Bennett A. Landman
Orcid: 0000-0001-5733-2127
According to our database1,
Bennett A. Landman
authored at least 317 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Unsupervised Discovery of Clinical Disease Signatures Using Probabilistic Independence.
CoRR, 2024
Super-Resolution Multi-Contrast Unbiased Eye Atlases With Deep Probabilistic Refinement.
CoRR, 2024
2023
UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation.
Medical Image Anal., December, 2023
IEEE J. Biomed. Health Informatics, September, 2023
NeuroImage, September, 2023
Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge.
NeuroImage, August, 2023
Body composition assessment with limited field-of-view computed tomography: A semantic image extension perspective.
Medical Image Anal., August, 2023
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives.
Medical Image Anal., April, 2023
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.
IEEE Trans. Medical Imaging, March, 2023
Denoising of diffusion MRI in the cervical spinal cord - effects of denoising strategy and acquisition on intra-cord contrast, signal modeling, and feature conspicuity.
NeuroImage, 2023
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution.
CoRR, 2023
Inter-vendor harmonization of Computed Tomography (CT) reconstruction kernels using unpaired image translation.
CoRR, 2023
Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonization.
CoRR, 2023
Enhancing Hierarchical Transformers for Whole Brain Segmentation with Intracranial Measurements Integration.
CoRR, 2023
Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures.
CoRR, 2023
Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training.
CoRR, 2023
Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images.
CoRR, 2023
Robust Fiber ODF Estimation Using Deep Constrained Spherical Deconvolution for Diffusion MRI.
CoRR, 2023
CoRR, 2023
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging.
CoRR, 2023
CoRR, 2023
A Unified Single-stage Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-weighted MRI.
CoRR, 2023
Hierarchical particle optimization for cortical shape correspondence in temporal lobe resection.
Comput. Biol. Medicine, 2023
SynBOLD-DisCo: synthetic BOLD images for distortion correction of fMRI without additional calibration scans.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Comparing voxel- and feature-wise harmonization of complex graph measures from multiple sites for structural brain network investigation of aging.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Design and implementation of a real-time research data warehouse: lessons learned from Vanderbilt's ImageVU (Conference Presentation).
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Batch size go big or go home: counterintuitive improvement in medical autoencoders with smaller batch size.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Mapping the impact of approximate gradient nonlinearity fields correction on tractography.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Automatic preprocessing pipeline for white matter functional analyses of large-scale databases.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Harmonization of repetition time and scanner effects on estimates of brain hemodynamic response function.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Longitudinal variability analysis on low-dose abdominal CT with deep learning-based segmentation.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context.
Proceedings of the Medical Imaging with Deep Learning, 2023
Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis.
Proceedings of the Medical Imaging with Deep Learning, 2023
A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-Weighted MRI.
Proceedings of the Computational Diffusion MRI - 14th International Workshop, 2023
Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Scaling up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
IEEE Trans. Medical Imaging, 2022
Neuroinformatics, 2022
An atlas of white matter anatomy, its variability, and reproducibility based on constrained spherical deconvolution of diffusion MRI.
NeuroImage, 2022
Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI.
NeuroImage, 2022
Workflow Integration of Research AI Tools into a Hospital Radiology Rapid Prototyping Environment.
J. Digit. Imaging, 2022
Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis.
J. Digit. Imaging, 2022
CoRR, 2022
Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training.
CoRR, 2022
Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ Segmentation.
CoRR, 2022
Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning.
CoRR, 2022
A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging.
CoRR, 2022
CoRR, 2022
Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware Segmentation.
CoRR, 2022
Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review.
CoRR, 2022
Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data.
CoRR, 2022
Corrigendum to "Acceleration of spleen segmentation with end-to-end deep learning method and automated pipeline" [Comput. Biol. Med. 107 (2019) 109-117].
Comput. Biol. Medicine, 2022
Comput. Biol. Medicine, 2022
Reducing uncertainty in cancer risk estimation for patients with indeterminate pulmonary nodules using an integrated deep learning model.
Comput. Biol. Medicine, 2022
Enabling AI Innovation via Data and Model Sharing: An Overview of the Nsf Convergence Accelerator Track D.
AI Mag., 2022
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
Extending the value of routine lung screening CT with quantitative body composition assessment.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Supervised deep generation of high-resolution arterial phase computed tomography kidney substructure atlas.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Multimodal neuroimaging in pediatric type 1 diabetes: a pilot multisite feasibility study of acquisition quality, motion, and variability.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Joint independent component analysis for hypothesizing spatiotemporal relationships between longitudinal gray and white matter changes in preclinical Alzheimer's disease.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Cross-Scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images.
Proceedings of the Multiscale Multimodal Medical Imaging - Third International Workshop, 2022
Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging.
Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022
Multi-modal learning with missing data for cancer diagnosis using histopathological and genomic data.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
FedACA: An Adaptive Communication-Efficient Asynchronous Framework for Federated Learning.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2022
2021
IEEE Trans. Medical Imaging, 2021
Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2021
Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography.
Neuroinformatics, 2021
Fiber tractography bundle segmentation depends on scanner effects, vendor effects, acquisition resolution, diffusion sampling scheme, diffusion sensitization, and bundle segmentation workflow.
NeuroImage, 2021
Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?
NeuroImage, 2021
Labeling lateral prefrontal sulci using spherical data augmentation and context-aware training.
NeuroImage, 2021
On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge.
NeuroImage, 2021
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking.
Medical Image Anal., 2021
Medical Image Anal., 2021
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.
CoRR, 2021
CoRR, 2021
CoRR, 2021
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Measure partial liver volumetric variations from paired inspiratory-expiratory chest CT scans.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Joint analysis of structural connectivity and cortical surface features: correlates with mild traumatic brain injury.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Deep multi-path network integrating incomplete biomarker and chest CT data for evaluating lung cancer risk.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Establishing surface correspondence for post-surgical cortical thickness changes in temporal lobe epilepsy.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Rap-Net: Coarse-To-Fine Multi-Organ Segmentation With Single Random Anatomical Prior.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the MICCAI Workshop on Computational Pathology, 2021
Image-based Phenotyping for Risk Stratification in the National Lung Screening Trial.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Intrinsic Evaluation of Contextual and Non-contextual Word Embeddings using Radiology Reports.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Lasting consequences of concussion on the aging brain: Findings from the Baltimore Longitudinal Study of Aging.
NeuroImage, 2020
Medical Image Anal., 2020
Anatomical context protects deep learning from adversarial perturbations in medical imaging.
Neurocomputing, 2020
Neurocomputing, 2020
Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking.
CoRR, 2020
Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning.
CoRR, 2020
Proceedings of the Medical Imaging 2020: Image Processing, 2020
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
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
Proceedings of the Medical Imaging 2020: Image Processing, 2020
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
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
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020
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
IEEE Trans. Medical Imaging, 2019
IEEE Trans. Medical Imaging, 2019
Electronic Medical Record Context Signatures Improve Diagnostic Classification Using Medical Image Computing.
IEEE J. Biomed. Health Informatics, 2019
Neuroinformatics, 2019
Vascular burden and APOE ε4 are associated with white matter microstructural decline in cognitively normal older adults.
NeuroImage, 2019
NeuroImage, 2019
Diffusion MRI microstructural models in the cervical spinal cord - Application, normative values, and correlations with histological analysis.
NeuroImage, 2019
NeuroImage, 2019
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
CoRR, 2019
Deep Learning Captures More Accurate Diffusion Fiber Orientations Distributions than Constrained Spherical Deconvolution.
CoRR, 2019
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
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
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
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
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
J. Digit. Imaging, 2018
J. Digit. Imaging, 2018
Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning.
CoRR, 2018
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
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
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Proceedings of the Medical Imaging 2018: Image Processing, 2018
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
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
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
Neuroinformatics, 2017
Convergent individual differences in visual cortices, but not the amygdala across standard amygdalar fMRI probe tasks.
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
Proceedings of the Medical Imaging 2017: Image Processing, 2017
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
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
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
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
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
NeuroImage, 2016
Vanderbilt University Institute of Imaging Science Center for Computational Imaging XNAT: A multimodal data archive and processing environment.
NeuroImage, 2016
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
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Proceedings of the Medical Imaging 2016: Image Processing, 2016
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
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
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
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
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
2014
IEEE Trans. Biomed. Eng., 2014
Multisurgeon, Multisite Validation of a Trajectory Planning Algorithm for Deep Brain Stimulation Procedures.
IEEE Trans. Biomed. Eng., 2014
Neuroinformatics, 2014
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
Medical Image Anal., 2014
Medical Image Anal., 2014
Proceedings of the Medical Imaging 2014: Image Processing, 2014
Proceedings of the Medical Imaging 2014: Image Processing, 2014
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
Proceedings of the Medical Imaging 2014: Image Processing, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Combining meta- and mega- analytic approaches for multi-site diffusion imaging based genetic studies: From the ENIGMA-DTI working group.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
Neuroinformatics, 2013
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
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
Proceedings of the Medical Imaging 2013: Image Processing, 2013
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
Correction to "Formulating Spatially Varying Performance in the Statistical Fusion Framework".
IEEE Trans. Medical Imaging, 2012
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
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
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Proceedings of the Medical Imaging 2012: Image-Guided Procedures, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
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
NeuroImage, 2011
NeuroImage, 2011
Robust biological parametric mapping: an improved technique for multimodal brain image analysis.
Proceedings of the Medical Imaging 2011: Image Processing, 2011
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
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011
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
Proceedings of the Medical Imaging 2010: Image Processing, 2010
2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
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
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