Lauren O'Donnell

Orcid: 0000-0003-0197-7801

According to our database1, Lauren O'Donnell authored at least 79 papers between 2001 and 2024.

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

Timeline

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Bibliography

2024
DDParcel: Deep Learning Anatomical Brain Parcellation From Diffusion MRI.
IEEE Trans. Medical Imaging, March, 2024

TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance.
Medical Image Anal., 2024

Cross-domain Fiber Cluster Shape Analysis for Language Performance Cognitive Score Prediction.
CoRR, 2024

2023
Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellation.
NeuroImage, June, 2023

Superficial white matter analysis: An efficient point-cloud-based deep learning framework with supervised contrastive learning for consistent tractography parcellation across populations and dMRI acquisitions.
Medical Image Anal., April, 2023

Reconstructing the somatotopic organization of the corticospinal tract remains a challenge for modern tractography methods.
CoRR, 2023

Fiber Tract Shape Measures Inform Prediction of Non-Imaging Phenotypes.
CoRR, 2023

TractCloud: Registration-Free Tractography Parcellation with a Novel Local-Global Streamline Point Cloud Representation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

A Deep Network for Explainable Prediction of Non-imaging Phenotypes Using Anatomical Multi-view Data.
Proceedings of the Computational Diffusion MRI - 14th International Workshop, 2023

A Deep Learning Framework for Estimating Multi-Fiber PICASO Model Parameters of Tissue Microstructure Using Diffusion MRI.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

A Registration- and Uncertainty-Based Framework for White Matter Tract Segmentation with Only One Annotated Subject.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Tractography-Based Parcellation of Cerebellar Dentate Nuclei via a Deep Nonnegative Matrix Factorization Clustering Method.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

GeoLab: Geometry-Based Tractography Parcellation of Superficial White Matter.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

DEEPRGVP: A novel microstructure-informed supervised contrastive learning framework for automated identification of the retinogeniculate pathway using dMRI tractography.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Tractgraphcnn: Anatomically Informed Graph CNN for Classification Using Diffusion MRI Tractography.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Deep Diffusion MRI Registration (DDMReg): A Deep Learning Method for Diffusion MRI Registration.
IEEE Trans. Medical Imaging, 2022

DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis.
IEEE Trans. Medical Imaging, 2022

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

Quantitative mapping of the brain's structural connectivity using diffusion MRI tractography: A review.
NeuroImage, 2022

White matter association tracts underlying language and theory of mind: An investigation of 809 brains from the Human Connectome Project.
NeuroImage, 2022

Age Prediction Performance Varies Across Deep, Superficial, and Cerebellar White Matter Connections.
CoRR, 2022

A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI Tractography.
CoRR, 2022

DFC: Anatomically Informed Fiber Clustering with Self-supervised Deep Learning for Fast and Effective Tractography Parcellation.
CoRR, 2022

TractoFormer: A Novel Fiber-Level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Supwma: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Model and Predict Age and Sex in Healthy Subjects Using Brain White Matter Features: A Deep Learning Approach.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images.
IEEE Trans. Medical Imaging, 2021

Deep learning based segmentation of brain tissue from diffusion MRI.
NeuroImage, 2021

Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?
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NeuroImage, 2021

Image registration: Maximum likelihood, minimum entropy and deep learning.
Medical Image Anal., 2021

Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Celltrack R-CNN: A Novel End-To-End Deep Neural Network For Cell Segmentation And Tracking In Microscopy Images.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

FiberStars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects.
Proceedings of the 14th IEEE Pacific Visualization Symposium, 2021

2020
Creation of a novel trigeminal tractography atlas for automated trigeminal nerve identification.
NeuroImage, 2020

Deep white matter analysis (DeepWMA): Fast and consistent tractography segmentation.
Medical Image Anal., 2020

TRAKO: Efficient Transmission of Tractography Data for Visualization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Mapping Cerebral Connectivity Changes after Mild Traumatic Brain Injury in Older Adults Using Diffusion Tensor Imaging and Riemannian Matching of Elastic Curves.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
MK-curve - Characterizing the relation between mean kurtosis and alterations in the diffusion MRI signal.
NeuroImage, 2019

Deep White Matter Analysis: Fast, Consistent Tractography Segmentation Across Populations and dMRI Acquisitions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Nuclei Segmentation via a Deep Panoptic Model with Semantic Feature Fusion.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Post-Traumatic Cerebral Microhemorrhages and their Effects Upon White Matter Connectivity in the Aging Human Brain.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Efficient 3D Depthwise and Separable Convolutions with Dilation for Brain Tumor Segmentation.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

2018
An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan.
NeuroImage, 2018

Suprathreshold fiber cluster statistics: Leveraging white matter geometry to enhance tractography statistical analysis.
NeuroImage, 2018

Whole brain white matter connectivity analysis using machine learning: An application to autism.
NeuroImage, 2018

Investigation into local white matter abnormality in emotional processing and sensorimotor areas using an automatically annotated fiber clustering in major depressive disorder.
NeuroImage, 2018

A comparison of three fiber tract delineation methods and their impact on white matter analysis.
NeuroImage, 2018

3D Large Kernel Anisotropic Network for Brain Tumor Segmentation.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Supra-Threshold Fiber Cluster Statistics for Data-Driven Whole Brain Tractography Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Patient-Specific Skeletal Muscle Fiber Modeling from Structure Tensor Field of Clinical CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Reconstruction of 3D Muscle Fiber Structure Using High Resolution Cryosectioned Volume.
Proceedings of the Computational Methods and Clinical Applications in Musculoskeletal Imaging, 2017

Comparison between two white matter segmentation strategies: An investigation into white matter segmentation consistency.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Automated connectivity-based groupwise cortical atlas generation: Application to data of neurosurgical patients with brain tumors for cortical parcellation prediction.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Locally-Transferred Fisher Vectors for Texture Classification.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Q-space trajectory imaging for multidimensional diffusion MRI of the human brain.
NeuroImage, 2016

Increasing the impact of medical image computing using community-based open-access hackathons: The NA-MIC and 3D Slicer experience.
Medical Image Anal., 2016

Corticospinal tract modeling for neurosurgical planning by tracking through regions of peritumoral edema and crossing fibers using two-tensor unscented Kalman filter tractography.
Int. J. Comput. Assist. Radiol. Surg., 2016

Fiber clustering based white matter connectivity analysis for prediction of Autism Spectrum Disorder using diffusion tensor imaging.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use?
Medical Image Anal., 2015

Statistical and Machine Learning Methods for Neuroimaging: Examples, Challenges, and Extensions to Diffusion Imaging Data.
Proceedings of the Visualization and Processing of Higher Order Descriptors for Multi-Valued Data, 2015

2013
Fiber clustering versus the parcellation-based connectome.
NeuroImage, 2013

2012
fMRI-DTI modeling via landmark distance atlases for prediction and detection of fiber tracts.
NeuroImage, 2012

Unbiased Groupwise Registration of White Matter Tractography.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2010
The Fiber Laterality Histogram: A New Way to Measure White Matter Asymmetry.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

2009
Quantitative examination of a novel clustering method using magnetic resonance diffusion tensor tractography.
NeuroImage, 2009

Tract-based morphometry for white matter group analysis.
NeuroImage, 2009

2008
Two-tensor streamline tractography through white matter intra-voxel fiber crossings: Assessed by fMRI.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

2007
Automatic Tractography Segmentation Using a High-Dimensional White Matter Atlas.
IEEE Trans. Medical Imaging, 2007

Nonlinear Registration of Diffusion MR Images Based on Fiber Bundles.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Tract-Based Morphometry.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

2006
High-Dimensional White Matter Atlas Generation and Group Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

2005
White Matter Tract Clustering and Correspondence in Populations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

2004
Interface Detection in Diffusion Tensor MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

2003
Diffusion Tensor and Functional MRI Fusion with Anatomical MRI for Image-Guided Neurosurgery.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003

Capturing Brain Deformation.
Proceedings of the Surgery Simulation and Soft Tissue Modeling, International Symposium, 2003

2002
New Approaches to Estimation of White Matter Connectivity in Diffusion Tensor MRI: Elliptic PDEs and Geodesics in a Tensor-Warped Space.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2002

2001
Phase-Based User-Steered Image Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001


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