Polina Golland

Orcid: 0000-0003-2516-731X

Affiliations:
  • MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, USA


According to our database1, Polina Golland authored at least 201 papers between 1996 and 2024.

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Bibliography

2024
SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI.
IEEE Trans. Medical Imaging, November, 2024

Calibrating Expressions of Certainty.
CoRR, 2024

Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging.
CoRR, 2024

UniMo: Universal Motion Correction For Medical Images without Network Retraining.
CoRR, 2024

InterNeRF: Scaling Radiance Fields via Parameter Interpolation.
CoRR, 2024

FetalDiffusion: Pose-Controllable 3D Fetal MRI Synthesis with Conditional Diffusion Model.
CoRR, 2024

Diversity Measurement and Subset Selection for Instruction Tuning Datasets.
CoRR, 2024

AnyStar: Domain randomized universal star-convex 3D instance segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Geo-UNet: A Geometrically Constrained Neural Framework for Clinical-Grade Lumen Segmentation in Intravascular Ultrasound.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

SpaER: Learning Spatio-temporal Equivariant Representations for Fetal Brain Motion Tracking.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2024

Implicit Representations via Operator Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Intraoperative 2D/3D Image Registration via Differentiable X-Ray Rendering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Spatial-Intensity Transforms for Medical Image-to-Image Translation.
IEEE Trans. Medical Imaging, November, 2023

Accurate Bayesian segmentation of thalamic nuclei using diffusion MRI and an improved histological atlas.
NeuroImage, July, 2023

NeSVoR: Implicit Neural Representation for Slice-to-Volume Reconstruction in MRI.
IEEE Trans. Medical Imaging, June, 2023

Symmetric Volume Maps: Order-invariant Volumetric Mesh Correspondence with Free Boundary.
ACM Trans. Graph., 2023

Discretization Invariant Networks for Learning Maps between Neural Fields.
Trans. Mach. Learn. Res., 2023

SE(3)-Equivariant and Noise-Invariant 3D Motion Tracking in Medical Images.
CoRR, 2023

Shape-aware Segmentation of the Placenta in BOLD Fetal MRI Time Series.
CoRR, 2023

Dynamic Neural Fields for Learning Atlases of 4D Fetal MRI Time-series.
CoRR, 2023

Bidirectional Captioning for Clinically Accurate and Interpretable Models.
CoRR, 2023

Geometry Aware Field-to-field Transformations for 3D Semantic Segmentation.
CoRR, 2023

Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series.
CoRR, 2023

Interpolating between Images with Diffusion Models.
CoRR, 2023

Sample-Specific Debiasing for Better Image-Text Models.
Proceedings of the Machine Learning for Healthcare Conference, 2023

Data Consistent Deep Rigid MRI Motion Correction.
Proceedings of the Medical Imaging with Deep Learning, 2023

Domain-Agnostic Segmentation of Thalamic Nuclei from Joint Structural and Diffusion MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2023

Feature Selection for Malapposition Detection in Intravascular Ultrasound - A Comparative Study.
Proceedings of the Applications of Medical Artificial Intelligence, 2023

Boundary-Weighted Logit Consistency Improves Calibration of Segmentation Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Using Multiple Instance Learning to Build Multimodal Representations.
Proceedings of the Information Processing in Medical Imaging, 2023

2022
Volumetric Parameterization of the Placenta to a Flattened Template.
IEEE Trans. Medical Imaging, 2022

How Machine Learning is Powering Neuroimaging to Improve Brain Health.
Neuroinformatics, 2022

Learned iterative segmentation of highly variable anatomy from limited data: Applications to whole heart segmentation for congenital heart disease.
Medical Image Anal., 2022

Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets.
CoRR, 2022

Deep Learning on Implicit Neural Datasets.
CoRR, 2022

SUD: Supervision by Denoising for Medical Image Segmentation.
CoRR, 2022

Symmetric Volume Maps.
CoRR, 2022

SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

RadTex: Learning Efficient Radiograph Representations from Text Reports.
Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

Fast Auto-differentiable Digitally Reconstructed Radiographs for Solving Inverse Problems in Intraoperative Imaging.
Proceedings of the Clinical Image-Based Procedures - 11th Workshop, 2022

Automatic Segmentation of the Placenta in BOLD MRI Time Series.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2022

2021
Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast.
NeuroImage, 2021

Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels.
CoRR, 2021

Segmentation of Anatomical Layers and Artifacts in Intravascular Polarization Sensitive Optical Coherence Tomography Using Attending Physician and Boundary Cardinality Lost Terms.
CoRR, 2021

BrainPainter v2: Mouse Brain Visualization Software.
CoRR, 2021

Harmonization and the Worst Scanner Syndrome.
CoRR, 2021

Image Classification with Consistent Supporting Evidence.
Proceedings of the Machine Learning for Health, 2021

STRESS: Super-Resolution for Dynamic Fetal MRI Using Self-supervised Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Equivariant Filters for Efficient Tracking in 3D Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Multimodal Representation Learning via Maximization of Local Mutual Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images.
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

2020
Keypoint Transfer for Fast Whole-Body Segmentation.
IEEE Trans. Medical Imaging, 2020

Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast.
CoRR, 2020

Bayesian Image Reconstruction using Deep Generative Models.
CoRR, 2020

DEMI: Discriminative Estimator of Mutual Information.
CoRR, 2020

Deep Learning to Quantify Pulmonary Edema in Chest Radiographs.
CoRR, 2020

Joint Frequency- and Image-Space Learning for Fourier Imaging.
CoRR, 2020

A New Age of Computing and the Brain.
CoRR, 2020

PEP: Parameter Ensembling by Perturbation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Enhanced Detection of Fetal Pose in 3D MRI by Deep Reinforcement Learning with Physical Structure Priors on Anatomy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

3D Fetal Pose Estimation with Adaptive Variance and Conditional Generative Adversarial Network.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

Semi-supervised Learning for Fetal Brain MRI Quality Assessment with ROI Consistency.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Spatial-Intensity Transform GANs for High Fidelity Medical Image-to-Image Translation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A topological encoding convolutional neural network for segmentation of 3D multiphoton images of brain vasculature using persistent homology.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Medical Image Imputation From Image Collections.
IEEE Trans. Medical Imaging, 2019

Deformable MRI-Ultrasound registration using correlation-based attribute matching for brain shift correction: Accuracy and generality in multi-site data.
NeuroImage, 2019

BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes.
CoRR, 2019

Temporal Registration in Application to In-utero MRI Time Series.
CoRR, 2019

Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images.
CoRR, 2019

Fetal Pose Estimation in Volumetric MRI Using a 3D Convolution Neural Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

TADPOLE Challenge: Accurate Alzheimer's Disease Prediction Through Crowdsourced Forecasting of Future Data.
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019

Disease Knowledge Transfer Across Neurodegenerative Diseases.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

BrainPainter: A Software for the Visualisation of Brain Structures, Biomarkers and Associated Pathological Processes.
Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

Patient-Specific Conditional Joint Models of Shape, Image Features and Clinical Indicators.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Unsupervised Deep Learning for Bayesian Brain MRI Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Placental Flattening via Volumetric Parameterization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Joint Inference on Structural and Diffusion MRI for Sequence-Adaptive Bayesian Segmentation of Thalamic Nuclei with Probabilistic Atlases.
Proceedings of the Information Processing in Medical Imaging, 2019

2018
On the Ambiguity of Registration Uncertainty.
CoRR, 2018

Non-rigid registration of 3D ultrasound for neurosurgery using automatic feature detection and matching.
Int. J. Comput. Assist. Radiol. Surg., 2018

Using the variogram for vector outlier screening: application to feature-based image registration.
Int. J. Comput. Assist. Radiol. Surg., 2018

Efficient Laplace Approximation for Bayesian Registration Uncertainty Quantification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Iterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Deformable MRI-Ultrasound Registration via Attribute Matching and Mutual-Saliency Weighting for Image-Guided Neurosurgery.
Proceedings of the Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation, 2018

A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Efficient Descriptor-Based Segmentation of Parotid Glands With Nonlocal Means.
IEEE Trans. Biomed. Eng., 2017

Probabilistic modeling of anatomical variability using a low dimensional parameterization of diffeomorphisms.
Medical Image Anal., 2017

Fast Geodesic Regression for Population-Based Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Frequency Diffeomorphisms for Efficient Image Registration.
Proceedings of the Information Processing in Medical Imaging, 2017

Population Based Image Imputation.
Proceedings of the Information Processing in Medical Imaging, 2017

2016
A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation - With Application to Tumor and Stroke.
IEEE Trans. Medical Imaging, 2016

Statistical shape analysis: From landmarks to diffeomorphisms.
Medical Image Anal., 2016

Low-Dimensional Statistics of Anatomical Variability via Compact Representation of Image Deformations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Temporal Registration in In-Utero Volumetric MRI Time Series.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Patch-Based Discrete Registration of Clinical Brain Images.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2016

Unsupervised Discovery of Emphysema Subtypes in a Large Clinical Cohort.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

2015
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).
IEEE Trans. Medical Imaging, 2015

BrainPrint: A discriminative characterization of brain morphology.
NeuroImage, 2015

MEDIA special issue on MICCAI 2014.
Medical Image Anal., 2015

Diverse Landmark Sampling from Determinantal Point Processes for Scalable Manifold Learning.
CoRR, 2015

Interactive Whole-Heart Segmentation in Congenital Heart Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Predicting Activation Across Individuals with Resting-State Functional Connectivity Based Multi-Atlas Label Fusion.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Predictive Modeling of Anatomy with Genetic and Clinical Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

A Latent Source Model for Patch-Based Image Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Keypoint Transfer Segmentation.
Proceedings of the Information Processing in Medical Imaging, 2015

Sampling from Determinantal Point Processes for Scalable Manifold Learning.
Proceedings of the Information Processing in Medical Imaging, 2015

Generative Method to Discover Genetically Driven Image Biomarkers.
Proceedings of the Information Processing in Medical Imaging, 2015

2014
Coping with confounds in multivoxel pattern analysis: What should we do about reaction time differences? A comment on Todd, Nystrom & Cohen 2013.
NeuroImage, 2014

Decoupling function and anatomy in atlases of functional connectivity patterns: Language mapping in tumor patients.
NeuroImage, 2014

Diversifying Sparsity Using Variational Determinantal Point Processes.
CoRR, 2014

Gaussian Process Interpolation for Uncertainty Estimation in Image Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

BrainPrint : Identifying Subjects by Their Brain.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Atlas-Based Under-Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Segmentation of Cerebrovascular Pathologies in Stroke Patients with Spatial and Shape Priors.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Spherical Topic Models for Imaging Phenotype Discovery in Genetic Studies.
Proceedings of the Bayesian and grAphical Models for Biomedical Imaging, 2014

2013
From Connectivity Models to Region Labels: Identifying Foci of a Neurological Disorder.
IEEE Trans. Medical Imaging, 2013

Editorial for the MEDIA special issue on MICCAI 2012.
Medical Image Anal., 2013

Contour-Driven Regression for Label Inference in Atlas-Based Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Detecting Epileptic Regions Based on Global Brain Connectivity Patterns.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Quantification and Analysis of Large Multimodal Clinical Image Studies: Application to Stroke.
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

Sparse Projections of Medical Images onto Manifolds.
Proceedings of the Information Processing in Medical Imaging, 2013

Joint Modeling of Imaging and Genetics.
Proceedings of the Information Processing in Medical Imaging, 2013

2012
Joint Modeling of Anatomical and Functional Connectivity for Population Studies.
IEEE Trans. Medical Imaging, 2012

Search for patterns of functional specificity in the brain: A nonparametric hierarchical Bayesian model for group fMRI data.
NeuroImage, 2012

Spectral Label Fusion.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

From Brain Connectivity Models to Identifying Foci of a Neurological Disorder.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2011
Detecting stable distributed patterns of brain activation using Gini contrast.
NeuroImage, 2011

Deformation-Invariant Sparse Coding for Modeling Spatial Variability of Functional Patterns in the Brain.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

Segmentation of Nerve Bundles and Ganglia in Spine MRI Using Particle Filters.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

A Generative Approach for Image-Based Modeling of Tumor Growth.
Proceedings of the Information Processing in Medical Imaging, 2011

Learning an Atlas of a Cognitive Process in Its Functional Geometry.
Proceedings of the Information Processing in Medical Imaging, 2011

Modeling anatomical heterogeneity in populations.
Proceedings of the IEEE International Conference on Acoustics, 2011

Ranking of stopping criteria for log domain diffeomorphic demons application in clinical radiation therapy.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Learning Task-Optimal Registration Cost Functions for Localizing Cytoarchitecture and Function in the Cerebral Cortex.
IEEE Trans. Medical Imaging, 2010

Spherical Demons: Fast Diffeomorphic Landmark-Free Surface Registration.
IEEE Trans. Medical Imaging, 2010

A Generative Model for Image Segmentation Based on Label Fusion.
IEEE Trans. Medical Imaging, 2010

Multimodal functional imaging using fMRI-informed regional EEG/MEG source estimation.
NeuroImage, 2010

Discovering structure in the space of fMRI selectivity profiles.
NeuroImage, 2010

Segmentation of image ensembles via latent atlases.
Medical Image Anal., 2010

Combining spatial priors and anatomical information for fMRI detection.
Medical Image Anal., 2010

Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Functional Geometry Alignment and Localization of Brain Areas.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Joint Generative Model for fMRI/DWI and Its Application to Population Studies.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Morphology-Guided Graph Search for Untangling Objects: <i>C. elegans</i> Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

A Generative Model for Brain Tumor Segmentation in Multi-Modal Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Robust Atlas-Based Segmentation of Highly Variable Anatomy: Left Atrium Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart, 2010

Resolving clustered worms via probabilistic shape models.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Robust feature selection in resting-state fMRI connectivity based on population studies.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

Nonparametric hierarchical Bayesian model for functional brain parcellation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
DT-REFinD: Diffusion Tensor Registration With Exact Finite-Strain Differential.
IEEE Trans. Medical Imaging, 2009

Image-Driven Population Analysis Through Mixture Modeling.
IEEE Trans. Medical Imaging, 2009

A distributed spatio-temporal EEG/MEG inverse solver.
NeuroImage, 2009

Task-Optimal Registration Cost Functions.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Asymmetric Image-Template Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Supervised Nonparametric Image Parcellation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Joint Segmentation of Image Ensembles via Latent Atlases.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Modeling Adaptation Effects in fMRI Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Multimodal Functional Imaging Using fMRI-Informed Regional EEG/MEG Source Estimation.
Proceedings of the Information Processing in Medical Imaging, 2009

Exploratory fMRI Analysis without Spatial Normalization.
Proceedings of the Information Processing in Medical Imaging, 2009

Exploring functional connectivity in fMRI via clustering.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
On the Construction of Invertible Filter Banks on the 2-Sphere.
IEEE Trans. Image Process., 2008

Effects of registration regularization and atlas sharpness on segmentation accuracy.
Medical Image Anal., 2008

CellProfiler Analyst: data exploration and analysis software for complex image-based screens.
BMC Bioinform., 2008

Shape Analysis with Overcomplete Spherical Wavelets.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Spherical Demons: Fast Surface Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Discovering Modes of an Image Population through Mixture Modeling.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Model-Based Segmentation of Hippocampal Subfields in Ultra-High Resolution In Vivo MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Discovering Structure in the Space of Activation Profiles in fMRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Analysis of Surfaces Using Constrained Regression Models.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

DTI registration with exact finite-strain differential.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Spatial patterns and functional profiles for discovering structure in fMRI data.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007
Cortical Surface Shape Analysis Based on Spherical Wavelets.
IEEE Trans. Medical Imaging, 2007

Guest Editorial Special Issue on Mathematical Modeling in Biomedical Image Analysis.
IEEE Trans. Medical Imaging, 2007

Convex Clustering with Exemplar-Based Models.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Sources of Variability in MEG.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Detection of Spatial Activation Patterns as Unsupervised Segmentation of fMRI Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Cortical Folding Development Study based on Over-Complete Spherical Wavelets.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

What Data to Co-register for Computing Atlases.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2006
Shape-based Discrimination and Classification of Cortical Surfaces.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Invertible Filter Banks on the 2-Sphere.
Proceedings of the International Conference on Image Processing, 2006

Cortical Surface Shape Analysis Based on Spherical Wavelet Transformation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

2005
Detection and analysis of statistical differences in anatomical shape.
Medical Image Anal., 2005

From Spatial Regularization to Anatomical Priors in fMRI Analysis.
Proceedings of the Information Processing in Medical Imaging, 2005

Voronoi-Based Segmentation of Cells on Image Manifolds.
Proceedings of the Computer Vision for Biomedical Image Applications, 2005

Analyzing Anatomical Structures: Leveraging Multiple Sources of Knowledge.
Proceedings of the Computer Vision for Biomedical Image Applications, 2005

Permutation Tests for Classification.
Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005

2003
Permutation Tests for Classification: Towards Statistical Significance in Image-Based Studies.
Proceedings of the Information Processing in Medical Imaging, 2003

2002
Performance Issues in Shape Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2002

Discriminative Analysis for Image-Based Studies.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2002

2001
Statistical shape analysis of anatomical structures.
PhD thesis, 2001

Discriminative Direction for Kernel Classifiers.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Deformation Analysis for Shape Based Classification.
Proceedings of the Information Processing in Medical Imaging, 2001

2000
Small Sample Size Learning for Shape Analysis of Anatomical Structures.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2000

Fixed Topology Skeletons.
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

1999
Stereo Matching with Transparency and Matting.
Int. J. Comput. Vis., 1999

Statistical Shape Analysis Using Fixed Topology Skeletons: Corpus Callosum Study.
Proceedings of the Information Processing in Medical Imaging, 1999

1998
AnatomyBrowser: A Framework for Integration of Medical Information.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1998

1997
Motion from Color.
Comput. Vis. Image Underst., 1997

1996
Why R.G.B.? Or How to Design Color Displays for Martians.
CVGIP Graph. Model. Image Process., 1996


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