaging using fMRI-informed regional EEG/MEG source estimation
    Wanmei Oun
    Computer Science and Artificial Intelligence Laboratory, MIT, USA
    Inf Process Med Imaging 21:88-100. 2009
    ..Comparisons with several joint fMRI-E/MEG algorithms demonstrate robustness of FIRE in the presence of sources silent to either fMRI or E/MEG measurements...
  30. pmc Shape analysis with overcomplete spherical wavelets
    B T Thomas Yeo
    Computer Science and Artificial Intelligence Laboratory, MIT, USA
    Med Image Comput Comput Assist Interv 11:468-76. 2008
    ..Our experiments verify in a quantitative fashion existing qualitative theories of neuroanatomical development. Furthermore, the experiments reveal novel insights into neuro-anatomical development not previously documented...
  31. pmc A distributed spatio-temporal EEG/MEG inverse solver
    Wanmei Ou
    Computer Science and Artificial Intelligence Laboratory, MIT, USA
    Med Image Comput Comput Assist Interv 11:26-34. 2008
    ..Furthermore, the l1l2-norm solver achieves fewer false positives and a better representation of the source locations than the conventional l2 minimum-norm estimates...
  32. ncbi request reprint Cortical surface shape analysis based on spherical wavelets
    Peng Yu
    Harvard MIT Division of Health Sciences and Technology HST, Massachusetts Institute of Technology MIT, Cambridge, MA 02139 USA
    IEEE Trans Med Imaging 26:582-97. 2007
    ..The cortical folding development model provides quantitative anatomic information regarding macroscopic cortical folding development and may be of potential use as a biomarker for early diagnosis of neurologic deficits in newborns...
  33. pmc An image analysis toolbox for high-throughput C. elegans assays
    Carolina Wählby
    Imaging Platform, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts, USA
    Nat Methods 9:714-6. 2012
    ..elegans for the study of diverse biological pathways that are relevant to human disease...
  34. ncbi request reprint From spatial regularization to anatomical priors in fMRI analysis
    Wanmei Ou
    Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA
    Inf Process Med Imaging 19:88-100. 2005
    ....
  35. pmc Segmentation of nerve bundles and ganglia in spine MRI using particle filters
    Adrian Dalca
    MIT Computer Science and Artificial Inteligence, Cambridge, MA, USA
    Med Image Comput Comput Assist Interv 14:537-45. 2011
    ..We demonstrate accurate and fast nerve tracking and compare it to expert manual segmentation...
  36. pmc Discovering structure in the space of fMRI selectivity profiles
    Danial Lashkari
    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
    Neuroimage 50:1085-98. 2010
    ..We validate this model in the context of category selectivity in visual cortex, demonstrating good agreement with the findings based on prior hypothesis-driven methods...
  37. pmc CellProfiler: image analysis software for identifying and quantifying cell phenotypes
    Anne E Carpenter
    Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA
    Genome Biol 7:R100. 2006
    ....
  38. pmc Detection and analysis of statistical differences in anatomical shape
    Polina Golland
    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
    Med Image Anal 9:69-86. 2005
    ....
  39. ncbi request reprint Data-driven clustering reveals a fundamental subdivision of the human cortex into two global systems
    Yulia Golland
    Department of Psychology, Hebrew University of Jerusalem, Jerusalem, Israel
    Neuropsychologia 46:540-53. 2008
    ..These new clustering-based results confirm that the intrinsic-extrinsic subdivision constitutes a fundamental cortical divide...
  40. ncbi request reprint Sources of variability in MEG
    Wanmei Ou
    Department of Computer Science and Artificial Intelligence Laboratory, MIT, USA
    Med Image Comput Comput Assist Interv 10:751-9. 2007
    ..Compared with deflection peak times, deflection magnitudes have larger variation across sites; modeling of this variability is necessary for data pooling...
  41. ncbi request reprint Detection of spatial activation patterns as unsupervised segmentation of fMRI data
    Polina Golland
    Computer Science and Artificial Intelligence Laboratory, MIT, USA
    Med Image Comput Comput Assist Interv 10:110-8. 2007
    ..Our experimental results indicate that the functional segmentation provides a robust, anatomically meaningful and consistent model for functional connectivity in fMRI...
  42. pmc Effects of registration regularization and atlas sharpness on segmentation accuracy
    B T Thomas Yeo
    Computer Science and Artificial Intelligence Lab, MIT, USA
    Med Image Comput Comput Assist Interv 10:683-91. 2007
    ..The optimal parcellation in all three cases corresponds to a unique balance of atlas "sharpness" and warp regularization that yield statistically significant improvements over the previously demonstrated parcellation results...
  43. pmc Shape differences in the corpus callosum in first-episode schizophrenia and first-episode psychotic affective disorder
    Melissa Frumin
    Consolidated Department of Psychiatry, Harvard Medical School and VA Boston Healthcare System Brockton Division, 02301, USA
    Am J Psychiatry 159:866-8. 2002
    ..Corpus callosum shape deformation, therefore, may reflect a midline neurodevelopmental abnormality...