Lawrence H. Staib

发表

Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results

Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, 2020, Medical Image Anal..

Lawrence H. Staib, Yongmei Michelle Wang, L. Staib, 2005 .

MRI-TRUS Image Synthesis with Application to Image-Guided Prostate Intervention

Lawrence H. Staib, Xenophon Papademetris, John A. Onofrey, 2016, SASHIMI@MICCAI.

Fast parametrized volumetric DTI tract parcellation

Lawrence H. Staib, Hon Pong Ho, Catherine G. Harwood, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Computing 3D Non-rigid Brain Registration Using Extended Robust Point Matching for Composite Multisubject fMRI Analysis

Robert T. Schultz, James S. Duncan, Lawrence H. Staib, 2003, MICCAI.

Using Perturbation Theory to Compute the Morphological Similarity of Diffusion Tensors

Dongrong Xu, Lawrence H. Staib, Ravi Bansal, 2008, IEEE Transactions on Medical Imaging.

An integrated approach to segmentation and nonrigid registration for application in image-guided pelvic radiotherapy

Chao Lu, Zhe Chen, James S. Duncan, 2011, Medical Image Anal..

Functional Brain Image Analysis Using Joint Function-Structure Priors.

Jing Yang, Robert T. Schultz, Lawrence H. Staib, 2004 .

Calculation of the confidence intervals for transformation parameters in the registration of medical images

Dongrong Xu, Lawrence H. Staib, Ravi Bansal, 2009, Medical Image Anal..

Nonlinear Estimation and Modeling of fMRI Data Using Spatio-temporal Support Vector Regression

Robert T. Schultz, Lawrence H. Staib, Yongmei Michelle Wang, 2003, IPMI.

Constrained non-rigid registration using Lagrange multipliers for application in prostate radiotherapy

Chao Lu, James S. Duncan, Lawrence H. Staib, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

Unified Framework for Development, Deployment and Robust Testing of Neuroimaging Algorithms

Dustin Scheinost, Lawrence H. Staib, Alark Joshi, 2011, Neuroinformatics.

Constrained non-rigid registration for use in image-guided adaptive radiotherapy

Zhe Chen, James S. Duncan, Lawrence H. Staib, 2009, Medical Image Anal..

Simultaneous Nonrigid Registration, Segmentation, and Tumor Detection in MRI Guided Cervical Cancer Radiation Therapy

Chao Lu, James S. Duncan, Lawrence H. Staib, 2012, IEEE Transactions on Medical Imaging.

Volumetric layer segmentation using coupled surfaces propagation

Robert T. Schultz, James S. Duncan, Lawrence H. Staib, 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

Cardiac SPECT restoration using MR-based support constraints

Lawrence H. Staib, Albert J. Sinusas, L. Staib, 1995, Proceedings., International Conference on Image Processing.

Statistical Neighbor Distance Influence in Active Contours

James S. Duncan, Lawrence H. Staib, Jing Yang, 2002, MICCAI.

Segmentation and Measurement of the Cortex from 3D MR Images

Robert T. Schultz, James S. Duncan, Lawrence H. Staib, 1998, MICCAI.

Neighbor-constrained segmentation with level set based 3-D deformable models

James S. Duncan, Lawrence H. Staib, Jing Yang, 2004, IEEE Transactions on Medical Imaging.

A New Approach to 3D Sulcal Ribbon Finding from MR Images

Robert T. Schultz, James S. Duncan, Hemant D. Tagare, 1999, MICCAI.

Entropy-Based, Multiple-Portal-to-3DCT Registration for Prostate Radiotherapy Using Iteratively Estimated Segmentation

Zhe Chen, James S. Duncan, Lawrence H. Staib, 1999, MICCAI.

Deformable boundary finding in medical images by integrating gradient and region information

James S. Duncan, Lawrence H. Staib, Amit Chakraborty, 1996, IEEE Trans. Medical Imaging.

Integrated Parcellation and Normalization Using DTI Fasciculography

Lawrence H. Staib, Xenophon Papademetris, Fei Wang, 2011, MICCAI.

3D Brain surface matching based on geodesics and local geometry

Lawrence H. Staib, Yongmei Michelle Wang, Bradley S. Peterson, 2003, Comput. Vis. Image Underst..

Improving the reliability of shape comparison by perturbation

Lawrence H. Staib, Xenophon Papademetris, Fei Wang, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Deformable Fourier models for surface finding in 3-D images

James S. Duncan, Lawrence H. Staib, J. Duncan, 1992, Other Conferences.

Correction to "Radial Basis Functions for Combining Shape and Speckle Tracking in 4D Echocardiography"

Lawrence H. Staib, John S. Duncan, Xenophon Papademetris, 2015, IEEE Trans. Medical Imaging.

Development of a research interface for image guided intervention: initial application to epilepsy neurosurgery

James S. Duncan, Lawrence H. Staib, Hitten Zaveri, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Volumetric Intraoperative Brain Deformation Compensation: Model Development and Phantom Validation

James S. Duncan, Christine DeLorenzo, Lawrence H. Staib, 2012, IEEE Transactions on Medical Imaging.

Segmentation of 3D deformable objects with level set based prior models

James S. Duncan, Hemant D. Tagare, Lawrence H. Staib, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Tracking organ overlap for a constrained non-rigid registration algorithm

James S. Duncan, Lawrence H. Staib, Xenophon Papademetris, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Bayesian Analysis of fMRI Data with ICA Based Spatial Prior

Robert T. Schultz, James S. Duncan, Hemant D. Tagare, 2008, MICCAI.

Shape constraints in deformable models

Robert T. Schultz, Lawrence H. Staib, John S. Duncan, 2000 .

Integrated Intensity and Point-Feature Nonrigid Registration

Robert T. Schultz, James S. Duncan, Lawrence H. Staib, 2004, MICCAI.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part VI

Terry M. Peters, Lawrence H. Staib, Pew-Thian Yap, 2019, MICCAI.

Shape comparison using perturbing shape registration

Lawrence H. Staib, Xenophon Papademetris, Fei Wang, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Measurement of non-rigid motion using contour shape descriptors

James S. Duncan, P. Anandan, Lawrence H. Staib, 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

2-Channel convolutional 3D deep neural network (2CC3D) for fMRI analysis: ASD classification and feature learning

Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Generalizable Multi-Site Training and Testing Of Deep Neural Networks Using Image Normalization

Dana I. Casetti-Dinescu, Lawrence H. Staib, Xenophon Papademetris, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Corrigendum to "Contour tracking in echocardiographic sequences via sparse representation and dictionary learning" [Med. Image Anal.18(2) (2014) 253-271]

James S. Duncan, Lawrence H. Staib, Xenophon Papademetris, 2015, Medical Image Anal..

A Unified Framework to Assess Myocardial Function from 4D Images

James S. Duncan, Pengcheng Shi, Lawrence H. Staib, 1995, CVRMed.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part IV

Terry M. Peters, Lawrence H. Staib, Pew-Thian Yap, 2019, MICCAI.

Correction to: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019

Lawrence H. Staib, Ali R. Khan, Caroline Essert, 2019 .

Integrated approaches to non-rigid registration in medical images

Lawrence H. Staib, Yongmei Michelle Wang, 1998, Proceedings Fourth IEEE Workshop on Applications of Computer Vision. WACV'98 (Cat. No.98EX201).

Prior shape models for boundary finding

Lawrence H. Staib, L. Staib, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Physical model-based non-rigid registration incorporating statistical shape information

Lawrence H. Staib, Yongmei Michelle Wang, L. Staib, 2000, Medical Image Anal..

Volumetric Shape Model for Oriented Tubular Structure from DTI Data

Lawrence H. Staib, Xenophon Papademetris, Fei Wang, 2009, MICCAI.

Image-Guided Intraoperative Cortical Deformation Recovery Using Game Theory: Application to Neocortical Epilepsy Surgery

James S. Duncan, Christine DeLorenzo, Lawrence H. Staib, 2010, IEEE Transactions on Medical Imaging.

Articulated Rigid Registration for Serial Lower-Limb Mouse Imaging

Lawrence H. Staib, Xenophon Papademetris, Albert J. Sinusas, 2005, MICCAI.

Learning Nonrigid Deformations for Constrained Multi-modal Image Registration

Lawrence H. Staib, Xenophon Papademetris, John A. Onofrey, 2013, MICCAI.

Regional Whole Body Fat Quantification in Mice

Lawrence H. Staib, Xenophon Papademetris, Pavel Shkarin, 2005, IPMI.

Prediction of Autism Treatment Response from Baseline fMRI using Random Forests and Tree Bagging pdf

Nicha C. Dvornek, Pamela Ventola, James S. Duncan, 2018, ArXiv.

Using Perturbation theory to reduce noise in diffusion tensor fields

Jun Liu, Dongrong Xu, Lawrence H. Staib, 2009, Medical Image Anal..

Entropy-based dual-portal-to-3-DCT registration incorporating pixel correlation

Zhe Chen, James S. Duncan, Lawrence H. Staib, 2003, IEEE Transactions on Medical Imaging.

IEEE Workshop on Mathematical Methods in Biomedical Image Analysis

Lawrence H. Staib, L. Staib, 2001 .

Shape comparison using perturbing shape registration

Lawrence H. Staib, Xenophon Papademetris, Fei Wang, 2009, CVPR 2009.

Brain shape characterization from deformation

Lawrence H. Staib, Xenophon Papademetris, Marcel Jackowski, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Fast nonrigid image registration using statistical deformation models learned from richly-annotated data

Lawrence H. Staib, Xenophon Papademetris, John A. Onofrey, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Image processing and analysis for medical applications

Lei Zhang, James S. Duncan, Pengcheng Shi, 1994, SIGB.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part III

Terry M. Peters, Lawrence H. Staib, Pew-Thian Yap, 2019, MICCAI.

Image processing and analysis at ipag

James S. Duncan, Lawrence H. Staib, J. Duncan, 2003, IEEE Transactions on Medical Imaging.

A Constrained Non-rigid Registration Algorithm for Use in Prostate Image-Guided Radiotherapy

Zhe Chen, James S. Duncan, Lawrence H. Staib, 2008, MICCAI.

Low-Dimensional Non-Rigid Image Registration Using Statistical Deformation Models From Semi-Supervised Training Data

Lawrence H. Staib, Xenophon Papademetris, John A. Onofrey, 2015, IEEE Transactions on Medical Imaging.

Dual Adversarial Autoencoder for Dermoscopic image Generative Modeling

Lawrence H. Staib, Hao-Yu Yang, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Physical-Space Refraction-Corrected Transmission Ultrasound Computed Tomography Made Computationally Practical

Klaus Mueller, Lawrence H. Staib, Marcel Jackowski, 2008, MICCAI.

Segmenting the Brain Surface From CT Images With Artifacts Using Locally Oriented Appearance and Dictionary Learning

Lawrence H. Staib, Xenophon Papademetris, John A. Onofrey, 2019, IEEE Transactions on Medical Imaging.

An Integrated Approach for Locating Neuroanatomical Structure from MRI

James S. Duncan, Lawrence H. Staib, Amit Chakraborty, 1997, Int. J. Pattern Recognit. Artif. Intell..

Semi-supervised Learning of Nonrigid Deformations for Image Registration

Lawrence H. Staib, Xenophon Papademetris, John A. Onofrey, 2013, MCV.

Augmented inline-based navigation for stereotactic image guided neurosurgery

Dustin Scheinost, Lawrence H. Staib, Alark Joshi, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Characterizing Vascular Connectivity from microCT Images

Lawrence H. Staib, Xenophon Papademetris, Albert J. Sinusas, 2005, MICCAI.

Shape-based 3D surface correspondence using geodesics and local geometry

Lawrence H. Staib, Yongmei Michelle Wang, Bradley S. Peterson, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

Light-sensitive visualization of multimodal data for neurosurgical applications

Lawrence H. Staib, Alark Joshi, Xenophon Papademetris, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Boundary Finding with Prior Shape and Smoothness Models

Lawrence H. Staib, Yongmei Michelle Wang, L. Staib, 2000, IEEE Trans. Pattern Anal. Mach. Intell..

Learning-based Regularization for Cardiac Strain Analysis with Ability for Domain Adaptation pdf

James S. Duncan, Lawrence H. Staib, Zhao Liu, 2018, ArXiv.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part I

Terry M. Peters, Lawrence H. Staib, Pew-Thian Yap, 2019, MICCAI.

ROC-based assessments of 3D cortical surface-matching algorithms

Lawrence H. Staib, Ravi Bansal, Bradley S. Peterson, 2005, NeuroImage.

Vessel Connectivity Using Murray's Hypothesis

Lawrence H. Staib, Xenophon Papademetris, Albert J. Sinusas, 2011, MICCAI.

Contour tracking in echocardiographic sequences via sparse representation and dictionary learning

James S. Duncan, Lawrence H. Staib, Xenophon Papademetris, 2014, Medical Image Anal..

Corrigendum to "Constrained non-rigid registration for use in image-guided adaptive radiotherapy" [Medical Image Analysis 13 (2009) 809-817]

Zhe Chen, James S. Duncan, Lawrence H. Staib, 2010, Medical Image Anal..

Nonrigid Intraoperative Cortical Surface Tracking Using Game Theory

James S. Duncan, Christine DeLorenzo, Lawrence H. Staib, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Chapter 9 – Shape Information in Deformable Models

Lawrence H. Staib, John S. Duncan, Xiaolan Zeng, 2009 .

Medical image analysis using model-based optimization

P. Anandan, Lawrence H. Staib, John S. Duncan, 1990, [1990] Proceedings of the First Conference on Visualization in Biomedical Computing.

Toward reliable, noninvasive measurement of myocardial function from 4D images

James S. Duncan, Lawrence H. Staib, Glynn P. Robinson, 1994, Medical Imaging.

Boundary finding with correspondence using statistical shape models

Lawrence H. Staib, Yongmei Michelle Wang, 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

Research Paper: PathMaster: Content-based Cell Image Retrieval Using Automated Feature Extraction

Perry L. Miller, James S. Duncan, Hemant D. Tagare, 2000, J. Am. Medical Informatics Assoc..

Nonrigid image registration: guest editors' introduction

Colin Studholme, Lawrence H. Staib, A. Ardeshir Goshtasby, 2003, Comput. Vis. Image Underst..

Learning Non‐rigid Deformations for Robust, Constrained Point‐based Registration in Image‐Guided MR‐TRUS Prostate Intervention

Lawrence H. Staib, Xenophon Papademetris, John A. Onofrey, 2017, Medical Image Anal..

Fast marching method to correct for refraction in ultrasound computed tomography

Klaus Mueller, Lawrence H. Staib, Marcel Jackowski, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part V

Terry M. Peters, Lawrence H. Staib, Pew-Thian Yap, 2019, MICCAI.

Liver Tissue Classification in Patients with Hepatocellular Carcinoma by Fusing Structured and Rotationally Invariant Context Representation

James S. Duncan, Lawrence H. Staib, John Treilhard, 2017, MICCAI.

Correcting Nonuniformities in MRI Intensities Using Entropy Minimization Based on an Elastic Model

Lawrence H. Staib, Ravi Bansal, Bradley S. Peterson, 2004, MICCAI.

Parameterized Feasible Boundaries in Gradient Vector Fields

Marcel Worring, Arnold W. M. Smeulders, James S. Duncan, 1996, Comput. Vis. Image Underst..

Development and Reliability of a Method for Using Magnetic Resonance Imaging for the Definition of Regions of Interest for Positron Emission Tomography.

Robert B. Innis, Lawrence H. Staib, Dennis S. Charney, 1998, Clinical positron imaging : official journal of the Institute for Clinical P.E.T.

Neighbor-Constrained Segmentation with 3D Deformable Models

James S. Duncan, Lawrence H. Staib, Jing Yang, 2003, IPMI.

Estimation of Anatomical Connectivity by Anisotropic Front Propagation and Diffusion Tensor Imaging

Lawrence H. Staib, R. Todd Constable, Marcel Jackowski, 2004, MICCAI.

Segmentation of left ventricles from echocardiographic sequences via sparse appearance representation

James S. Duncan, Lawrence H. Staib, Albert J. Sinusas, 2012, 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis.

Functional Brain Image Analysis Using Joint Function-Structure Priors

Robert T. Schultz, James S. Duncan, Lawrence H. Staib, 2004, MICCAI.

Integrated Segmentation and Nonrigid Registration for Application in Prostate Image-Guided Radiotherapy

Chao Lu, Zhe Chen, James S. Duncan, 2010, MICCAI.

Boundary Finding with Parametrically Deformable Models

James S. Duncan, Lawrence H. Staib, J. Duncan, 1992, IEEE Trans. Pattern Anal. Mach. Intell..

Leukemic B-Lymphoblast Cell Detection with Monte Carlo Dropout Ensemble Models

Lawrence H. Staib, Hao-Yu Yang, L. Staib, 2019, Lecture Notes in Bioengineering.

Deformable boundary finding influenced by region homogeneity

James S. Duncan, Lawrence H. Staib, Amit Chakraborty, 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

Left Ventricular Motion and Shape Analysis Using Multiple Imaging Modalities

Lawrence H. Staib, John S. Duncan, J. Duncan, 1988 .

Model-based deformable surface finding for medical images

James S. Duncan, Lawrence H. Staib, J. Duncan, 1996, IEEE Trans. Medical Imaging.

Novel interaction techniques for neurosurgical planning and stereotactic navigation

Dustin Scheinost, Lawrence H. Staib, Alark Joshi, 2008, IEEE Transactions on Visualization and Computer Graphics.

Segmenting the Brain Surface from CT Images with Artifacts Using Dictionary Learning for Non-rigid MR-CT Registration

Lawrence H. Staib, Xenophon Papademetris, John A. Onofrey, 2015, IPMI.

Fasciculography: Robust Prior-Free Real-Time Normalized Volumetric Neural Tract Parcellation

Lawrence H. Staib, Xenophon Papademetris, Fei Wang, 2012, IEEE Transactions on Medical Imaging.

Parametrically deformable contour models

James S. Duncan, Lawrence H. Staib, J. Duncan, 1989, Proceedings CVPR '89: IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Learning nonrigid deformations for constrained point-based registration for image-guided MR-TRUS prostate intervention

Lawrence H. Staib, Xenophon Papademetris, John A. Onofrey, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Elastic Model Based Non-rigid Registration Incorporation Statistical Shape Information

Lawrence H. Staib, Yongmei Michelle Wang, L. Staib, 1998, MICCAI.

Radial Basis Functions for Combining Shape and Speckle Tracking in 4D Echocardiography

James S. Duncan, Lawrence H. Staib, Xenophon Papademetris, 2014, IEEE Transactions on Medical Imaging.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part II

Terry M. Peters, Lawrence H. Staib, Pew-Thian Yap, 2019, MICCAI.

A Novel Approach for the Registration of 2D Portal and 3D CT Images for Treatment Setup Verification in Radiotherapy

Zhe Chen, James S. Duncan, Lawrence H. Staib, 1998, MICCAI.

White matter tractography by anisotropic wavefront evolution and diffusion tensor imaging

Lawrence H. Staib, R. Todd Constable, Marcel Jackowski, 2005, Medical Image Anal..

DTI abnormalities in anterior corpus callosum of rats with spike–wave epilepsy

Dustin Scheinost, Lawrence H. Staib, Xenophon Papademetris, 2009, NeuroImage.

Integrated Intensity and Point-Feature Nonrigid Registration.

Robert T. Schultz, Lawrence H. Staib, John S. Duncan, 2001 .

Segmentation and Measurement of the Cortex from 3D MR Images

Robert T. Schultz, Lawrence H. Staib, John S. Duncan, 1998, MICCAI.

Statistical Analyses of Brain Surfaces Using Gaussian Random Fields on 2-D Manifolds

Hongtu Zhu, Dongrong Xu, Lawrence H. Staib, 2007, IEEE Transactions on Medical Imaging.

Parameterized Feasible Boundaries in Gradient Vector Fields

Marcel Worring, Arnold W. M. Smeulders, James S. Duncan, 1993, IPMI.

Special issue on MICCAI 2019

Lawrence H. Staib, Pengcheng Shi, 2021, Medical Image Anal..

BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis

Juntang Zhuang, Nicha C. Dvornek, Pamela Ventola, 2021, Medical Image Anal..

Use of Artificial Intelligence in Nononcologic Interventional Radiology: Current State and Future Directions

Lawrence H. Staib, Julius Chapiro, Rohil Malpani, 2021, Digestive Disease Interventions.

Learning-Based Regularization for Cardiac Strain Analysis via Domain Adaptation

James S. Duncan, Lawrence H. Staib, Albert J. Sinusas, 2021, IEEE Transactions on Medical Imaging.

An integrated approach to boundary finding in medical images

Lawrence H. Staib, John S. Duncan, Amit Chakraborty, 1994, Proceedings of IEEE Workshop on Biomedical Image Analysis.

Voxel-wise comparisons of the morphology of diffusion tensors across groups of experimental subjects

Dongrong Xu, Lawrence H. Staib, Ravi Bansal, 2007, Psychiatry Research: Neuroimaging.

Computational strategies for meshfree nonrigid registration

Lawrence H. Staib, L. Staib, E. Kahn, 2006 .

Learning intervention-induced deformations for non-rigid MR-CT registration and electrode localization in epilepsy patients

Lawrence H. Staib, Xenophon Papademetris, John A. Onofrey, 2015, NeuroImage: Clinical.

Regional myocardial strain analysis via 2D speckle tracking echocardiography: validation with sonomicrometry and correlation with regional blood flow in the presence of graded coronary stenoses and dobutamine stress

James S. Duncan, Lawrence H. Staib, Albert J. Sinusas, 2020, Cardiovascular Ultrasound.

Temporal lobe volume in panic disorder — a quantitative magnetic resonance imaging study

Lawrence H. Staib, Dennis S. Charney, Scott W. Woods, 2000, Psychiatry Research: Neuroimaging.

Anatomical Brain Images Alone Can Accurately Diagnose Chronic Neuropsychiatric Illnesses

Jun Liu, Dongrong Xu, Lawrence H. Staib, 2012, PloS one.

The image processing handbook, 2nd edition J. C. Russ

Lawrence H. Staib, L. Staib, 1998, Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology.

An integrated approach for surface finding in medical images

Lawrence H. Staib, John S. Duncan, L. Staib, 1996, Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis.