Bennett A. Landman

According to our database1, Bennett A. Landman authored at least 194 papers between 2006 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Time-distanced gates in long short-term memory networks.
Medical Image Anal., 2020

Anatomical context protects deep learning from adversarial perturbations in medical imaging.
Neurocomputing, 2020

Multi-path x-D recurrent neural networks for collaborative image classification.
Neurocomputing, 2020

Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk.
CoRR, 2020

Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking.
CoRR, 2020

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge.
CoRR, 2020

Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning.
CoRR, 2020

CircleNet: Anchor-free Detection with Circle Representation.
CoRR, 2020

The Future of Digital Health with Federated Learning.
CoRR, 2020

The Value of Nullspace Tuning Using Partial Label Information.
CoRR, 2020

Internal-transfer weighting of multi-task learning for lung cancer detection.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Outlier guided optimization of abdominal segmentation.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Validation and optimization of multi-organ segmentation on clinical imaging archives.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Contrast phase classification with a generative adversarial network.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Deep learning estimation of multi-tissue constrained spherical deconvolution with limited single shell DW-MRI.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Semi-supervised multi-organ segmentation through quality assurance supervision.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

MRI correlates of chronic symptoms in mild traumatic brain injury.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Deep multi-task prediction of lung cancer and cancer-free progression from censored heterogenous clinical imaging.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Generalizing deep whole brain segmentation for pediatric and post-contrast MRI with augmented transfer learning.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

CircleNet: Anchor-Free Glomerulus Detection with Circle Representation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records.
Proceedings of the Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures, 2020

Federated Gradient Averaging for Multi-Site Training with Momentum-Based Optimizers.
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

Semi-supervised Machine Learning with MixMatch and Equivalence Classes.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

Automatic Labeling of Cortical Sulci Using Spherical Convolutional Neural Networks in a Developmental Cohort.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth.
IEEE Trans. Medical Imaging, 2019

Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks.
IEEE Trans. Medical Imaging, 2019

Electronic Medical Record Context Signatures Improve Diagnostic Classification Using Medical Image Computing.
IEEE J. Biomed. Health Informatics, 2019

A Web-Based Atlas Combining MRI and Histology of the Squirrel Monkey Brain.
Neuroinformatics, 2019

Vascular burden and APOE ε4 are associated with white matter microstructural decline in cognitively normal older adults.
NeuroImage, 2019

Limits to anatomical accuracy of diffusion tractography using modern approaches.
NeuroImage, 2019

Diffusion MRI microstructural models in the cervical spinal cord - Application, normative values, and correlations with histological analysis.
NeuroImage, 2019

3D whole brain segmentation using spatially localized atlas network tiles.
NeuroImage, 2019

Hierarchical spherical deformation for cortical surface registration.
Medical Image Anal., 2019

Correction to: Collaborative and Reproducible Research: Goals, Challenges, and Strategies.
J. Digit. Imaging, 2019

Assessment of Orbital Computed Tomography (CT) Imaging Biomarkers in Patients with Thyroid Eye Disease.
J. Digit. Imaging, 2019

On-the-fly scheduling versus reservation-based scheduling for unpredictable workflows.
Int. J. High Perform. Comput. Appl., 2019

Stochastic tissue window normalization of deep learning on computed tomography.
CoRR, 2019

Deep Learning Captures More Accurate Diffusion Fiber Orientations Distributions than Constrained Spherical Deconvolution.
CoRR, 2019

Methods and open-source toolkit for analyzing and visualizing challenge results.
CoRR, 2019

BIAS: Transparent reporting of biomedical image analysis challenges.
CoRR, 2019

Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE.
CoRR, 2019

Fully Automatic Liver Attenuation Estimation Combing CNN Segmentation and Morphological Operations.
CoRR, 2019

A large annotated medical image dataset for the development and evaluation of segmentation algorithms.
CoRR, 2019

Acceleration of spleen segmentation with end-to-end deep learning method and automated pipeline.
Comput. Biol. Medicine, 2019

Reproducibility evaluation of SLANT whole brain segmentation across clinical magnetic resonance imaging protocols.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Lung cancer detection using co-learning from chest CT images and clinical demographics.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Improving splenomegaly segmentation by learning from heterogeneous multi-source labels.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Harmonizing 1.5T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Montage based 3D medical image retrieval from traumatic brain injury cohort using deep convolutional neural network.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Coronary calcium detection using 3D attention identical dual deep network based on weakly supervised learning.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Towards machine learning prediction of deep brain stimulation (DBS) intra-operative efficacy maps.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Cortical Surface Parcellation Using Spherical Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Enabling Multi-shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Contextual Deep Regression Network for Volume Estimation in Orbital CT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Quantitative assessment of dMRI-based dentate-rubro-thalamic tractography in squirrel monkey.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

Learning 3D White Matter Microstructure from 2D Histology.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
TRACE: A Topological Graph Representation for Automatic Sulcal Curve Extraction.
IEEE Trans. Medical Imaging, 2018

Robust Multicontrast MRI Spleen Segmentation for Splenomegaly Using Multi-Atlas Segmentation.
IEEE Trans. Biomed. Eng., 2018

Histological validation of diffusion MRI fiber orientation distributions and dispersion.
NeuroImage, 2018

Tests of cortical parcellation based on white matter connectivity using diffusion tensor imaging.
NeuroImage, 2018

Collaborative and Reproducible Research: Goals, Challenges, and Strategies.
J. Digit. Imaging, 2018

Towards Portable Large-Scale Image Processing with High-Performance Computing.
J. Digit. Imaging, 2018

Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning.
CoRR, 2018

Data-driven Probabilistic Atlases Capture Whole-brain Individual Variation.
CoRR, 2018

Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions.
CoRR, 2018

Constructing statistically unbiased cortical surface templates using feature-space covariance.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

SHARD: spherical harmonic-based robust outlier detection for HARDI methods.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Sulcal depth-based cortical shape analysis in normal healthy control and schizophrenia groups.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Improved stability of whole brain surface parcellation with multi-atlas segmentation.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Evaluation of inter-site bias and variance in diffusion-weighted MRI.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Quadratic: quality of dice in registration circuits.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Fully convolutional neural networks improve abdominal organ segmentation.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Learning implicit brain MRI manifolds with deep learning.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018


Hierarchical Spherical Deformation for Shape Correspondence.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Multi-atlas Parcellation in the Presence of Lesions: Application to Multiple Sclerosis.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2018

Tests of clustering thalamic nuclei based on various dMRI models in the squirrel monkey brain.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

Adversarial synthesis learning enables segmentation without target modality ground truth.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Technology Enablers for Big Data, Multi-Stage Analysis in Medical Image Processing.
Proceedings of the IEEE International Conference on Big Data, 2018

2017
The VALiDATe29 MRI Based Multi-Channel Atlas of the Squirrel Monkey Brain.
Neuroinformatics, 2017

Convergent individual differences in visual cortices, but not the amygdala across standard amygdalar fMRI probe tasks.
NeuroImage, 2017

Spinal cord grey matter segmentation challenge.
NeuroImage, 2017

A Data Colocation Grid Framework for Big Data Medical Image Processing - Backend Design.
CoRR, 2017

Structural-functional relationships between eye orbital imaging biomarkers and clinical visual assessments.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Effects of b-value and number of gradient directions on diffusion MRI measures obtained with Q-ball imaging.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Multi-scale hippocampal parcellation improves atlas-based segmentation accuracy.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Multi-modal and targeted imaging improves automated mid-brain segmentation.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Comparison of multi-fiber reproducibility of PAS-MRI and Q-ball with empirical multiple b-value HARDI.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Multi-atlas spleen segmentation on CT using adaptive context learning.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Multi-atlas segmentation enables robust multi-contrast MRI spleen segmentation for splenomegaly.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Improved automatic optic nerve radius estimation from high resolution MRI.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Gray Matter Surface Based Spatial Statistics (GS-BSS) in Diffusion Microstructure.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

4D Multi-atlas Label Fusion Using Longitudinal Images.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

Automated Characterization of Pyelocalyceal Anatomy Using CT Urograms to Aid in Management of Kidney Stones.
Proceedings of the Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures, 2017

Automated Characterization of Body Composition and Frailty with Clinically Acquired CT.
Proceedings of the Computational Methods and Clinical Applications in Musculoskeletal Imaging, 2017

EMR-Radiological Phenotypes in Diseases of the Optic Nerve and Their Association with Visual Function.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

Deep learning for brain tumor classification.
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017

Cloud Engineering Principles and Technology Enablers for Medical Image Processing-as-a-Service.
Proceedings of the 2017 IEEE International Conference on Cloud Engineering, 2017

Algorithmic Enhancements to Big Data Computing Frameworks for Medical Image Processing.
Proceedings of the 2017 IEEE International Conference on Cloud Engineering, 2017

2016
Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT.
IEEE Trans. Biomed. Eng., 2016

Comparison of 3D orientation distribution functions measured with confocal microscopy and diffusion MRI.
NeuroImage, 2016

Consistent cortical reconstruction and multi-atlas brain segmentation.
NeuroImage, 2016

Vanderbilt University Institute of Imaging Science Center for Computational Imaging XNAT: A multimodal data archive and processing environment.
NeuroImage, 2016

Evaluation of body-wise and organ-wise registrations for abdominal organs.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Whole abdominal wall segmentation using Augmented Active Shape Models (AASM) with multi-atlas label fusion and level set.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Improving cerebellar segmentation with statistical fusion.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

On the fallacy of quantitative segmentation for T1-weighted MRI.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Combining multi-atlas segmentation with brain surface estimation.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

A 3D high resolution ex vivo white matter atlas of the common squirrel monkey (Saimiri sciureus) based on diffusion tensor imaging.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

A Bayesian framework for early risk prediction in traumatic brain injury.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Structural functional associations of the orbit in thyroid eye disease: Kalman filters to track extraocular rectal muscles.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Mapping Lifetime Brain Volumetry with Covariate-Adjusted Restricted Cubic Spline Regression from Cross-Sectional Multi-site MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015
Region of interest correction factors improve reliability of diffusion imaging measures within and across scanners and field strengths.
NeuroImage, 2015

Heritability of fractional anisotropy in human white matter: A comparison of Human Connectome Project and ENIGMA-DTI data.
NeuroImage, 2015

Efficient multi-atlas abdominal segmentation on clinically acquired CT with SIMPLE context learning.
Medical Image Anal., 2015

Multi-atlas learner fusion: An efficient segmentation approach for large-scale data.
Medical Image Anal., 2015

Efficient abdominal segmentation on clinically acquired CT with SIMPLE context learning.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

Revealing latent value of clinically acquired CTs of traumatic brain injury through multi-atlas segmentation in a retrospective study of 1, 003 with external cross-validation.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

Bootstrapping white matter segmentation, Eve++.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

Evaluation of five image registration tools for abdominal CT: pitfalls and opportunities with soft anatomy.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

Constructing a statistical atlas of the radii of the optic nerve and cerebrospinal fluid sheath in young healthy adults.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

Erratum: Integrating histology and MRI in the first digital brain of common squirrel monkey, Saimiri sciureus.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015

Integrating histology and MRI in the first digital brain of common squirrel monkey, Saimiri sciureus.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015

Toward content-based image retrieval with deep convolutional neural networks.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015

Multi-atlas segmentation for abdominal organs with Gaussian mixture models.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015

2014
Evaluation of Statistical Inference on Empirical Resting State fMRI.
IEEE Trans. Biomed. Eng., 2014

Multisurgeon, Multisite Validation of a Trajectory Planning Algorithm for Deep Brain Stimulation Procedures.
IEEE Trans. Biomed. Eng., 2014

Validating DICOM Transcoding with an Open Multi-Format Resource.
Neuroinformatics, 2014

Resource Estimation in High Performance Medical Image Computing.
Neuroinformatics, 2014

Multi-site study of additive genetic effects on fractional anisotropy of cerebral white matter: Comparing meta and megaanalytical approaches for data pooling.
NeuroImage, 2014

Corrigendum to "Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: A pilot project of the ENIGMA-DTI working group" [NeuroImage 81 (2013) 455-469].
NeuroImage, 2014

Hierarchical performance estimation in the statistical label fusion framework.
Medical Image Anal., 2014

Groupwise multi-atlas segmentation of the spinal cord's internal structure.
Medical Image Anal., 2014

Shape-constrained multi-atlas segmentation of spleen in CT.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Robust optic nerve segmentation on clinically acquired CT.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

On study design in neuroimaging heritability analyses.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Applying the algorithm "assessing quality using image registration circuits" (AQUIRC) to multi-atlas segmentation.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Statistical label fusion with hierarchical performance models.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

SIMPLE Is a Good Idea (and Better with Context Learning).
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014


2013
System for Integrated Neuroimaging Analysis and Processing of Structure.
Neuroinformatics, 2013

Transcriptomics of cortical gray matter thickness decline during normal aging.
NeuroImage, 2013

Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: A pilot project of the ENIGMA-DTI working group.
NeuroImage, 2013

Approaching expert results using a hierarchical cerebellum parcellation protocol for multiple inexpert human raters.
NeuroImage, 2013

Non-local statistical label fusion for multi-atlas segmentation.
Medical Image Anal., 2013

Functional Networks in Temporal-Lobe Epilepsy: A Voxel-Wise Study of Resting-State Functional Connectivity and Gray-Matter Concentration.
Brain Connect., 2013

Automatic segmentation of abdominal wall in ventral hernia CT: a pilot study.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Robust non-local multi-atlas segmentation of the optic nerve.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Whole Brain Functional Connectivity Using Multi-scale Spatio-Spectral Random Effects Model.
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

Robust GM/WM Segmentation of the Spinal Cord with Iterative Non-local Statistical Fusion.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012
Robust Statistical Fusion of Image Labels.
IEEE Trans. Medical Imaging, 2012

Correction to "Formulating Spatially Varying Performance in the Statistical Fusion Framework".
IEEE Trans. Medical Imaging, 2012

Formulating Spatially Varying Performance in the Statistical Fusion Framework.
IEEE Trans. Medical Imaging, 2012

Biological parametric mapping accounting for random regressors with regression calibration and model II regression.
NeuroImage, 2012

Resolution of crossing fibers with constrained compressed sensing using diffusion tensor MRI.
NeuroImage, 2012

Foibles, follies, and fusion: Web-based collaboration for medical image labeling.
NeuroImage, 2012

A comparison of distributional considerations with statistical analysis of resting state fMRI at 3T and 7T.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

Generalized statistical label fusion using multiple consensus levels.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

Finding seeds for segmentation using statistical fusion.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

Towards automatic quantitative quality control for MRI.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

Simultaneous segmentation and statistical label fusion.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

A surgeon specific automatic path planning algorithm for deep brain stimulation.
Proceedings of the Medical Imaging 2012: Image-Guided Procedures, 2012

Quantitative Evaluation of Statistical Inference in Resting State Functional MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Do We Really Need Robust and Alternative Inference Methods for Brain MRI?
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012

Non-local STAPLE: An Intensity-Driven Multi-atlas Rater Model.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Collaborative labeling of malignant glioma.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Out-of-atlas labeling: A multi-atlas approach to cancer segmentation.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
Robust Statistical Label Fusion Through Consensus Level, Labeler Accuracy, and Truth Estimation (COLLATE).
IEEE Trans. Medical Imaging, 2011

Biological parametric mapping with robust and non-parametric statistics.
NeuroImage, 2011

Multi-parametric neuroimaging reproducibility: A 3-T resource study.
NeuroImage, 2011

Robust biological parametric mapping: an improved technique for multimodal brain image analysis.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Statistical fusion of continuous labels: identification of cardiac landmarks.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Effect of regularization parameter and scan time on crossing fibers with constrained compressed sensing.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Foibles, follies, and fusion: assessment of statistical label fusion techniques for web-based collaborations using minimal training.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Accounting for Random Regressors: A Unified Approach to Multi-modality Imaging.
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011

Assessment of Bias for MRI Diffusion Tensor Imaging Using SIMEX.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Characterizing Spatially Varying Performance to Improve Multi-atlas Multi-label Segmentation.
Proceedings of the Information Processing in Medical Imaging, 2011

2010
Erratum to: The Java Image Science Toolkit (JIST) for Rapid Prototyping and Publishing of Neuroimaging Software.
Neuroinformatics, 2010

The Java Image Science Toolkit (JIST) for Rapid Prototyping and Publishing of Neuroimaging Software.
Neuroinformatics, 2010

Resolution of crossing fibers with constrained compressed sensing using traditional diffusion tensor MRI.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

Simultaneous truth and performance level estimation with incomplete, over-complete, and ancillary data.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

Statistical fusion of surface labels provided by multiple raters.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

2008
Robust maximum likelihood estimation in Q-space MRI.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Automatically identifying white matter tracts using cortical labels.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007
Effects of diffusion weighting schemes on the reproducibility of DTI-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T.
NeuroImage, 2007

Diffusion Tensor Estimation by Maximizing Rician Likelihood.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2006
Brain atrophy in long-term abstinent alcoholics who demonstrate impairment on a simulated gambling task.
NeuroImage, 2006

Statistical parametric mapping of brain morphology: Sensitivity is dramatically increased by using brain-extracted images as inputs.
NeuroImage, 2006


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